Abstract

Water pixel extraction and correction of the atmospheric signal represent prerequisite steps prior to applying algorithms dedicated to the assessment of water quality of natural surface water bodies. The recent multiplication of medium spatial resolution sensors (10–60 m) provides the required constellation to monitoring bio-optical and biogeochemical parameters of surface waters at the relevant spatial-temporal scales. Here we present a new approach to identify water pixels and to extract the atmospheric contribution to the top of atmosphere signal measured by the NAOMI sensor on board the first Vietnamese satellite, VNREDSat-1. After verifying the TOA calibration of NAOMI through a vicarious calibration exercise, we adapt a recent water pixel extraction algorithm (WiPE) to NAOMI, and develop a new atmospheric correction algorithm (referred to as red-NIR) based on the use of the red and NIR bands (the only bands available for that purpose on NAOMI) and spectral relationships. The evaluation of red-NIR with a match-up data set gathering remote sensing reflectance, Rrs, measurements performed at the AERONET-OC stations in moderately turbid waters indicates excellent performance in the blue and green part of the spectrum (similar to the performances reached by the SeaDAS NIR-SWIR algorithms) and lower accuracy in the red. Intercomparison of simultaneous images collected by NAOMI and OLI over a more turbid water body shows an excellent agreement between the NAOMI-Rrs estimated by the present processing, and the OLI-Rrs estimated from the ACOLITE algorithm. This approach will allow sensors that do not have SWIR bands, such as SPOT-6 and -7, to be processed, making their data exploitation available for long-term temporal analyses.

© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

Full Article  |  PDF Article
OSA Recommended Articles
Improved atmospheric correction algorithm for Landsat 8–OLI data in turbid waters: a case study for the Lake Taihu, China

Dian Wang, Ma Ronghua, Kun Xue, and Jing Li
Opt. Express 27(20) A1400-A1418 (2019)

UV-NIR approach with non-zero water-leaving radiance approximation for atmospheric correction of satellite imagery in inland and coastal zones

Rakesh Kumar Singh, Palanisamy Shanmugam, Xianqiang He, and Thomas Schroeder
Opt. Express 27(16) A1118-A1145 (2019)

Revisiting short-wave-infrared (SWIR) bands for atmospheric correction in coastal waters

Nima Pahlevan, Jean-Claude Roger, and Ziauddin Ahmad
Opt. Express 25(6) 6015-6035 (2017)

References

  • View by:
  • |
  • |
  • |

  1. “Climate hange 2001: impacts, adaptation, and vulnerability,” IPCC report (2001).
  2. P. Schmidt-Thomé, T. H. Nguyen, T. L. Pham, J. Jarva, and K. Nuottimäki, “Climate change adaptation measures in Vietnam,” SpringerBriefs in Earth Scien. (2015).
  3. H. Loisel, A. Magin, V. Vantrepotte, D. Dessailly, D. D. Ngoc, P. Garnesson, S. Ouillon, J.-P. Lefebvre, X. Mériaux, and T. M. Phan, “Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade,” Remote Sens. Environ. 150, 218–230 (2014).
    [Crossref]
  4. E. J. Anthony, G. Brunier, M. Besset, M. Goichot, P. Dussouillez, and V. L. Nguyen, “Linking rapid erosion of the Mekong River delta to human activities,” Sci. Rep. 5(1), 14745 (2015).
    [Crossref]
  5. P. Marchesiello, N. M. Nguyen, N. Gratiot, H. Loisel, E. J. Anthony, D. C. San, T. Nguyen, R. Almar, and E. Kestenare, “Erosion of the coastal Mekong delta: Assessing natural against man induced processes,” Cont. Shelf Res. (2019), https://doi.org/10.1016/j.csr.2019.05.004 .
  6. L. P. Melo de Almeida, R. Almar, B. Meyssignac, and N. T. Viet, “Contributions to coastal flooding events in southeast of Vietnam and their link with global mean sea level rise,” Geosciences (Basel, Switz.) 8(12), 437 (2018).
    [Crossref]
  7. P. T. M. Hanh, D. T. Nghi, T. D. Lan, N. V. Quan, D. T. Ba, and P. H. Viet, “The status and distribution of PCBs along the coast of Vietnam,” Environ. Geochem. Health 41(1), 381–390 (2019)..
    [Crossref]
  8. H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
    [Crossref]
  9. Q. Vanhellemont and K. Ruddick, “Turbid wakes associated with offshore wind turbines observed with Landsat 8,” Remote Sens. Environ. 145, 105–115 (2014).
    [Crossref]
  10. J. A. Concha and J. R. Schott, “Retrieval of color producing agents in Case 2 waters using Landsat 8,” Remote Sens. Environ. 185, 95–107 (2016).
    [Crossref]
  11. T. Kutser, G. C. Pascual, C. Barbosa, B. Paavel, R. Ferreira, L. Carvalho, and K. Toming, “Mapping inland water carbon content with Landsat 8 data,” Int. J. Remote Sens. 37(13), 2950–2961 (2016).
    [Crossref]
  12. L. Lymburner, E. Botha, E. Hestir, J. Anstee, S. Sagar, A. Dekker, and T. Malthus, “Landsat 8: providing continuity and increased precision for measuring multi-decadal time series of total suspended matter,” Remote Sens. Environ. 185, 108–118 (2016).
    [Crossref]
  13. Z. Lee, S. Shang, L. Qi, J. Yan, and G. Lin, “A semi-analytical scheme to estimate Secchi-disk depth from Landsat-8 measurements,” Remote Sens. Environ. 177, 101–106 (2016).
    [Crossref]
  14. J. A. Urbanski, A. Wochna, I. Bubak, W. Grzybowski, K. Lukawska-Matuszewska, M. Łącka, S. Śliwińska, B. Wojtasiewicz, and M. Zajączkowski, “Application of Landsat 8 imagery to regional-scale assessment of lake water quality,” ITC J. 51, 28–36 (2016).
    [Crossref]
  15. E. T. Slonecker, K. J. Daniel, and A. P. Brian, “The new Landsat 8 potential for remote sensing of colored dissolved organic matter (CDOM),” Mar. Pollut. Bull. 107(2), 518–527 (2016).
    [Crossref]
  16. Y. Li, Y. Zhang, K. Shi, Y. Zhou, Y. Zhang, X. Liu, and Y. Guo, “Spatiotemporal dynamics of chlorophyll-a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors,” Environ. Sci. Pollut. Res. 25(2), 1359–1374 (2018).
    [Crossref]
  17. J. Li and D. P. Roy, “A global analysis of Sentinel-2A, Sentinel-2B and Landsat-8 data revisit intervals and implications for terrestrial monitoring,” Remote Sens. 9(9), 902 (2017).
    [Crossref]
  18. C. D. Minh, “Space Technology Development of Vietnam in 2011-2012,” Proceedings of APRSAF, 19 (2012).
  19. P. Luquet, A. Chikouche, A. B Benbouzid, J. J. Arnoux, E. Chinal, C Massol, P. Rouchit, and S. de Zotti, “NAOMI instrument: a product line of compact & versatile cameras designed for high resolution missions in Earth observation,” Proceedings of the 7th ICSO (2008).
  20. D. D. Ngoc, H. Loisel, C. Jamet, V. Vantrepotte, L. Duforêt-Gaurier, C. D. Minh, and A. Mangin, “Coastal and inland water pixels extraction algorithm (WiPE) from spectral shape analysis and HSV transformation applied to Landsat 8 OLI and Sentinel-2 MSI,” Remote Sens. Environ. 223, 208–228 (2019).
    [Crossref]
  21. F. Steinmetz, P.-Y. Deschamps, and D. Ramon, “Atmospheric correction in presence of sun glint: Application to MERIS,” Opt. Express 19(10), 9783–9800 (2011).
    [Crossref]
  22. B. A. Franz, S. W. Bailey, N. Kuring, and P. J. Werdell, “Ocean color measurements with the Operational Land Imager on Landsat-8: implementation and evaluation in seaDAS,” J. Appl. Remote. Sens. 9(1), 096070 (2015).
    [Crossref]
  23. C. Brockmann, R. Doerffer, M. Peters, K. Stelzer, S. Embacher, and A. Ruescas, “Evolution of the C2RCC neural network for Sentinel 2 and 3 for the retrieval of ocean colour products in normal and extreme optically complex waters,” Proceedings of Living Planet Symposium (2016).
  24. M. Main-Knorn, B. Pflug, J. Louis, V. Debaecker, U. Müller-Wilm, and F. Gascon, “Sen2Cor for Sentinel-2,” Proceedings Volume 10427, Image and Signal Processing for Remote Sensing XXIII (2017).
  25. N. Pahlevan, J. R. Schott, B. A. Franz, G. Zibordi, B. Markham, S. Bailey, C. B. Schaaf, M. Ondrusek, S. Greb, and C. M. Strait, “Landsat 8 remote sensing reflectance (Rrs) products: evaluations, intercomparisons, and enhancements,” Remote Sens. Environ. 190, 289–301 (2017).
    [Crossref]
  26. L. De Keukelaere, S. Sterckx, S. Adriaensen, E. Knaeps, I. Reusen, C. Giardino, M. Bresciani, P. Hunter, C. Neil, D. Van der Zande, and D. Vaiciute, “Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters,” Eur. J. Remote. Sens. 51(1), 525–542 (2018).
    [Crossref]
  27. Q. Vanhellemont, “Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives,” Remote Sens. Environ. 225, 175–192 (2019).
    [Crossref]
  28. P. S. Chavez, “An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data,” Remote Sens. Environ. 24(3), 459–479 (1988).
    [Crossref]
  29. D. Doxaran, P. Castaing, and S. J. Lavender, “Monitoring the maximum turbidity zone and detecting fine-scale turbidity features in the Gironde estuary using high spatial resolution satellite sensor (SPOT HRV, Landsat ETM+) data,” Int. J. Remote Sens. 27(11), 2303–2321 (2006).
    [Crossref]
  30. V. S. Martins, C. C. F. Barbosa, L. A. S. de Carvalho, D. S. F. Jorge, F. L. Lobo, and E. M. L. M. Novo, “Assessment of atmospheric correction methods for Sentinel-2 MSI images applied to Amazon floodplain lakes,” Remote Sens. 9(4), 322 (2017).
    [Crossref]
  31. S. Novoa, D. Doxaran, A. Ody, Q. Vanhellemont, V. Lafon, B. Lubac, and P. Gernez, “Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters,” Remote Sens. 9(1), 61 (2017).
    [Crossref]
  32. J. Wei, Z. Lee, R. Garcia, L. Zoffoli, R. A. Armstrong, Z. Shang, P. Sheldon, and R. F. Chen, “An assessment of Landsat-8 atmospheric correction schemes and remote sensing reflectance products in coral reefs and coastal turbid waters,” Remote Sens. Environ. 215, 18–32 (2018).
    [Crossref]
  33. C. O. Ilori, N. Pahlevan, and A. Knudby, “Analyzing performances of different atmospheric correction techniques for Landsat 8: application for coastal remote sensing,” Remote Sens. 11(4), 469 (2019).
    [Crossref]
  34. G. Zibordi, F. Mélin, and J.-F. Berthon, “A time-series of above-water radiometric measurements for coastal water monitoring and remote sensing product validation,” IEEE Geos. and Remote Sens. Lett. 3(1), 120–124 (2006).
    [Crossref]
  35. M. Chami, B. Lafrance, B. Fougnie, J. Chowdhary, T. Harmel, and F. Waquet, “OSOAA: a vector radiative transfer model of coupled atmosphere-ocean system for a rough sea surface application to the estimates of the directional variations of the water leaving reflectance to better process multi-angular satellite sensors data over the ocean,” Opt. Express 23(21), 27829–27852 (2015).
    [Crossref]
  36. G. Zibordi, J.-F. Berthon, F. Mélin, D. D’Alimonte, and S. Kaitala, “Validation of satellite ocean color primary products at optically complex coastal sites: Northern Adriatic Sea, Northern Baltic Proper and Gulf of Finland,” Remote Sens. Environ. 113(12), 2574–2591 (2009).
    [Crossref]
  37. G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
    [Crossref]
  38. B. Nechad, K. G. Ruddick, and Y. Park, “Calibration and validation of a generic multisensor algorithm for mapping of total suspended matter in turbid waters,” Remote Sensing of Environment. 114(4), 854–866 (2010).
    [Crossref]
  39. B. Lubac and H. Loisel, “Variability and classification of remote sensing reflectance spectra in the eastern English Channel and southern North Sea,” Remote Sens. Environ. 110(1), 45–58 (2007).
    [Crossref]
  40. H. Loisel, X. Mériaux, A. Poteau, L. F. Artigas, B. Lubac, A. Gardel, J. Caillaud, and S. Lesourd, “Analyze of the inherent optical properties of French Guiana coastal waters for remote sensing applications,” J. Coast. Res. 56, 1532–1536 (2009).
  41. V. Vantrepotte, H. Loisel, X. Mériaux, G. Neukermans, D. Dessailly, C. Jamet, E. Gensac, and A. Gardel, “Seasonal and inter-annual (2002-2010) variability of the suspended particulate matter as retrieved from satellite ocean color sensor over the French Guiana coastal waters,” J. Coast. Res. 64, 1750–1754 (2011).
  42. C. Goyens, C. Jamet, and K. G. Ruddick, “Spectral relationships for atmospheric correction. I. Validation of red and near infra-red marine reflectance relationships,” Opt. Express 21(18), 21162–21175 (2013).
    [Crossref]
  43. G. Thuillier, M. Hersé, D. Labs, T. Foujols, W. Peetermans, D. Gillotay, P. C. Simon, and H. Mandel, “The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions,” Sol. Phys. 214(1), 1–22 (2003).
    [Crossref]
  44. E.P Shettle and R.W. Fenn, “Models for the aerosols of the lower atmosphere and the effects of humidity variations on their optical properties”, Report No. AFGL-TR-79-0214, Environmental Research Papers No.676, Bedford, MA: AF Geophysics Laboratory (1979).
  45. C. Cox and W. Munk, “Measurement of the roughness of the sea surface from photographs of the Sun’s glitter,” J. Opt. Soc. Am. 44(11), 838–850 (1954).
    [Crossref]
  46. J. H. Ahn, Y. J. Park, W. Kim, B. Lee, and I. S. Oh, “Vicarious calibration of the geostationary ocean color imager,” Opt. Express 23(18), 23236–3258 (2015).
    [Crossref]
  47. C. D. Mobley, J. Werdell, B. Franz, Z. Ahmad, and S. Bailey, “Atmospheric correction for satellite ocean color radiometry,” A Tutorial and Documentation of the Algorithms Used by the NASA Ocean Biology Processing Group (2016).
  48. H. R. Gordon and M. Wang, “Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm,” Appl. Opt. 33(3), 443–452 (1994).
    [Crossref]
  49. H. Gordon, “Atmospheric correction of ocean color imagery in the earth observing system era,” J. Geophys. Res. Atmos. 102(D14), 17081–17106 (1997).
    [Crossref]
  50. P. Koepke, “Effective reflectance of oceanic whitecaps,” Appl. Opt. 23(11), 1816–1824 (1984).
    [Crossref]
  51. R. Frouin, M. Schwindling, and P.-Y. Deschamps, “Spectral reflectance of sea foam in the visible and near-infrared: In situ measurements and remote sensing implications,” J. Geophys. Res. 101(C6), 14361–14371 (1996).
    [Crossref]
  52. S. Kay, J. D. Hedley, and S. Lavender, “Sun glint correction of high and low spatial resolution images of aquatic scenes: a review of methods for visible and near-infrared wavelengths,” Remote Sens. 1(4), 697–730 (2009).
    [Crossref]
  53. S. W. Bailey, B. A. Franz, and P. J. Werdell, “Estimation of near-infrared water-leaving reflectance for satellite ocean color data processing,” Opt. Express 18(7), 7521–7527 (2010).
    [Crossref]
  54. K. G. Ruddick, F. Ovidio, and M. Rijkeboer, “Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters,” Appl. Opt. 39(6), 897–912 (2000).
    [Crossref]
  55. M. Wang, W. Shi, and L. Jiang, “Atmospheric correction using near-infrared bands for satellite ocean color data processing in the turbid western Pacific region,” Opt. Express 20(2), 741–753 (2012).
    [Crossref]
  56. M. Wang and W. Shi, “The NIR-SWIR combined atmospheric correction approach for MODIS ocean color data processing,” Opt. Express 15(24), 15722–15733 (2007).
    [Crossref]
  57. T. Schroeder, I. Behnert, M. Schaale, J. Fischer, and R. Doerffer, “Atmospheric correction algorithm for MERIS above case-2 waters,” Int. J. Remote Sens. 28(7), 1469–1486 (2007).
    [Crossref]
  58. J. Brajarda, R. Santera, M. Créponb, and S. Thiria, “Atmospheric correction of MERIS data for case-2 waters using a neuro-variational inversion,” Remote Sens. Environ. 126, 51–61 (2012).
    [Crossref]
  59. B. Han, H. Loisel, V. Vantrepotte, X. Mériaux, P. Bryère, S. Ouillon, D. Dessailly, Q. Xing, and J. Zhu, “Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters,” Remote Sens. 8(3), 211 (2016).
    [Crossref]
  60. J.-M. Nicolas, P.-Y. Deschamps, H. Loisel, and C. Moulin, “ATBD, Atmospheric correction algorithms, POLDER2 Ocean Color,” https://polder-mission.cnes.fr/en/POLDER/SCIEPROD/oc_calib.htm (2005).
  61. J. H. Ahn, Y. J. Park, J. H. Ryu, and B. Lee, “Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI),” Ocean Sci. J. 47(3), 247–259 (2012).
    [Crossref]

2019 (4)

P. T. M. Hanh, D. T. Nghi, T. D. Lan, N. V. Quan, D. T. Ba, and P. H. Viet, “The status and distribution of PCBs along the coast of Vietnam,” Environ. Geochem. Health 41(1), 381–390 (2019)..
[Crossref]

D. D. Ngoc, H. Loisel, C. Jamet, V. Vantrepotte, L. Duforêt-Gaurier, C. D. Minh, and A. Mangin, “Coastal and inland water pixels extraction algorithm (WiPE) from spectral shape analysis and HSV transformation applied to Landsat 8 OLI and Sentinel-2 MSI,” Remote Sens. Environ. 223, 208–228 (2019).
[Crossref]

Q. Vanhellemont, “Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives,” Remote Sens. Environ. 225, 175–192 (2019).
[Crossref]

C. O. Ilori, N. Pahlevan, and A. Knudby, “Analyzing performances of different atmospheric correction techniques for Landsat 8: application for coastal remote sensing,” Remote Sens. 11(4), 469 (2019).
[Crossref]

2018 (4)

L. De Keukelaere, S. Sterckx, S. Adriaensen, E. Knaeps, I. Reusen, C. Giardino, M. Bresciani, P. Hunter, C. Neil, D. Van der Zande, and D. Vaiciute, “Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters,” Eur. J. Remote. Sens. 51(1), 525–542 (2018).
[Crossref]

J. Wei, Z. Lee, R. Garcia, L. Zoffoli, R. A. Armstrong, Z. Shang, P. Sheldon, and R. F. Chen, “An assessment of Landsat-8 atmospheric correction schemes and remote sensing reflectance products in coral reefs and coastal turbid waters,” Remote Sens. Environ. 215, 18–32 (2018).
[Crossref]

L. P. Melo de Almeida, R. Almar, B. Meyssignac, and N. T. Viet, “Contributions to coastal flooding events in southeast of Vietnam and their link with global mean sea level rise,” Geosciences (Basel, Switz.) 8(12), 437 (2018).
[Crossref]

Y. Li, Y. Zhang, K. Shi, Y. Zhou, Y. Zhang, X. Liu, and Y. Guo, “Spatiotemporal dynamics of chlorophyll-a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors,” Environ. Sci. Pollut. Res. 25(2), 1359–1374 (2018).
[Crossref]

2017 (5)

J. Li and D. P. Roy, “A global analysis of Sentinel-2A, Sentinel-2B and Landsat-8 data revisit intervals and implications for terrestrial monitoring,” Remote Sens. 9(9), 902 (2017).
[Crossref]

N. Pahlevan, J. R. Schott, B. A. Franz, G. Zibordi, B. Markham, S. Bailey, C. B. Schaaf, M. Ondrusek, S. Greb, and C. M. Strait, “Landsat 8 remote sensing reflectance (Rrs) products: evaluations, intercomparisons, and enhancements,” Remote Sens. Environ. 190, 289–301 (2017).
[Crossref]

H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
[Crossref]

V. S. Martins, C. C. F. Barbosa, L. A. S. de Carvalho, D. S. F. Jorge, F. L. Lobo, and E. M. L. M. Novo, “Assessment of atmospheric correction methods for Sentinel-2 MSI images applied to Amazon floodplain lakes,” Remote Sens. 9(4), 322 (2017).
[Crossref]

S. Novoa, D. Doxaran, A. Ody, Q. Vanhellemont, V. Lafon, B. Lubac, and P. Gernez, “Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters,” Remote Sens. 9(1), 61 (2017).
[Crossref]

2016 (7)

J. A. Concha and J. R. Schott, “Retrieval of color producing agents in Case 2 waters using Landsat 8,” Remote Sens. Environ. 185, 95–107 (2016).
[Crossref]

T. Kutser, G. C. Pascual, C. Barbosa, B. Paavel, R. Ferreira, L. Carvalho, and K. Toming, “Mapping inland water carbon content with Landsat 8 data,” Int. J. Remote Sens. 37(13), 2950–2961 (2016).
[Crossref]

L. Lymburner, E. Botha, E. Hestir, J. Anstee, S. Sagar, A. Dekker, and T. Malthus, “Landsat 8: providing continuity and increased precision for measuring multi-decadal time series of total suspended matter,” Remote Sens. Environ. 185, 108–118 (2016).
[Crossref]

Z. Lee, S. Shang, L. Qi, J. Yan, and G. Lin, “A semi-analytical scheme to estimate Secchi-disk depth from Landsat-8 measurements,” Remote Sens. Environ. 177, 101–106 (2016).
[Crossref]

J. A. Urbanski, A. Wochna, I. Bubak, W. Grzybowski, K. Lukawska-Matuszewska, M. Łącka, S. Śliwińska, B. Wojtasiewicz, and M. Zajączkowski, “Application of Landsat 8 imagery to regional-scale assessment of lake water quality,” ITC J. 51, 28–36 (2016).
[Crossref]

E. T. Slonecker, K. J. Daniel, and A. P. Brian, “The new Landsat 8 potential for remote sensing of colored dissolved organic matter (CDOM),” Mar. Pollut. Bull. 107(2), 518–527 (2016).
[Crossref]

B. Han, H. Loisel, V. Vantrepotte, X. Mériaux, P. Bryère, S. Ouillon, D. Dessailly, Q. Xing, and J. Zhu, “Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters,” Remote Sens. 8(3), 211 (2016).
[Crossref]

2015 (4)

J. H. Ahn, Y. J. Park, W. Kim, B. Lee, and I. S. Oh, “Vicarious calibration of the geostationary ocean color imager,” Opt. Express 23(18), 23236–3258 (2015).
[Crossref]

M. Chami, B. Lafrance, B. Fougnie, J. Chowdhary, T. Harmel, and F. Waquet, “OSOAA: a vector radiative transfer model of coupled atmosphere-ocean system for a rough sea surface application to the estimates of the directional variations of the water leaving reflectance to better process multi-angular satellite sensors data over the ocean,” Opt. Express 23(21), 27829–27852 (2015).
[Crossref]

E. J. Anthony, G. Brunier, M. Besset, M. Goichot, P. Dussouillez, and V. L. Nguyen, “Linking rapid erosion of the Mekong River delta to human activities,” Sci. Rep. 5(1), 14745 (2015).
[Crossref]

B. A. Franz, S. W. Bailey, N. Kuring, and P. J. Werdell, “Ocean color measurements with the Operational Land Imager on Landsat-8: implementation and evaluation in seaDAS,” J. Appl. Remote. Sens. 9(1), 096070 (2015).
[Crossref]

2014 (2)

H. Loisel, A. Magin, V. Vantrepotte, D. Dessailly, D. D. Ngoc, P. Garnesson, S. Ouillon, J.-P. Lefebvre, X. Mériaux, and T. M. Phan, “Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade,” Remote Sens. Environ. 150, 218–230 (2014).
[Crossref]

Q. Vanhellemont and K. Ruddick, “Turbid wakes associated with offshore wind turbines observed with Landsat 8,” Remote Sens. Environ. 145, 105–115 (2014).
[Crossref]

2013 (1)

2012 (3)

M. Wang, W. Shi, and L. Jiang, “Atmospheric correction using near-infrared bands for satellite ocean color data processing in the turbid western Pacific region,” Opt. Express 20(2), 741–753 (2012).
[Crossref]

J. H. Ahn, Y. J. Park, J. H. Ryu, and B. Lee, “Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI),” Ocean Sci. J. 47(3), 247–259 (2012).
[Crossref]

J. Brajarda, R. Santera, M. Créponb, and S. Thiria, “Atmospheric correction of MERIS data for case-2 waters using a neuro-variational inversion,” Remote Sens. Environ. 126, 51–61 (2012).
[Crossref]

2011 (2)

F. Steinmetz, P.-Y. Deschamps, and D. Ramon, “Atmospheric correction in presence of sun glint: Application to MERIS,” Opt. Express 19(10), 9783–9800 (2011).
[Crossref]

V. Vantrepotte, H. Loisel, X. Mériaux, G. Neukermans, D. Dessailly, C. Jamet, E. Gensac, and A. Gardel, “Seasonal and inter-annual (2002-2010) variability of the suspended particulate matter as retrieved from satellite ocean color sensor over the French Guiana coastal waters,” J. Coast. Res. 64, 1750–1754 (2011).

2010 (2)

B. Nechad, K. G. Ruddick, and Y. Park, “Calibration and validation of a generic multisensor algorithm for mapping of total suspended matter in turbid waters,” Remote Sensing of Environment. 114(4), 854–866 (2010).
[Crossref]

S. W. Bailey, B. A. Franz, and P. J. Werdell, “Estimation of near-infrared water-leaving reflectance for satellite ocean color data processing,” Opt. Express 18(7), 7521–7527 (2010).
[Crossref]

2009 (4)

S. Kay, J. D. Hedley, and S. Lavender, “Sun glint correction of high and low spatial resolution images of aquatic scenes: a review of methods for visible and near-infrared wavelengths,” Remote Sens. 1(4), 697–730 (2009).
[Crossref]

H. Loisel, X. Mériaux, A. Poteau, L. F. Artigas, B. Lubac, A. Gardel, J. Caillaud, and S. Lesourd, “Analyze of the inherent optical properties of French Guiana coastal waters for remote sensing applications,” J. Coast. Res. 56, 1532–1536 (2009).

G. Zibordi, J.-F. Berthon, F. Mélin, D. D’Alimonte, and S. Kaitala, “Validation of satellite ocean color primary products at optically complex coastal sites: Northern Adriatic Sea, Northern Baltic Proper and Gulf of Finland,” Remote Sens. Environ. 113(12), 2574–2591 (2009).
[Crossref]

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

2007 (3)

B. Lubac and H. Loisel, “Variability and classification of remote sensing reflectance spectra in the eastern English Channel and southern North Sea,” Remote Sens. Environ. 110(1), 45–58 (2007).
[Crossref]

T. Schroeder, I. Behnert, M. Schaale, J. Fischer, and R. Doerffer, “Atmospheric correction algorithm for MERIS above case-2 waters,” Int. J. Remote Sens. 28(7), 1469–1486 (2007).
[Crossref]

M. Wang and W. Shi, “The NIR-SWIR combined atmospheric correction approach for MODIS ocean color data processing,” Opt. Express 15(24), 15722–15733 (2007).
[Crossref]

2006 (2)

G. Zibordi, F. Mélin, and J.-F. Berthon, “A time-series of above-water radiometric measurements for coastal water monitoring and remote sensing product validation,” IEEE Geos. and Remote Sens. Lett. 3(1), 120–124 (2006).
[Crossref]

D. Doxaran, P. Castaing, and S. J. Lavender, “Monitoring the maximum turbidity zone and detecting fine-scale turbidity features in the Gironde estuary using high spatial resolution satellite sensor (SPOT HRV, Landsat ETM+) data,” Int. J. Remote Sens. 27(11), 2303–2321 (2006).
[Crossref]

2003 (1)

G. Thuillier, M. Hersé, D. Labs, T. Foujols, W. Peetermans, D. Gillotay, P. C. Simon, and H. Mandel, “The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions,” Sol. Phys. 214(1), 1–22 (2003).
[Crossref]

2000 (1)

1997 (1)

H. Gordon, “Atmospheric correction of ocean color imagery in the earth observing system era,” J. Geophys. Res. Atmos. 102(D14), 17081–17106 (1997).
[Crossref]

1996 (1)

R. Frouin, M. Schwindling, and P.-Y. Deschamps, “Spectral reflectance of sea foam in the visible and near-infrared: In situ measurements and remote sensing implications,” J. Geophys. Res. 101(C6), 14361–14371 (1996).
[Crossref]

1994 (1)

1988 (1)

P. S. Chavez, “An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data,” Remote Sens. Environ. 24(3), 459–479 (1988).
[Crossref]

1984 (1)

1954 (1)

Adriaensen, S.

L. De Keukelaere, S. Sterckx, S. Adriaensen, E. Knaeps, I. Reusen, C. Giardino, M. Bresciani, P. Hunter, C. Neil, D. Van der Zande, and D. Vaiciute, “Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters,” Eur. J. Remote. Sens. 51(1), 525–542 (2018).
[Crossref]

Ahmad, Z.

C. D. Mobley, J. Werdell, B. Franz, Z. Ahmad, and S. Bailey, “Atmospheric correction for satellite ocean color radiometry,” A Tutorial and Documentation of the Algorithms Used by the NASA Ocean Biology Processing Group (2016).

Ahn, J. H.

J. H. Ahn, Y. J. Park, W. Kim, B. Lee, and I. S. Oh, “Vicarious calibration of the geostationary ocean color imager,” Opt. Express 23(18), 23236–3258 (2015).
[Crossref]

J. H. Ahn, Y. J. Park, J. H. Ryu, and B. Lee, “Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI),” Ocean Sci. J. 47(3), 247–259 (2012).
[Crossref]

Almar, R.

L. P. Melo de Almeida, R. Almar, B. Meyssignac, and N. T. Viet, “Contributions to coastal flooding events in southeast of Vietnam and their link with global mean sea level rise,” Geosciences (Basel, Switz.) 8(12), 437 (2018).
[Crossref]

P. Marchesiello, N. M. Nguyen, N. Gratiot, H. Loisel, E. J. Anthony, D. C. San, T. Nguyen, R. Almar, and E. Kestenare, “Erosion of the coastal Mekong delta: Assessing natural against man induced processes,” Cont. Shelf Res. (2019), https://doi.org/10.1016/j.csr.2019.05.004 .

Anstee, J.

L. Lymburner, E. Botha, E. Hestir, J. Anstee, S. Sagar, A. Dekker, and T. Malthus, “Landsat 8: providing continuity and increased precision for measuring multi-decadal time series of total suspended matter,” Remote Sens. Environ. 185, 108–118 (2016).
[Crossref]

Anthony, E. J.

E. J. Anthony, G. Brunier, M. Besset, M. Goichot, P. Dussouillez, and V. L. Nguyen, “Linking rapid erosion of the Mekong River delta to human activities,” Sci. Rep. 5(1), 14745 (2015).
[Crossref]

P. Marchesiello, N. M. Nguyen, N. Gratiot, H. Loisel, E. J. Anthony, D. C. San, T. Nguyen, R. Almar, and E. Kestenare, “Erosion of the coastal Mekong delta: Assessing natural against man induced processes,” Cont. Shelf Res. (2019), https://doi.org/10.1016/j.csr.2019.05.004 .

Armstrong, R. A.

J. Wei, Z. Lee, R. Garcia, L. Zoffoli, R. A. Armstrong, Z. Shang, P. Sheldon, and R. F. Chen, “An assessment of Landsat-8 atmospheric correction schemes and remote sensing reflectance products in coral reefs and coastal turbid waters,” Remote Sens. Environ. 215, 18–32 (2018).
[Crossref]

Arnoux, J. J.

P. Luquet, A. Chikouche, A. B Benbouzid, J. J. Arnoux, E. Chinal, C Massol, P. Rouchit, and S. de Zotti, “NAOMI instrument: a product line of compact & versatile cameras designed for high resolution missions in Earth observation,” Proceedings of the 7th ICSO (2008).

Artigas, L. F.

H. Loisel, X. Mériaux, A. Poteau, L. F. Artigas, B. Lubac, A. Gardel, J. Caillaud, and S. Lesourd, “Analyze of the inherent optical properties of French Guiana coastal waters for remote sensing applications,” J. Coast. Res. 56, 1532–1536 (2009).

Ba, D. T.

P. T. M. Hanh, D. T. Nghi, T. D. Lan, N. V. Quan, D. T. Ba, and P. H. Viet, “The status and distribution of PCBs along the coast of Vietnam,” Environ. Geochem. Health 41(1), 381–390 (2019)..
[Crossref]

Bailey, S.

N. Pahlevan, J. R. Schott, B. A. Franz, G. Zibordi, B. Markham, S. Bailey, C. B. Schaaf, M. Ondrusek, S. Greb, and C. M. Strait, “Landsat 8 remote sensing reflectance (Rrs) products: evaluations, intercomparisons, and enhancements,” Remote Sens. Environ. 190, 289–301 (2017).
[Crossref]

C. D. Mobley, J. Werdell, B. Franz, Z. Ahmad, and S. Bailey, “Atmospheric correction for satellite ocean color radiometry,” A Tutorial and Documentation of the Algorithms Used by the NASA Ocean Biology Processing Group (2016).

Bailey, S. W.

B. A. Franz, S. W. Bailey, N. Kuring, and P. J. Werdell, “Ocean color measurements with the Operational Land Imager on Landsat-8: implementation and evaluation in seaDAS,” J. Appl. Remote. Sens. 9(1), 096070 (2015).
[Crossref]

S. W. Bailey, B. A. Franz, and P. J. Werdell, “Estimation of near-infrared water-leaving reflectance for satellite ocean color data processing,” Opt. Express 18(7), 7521–7527 (2010).
[Crossref]

Barbosa, C.

T. Kutser, G. C. Pascual, C. Barbosa, B. Paavel, R. Ferreira, L. Carvalho, and K. Toming, “Mapping inland water carbon content with Landsat 8 data,” Int. J. Remote Sens. 37(13), 2950–2961 (2016).
[Crossref]

Barbosa, C. C. F.

V. S. Martins, C. C. F. Barbosa, L. A. S. de Carvalho, D. S. F. Jorge, F. L. Lobo, and E. M. L. M. Novo, “Assessment of atmospheric correction methods for Sentinel-2 MSI images applied to Amazon floodplain lakes,” Remote Sens. 9(4), 322 (2017).
[Crossref]

Behnert, I.

T. Schroeder, I. Behnert, M. Schaale, J. Fischer, and R. Doerffer, “Atmospheric correction algorithm for MERIS above case-2 waters,” Int. J. Remote Sens. 28(7), 1469–1486 (2007).
[Crossref]

Benbouzid, A. B

P. Luquet, A. Chikouche, A. B Benbouzid, J. J. Arnoux, E. Chinal, C Massol, P. Rouchit, and S. de Zotti, “NAOMI instrument: a product line of compact & versatile cameras designed for high resolution missions in Earth observation,” Proceedings of the 7th ICSO (2008).

Berthon, J.-F.

G. Zibordi, J.-F. Berthon, F. Mélin, D. D’Alimonte, and S. Kaitala, “Validation of satellite ocean color primary products at optically complex coastal sites: Northern Adriatic Sea, Northern Baltic Proper and Gulf of Finland,” Remote Sens. Environ. 113(12), 2574–2591 (2009).
[Crossref]

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

G. Zibordi, F. Mélin, and J.-F. Berthon, “A time-series of above-water radiometric measurements for coastal water monitoring and remote sensing product validation,” IEEE Geos. and Remote Sens. Lett. 3(1), 120–124 (2006).
[Crossref]

Besset, M.

E. J. Anthony, G. Brunier, M. Besset, M. Goichot, P. Dussouillez, and V. L. Nguyen, “Linking rapid erosion of the Mekong River delta to human activities,” Sci. Rep. 5(1), 14745 (2015).
[Crossref]

Botha, E.

L. Lymburner, E. Botha, E. Hestir, J. Anstee, S. Sagar, A. Dekker, and T. Malthus, “Landsat 8: providing continuity and increased precision for measuring multi-decadal time series of total suspended matter,” Remote Sens. Environ. 185, 108–118 (2016).
[Crossref]

Brajarda, J.

J. Brajarda, R. Santera, M. Créponb, and S. Thiria, “Atmospheric correction of MERIS data for case-2 waters using a neuro-variational inversion,” Remote Sens. Environ. 126, 51–61 (2012).
[Crossref]

Bresciani, M.

L. De Keukelaere, S. Sterckx, S. Adriaensen, E. Knaeps, I. Reusen, C. Giardino, M. Bresciani, P. Hunter, C. Neil, D. Van der Zande, and D. Vaiciute, “Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters,” Eur. J. Remote. Sens. 51(1), 525–542 (2018).
[Crossref]

Brian, A. P.

E. T. Slonecker, K. J. Daniel, and A. P. Brian, “The new Landsat 8 potential for remote sensing of colored dissolved organic matter (CDOM),” Mar. Pollut. Bull. 107(2), 518–527 (2016).
[Crossref]

Brockmann, C.

C. Brockmann, R. Doerffer, M. Peters, K. Stelzer, S. Embacher, and A. Ruescas, “Evolution of the C2RCC neural network for Sentinel 2 and 3 for the retrieval of ocean colour products in normal and extreme optically complex waters,” Proceedings of Living Planet Symposium (2016).

Brunier, G.

E. J. Anthony, G. Brunier, M. Besset, M. Goichot, P. Dussouillez, and V. L. Nguyen, “Linking rapid erosion of the Mekong River delta to human activities,” Sci. Rep. 5(1), 14745 (2015).
[Crossref]

Bryère, P.

B. Han, H. Loisel, V. Vantrepotte, X. Mériaux, P. Bryère, S. Ouillon, D. Dessailly, Q. Xing, and J. Zhu, “Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters,” Remote Sens. 8(3), 211 (2016).
[Crossref]

Bubak, I.

J. A. Urbanski, A. Wochna, I. Bubak, W. Grzybowski, K. Lukawska-Matuszewska, M. Łącka, S. Śliwińska, B. Wojtasiewicz, and M. Zajączkowski, “Application of Landsat 8 imagery to regional-scale assessment of lake water quality,” ITC J. 51, 28–36 (2016).
[Crossref]

Caillaud, J.

H. Loisel, X. Mériaux, A. Poteau, L. F. Artigas, B. Lubac, A. Gardel, J. Caillaud, and S. Lesourd, “Analyze of the inherent optical properties of French Guiana coastal waters for remote sensing applications,” J. Coast. Res. 56, 1532–1536 (2009).

Carvalho, L.

T. Kutser, G. C. Pascual, C. Barbosa, B. Paavel, R. Ferreira, L. Carvalho, and K. Toming, “Mapping inland water carbon content with Landsat 8 data,” Int. J. Remote Sens. 37(13), 2950–2961 (2016).
[Crossref]

Castaing, P.

D. Doxaran, P. Castaing, and S. J. Lavender, “Monitoring the maximum turbidity zone and detecting fine-scale turbidity features in the Gironde estuary using high spatial resolution satellite sensor (SPOT HRV, Landsat ETM+) data,” Int. J. Remote Sens. 27(11), 2303–2321 (2006).
[Crossref]

Chami, M.

Chavez, P. S.

P. S. Chavez, “An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data,” Remote Sens. Environ. 24(3), 459–479 (1988).
[Crossref]

Chen, R. F.

J. Wei, Z. Lee, R. Garcia, L. Zoffoli, R. A. Armstrong, Z. Shang, P. Sheldon, and R. F. Chen, “An assessment of Landsat-8 atmospheric correction schemes and remote sensing reflectance products in coral reefs and coastal turbid waters,” Remote Sens. Environ. 215, 18–32 (2018).
[Crossref]

Chikouche, A.

P. Luquet, A. Chikouche, A. B Benbouzid, J. J. Arnoux, E. Chinal, C Massol, P. Rouchit, and S. de Zotti, “NAOMI instrument: a product line of compact & versatile cameras designed for high resolution missions in Earth observation,” Proceedings of the 7th ICSO (2008).

Chinal, E.

P. Luquet, A. Chikouche, A. B Benbouzid, J. J. Arnoux, E. Chinal, C Massol, P. Rouchit, and S. de Zotti, “NAOMI instrument: a product line of compact & versatile cameras designed for high resolution missions in Earth observation,” Proceedings of the 7th ICSO (2008).

Chowdhary, J.

Concha, J. A.

J. A. Concha and J. R. Schott, “Retrieval of color producing agents in Case 2 waters using Landsat 8,” Remote Sens. Environ. 185, 95–107 (2016).
[Crossref]

Cox, C.

Créponb, M.

J. Brajarda, R. Santera, M. Créponb, and S. Thiria, “Atmospheric correction of MERIS data for case-2 waters using a neuro-variational inversion,” Remote Sens. Environ. 126, 51–61 (2012).
[Crossref]

D’Alimonte, D.

G. Zibordi, J.-F. Berthon, F. Mélin, D. D’Alimonte, and S. Kaitala, “Validation of satellite ocean color primary products at optically complex coastal sites: Northern Adriatic Sea, Northern Baltic Proper and Gulf of Finland,” Remote Sens. Environ. 113(12), 2574–2591 (2009).
[Crossref]

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

Daniel, K. J.

E. T. Slonecker, K. J. Daniel, and A. P. Brian, “The new Landsat 8 potential for remote sensing of colored dissolved organic matter (CDOM),” Mar. Pollut. Bull. 107(2), 518–527 (2016).
[Crossref]

de Carvalho, L. A. S.

V. S. Martins, C. C. F. Barbosa, L. A. S. de Carvalho, D. S. F. Jorge, F. L. Lobo, and E. M. L. M. Novo, “Assessment of atmospheric correction methods for Sentinel-2 MSI images applied to Amazon floodplain lakes,” Remote Sens. 9(4), 322 (2017).
[Crossref]

De Keukelaere, L.

L. De Keukelaere, S. Sterckx, S. Adriaensen, E. Knaeps, I. Reusen, C. Giardino, M. Bresciani, P. Hunter, C. Neil, D. Van der Zande, and D. Vaiciute, “Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters,” Eur. J. Remote. Sens. 51(1), 525–542 (2018).
[Crossref]

de Zotti, S.

P. Luquet, A. Chikouche, A. B Benbouzid, J. J. Arnoux, E. Chinal, C Massol, P. Rouchit, and S. de Zotti, “NAOMI instrument: a product line of compact & versatile cameras designed for high resolution missions in Earth observation,” Proceedings of the 7th ICSO (2008).

Debaecker, V.

M. Main-Knorn, B. Pflug, J. Louis, V. Debaecker, U. Müller-Wilm, and F. Gascon, “Sen2Cor for Sentinel-2,” Proceedings Volume 10427, Image and Signal Processing for Remote Sensing XXIII (2017).

Dekker, A.

L. Lymburner, E. Botha, E. Hestir, J. Anstee, S. Sagar, A. Dekker, and T. Malthus, “Landsat 8: providing continuity and increased precision for measuring multi-decadal time series of total suspended matter,” Remote Sens. Environ. 185, 108–118 (2016).
[Crossref]

Deschamps, P.-Y.

F. Steinmetz, P.-Y. Deschamps, and D. Ramon, “Atmospheric correction in presence of sun glint: Application to MERIS,” Opt. Express 19(10), 9783–9800 (2011).
[Crossref]

R. Frouin, M. Schwindling, and P.-Y. Deschamps, “Spectral reflectance of sea foam in the visible and near-infrared: In situ measurements and remote sensing implications,” J. Geophys. Res. 101(C6), 14361–14371 (1996).
[Crossref]

J.-M. Nicolas, P.-Y. Deschamps, H. Loisel, and C. Moulin, “ATBD, Atmospheric correction algorithms, POLDER2 Ocean Color,” https://polder-mission.cnes.fr/en/POLDER/SCIEPROD/oc_calib.htm (2005).

Dessailly, D.

H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
[Crossref]

B. Han, H. Loisel, V. Vantrepotte, X. Mériaux, P. Bryère, S. Ouillon, D. Dessailly, Q. Xing, and J. Zhu, “Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters,” Remote Sens. 8(3), 211 (2016).
[Crossref]

H. Loisel, A. Magin, V. Vantrepotte, D. Dessailly, D. D. Ngoc, P. Garnesson, S. Ouillon, J.-P. Lefebvre, X. Mériaux, and T. M. Phan, “Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade,” Remote Sens. Environ. 150, 218–230 (2014).
[Crossref]

V. Vantrepotte, H. Loisel, X. Mériaux, G. Neukermans, D. Dessailly, C. Jamet, E. Gensac, and A. Gardel, “Seasonal and inter-annual (2002-2010) variability of the suspended particulate matter as retrieved from satellite ocean color sensor over the French Guiana coastal waters,” J. Coast. Res. 64, 1750–1754 (2011).

Doerffer, R.

T. Schroeder, I. Behnert, M. Schaale, J. Fischer, and R. Doerffer, “Atmospheric correction algorithm for MERIS above case-2 waters,” Int. J. Remote Sens. 28(7), 1469–1486 (2007).
[Crossref]

C. Brockmann, R. Doerffer, M. Peters, K. Stelzer, S. Embacher, and A. Ruescas, “Evolution of the C2RCC neural network for Sentinel 2 and 3 for the retrieval of ocean colour products in normal and extreme optically complex waters,” Proceedings of Living Planet Symposium (2016).

Doxaran, D.

S. Novoa, D. Doxaran, A. Ody, Q. Vanhellemont, V. Lafon, B. Lubac, and P. Gernez, “Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters,” Remote Sens. 9(1), 61 (2017).
[Crossref]

D. Doxaran, P. Castaing, and S. J. Lavender, “Monitoring the maximum turbidity zone and detecting fine-scale turbidity features in the Gironde estuary using high spatial resolution satellite sensor (SPOT HRV, Landsat ETM+) data,” Int. J. Remote Sens. 27(11), 2303–2321 (2006).
[Crossref]

Duforêt-Gaurier, L.

D. D. Ngoc, H. Loisel, C. Jamet, V. Vantrepotte, L. Duforêt-Gaurier, C. D. Minh, and A. Mangin, “Coastal and inland water pixels extraction algorithm (WiPE) from spectral shape analysis and HSV transformation applied to Landsat 8 OLI and Sentinel-2 MSI,” Remote Sens. Environ. 223, 208–228 (2019).
[Crossref]

Duhaut, T.

H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
[Crossref]

Dussouillez, P.

E. J. Anthony, G. Brunier, M. Besset, M. Goichot, P. Dussouillez, and V. L. Nguyen, “Linking rapid erosion of the Mekong River delta to human activities,” Sci. Rep. 5(1), 14745 (2015).
[Crossref]

Embacher, S.

C. Brockmann, R. Doerffer, M. Peters, K. Stelzer, S. Embacher, and A. Ruescas, “Evolution of the C2RCC neural network for Sentinel 2 and 3 for the retrieval of ocean colour products in normal and extreme optically complex waters,” Proceedings of Living Planet Symposium (2016).

Fabbri, B. E.

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

Feng, H.

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

Fenn, R.W.

E.P Shettle and R.W. Fenn, “Models for the aerosols of the lower atmosphere and the effects of humidity variations on their optical properties”, Report No. AFGL-TR-79-0214, Environmental Research Papers No.676, Bedford, MA: AF Geophysics Laboratory (1979).

Ferreira, R.

T. Kutser, G. C. Pascual, C. Barbosa, B. Paavel, R. Ferreira, L. Carvalho, and K. Toming, “Mapping inland water carbon content with Landsat 8 data,” Int. J. Remote Sens. 37(13), 2950–2961 (2016).
[Crossref]

Fischer, J.

T. Schroeder, I. Behnert, M. Schaale, J. Fischer, and R. Doerffer, “Atmospheric correction algorithm for MERIS above case-2 waters,” Int. J. Remote Sens. 28(7), 1469–1486 (2007).
[Crossref]

Fougnie, B.

Foujols, T.

G. Thuillier, M. Hersé, D. Labs, T. Foujols, W. Peetermans, D. Gillotay, P. C. Simon, and H. Mandel, “The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions,” Sol. Phys. 214(1), 1–22 (2003).
[Crossref]

Franz, B.

C. D. Mobley, J. Werdell, B. Franz, Z. Ahmad, and S. Bailey, “Atmospheric correction for satellite ocean color radiometry,” A Tutorial and Documentation of the Algorithms Used by the NASA Ocean Biology Processing Group (2016).

Franz, B. A.

N. Pahlevan, J. R. Schott, B. A. Franz, G. Zibordi, B. Markham, S. Bailey, C. B. Schaaf, M. Ondrusek, S. Greb, and C. M. Strait, “Landsat 8 remote sensing reflectance (Rrs) products: evaluations, intercomparisons, and enhancements,” Remote Sens. Environ. 190, 289–301 (2017).
[Crossref]

B. A. Franz, S. W. Bailey, N. Kuring, and P. J. Werdell, “Ocean color measurements with the Operational Land Imager on Landsat-8: implementation and evaluation in seaDAS,” J. Appl. Remote. Sens. 9(1), 096070 (2015).
[Crossref]

S. W. Bailey, B. A. Franz, and P. J. Werdell, “Estimation of near-infrared water-leaving reflectance for satellite ocean color data processing,” Opt. Express 18(7), 7521–7527 (2010).
[Crossref]

Frouin, R.

R. Frouin, M. Schwindling, and P.-Y. Deschamps, “Spectral reflectance of sea foam in the visible and near-infrared: In situ measurements and remote sensing implications,” J. Geophys. Res. 101(C6), 14361–14371 (1996).
[Crossref]

Garcia, R.

J. Wei, Z. Lee, R. Garcia, L. Zoffoli, R. A. Armstrong, Z. Shang, P. Sheldon, and R. F. Chen, “An assessment of Landsat-8 atmospheric correction schemes and remote sensing reflectance products in coral reefs and coastal turbid waters,” Remote Sens. Environ. 215, 18–32 (2018).
[Crossref]

Gardel, A.

V. Vantrepotte, H. Loisel, X. Mériaux, G. Neukermans, D. Dessailly, C. Jamet, E. Gensac, and A. Gardel, “Seasonal and inter-annual (2002-2010) variability of the suspended particulate matter as retrieved from satellite ocean color sensor over the French Guiana coastal waters,” J. Coast. Res. 64, 1750–1754 (2011).

H. Loisel, X. Mériaux, A. Poteau, L. F. Artigas, B. Lubac, A. Gardel, J. Caillaud, and S. Lesourd, “Analyze of the inherent optical properties of French Guiana coastal waters for remote sensing applications,” J. Coast. Res. 56, 1532–1536 (2009).

Garnesson, P.

H. Loisel, A. Magin, V. Vantrepotte, D. Dessailly, D. D. Ngoc, P. Garnesson, S. Ouillon, J.-P. Lefebvre, X. Mériaux, and T. M. Phan, “Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade,” Remote Sens. Environ. 150, 218–230 (2014).
[Crossref]

Gascon, F.

M. Main-Knorn, B. Pflug, J. Louis, V. Debaecker, U. Müller-Wilm, and F. Gascon, “Sen2Cor for Sentinel-2,” Proceedings Volume 10427, Image and Signal Processing for Remote Sensing XXIII (2017).

Gensac, E.

V. Vantrepotte, H. Loisel, X. Mériaux, G. Neukermans, D. Dessailly, C. Jamet, E. Gensac, and A. Gardel, “Seasonal and inter-annual (2002-2010) variability of the suspended particulate matter as retrieved from satellite ocean color sensor over the French Guiana coastal waters,” J. Coast. Res. 64, 1750–1754 (2011).

Gernez, P.

S. Novoa, D. Doxaran, A. Ody, Q. Vanhellemont, V. Lafon, B. Lubac, and P. Gernez, “Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters,” Remote Sens. 9(1), 61 (2017).
[Crossref]

Giardino, C.

L. De Keukelaere, S. Sterckx, S. Adriaensen, E. Knaeps, I. Reusen, C. Giardino, M. Bresciani, P. Hunter, C. Neil, D. Van der Zande, and D. Vaiciute, “Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters,” Eur. J. Remote. Sens. 51(1), 525–542 (2018).
[Crossref]

Giles, D.

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

Gillotay, D.

G. Thuillier, M. Hersé, D. Labs, T. Foujols, W. Peetermans, D. Gillotay, P. C. Simon, and H. Mandel, “The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions,” Sol. Phys. 214(1), 1–22 (2003).
[Crossref]

Goichot, M.

E. J. Anthony, G. Brunier, M. Besset, M. Goichot, P. Dussouillez, and V. L. Nguyen, “Linking rapid erosion of the Mekong River delta to human activities,” Sci. Rep. 5(1), 14745 (2015).
[Crossref]

Gordon, H.

H. Gordon, “Atmospheric correction of ocean color imagery in the earth observing system era,” J. Geophys. Res. Atmos. 102(D14), 17081–17106 (1997).
[Crossref]

Gordon, H. R.

Goyens, C.

Gratiot, N.

P. Marchesiello, N. M. Nguyen, N. Gratiot, H. Loisel, E. J. Anthony, D. C. San, T. Nguyen, R. Almar, and E. Kestenare, “Erosion of the coastal Mekong delta: Assessing natural against man induced processes,” Cont. Shelf Res. (2019), https://doi.org/10.1016/j.csr.2019.05.004 .

Greb, S.

N. Pahlevan, J. R. Schott, B. A. Franz, G. Zibordi, B. Markham, S. Bailey, C. B. Schaaf, M. Ondrusek, S. Greb, and C. M. Strait, “Landsat 8 remote sensing reflectance (Rrs) products: evaluations, intercomparisons, and enhancements,” Remote Sens. Environ. 190, 289–301 (2017).
[Crossref]

Grzybowski, W.

J. A. Urbanski, A. Wochna, I. Bubak, W. Grzybowski, K. Lukawska-Matuszewska, M. Łącka, S. Śliwińska, B. Wojtasiewicz, and M. Zajączkowski, “Application of Landsat 8 imagery to regional-scale assessment of lake water quality,” ITC J. 51, 28–36 (2016).
[Crossref]

Guo, Y.

Y. Li, Y. Zhang, K. Shi, Y. Zhou, Y. Zhang, X. Liu, and Y. Guo, “Spatiotemporal dynamics of chlorophyll-a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors,” Environ. Sci. Pollut. Res. 25(2), 1359–1374 (2018).
[Crossref]

Han, B.

B. Han, H. Loisel, V. Vantrepotte, X. Mériaux, P. Bryère, S. Ouillon, D. Dessailly, Q. Xing, and J. Zhu, “Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters,” Remote Sens. 8(3), 211 (2016).
[Crossref]

Hanh, P. T. M.

P. T. M. Hanh, D. T. Nghi, T. D. Lan, N. V. Quan, D. T. Ba, and P. H. Viet, “The status and distribution of PCBs along the coast of Vietnam,” Environ. Geochem. Health 41(1), 381–390 (2019)..
[Crossref]

Harmel, T.

Hedley, J. D.

S. Kay, J. D. Hedley, and S. Lavender, “Sun glint correction of high and low spatial resolution images of aquatic scenes: a review of methods for visible and near-infrared wavelengths,” Remote Sens. 1(4), 697–730 (2009).
[Crossref]

Herrmann, M.

H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
[Crossref]

Hersé, M.

G. Thuillier, M. Hersé, D. Labs, T. Foujols, W. Peetermans, D. Gillotay, P. C. Simon, and H. Mandel, “The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions,” Sol. Phys. 214(1), 1–22 (2003).
[Crossref]

Hestir, E.

L. Lymburner, E. Botha, E. Hestir, J. Anstee, S. Sagar, A. Dekker, and T. Malthus, “Landsat 8: providing continuity and increased precision for measuring multi-decadal time series of total suspended matter,” Remote Sens. Environ. 185, 108–118 (2016).
[Crossref]

Holben, B.

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

Hunter, P.

L. De Keukelaere, S. Sterckx, S. Adriaensen, E. Knaeps, I. Reusen, C. Giardino, M. Bresciani, P. Hunter, C. Neil, D. Van der Zande, and D. Vaiciute, “Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters,” Eur. J. Remote. Sens. 51(1), 525–542 (2018).
[Crossref]

Ilori, C. O.

C. O. Ilori, N. Pahlevan, and A. Knudby, “Analyzing performances of different atmospheric correction techniques for Landsat 8: application for coastal remote sensing,” Remote Sens. 11(4), 469 (2019).
[Crossref]

Jamet, C.

D. D. Ngoc, H. Loisel, C. Jamet, V. Vantrepotte, L. Duforêt-Gaurier, C. D. Minh, and A. Mangin, “Coastal and inland water pixels extraction algorithm (WiPE) from spectral shape analysis and HSV transformation applied to Landsat 8 OLI and Sentinel-2 MSI,” Remote Sens. Environ. 223, 208–228 (2019).
[Crossref]

H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
[Crossref]

C. Goyens, C. Jamet, and K. G. Ruddick, “Spectral relationships for atmospheric correction. I. Validation of red and near infra-red marine reflectance relationships,” Opt. Express 21(18), 21162–21175 (2013).
[Crossref]

V. Vantrepotte, H. Loisel, X. Mériaux, G. Neukermans, D. Dessailly, C. Jamet, E. Gensac, and A. Gardel, “Seasonal and inter-annual (2002-2010) variability of the suspended particulate matter as retrieved from satellite ocean color sensor over the French Guiana coastal waters,” J. Coast. Res. 64, 1750–1754 (2011).

Jarva, J.

P. Schmidt-Thomé, T. H. Nguyen, T. L. Pham, J. Jarva, and K. Nuottimäki, “Climate change adaptation measures in Vietnam,” SpringerBriefs in Earth Scien. (2015).

Jiang, L.

Jorge, D. S. F.

V. S. Martins, C. C. F. Barbosa, L. A. S. de Carvalho, D. S. F. Jorge, F. L. Lobo, and E. M. L. M. Novo, “Assessment of atmospheric correction methods for Sentinel-2 MSI images applied to Amazon floodplain lakes,” Remote Sens. 9(4), 322 (2017).
[Crossref]

Kaitala, S.

G. Zibordi, J.-F. Berthon, F. Mélin, D. D’Alimonte, and S. Kaitala, “Validation of satellite ocean color primary products at optically complex coastal sites: Northern Adriatic Sea, Northern Baltic Proper and Gulf of Finland,” Remote Sens. Environ. 113(12), 2574–2591 (2009).
[Crossref]

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

Kay, S.

S. Kay, J. D. Hedley, and S. Lavender, “Sun glint correction of high and low spatial resolution images of aquatic scenes: a review of methods for visible and near-infrared wavelengths,” Remote Sens. 1(4), 697–730 (2009).
[Crossref]

Kestenare, E.

P. Marchesiello, N. M. Nguyen, N. Gratiot, H. Loisel, E. J. Anthony, D. C. San, T. Nguyen, R. Almar, and E. Kestenare, “Erosion of the coastal Mekong delta: Assessing natural against man induced processes,” Cont. Shelf Res. (2019), https://doi.org/10.1016/j.csr.2019.05.004 .

Kim, W.

Knaeps, E.

L. De Keukelaere, S. Sterckx, S. Adriaensen, E. Knaeps, I. Reusen, C. Giardino, M. Bresciani, P. Hunter, C. Neil, D. Van der Zande, and D. Vaiciute, “Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters,” Eur. J. Remote. Sens. 51(1), 525–542 (2018).
[Crossref]

Knudby, A.

C. O. Ilori, N. Pahlevan, and A. Knudby, “Analyzing performances of different atmospheric correction techniques for Landsat 8: application for coastal remote sensing,” Remote Sens. 11(4), 469 (2019).
[Crossref]

Koepke, P.

Kuring, N.

B. A. Franz, S. W. Bailey, N. Kuring, and P. J. Werdell, “Ocean color measurements with the Operational Land Imager on Landsat-8: implementation and evaluation in seaDAS,” J. Appl. Remote. Sens. 9(1), 096070 (2015).
[Crossref]

Kutser, T.

T. Kutser, G. C. Pascual, C. Barbosa, B. Paavel, R. Ferreira, L. Carvalho, and K. Toming, “Mapping inland water carbon content with Landsat 8 data,” Int. J. Remote Sens. 37(13), 2950–2961 (2016).
[Crossref]

Labs, D.

G. Thuillier, M. Hersé, D. Labs, T. Foujols, W. Peetermans, D. Gillotay, P. C. Simon, and H. Mandel, “The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions,” Sol. Phys. 214(1), 1–22 (2003).
[Crossref]

Lacka, M.

J. A. Urbanski, A. Wochna, I. Bubak, W. Grzybowski, K. Lukawska-Matuszewska, M. Łącka, S. Śliwińska, B. Wojtasiewicz, and M. Zajączkowski, “Application of Landsat 8 imagery to regional-scale assessment of lake water quality,” ITC J. 51, 28–36 (2016).
[Crossref]

Lafon, V.

S. Novoa, D. Doxaran, A. Ody, Q. Vanhellemont, V. Lafon, B. Lubac, and P. Gernez, “Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters,” Remote Sens. 9(1), 61 (2017).
[Crossref]

Lafrance, B.

Lan, T. D.

P. T. M. Hanh, D. T. Nghi, T. D. Lan, N. V. Quan, D. T. Ba, and P. H. Viet, “The status and distribution of PCBs along the coast of Vietnam,” Environ. Geochem. Health 41(1), 381–390 (2019)..
[Crossref]

Lavender, S.

S. Kay, J. D. Hedley, and S. Lavender, “Sun glint correction of high and low spatial resolution images of aquatic scenes: a review of methods for visible and near-infrared wavelengths,” Remote Sens. 1(4), 697–730 (2009).
[Crossref]

Lavender, S. J.

D. Doxaran, P. Castaing, and S. J. Lavender, “Monitoring the maximum turbidity zone and detecting fine-scale turbidity features in the Gironde estuary using high spatial resolution satellite sensor (SPOT HRV, Landsat ETM+) data,” Int. J. Remote Sens. 27(11), 2303–2321 (2006).
[Crossref]

Lee, B.

J. H. Ahn, Y. J. Park, W. Kim, B. Lee, and I. S. Oh, “Vicarious calibration of the geostationary ocean color imager,” Opt. Express 23(18), 23236–3258 (2015).
[Crossref]

J. H. Ahn, Y. J. Park, J. H. Ryu, and B. Lee, “Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI),” Ocean Sci. J. 47(3), 247–259 (2012).
[Crossref]

Lee, Z.

J. Wei, Z. Lee, R. Garcia, L. Zoffoli, R. A. Armstrong, Z. Shang, P. Sheldon, and R. F. Chen, “An assessment of Landsat-8 atmospheric correction schemes and remote sensing reflectance products in coral reefs and coastal turbid waters,” Remote Sens. Environ. 215, 18–32 (2018).
[Crossref]

Z. Lee, S. Shang, L. Qi, J. Yan, and G. Lin, “A semi-analytical scheme to estimate Secchi-disk depth from Landsat-8 measurements,” Remote Sens. Environ. 177, 101–106 (2016).
[Crossref]

Lefebvre, J.-P.

H. Loisel, A. Magin, V. Vantrepotte, D. Dessailly, D. D. Ngoc, P. Garnesson, S. Ouillon, J.-P. Lefebvre, X. Mériaux, and T. M. Phan, “Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade,” Remote Sens. Environ. 150, 218–230 (2014).
[Crossref]

Lesourd, S.

H. Loisel, X. Mériaux, A. Poteau, L. F. Artigas, B. Lubac, A. Gardel, J. Caillaud, and S. Lesourd, “Analyze of the inherent optical properties of French Guiana coastal waters for remote sensing applications,” J. Coast. Res. 56, 1532–1536 (2009).

Li, J.

J. Li and D. P. Roy, “A global analysis of Sentinel-2A, Sentinel-2B and Landsat-8 data revisit intervals and implications for terrestrial monitoring,” Remote Sens. 9(9), 902 (2017).
[Crossref]

Li, Y.

Y. Li, Y. Zhang, K. Shi, Y. Zhou, Y. Zhang, X. Liu, and Y. Guo, “Spatiotemporal dynamics of chlorophyll-a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors,” Environ. Sci. Pollut. Res. 25(2), 1359–1374 (2018).
[Crossref]

Lin, G.

Z. Lee, S. Shang, L. Qi, J. Yan, and G. Lin, “A semi-analytical scheme to estimate Secchi-disk depth from Landsat-8 measurements,” Remote Sens. Environ. 177, 101–106 (2016).
[Crossref]

Liu, X.

Y. Li, Y. Zhang, K. Shi, Y. Zhou, Y. Zhang, X. Liu, and Y. Guo, “Spatiotemporal dynamics of chlorophyll-a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors,” Environ. Sci. Pollut. Res. 25(2), 1359–1374 (2018).
[Crossref]

Lobo, F. L.

V. S. Martins, C. C. F. Barbosa, L. A. S. de Carvalho, D. S. F. Jorge, F. L. Lobo, and E. M. L. M. Novo, “Assessment of atmospheric correction methods for Sentinel-2 MSI images applied to Amazon floodplain lakes,” Remote Sens. 9(4), 322 (2017).
[Crossref]

Loisel, H.

D. D. Ngoc, H. Loisel, C. Jamet, V. Vantrepotte, L. Duforêt-Gaurier, C. D. Minh, and A. Mangin, “Coastal and inland water pixels extraction algorithm (WiPE) from spectral shape analysis and HSV transformation applied to Landsat 8 OLI and Sentinel-2 MSI,” Remote Sens. Environ. 223, 208–228 (2019).
[Crossref]

H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
[Crossref]

B. Han, H. Loisel, V. Vantrepotte, X. Mériaux, P. Bryère, S. Ouillon, D. Dessailly, Q. Xing, and J. Zhu, “Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters,” Remote Sens. 8(3), 211 (2016).
[Crossref]

H. Loisel, A. Magin, V. Vantrepotte, D. Dessailly, D. D. Ngoc, P. Garnesson, S. Ouillon, J.-P. Lefebvre, X. Mériaux, and T. M. Phan, “Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade,” Remote Sens. Environ. 150, 218–230 (2014).
[Crossref]

V. Vantrepotte, H. Loisel, X. Mériaux, G. Neukermans, D. Dessailly, C. Jamet, E. Gensac, and A. Gardel, “Seasonal and inter-annual (2002-2010) variability of the suspended particulate matter as retrieved from satellite ocean color sensor over the French Guiana coastal waters,” J. Coast. Res. 64, 1750–1754 (2011).

H. Loisel, X. Mériaux, A. Poteau, L. F. Artigas, B. Lubac, A. Gardel, J. Caillaud, and S. Lesourd, “Analyze of the inherent optical properties of French Guiana coastal waters for remote sensing applications,” J. Coast. Res. 56, 1532–1536 (2009).

B. Lubac and H. Loisel, “Variability and classification of remote sensing reflectance spectra in the eastern English Channel and southern North Sea,” Remote Sens. Environ. 110(1), 45–58 (2007).
[Crossref]

J.-M. Nicolas, P.-Y. Deschamps, H. Loisel, and C. Moulin, “ATBD, Atmospheric correction algorithms, POLDER2 Ocean Color,” https://polder-mission.cnes.fr/en/POLDER/SCIEPROD/oc_calib.htm (2005).

P. Marchesiello, N. M. Nguyen, N. Gratiot, H. Loisel, E. J. Anthony, D. C. San, T. Nguyen, R. Almar, and E. Kestenare, “Erosion of the coastal Mekong delta: Assessing natural against man induced processes,” Cont. Shelf Res. (2019), https://doi.org/10.1016/j.csr.2019.05.004 .

Louis, J.

M. Main-Knorn, B. Pflug, J. Louis, V. Debaecker, U. Müller-Wilm, and F. Gascon, “Sen2Cor for Sentinel-2,” Proceedings Volume 10427, Image and Signal Processing for Remote Sensing XXIII (2017).

Lubac, B.

S. Novoa, D. Doxaran, A. Ody, Q. Vanhellemont, V. Lafon, B. Lubac, and P. Gernez, “Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters,” Remote Sens. 9(1), 61 (2017).
[Crossref]

H. Loisel, X. Mériaux, A. Poteau, L. F. Artigas, B. Lubac, A. Gardel, J. Caillaud, and S. Lesourd, “Analyze of the inherent optical properties of French Guiana coastal waters for remote sensing applications,” J. Coast. Res. 56, 1532–1536 (2009).

B. Lubac and H. Loisel, “Variability and classification of remote sensing reflectance spectra in the eastern English Channel and southern North Sea,” Remote Sens. Environ. 110(1), 45–58 (2007).
[Crossref]

Lukawska-Matuszewska, K.

J. A. Urbanski, A. Wochna, I. Bubak, W. Grzybowski, K. Lukawska-Matuszewska, M. Łącka, S. Śliwińska, B. Wojtasiewicz, and M. Zajączkowski, “Application of Landsat 8 imagery to regional-scale assessment of lake water quality,” ITC J. 51, 28–36 (2016).
[Crossref]

Luquet, P.

P. Luquet, A. Chikouche, A. B Benbouzid, J. J. Arnoux, E. Chinal, C Massol, P. Rouchit, and S. de Zotti, “NAOMI instrument: a product line of compact & versatile cameras designed for high resolution missions in Earth observation,” Proceedings of the 7th ICSO (2008).

Lymburner, L.

L. Lymburner, E. Botha, E. Hestir, J. Anstee, S. Sagar, A. Dekker, and T. Malthus, “Landsat 8: providing continuity and increased precision for measuring multi-decadal time series of total suspended matter,” Remote Sens. Environ. 185, 108–118 (2016).
[Crossref]

Magin, A.

H. Loisel, A. Magin, V. Vantrepotte, D. Dessailly, D. D. Ngoc, P. Garnesson, S. Ouillon, J.-P. Lefebvre, X. Mériaux, and T. M. Phan, “Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade,” Remote Sens. Environ. 150, 218–230 (2014).
[Crossref]

Main-Knorn, M.

M. Main-Knorn, B. Pflug, J. Louis, V. Debaecker, U. Müller-Wilm, and F. Gascon, “Sen2Cor for Sentinel-2,” Proceedings Volume 10427, Image and Signal Processing for Remote Sensing XXIII (2017).

Malthus, T.

L. Lymburner, E. Botha, E. Hestir, J. Anstee, S. Sagar, A. Dekker, and T. Malthus, “Landsat 8: providing continuity and increased precision for measuring multi-decadal time series of total suspended matter,” Remote Sens. Environ. 185, 108–118 (2016).
[Crossref]

Mandel, H.

G. Thuillier, M. Hersé, D. Labs, T. Foujols, W. Peetermans, D. Gillotay, P. C. Simon, and H. Mandel, “The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions,” Sol. Phys. 214(1), 1–22 (2003).
[Crossref]

Mangin, A.

D. D. Ngoc, H. Loisel, C. Jamet, V. Vantrepotte, L. Duforêt-Gaurier, C. D. Minh, and A. Mangin, “Coastal and inland water pixels extraction algorithm (WiPE) from spectral shape analysis and HSV transformation applied to Landsat 8 OLI and Sentinel-2 MSI,” Remote Sens. Environ. 223, 208–228 (2019).
[Crossref]

Marchesiello, P.

P. Marchesiello, N. M. Nguyen, N. Gratiot, H. Loisel, E. J. Anthony, D. C. San, T. Nguyen, R. Almar, and E. Kestenare, “Erosion of the coastal Mekong delta: Assessing natural against man induced processes,” Cont. Shelf Res. (2019), https://doi.org/10.1016/j.csr.2019.05.004 .

Markham, B.

N. Pahlevan, J. R. Schott, B. A. Franz, G. Zibordi, B. Markham, S. Bailey, C. B. Schaaf, M. Ondrusek, S. Greb, and C. M. Strait, “Landsat 8 remote sensing reflectance (Rrs) products: evaluations, intercomparisons, and enhancements,” Remote Sens. Environ. 190, 289–301 (2017).
[Crossref]

Martins, V. S.

V. S. Martins, C. C. F. Barbosa, L. A. S. de Carvalho, D. S. F. Jorge, F. L. Lobo, and E. M. L. M. Novo, “Assessment of atmospheric correction methods for Sentinel-2 MSI images applied to Amazon floodplain lakes,” Remote Sens. 9(4), 322 (2017).
[Crossref]

Massol, C

P. Luquet, A. Chikouche, A. B Benbouzid, J. J. Arnoux, E. Chinal, C Massol, P. Rouchit, and S. de Zotti, “NAOMI instrument: a product line of compact & versatile cameras designed for high resolution missions in Earth observation,” Proceedings of the 7th ICSO (2008).

Mélin, F.

G. Zibordi, J.-F. Berthon, F. Mélin, D. D’Alimonte, and S. Kaitala, “Validation of satellite ocean color primary products at optically complex coastal sites: Northern Adriatic Sea, Northern Baltic Proper and Gulf of Finland,” Remote Sens. Environ. 113(12), 2574–2591 (2009).
[Crossref]

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

G. Zibordi, F. Mélin, and J.-F. Berthon, “A time-series of above-water radiometric measurements for coastal water monitoring and remote sensing product validation,” IEEE Geos. and Remote Sens. Lett. 3(1), 120–124 (2006).
[Crossref]

Melo de Almeida, L. P.

L. P. Melo de Almeida, R. Almar, B. Meyssignac, and N. T. Viet, “Contributions to coastal flooding events in southeast of Vietnam and their link with global mean sea level rise,” Geosciences (Basel, Switz.) 8(12), 437 (2018).
[Crossref]

Mériaux, X.

H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
[Crossref]

B. Han, H. Loisel, V. Vantrepotte, X. Mériaux, P. Bryère, S. Ouillon, D. Dessailly, Q. Xing, and J. Zhu, “Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters,” Remote Sens. 8(3), 211 (2016).
[Crossref]

H. Loisel, A. Magin, V. Vantrepotte, D. Dessailly, D. D. Ngoc, P. Garnesson, S. Ouillon, J.-P. Lefebvre, X. Mériaux, and T. M. Phan, “Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade,” Remote Sens. Environ. 150, 218–230 (2014).
[Crossref]

V. Vantrepotte, H. Loisel, X. Mériaux, G. Neukermans, D. Dessailly, C. Jamet, E. Gensac, and A. Gardel, “Seasonal and inter-annual (2002-2010) variability of the suspended particulate matter as retrieved from satellite ocean color sensor over the French Guiana coastal waters,” J. Coast. Res. 64, 1750–1754 (2011).

H. Loisel, X. Mériaux, A. Poteau, L. F. Artigas, B. Lubac, A. Gardel, J. Caillaud, and S. Lesourd, “Analyze of the inherent optical properties of French Guiana coastal waters for remote sensing applications,” J. Coast. Res. 56, 1532–1536 (2009).

Meyssignac, B.

L. P. Melo de Almeida, R. Almar, B. Meyssignac, and N. T. Viet, “Contributions to coastal flooding events in southeast of Vietnam and their link with global mean sea level rise,” Geosciences (Basel, Switz.) 8(12), 437 (2018).
[Crossref]

Minh, C. D.

D. D. Ngoc, H. Loisel, C. Jamet, V. Vantrepotte, L. Duforêt-Gaurier, C. D. Minh, and A. Mangin, “Coastal and inland water pixels extraction algorithm (WiPE) from spectral shape analysis and HSV transformation applied to Landsat 8 OLI and Sentinel-2 MSI,” Remote Sens. Environ. 223, 208–228 (2019).
[Crossref]

C. D. Minh, “Space Technology Development of Vietnam in 2011-2012,” Proceedings of APRSAF, 19 (2012).

Mobley, C. D.

C. D. Mobley, J. Werdell, B. Franz, Z. Ahmad, and S. Bailey, “Atmospheric correction for satellite ocean color radiometry,” A Tutorial and Documentation of the Algorithms Used by the NASA Ocean Biology Processing Group (2016).

Moulin, C.

J.-M. Nicolas, P.-Y. Deschamps, H. Loisel, and C. Moulin, “ATBD, Atmospheric correction algorithms, POLDER2 Ocean Color,” https://polder-mission.cnes.fr/en/POLDER/SCIEPROD/oc_calib.htm (2005).

Müller-Wilm, U.

M. Main-Knorn, B. Pflug, J. Louis, V. Debaecker, U. Müller-Wilm, and F. Gascon, “Sen2Cor for Sentinel-2,” Proceedings Volume 10427, Image and Signal Processing for Remote Sensing XXIII (2017).

Munk, W.

Nechad, B.

B. Nechad, K. G. Ruddick, and Y. Park, “Calibration and validation of a generic multisensor algorithm for mapping of total suspended matter in turbid waters,” Remote Sensing of Environment. 114(4), 854–866 (2010).
[Crossref]

Neil, C.

L. De Keukelaere, S. Sterckx, S. Adriaensen, E. Knaeps, I. Reusen, C. Giardino, M. Bresciani, P. Hunter, C. Neil, D. Van der Zande, and D. Vaiciute, “Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters,” Eur. J. Remote. Sens. 51(1), 525–542 (2018).
[Crossref]

Neukermans, G.

V. Vantrepotte, H. Loisel, X. Mériaux, G. Neukermans, D. Dessailly, C. Jamet, E. Gensac, and A. Gardel, “Seasonal and inter-annual (2002-2010) variability of the suspended particulate matter as retrieved from satellite ocean color sensor over the French Guiana coastal waters,” J. Coast. Res. 64, 1750–1754 (2011).

Nghi, D. T.

P. T. M. Hanh, D. T. Nghi, T. D. Lan, N. V. Quan, D. T. Ba, and P. H. Viet, “The status and distribution of PCBs along the coast of Vietnam,” Environ. Geochem. Health 41(1), 381–390 (2019)..
[Crossref]

Ngoc, D. D.

D. D. Ngoc, H. Loisel, C. Jamet, V. Vantrepotte, L. Duforêt-Gaurier, C. D. Minh, and A. Mangin, “Coastal and inland water pixels extraction algorithm (WiPE) from spectral shape analysis and HSV transformation applied to Landsat 8 OLI and Sentinel-2 MSI,” Remote Sens. Environ. 223, 208–228 (2019).
[Crossref]

H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
[Crossref]

H. Loisel, A. Magin, V. Vantrepotte, D. Dessailly, D. D. Ngoc, P. Garnesson, S. Ouillon, J.-P. Lefebvre, X. Mériaux, and T. M. Phan, “Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade,” Remote Sens. Environ. 150, 218–230 (2014).
[Crossref]

Nguyen, H. H.

H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
[Crossref]

Nguyen, N. M.

P. Marchesiello, N. M. Nguyen, N. Gratiot, H. Loisel, E. J. Anthony, D. C. San, T. Nguyen, R. Almar, and E. Kestenare, “Erosion of the coastal Mekong delta: Assessing natural against man induced processes,” Cont. Shelf Res. (2019), https://doi.org/10.1016/j.csr.2019.05.004 .

Nguyen, T.

P. Marchesiello, N. M. Nguyen, N. Gratiot, H. Loisel, E. J. Anthony, D. C. San, T. Nguyen, R. Almar, and E. Kestenare, “Erosion of the coastal Mekong delta: Assessing natural against man induced processes,” Cont. Shelf Res. (2019), https://doi.org/10.1016/j.csr.2019.05.004 .

Nguyen, T. H.

P. Schmidt-Thomé, T. H. Nguyen, T. L. Pham, J. Jarva, and K. Nuottimäki, “Climate change adaptation measures in Vietnam,” SpringerBriefs in Earth Scien. (2015).

Nguyen, T. V.

H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
[Crossref]

Nguyen, V. L.

E. J. Anthony, G. Brunier, M. Besset, M. Goichot, P. Dussouillez, and V. L. Nguyen, “Linking rapid erosion of the Mekong River delta to human activities,” Sci. Rep. 5(1), 14745 (2015).
[Crossref]

Nicolas, J.-M.

J.-M. Nicolas, P.-Y. Deschamps, H. Loisel, and C. Moulin, “ATBD, Atmospheric correction algorithms, POLDER2 Ocean Color,” https://polder-mission.cnes.fr/en/POLDER/SCIEPROD/oc_calib.htm (2005).

Novo, E. M. L. M.

V. S. Martins, C. C. F. Barbosa, L. A. S. de Carvalho, D. S. F. Jorge, F. L. Lobo, and E. M. L. M. Novo, “Assessment of atmospheric correction methods for Sentinel-2 MSI images applied to Amazon floodplain lakes,” Remote Sens. 9(4), 322 (2017).
[Crossref]

Novoa, S.

S. Novoa, D. Doxaran, A. Ody, Q. Vanhellemont, V. Lafon, B. Lubac, and P. Gernez, “Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters,” Remote Sens. 9(1), 61 (2017).
[Crossref]

Nuottimäki, K.

P. Schmidt-Thomé, T. H. Nguyen, T. L. Pham, J. Jarva, and K. Nuottimäki, “Climate change adaptation measures in Vietnam,” SpringerBriefs in Earth Scien. (2015).

Ody, A.

S. Novoa, D. Doxaran, A. Ody, Q. Vanhellemont, V. Lafon, B. Lubac, and P. Gernez, “Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters,” Remote Sens. 9(1), 61 (2017).
[Crossref]

Oh, I. S.

Ondrusek, M.

N. Pahlevan, J. R. Schott, B. A. Franz, G. Zibordi, B. Markham, S. Bailey, C. B. Schaaf, M. Ondrusek, S. Greb, and C. M. Strait, “Landsat 8 remote sensing reflectance (Rrs) products: evaluations, intercomparisons, and enhancements,” Remote Sens. Environ. 190, 289–301 (2017).
[Crossref]

Ouillon, S.

H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
[Crossref]

B. Han, H. Loisel, V. Vantrepotte, X. Mériaux, P. Bryère, S. Ouillon, D. Dessailly, Q. Xing, and J. Zhu, “Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters,” Remote Sens. 8(3), 211 (2016).
[Crossref]

H. Loisel, A. Magin, V. Vantrepotte, D. Dessailly, D. D. Ngoc, P. Garnesson, S. Ouillon, J.-P. Lefebvre, X. Mériaux, and T. M. Phan, “Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade,” Remote Sens. Environ. 150, 218–230 (2014).
[Crossref]

Ovidio, F.

Paavel, B.

T. Kutser, G. C. Pascual, C. Barbosa, B. Paavel, R. Ferreira, L. Carvalho, and K. Toming, “Mapping inland water carbon content with Landsat 8 data,” Int. J. Remote Sens. 37(13), 2950–2961 (2016).
[Crossref]

Pahlevan, N.

C. O. Ilori, N. Pahlevan, and A. Knudby, “Analyzing performances of different atmospheric correction techniques for Landsat 8: application for coastal remote sensing,” Remote Sens. 11(4), 469 (2019).
[Crossref]

N. Pahlevan, J. R. Schott, B. A. Franz, G. Zibordi, B. Markham, S. Bailey, C. B. Schaaf, M. Ondrusek, S. Greb, and C. M. Strait, “Landsat 8 remote sensing reflectance (Rrs) products: evaluations, intercomparisons, and enhancements,” Remote Sens. Environ. 190, 289–301 (2017).
[Crossref]

Park, Y.

B. Nechad, K. G. Ruddick, and Y. Park, “Calibration and validation of a generic multisensor algorithm for mapping of total suspended matter in turbid waters,” Remote Sensing of Environment. 114(4), 854–866 (2010).
[Crossref]

Park, Y. J.

J. H. Ahn, Y. J. Park, W. Kim, B. Lee, and I. S. Oh, “Vicarious calibration of the geostationary ocean color imager,” Opt. Express 23(18), 23236–3258 (2015).
[Crossref]

J. H. Ahn, Y. J. Park, J. H. Ryu, and B. Lee, “Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI),” Ocean Sci. J. 47(3), 247–259 (2012).
[Crossref]

Pascual, G. C.

T. Kutser, G. C. Pascual, C. Barbosa, B. Paavel, R. Ferreira, L. Carvalho, and K. Toming, “Mapping inland water carbon content with Landsat 8 data,” Int. J. Remote Sens. 37(13), 2950–2961 (2016).
[Crossref]

Peetermans, W.

G. Thuillier, M. Hersé, D. Labs, T. Foujols, W. Peetermans, D. Gillotay, P. C. Simon, and H. Mandel, “The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions,” Sol. Phys. 214(1), 1–22 (2003).
[Crossref]

Peters, M.

C. Brockmann, R. Doerffer, M. Peters, K. Stelzer, S. Embacher, and A. Ruescas, “Evolution of the C2RCC neural network for Sentinel 2 and 3 for the retrieval of ocean colour products in normal and extreme optically complex waters,” Proceedings of Living Planet Symposium (2016).

Pflug, B.

M. Main-Knorn, B. Pflug, J. Louis, V. Debaecker, U. Müller-Wilm, and F. Gascon, “Sen2Cor for Sentinel-2,” Proceedings Volume 10427, Image and Signal Processing for Remote Sensing XXIII (2017).

Pham, T. L.

P. Schmidt-Thomé, T. H. Nguyen, T. L. Pham, J. Jarva, and K. Nuottimäki, “Climate change adaptation measures in Vietnam,” SpringerBriefs in Earth Scien. (2015).

Phan, T. M.

H. Loisel, A. Magin, V. Vantrepotte, D. Dessailly, D. D. Ngoc, P. Garnesson, S. Ouillon, J.-P. Lefebvre, X. Mériaux, and T. M. Phan, “Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade,” Remote Sens. Environ. 150, 218–230 (2014).
[Crossref]

Poteau, A.

H. Loisel, X. Mériaux, A. Poteau, L. F. Artigas, B. Lubac, A. Gardel, J. Caillaud, and S. Lesourd, “Analyze of the inherent optical properties of French Guiana coastal waters for remote sensing applications,” J. Coast. Res. 56, 1532–1536 (2009).

Qi, L.

Z. Lee, S. Shang, L. Qi, J. Yan, and G. Lin, “A semi-analytical scheme to estimate Secchi-disk depth from Landsat-8 measurements,” Remote Sens. Environ. 177, 101–106 (2016).
[Crossref]

Quan, N. V.

P. T. M. Hanh, D. T. Nghi, T. D. Lan, N. V. Quan, D. T. Ba, and P. H. Viet, “The status and distribution of PCBs along the coast of Vietnam,” Environ. Geochem. Health 41(1), 381–390 (2019)..
[Crossref]

Ramon, D.

Reusen, I.

L. De Keukelaere, S. Sterckx, S. Adriaensen, E. Knaeps, I. Reusen, C. Giardino, M. Bresciani, P. Hunter, C. Neil, D. Van der Zande, and D. Vaiciute, “Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters,” Eur. J. Remote. Sens. 51(1), 525–542 (2018).
[Crossref]

Rijkeboer, M.

Rouchit, P.

P. Luquet, A. Chikouche, A. B Benbouzid, J. J. Arnoux, E. Chinal, C Massol, P. Rouchit, and S. de Zotti, “NAOMI instrument: a product line of compact & versatile cameras designed for high resolution missions in Earth observation,” Proceedings of the 7th ICSO (2008).

Roy, D. P.

J. Li and D. P. Roy, “A global analysis of Sentinel-2A, Sentinel-2B and Landsat-8 data revisit intervals and implications for terrestrial monitoring,” Remote Sens. 9(9), 902 (2017).
[Crossref]

Ruddick, K.

Q. Vanhellemont and K. Ruddick, “Turbid wakes associated with offshore wind turbines observed with Landsat 8,” Remote Sens. Environ. 145, 105–115 (2014).
[Crossref]

Ruddick, K. G.

Ruescas, A.

C. Brockmann, R. Doerffer, M. Peters, K. Stelzer, S. Embacher, and A. Ruescas, “Evolution of the C2RCC neural network for Sentinel 2 and 3 for the retrieval of ocean colour products in normal and extreme optically complex waters,” Proceedings of Living Planet Symposium (2016).

Ryu, J. H.

J. H. Ahn, Y. J. Park, J. H. Ryu, and B. Lee, “Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI),” Ocean Sci. J. 47(3), 247–259 (2012).
[Crossref]

Sagar, S.

L. Lymburner, E. Botha, E. Hestir, J. Anstee, S. Sagar, A. Dekker, and T. Malthus, “Landsat 8: providing continuity and increased precision for measuring multi-decadal time series of total suspended matter,” Remote Sens. Environ. 185, 108–118 (2016).
[Crossref]

San, D. C.

P. Marchesiello, N. M. Nguyen, N. Gratiot, H. Loisel, E. J. Anthony, D. C. San, T. Nguyen, R. Almar, and E. Kestenare, “Erosion of the coastal Mekong delta: Assessing natural against man induced processes,” Cont. Shelf Res. (2019), https://doi.org/10.1016/j.csr.2019.05.004 .

Santera, R.

J. Brajarda, R. Santera, M. Créponb, and S. Thiria, “Atmospheric correction of MERIS data for case-2 waters using a neuro-variational inversion,” Remote Sens. Environ. 126, 51–61 (2012).
[Crossref]

Schaaf, C. B.

N. Pahlevan, J. R. Schott, B. A. Franz, G. Zibordi, B. Markham, S. Bailey, C. B. Schaaf, M. Ondrusek, S. Greb, and C. M. Strait, “Landsat 8 remote sensing reflectance (Rrs) products: evaluations, intercomparisons, and enhancements,” Remote Sens. Environ. 190, 289–301 (2017).
[Crossref]

Schaale, M.

T. Schroeder, I. Behnert, M. Schaale, J. Fischer, and R. Doerffer, “Atmospheric correction algorithm for MERIS above case-2 waters,” Int. J. Remote Sens. 28(7), 1469–1486 (2007).
[Crossref]

Schmidt-Thomé, P.

P. Schmidt-Thomé, T. H. Nguyen, T. L. Pham, J. Jarva, and K. Nuottimäki, “Climate change adaptation measures in Vietnam,” SpringerBriefs in Earth Scien. (2015).

Schott, J. R.

N. Pahlevan, J. R. Schott, B. A. Franz, G. Zibordi, B. Markham, S. Bailey, C. B. Schaaf, M. Ondrusek, S. Greb, and C. M. Strait, “Landsat 8 remote sensing reflectance (Rrs) products: evaluations, intercomparisons, and enhancements,” Remote Sens. Environ. 190, 289–301 (2017).
[Crossref]

J. A. Concha and J. R. Schott, “Retrieval of color producing agents in Case 2 waters using Landsat 8,” Remote Sens. Environ. 185, 95–107 (2016).
[Crossref]

Schroeder, T.

T. Schroeder, I. Behnert, M. Schaale, J. Fischer, and R. Doerffer, “Atmospheric correction algorithm for MERIS above case-2 waters,” Int. J. Remote Sens. 28(7), 1469–1486 (2007).
[Crossref]

Schuster, G.

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

Schwindling, M.

R. Frouin, M. Schwindling, and P.-Y. Deschamps, “Spectral reflectance of sea foam in the visible and near-infrared: In situ measurements and remote sensing implications,” J. Geophys. Res. 101(C6), 14361–14371 (1996).
[Crossref]

Seppälä, J.

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

Shang, S.

Z. Lee, S. Shang, L. Qi, J. Yan, and G. Lin, “A semi-analytical scheme to estimate Secchi-disk depth from Landsat-8 measurements,” Remote Sens. Environ. 177, 101–106 (2016).
[Crossref]

Shang, Z.

J. Wei, Z. Lee, R. Garcia, L. Zoffoli, R. A. Armstrong, Z. Shang, P. Sheldon, and R. F. Chen, “An assessment of Landsat-8 atmospheric correction schemes and remote sensing reflectance products in coral reefs and coastal turbid waters,” Remote Sens. Environ. 215, 18–32 (2018).
[Crossref]

Sheldon, P.

J. Wei, Z. Lee, R. Garcia, L. Zoffoli, R. A. Armstrong, Z. Shang, P. Sheldon, and R. F. Chen, “An assessment of Landsat-8 atmospheric correction schemes and remote sensing reflectance products in coral reefs and coastal turbid waters,” Remote Sens. Environ. 215, 18–32 (2018).
[Crossref]

Shettle, E.P

E.P Shettle and R.W. Fenn, “Models for the aerosols of the lower atmosphere and the effects of humidity variations on their optical properties”, Report No. AFGL-TR-79-0214, Environmental Research Papers No.676, Bedford, MA: AF Geophysics Laboratory (1979).

Shi, K.

Y. Li, Y. Zhang, K. Shi, Y. Zhou, Y. Zhang, X. Liu, and Y. Guo, “Spatiotemporal dynamics of chlorophyll-a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors,” Environ. Sci. Pollut. Res. 25(2), 1359–1374 (2018).
[Crossref]

Shi, W.

Simon, P. C.

G. Thuillier, M. Hersé, D. Labs, T. Foujols, W. Peetermans, D. Gillotay, P. C. Simon, and H. Mandel, “The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions,” Sol. Phys. 214(1), 1–22 (2003).
[Crossref]

Sliwinska, S.

J. A. Urbanski, A. Wochna, I. Bubak, W. Grzybowski, K. Lukawska-Matuszewska, M. Łącka, S. Śliwińska, B. Wojtasiewicz, and M. Zajączkowski, “Application of Landsat 8 imagery to regional-scale assessment of lake water quality,” ITC J. 51, 28–36 (2016).
[Crossref]

Slonecker, E. T.

E. T. Slonecker, K. J. Daniel, and A. P. Brian, “The new Landsat 8 potential for remote sensing of colored dissolved organic matter (CDOM),” Mar. Pollut. Bull. 107(2), 518–527 (2016).
[Crossref]

Slutsker, I.

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

Steinmetz, F.

Stelzer, K.

C. Brockmann, R. Doerffer, M. Peters, K. Stelzer, S. Embacher, and A. Ruescas, “Evolution of the C2RCC neural network for Sentinel 2 and 3 for the retrieval of ocean colour products in normal and extreme optically complex waters,” Proceedings of Living Planet Symposium (2016).

Sterckx, S.

L. De Keukelaere, S. Sterckx, S. Adriaensen, E. Knaeps, I. Reusen, C. Giardino, M. Bresciani, P. Hunter, C. Neil, D. Van der Zande, and D. Vaiciute, “Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters,” Eur. J. Remote. Sens. 51(1), 525–542 (2018).
[Crossref]

Strait, C. M.

N. Pahlevan, J. R. Schott, B. A. Franz, G. Zibordi, B. Markham, S. Bailey, C. B. Schaaf, M. Ondrusek, S. Greb, and C. M. Strait, “Landsat 8 remote sensing reflectance (Rrs) products: evaluations, intercomparisons, and enhancements,” Remote Sens. Environ. 190, 289–301 (2017).
[Crossref]

Thiria, S.

J. Brajarda, R. Santera, M. Créponb, and S. Thiria, “Atmospheric correction of MERIS data for case-2 waters using a neuro-variational inversion,” Remote Sens. Environ. 126, 51–61 (2012).
[Crossref]

Thuillier, G.

G. Thuillier, M. Hersé, D. Labs, T. Foujols, W. Peetermans, D. Gillotay, P. C. Simon, and H. Mandel, “The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions,” Sol. Phys. 214(1), 1–22 (2003).
[Crossref]

Toming, K.

T. Kutser, G. C. Pascual, C. Barbosa, B. Paavel, R. Ferreira, L. Carvalho, and K. Toming, “Mapping inland water carbon content with Landsat 8 data,” Int. J. Remote Sens. 37(13), 2950–2961 (2016).
[Crossref]

Tran, V.

H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
[Crossref]

Urbanski, J. A.

J. A. Urbanski, A. Wochna, I. Bubak, W. Grzybowski, K. Lukawska-Matuszewska, M. Łącka, S. Śliwińska, B. Wojtasiewicz, and M. Zajączkowski, “Application of Landsat 8 imagery to regional-scale assessment of lake water quality,” ITC J. 51, 28–36 (2016).
[Crossref]

Vaiciute, D.

L. De Keukelaere, S. Sterckx, S. Adriaensen, E. Knaeps, I. Reusen, C. Giardino, M. Bresciani, P. Hunter, C. Neil, D. Van der Zande, and D. Vaiciute, “Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters,” Eur. J. Remote. Sens. 51(1), 525–542 (2018).
[Crossref]

Van der Zande, D.

L. De Keukelaere, S. Sterckx, S. Adriaensen, E. Knaeps, I. Reusen, C. Giardino, M. Bresciani, P. Hunter, C. Neil, D. Van der Zande, and D. Vaiciute, “Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters,” Eur. J. Remote. Sens. 51(1), 525–542 (2018).
[Crossref]

Vandemark, D.

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

Vanhellemont, Q.

Q. Vanhellemont, “Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives,” Remote Sens. Environ. 225, 175–192 (2019).
[Crossref]

S. Novoa, D. Doxaran, A. Ody, Q. Vanhellemont, V. Lafon, B. Lubac, and P. Gernez, “Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters,” Remote Sens. 9(1), 61 (2017).
[Crossref]

Q. Vanhellemont and K. Ruddick, “Turbid wakes associated with offshore wind turbines observed with Landsat 8,” Remote Sens. Environ. 145, 105–115 (2014).
[Crossref]

Vantrepotte, V.

D. D. Ngoc, H. Loisel, C. Jamet, V. Vantrepotte, L. Duforêt-Gaurier, C. D. Minh, and A. Mangin, “Coastal and inland water pixels extraction algorithm (WiPE) from spectral shape analysis and HSV transformation applied to Landsat 8 OLI and Sentinel-2 MSI,” Remote Sens. Environ. 223, 208–228 (2019).
[Crossref]

H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
[Crossref]

B. Han, H. Loisel, V. Vantrepotte, X. Mériaux, P. Bryère, S. Ouillon, D. Dessailly, Q. Xing, and J. Zhu, “Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters,” Remote Sens. 8(3), 211 (2016).
[Crossref]

H. Loisel, A. Magin, V. Vantrepotte, D. Dessailly, D. D. Ngoc, P. Garnesson, S. Ouillon, J.-P. Lefebvre, X. Mériaux, and T. M. Phan, “Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade,” Remote Sens. Environ. 150, 218–230 (2014).
[Crossref]

V. Vantrepotte, H. Loisel, X. Mériaux, G. Neukermans, D. Dessailly, C. Jamet, E. Gensac, and A. Gardel, “Seasonal and inter-annual (2002-2010) variability of the suspended particulate matter as retrieved from satellite ocean color sensor over the French Guiana coastal waters,” J. Coast. Res. 64, 1750–1754 (2011).

Viet, N. T.

L. P. Melo de Almeida, R. Almar, B. Meyssignac, and N. T. Viet, “Contributions to coastal flooding events in southeast of Vietnam and their link with global mean sea level rise,” Geosciences (Basel, Switz.) 8(12), 437 (2018).
[Crossref]

Viet, P. H.

P. T. M. Hanh, D. T. Nghi, T. D. Lan, N. V. Quan, D. T. Ba, and P. H. Viet, “The status and distribution of PCBs along the coast of Vietnam,” Environ. Geochem. Health 41(1), 381–390 (2019)..
[Crossref]

Wang, M.

Waquet, F.

Wei, J.

J. Wei, Z. Lee, R. Garcia, L. Zoffoli, R. A. Armstrong, Z. Shang, P. Sheldon, and R. F. Chen, “An assessment of Landsat-8 atmospheric correction schemes and remote sensing reflectance products in coral reefs and coastal turbid waters,” Remote Sens. Environ. 215, 18–32 (2018).
[Crossref]

Werdell, J.

C. D. Mobley, J. Werdell, B. Franz, Z. Ahmad, and S. Bailey, “Atmospheric correction for satellite ocean color radiometry,” A Tutorial and Documentation of the Algorithms Used by the NASA Ocean Biology Processing Group (2016).

Werdell, P. J.

B. A. Franz, S. W. Bailey, N. Kuring, and P. J. Werdell, “Ocean color measurements with the Operational Land Imager on Landsat-8: implementation and evaluation in seaDAS,” J. Appl. Remote. Sens. 9(1), 096070 (2015).
[Crossref]

S. W. Bailey, B. A. Franz, and P. J. Werdell, “Estimation of near-infrared water-leaving reflectance for satellite ocean color data processing,” Opt. Express 18(7), 7521–7527 (2010).
[Crossref]

Wochna, A.

J. A. Urbanski, A. Wochna, I. Bubak, W. Grzybowski, K. Lukawska-Matuszewska, M. Łącka, S. Śliwińska, B. Wojtasiewicz, and M. Zajączkowski, “Application of Landsat 8 imagery to regional-scale assessment of lake water quality,” ITC J. 51, 28–36 (2016).
[Crossref]

Wojtasiewicz, B.

J. A. Urbanski, A. Wochna, I. Bubak, W. Grzybowski, K. Lukawska-Matuszewska, M. Łącka, S. Śliwińska, B. Wojtasiewicz, and M. Zajączkowski, “Application of Landsat 8 imagery to regional-scale assessment of lake water quality,” ITC J. 51, 28–36 (2016).
[Crossref]

Xing, Q.

B. Han, H. Loisel, V. Vantrepotte, X. Mériaux, P. Bryère, S. Ouillon, D. Dessailly, Q. Xing, and J. Zhu, “Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters,” Remote Sens. 8(3), 211 (2016).
[Crossref]

Yan, J.

Z. Lee, S. Shang, L. Qi, J. Yan, and G. Lin, “A semi-analytical scheme to estimate Secchi-disk depth from Landsat-8 measurements,” Remote Sens. Environ. 177, 101–106 (2016).
[Crossref]

Zajaczkowski, M.

J. A. Urbanski, A. Wochna, I. Bubak, W. Grzybowski, K. Lukawska-Matuszewska, M. Łącka, S. Śliwińska, B. Wojtasiewicz, and M. Zajączkowski, “Application of Landsat 8 imagery to regional-scale assessment of lake water quality,” ITC J. 51, 28–36 (2016).
[Crossref]

Zhang, Y.

Y. Li, Y. Zhang, K. Shi, Y. Zhou, Y. Zhang, X. Liu, and Y. Guo, “Spatiotemporal dynamics of chlorophyll-a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors,” Environ. Sci. Pollut. Res. 25(2), 1359–1374 (2018).
[Crossref]

Y. Li, Y. Zhang, K. Shi, Y. Zhou, Y. Zhang, X. Liu, and Y. Guo, “Spatiotemporal dynamics of chlorophyll-a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors,” Environ. Sci. Pollut. Res. 25(2), 1359–1374 (2018).
[Crossref]

Zhou, Y.

Y. Li, Y. Zhang, K. Shi, Y. Zhou, Y. Zhang, X. Liu, and Y. Guo, “Spatiotemporal dynamics of chlorophyll-a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors,” Environ. Sci. Pollut. Res. 25(2), 1359–1374 (2018).
[Crossref]

Zhu, J.

B. Han, H. Loisel, V. Vantrepotte, X. Mériaux, P. Bryère, S. Ouillon, D. Dessailly, Q. Xing, and J. Zhu, “Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters,” Remote Sens. 8(3), 211 (2016).
[Crossref]

Zibordi, G.

N. Pahlevan, J. R. Schott, B. A. Franz, G. Zibordi, B. Markham, S. Bailey, C. B. Schaaf, M. Ondrusek, S. Greb, and C. M. Strait, “Landsat 8 remote sensing reflectance (Rrs) products: evaluations, intercomparisons, and enhancements,” Remote Sens. Environ. 190, 289–301 (2017).
[Crossref]

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

G. Zibordi, J.-F. Berthon, F. Mélin, D. D’Alimonte, and S. Kaitala, “Validation of satellite ocean color primary products at optically complex coastal sites: Northern Adriatic Sea, Northern Baltic Proper and Gulf of Finland,” Remote Sens. Environ. 113(12), 2574–2591 (2009).
[Crossref]

G. Zibordi, F. Mélin, and J.-F. Berthon, “A time-series of above-water radiometric measurements for coastal water monitoring and remote sensing product validation,” IEEE Geos. and Remote Sens. Lett. 3(1), 120–124 (2006).
[Crossref]

Zoffoli, L.

J. Wei, Z. Lee, R. Garcia, L. Zoffoli, R. A. Armstrong, Z. Shang, P. Sheldon, and R. F. Chen, “An assessment of Landsat-8 atmospheric correction schemes and remote sensing reflectance products in coral reefs and coastal turbid waters,” Remote Sens. Environ. 215, 18–32 (2018).
[Crossref]

Appl. Opt. (3)

Environ. Geochem. Health (1)

P. T. M. Hanh, D. T. Nghi, T. D. Lan, N. V. Quan, D. T. Ba, and P. H. Viet, “The status and distribution of PCBs along the coast of Vietnam,” Environ. Geochem. Health 41(1), 381–390 (2019)..
[Crossref]

Environ. Sci. Pollut. Res. (1)

Y. Li, Y. Zhang, K. Shi, Y. Zhou, Y. Zhang, X. Liu, and Y. Guo, “Spatiotemporal dynamics of chlorophyll-a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors,” Environ. Sci. Pollut. Res. 25(2), 1359–1374 (2018).
[Crossref]

Eur. J. Remote. Sens. (1)

L. De Keukelaere, S. Sterckx, S. Adriaensen, E. Knaeps, I. Reusen, C. Giardino, M. Bresciani, P. Hunter, C. Neil, D. Van der Zande, and D. Vaiciute, “Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters,” Eur. J. Remote. Sens. 51(1), 525–542 (2018).
[Crossref]

Geosciences (Basel, Switz.) (1)

L. P. Melo de Almeida, R. Almar, B. Meyssignac, and N. T. Viet, “Contributions to coastal flooding events in southeast of Vietnam and their link with global mean sea level rise,” Geosciences (Basel, Switz.) 8(12), 437 (2018).
[Crossref]

IEEE Geos. and Remote Sens. Lett. (1)

G. Zibordi, F. Mélin, and J.-F. Berthon, “A time-series of above-water radiometric measurements for coastal water monitoring and remote sensing product validation,” IEEE Geos. and Remote Sens. Lett. 3(1), 120–124 (2006).
[Crossref]

Int. J. Remote Sens. (3)

D. Doxaran, P. Castaing, and S. J. Lavender, “Monitoring the maximum turbidity zone and detecting fine-scale turbidity features in the Gironde estuary using high spatial resolution satellite sensor (SPOT HRV, Landsat ETM+) data,” Int. J. Remote Sens. 27(11), 2303–2321 (2006).
[Crossref]

T. Kutser, G. C. Pascual, C. Barbosa, B. Paavel, R. Ferreira, L. Carvalho, and K. Toming, “Mapping inland water carbon content with Landsat 8 data,” Int. J. Remote Sens. 37(13), 2950–2961 (2016).
[Crossref]

T. Schroeder, I. Behnert, M. Schaale, J. Fischer, and R. Doerffer, “Atmospheric correction algorithm for MERIS above case-2 waters,” Int. J. Remote Sens. 28(7), 1469–1486 (2007).
[Crossref]

ITC J. (1)

J. A. Urbanski, A. Wochna, I. Bubak, W. Grzybowski, K. Lukawska-Matuszewska, M. Łącka, S. Śliwińska, B. Wojtasiewicz, and M. Zajączkowski, “Application of Landsat 8 imagery to regional-scale assessment of lake water quality,” ITC J. 51, 28–36 (2016).
[Crossref]

J. Appl. Remote. Sens. (1)

B. A. Franz, S. W. Bailey, N. Kuring, and P. J. Werdell, “Ocean color measurements with the Operational Land Imager on Landsat-8: implementation and evaluation in seaDAS,” J. Appl. Remote. Sens. 9(1), 096070 (2015).
[Crossref]

J. Atmos. Ocean. Tech. (1)

G. Zibordi, B. Holben, I. Slutsker, D. Giles, D. D’Alimonte, F. Mélin, J.-F. Berthon, D. Vandemark, H. Feng, G. Schuster, B. E. Fabbri, S. Kaitala, and J. Seppälä, “AERONET-OC: A network for the validation of ocean color primary products,” J. Atmos. Ocean. Tech. 26(8), 1634–1651 (2009).
[Crossref]

J. Coast. Res. (2)

H. Loisel, X. Mériaux, A. Poteau, L. F. Artigas, B. Lubac, A. Gardel, J. Caillaud, and S. Lesourd, “Analyze of the inherent optical properties of French Guiana coastal waters for remote sensing applications,” J. Coast. Res. 56, 1532–1536 (2009).

V. Vantrepotte, H. Loisel, X. Mériaux, G. Neukermans, D. Dessailly, C. Jamet, E. Gensac, and A. Gardel, “Seasonal and inter-annual (2002-2010) variability of the suspended particulate matter as retrieved from satellite ocean color sensor over the French Guiana coastal waters,” J. Coast. Res. 64, 1750–1754 (2011).

J. Geophys. Res. (1)

R. Frouin, M. Schwindling, and P.-Y. Deschamps, “Spectral reflectance of sea foam in the visible and near-infrared: In situ measurements and remote sensing implications,” J. Geophys. Res. 101(C6), 14361–14371 (1996).
[Crossref]

J. Geophys. Res. Atmos. (1)

H. Gordon, “Atmospheric correction of ocean color imagery in the earth observing system era,” J. Geophys. Res. Atmos. 102(D14), 17081–17106 (1997).
[Crossref]

J. Opt. Soc. Am. (1)

Mar. Pollut. Bull. (1)

E. T. Slonecker, K. J. Daniel, and A. P. Brian, “The new Landsat 8 potential for remote sensing of colored dissolved organic matter (CDOM),” Mar. Pollut. Bull. 107(2), 518–527 (2016).
[Crossref]

Ocean Sci. J. (1)

J. H. Ahn, Y. J. Park, J. H. Ryu, and B. Lee, “Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI),” Ocean Sci. J. 47(3), 247–259 (2012).
[Crossref]

Opt. Express (7)

S. W. Bailey, B. A. Franz, and P. J. Werdell, “Estimation of near-infrared water-leaving reflectance for satellite ocean color data processing,” Opt. Express 18(7), 7521–7527 (2010).
[Crossref]

J. H. Ahn, Y. J. Park, W. Kim, B. Lee, and I. S. Oh, “Vicarious calibration of the geostationary ocean color imager,” Opt. Express 23(18), 23236–3258 (2015).
[Crossref]

C. Goyens, C. Jamet, and K. G. Ruddick, “Spectral relationships for atmospheric correction. I. Validation of red and near infra-red marine reflectance relationships,” Opt. Express 21(18), 21162–21175 (2013).
[Crossref]

M. Wang, W. Shi, and L. Jiang, “Atmospheric correction using near-infrared bands for satellite ocean color data processing in the turbid western Pacific region,” Opt. Express 20(2), 741–753 (2012).
[Crossref]

M. Wang and W. Shi, “The NIR-SWIR combined atmospheric correction approach for MODIS ocean color data processing,” Opt. Express 15(24), 15722–15733 (2007).
[Crossref]

M. Chami, B. Lafrance, B. Fougnie, J. Chowdhary, T. Harmel, and F. Waquet, “OSOAA: a vector radiative transfer model of coupled atmosphere-ocean system for a rough sea surface application to the estimates of the directional variations of the water leaving reflectance to better process multi-angular satellite sensors data over the ocean,” Opt. Express 23(21), 27829–27852 (2015).
[Crossref]

F. Steinmetz, P.-Y. Deschamps, and D. Ramon, “Atmospheric correction in presence of sun glint: Application to MERIS,” Opt. Express 19(10), 9783–9800 (2011).
[Crossref]

Remote Sens. (6)

V. S. Martins, C. C. F. Barbosa, L. A. S. de Carvalho, D. S. F. Jorge, F. L. Lobo, and E. M. L. M. Novo, “Assessment of atmospheric correction methods for Sentinel-2 MSI images applied to Amazon floodplain lakes,” Remote Sens. 9(4), 322 (2017).
[Crossref]

S. Novoa, D. Doxaran, A. Ody, Q. Vanhellemont, V. Lafon, B. Lubac, and P. Gernez, “Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters,” Remote Sens. 9(1), 61 (2017).
[Crossref]

J. Li and D. P. Roy, “A global analysis of Sentinel-2A, Sentinel-2B and Landsat-8 data revisit intervals and implications for terrestrial monitoring,” Remote Sens. 9(9), 902 (2017).
[Crossref]

S. Kay, J. D. Hedley, and S. Lavender, “Sun glint correction of high and low spatial resolution images of aquatic scenes: a review of methods for visible and near-infrared wavelengths,” Remote Sens. 1(4), 697–730 (2009).
[Crossref]

C. O. Ilori, N. Pahlevan, and A. Knudby, “Analyzing performances of different atmospheric correction techniques for Landsat 8: application for coastal remote sensing,” Remote Sens. 11(4), 469 (2019).
[Crossref]

B. Han, H. Loisel, V. Vantrepotte, X. Mériaux, P. Bryère, S. Ouillon, D. Dessailly, Q. Xing, and J. Zhu, “Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters,” Remote Sens. 8(3), 211 (2016).
[Crossref]

Remote Sens. Environ. (14)

B. Lubac and H. Loisel, “Variability and classification of remote sensing reflectance spectra in the eastern English Channel and southern North Sea,” Remote Sens. Environ. 110(1), 45–58 (2007).
[Crossref]

J. Brajarda, R. Santera, M. Créponb, and S. Thiria, “Atmospheric correction of MERIS data for case-2 waters using a neuro-variational inversion,” Remote Sens. Environ. 126, 51–61 (2012).
[Crossref]

L. Lymburner, E. Botha, E. Hestir, J. Anstee, S. Sagar, A. Dekker, and T. Malthus, “Landsat 8: providing continuity and increased precision for measuring multi-decadal time series of total suspended matter,” Remote Sens. Environ. 185, 108–118 (2016).
[Crossref]

Z. Lee, S. Shang, L. Qi, J. Yan, and G. Lin, “A semi-analytical scheme to estimate Secchi-disk depth from Landsat-8 measurements,” Remote Sens. Environ. 177, 101–106 (2016).
[Crossref]

H. Loisel, V. Vantrepotte, S. Ouillon, D. D. Ngoc, M. Herrmann, V. Tran, X. Mériaux, D. Dessailly, C. Jamet, T. Duhaut, H. H. Nguyen, and T. V. Nguyen, “Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012),” Remote Sens. Environ. 190, 217–232 (2017).
[Crossref]

Q. Vanhellemont and K. Ruddick, “Turbid wakes associated with offshore wind turbines observed with Landsat 8,” Remote Sens. Environ. 145, 105–115 (2014).
[Crossref]

J. A. Concha and J. R. Schott, “Retrieval of color producing agents in Case 2 waters using Landsat 8,” Remote Sens. Environ. 185, 95–107 (2016).
[Crossref]

H. Loisel, A. Magin, V. Vantrepotte, D. Dessailly, D. D. Ngoc, P. Garnesson, S. Ouillon, J.-P. Lefebvre, X. Mériaux, and T. M. Phan, “Variability of suspended particulate matter concentration in coastal waters under the Mekong's influence from ocean color (MERIS) remote sensing over the last decade,” Remote Sens. Environ. 150, 218–230 (2014).
[Crossref]

J. Wei, Z. Lee, R. Garcia, L. Zoffoli, R. A. Armstrong, Z. Shang, P. Sheldon, and R. F. Chen, “An assessment of Landsat-8 atmospheric correction schemes and remote sensing reflectance products in coral reefs and coastal turbid waters,” Remote Sens. Environ. 215, 18–32 (2018).
[Crossref]

G. Zibordi, J.-F. Berthon, F. Mélin, D. D’Alimonte, and S. Kaitala, “Validation of satellite ocean color primary products at optically complex coastal sites: Northern Adriatic Sea, Northern Baltic Proper and Gulf of Finland,” Remote Sens. Environ. 113(12), 2574–2591 (2009).
[Crossref]

N. Pahlevan, J. R. Schott, B. A. Franz, G. Zibordi, B. Markham, S. Bailey, C. B. Schaaf, M. Ondrusek, S. Greb, and C. M. Strait, “Landsat 8 remote sensing reflectance (Rrs) products: evaluations, intercomparisons, and enhancements,” Remote Sens. Environ. 190, 289–301 (2017).
[Crossref]

Q. Vanhellemont, “Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives,” Remote Sens. Environ. 225, 175–192 (2019).
[Crossref]

P. S. Chavez, “An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data,” Remote Sens. Environ. 24(3), 459–479 (1988).
[Crossref]

D. D. Ngoc, H. Loisel, C. Jamet, V. Vantrepotte, L. Duforêt-Gaurier, C. D. Minh, and A. Mangin, “Coastal and inland water pixels extraction algorithm (WiPE) from spectral shape analysis and HSV transformation applied to Landsat 8 OLI and Sentinel-2 MSI,” Remote Sens. Environ. 223, 208–228 (2019).
[Crossref]

Remote Sensing of Environment. (1)

B. Nechad, K. G. Ruddick, and Y. Park, “Calibration and validation of a generic multisensor algorithm for mapping of total suspended matter in turbid waters,” Remote Sensing of Environment. 114(4), 854–866 (2010).
[Crossref]

Sci. Rep. (1)

E. J. Anthony, G. Brunier, M. Besset, M. Goichot, P. Dussouillez, and V. L. Nguyen, “Linking rapid erosion of the Mekong River delta to human activities,” Sci. Rep. 5(1), 14745 (2015).
[Crossref]

Sol. Phys. (1)

G. Thuillier, M. Hersé, D. Labs, T. Foujols, W. Peetermans, D. Gillotay, P. C. Simon, and H. Mandel, “The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions,” Sol. Phys. 214(1), 1–22 (2003).
[Crossref]

Other (10)

E.P Shettle and R.W. Fenn, “Models for the aerosols of the lower atmosphere and the effects of humidity variations on their optical properties”, Report No. AFGL-TR-79-0214, Environmental Research Papers No.676, Bedford, MA: AF Geophysics Laboratory (1979).

C. D. Mobley, J. Werdell, B. Franz, Z. Ahmad, and S. Bailey, “Atmospheric correction for satellite ocean color radiometry,” A Tutorial and Documentation of the Algorithms Used by the NASA Ocean Biology Processing Group (2016).

J.-M. Nicolas, P.-Y. Deschamps, H. Loisel, and C. Moulin, “ATBD, Atmospheric correction algorithms, POLDER2 Ocean Color,” https://polder-mission.cnes.fr/en/POLDER/SCIEPROD/oc_calib.htm (2005).

P. Marchesiello, N. M. Nguyen, N. Gratiot, H. Loisel, E. J. Anthony, D. C. San, T. Nguyen, R. Almar, and E. Kestenare, “Erosion of the coastal Mekong delta: Assessing natural against man induced processes,” Cont. Shelf Res. (2019), https://doi.org/10.1016/j.csr.2019.05.004 .

“Climate hange 2001: impacts, adaptation, and vulnerability,” IPCC report (2001).

P. Schmidt-Thomé, T. H. Nguyen, T. L. Pham, J. Jarva, and K. Nuottimäki, “Climate change adaptation measures in Vietnam,” SpringerBriefs in Earth Scien. (2015).

C. D. Minh, “Space Technology Development of Vietnam in 2011-2012,” Proceedings of APRSAF, 19 (2012).

P. Luquet, A. Chikouche, A. B Benbouzid, J. J. Arnoux, E. Chinal, C Massol, P. Rouchit, and S. de Zotti, “NAOMI instrument: a product line of compact & versatile cameras designed for high resolution missions in Earth observation,” Proceedings of the 7th ICSO (2008).

C. Brockmann, R. Doerffer, M. Peters, K. Stelzer, S. Embacher, and A. Ruescas, “Evolution of the C2RCC neural network for Sentinel 2 and 3 for the retrieval of ocean colour products in normal and extreme optically complex waters,” Proceedings of Living Planet Symposium (2016).

M. Main-Knorn, B. Pflug, J. Louis, V. Debaecker, U. Müller-Wilm, and F. Gascon, “Sen2Cor for Sentinel-2,” Proceedings Volume 10427, Image and Signal Processing for Remote Sensing XXIII (2017).

Cited By

OSA participates in Crossref's Cited-By Linking service. Citing articles from OSA journals and other participating publishers are listed here.

Alert me when this article is cited.


Figures (14)

Fig. 1.
Fig. 1. AERONET-OC stations selected for validation of the algorithm from Landsat-8/OLI (red stars) and VNREDSat-1/NAOMI (yellow triangles) observations.
Fig. 2.
Fig. 2. VNREDSat-1 bands spectral response.
Fig. 3.
Fig. 3. Spectral values of the TOA reflectance measured on March 18, 2015 by VNREDSat-1 (black dots) and estimated from radiative transfer calculations ((green stars) over the different NAOMI match-up stations (Table 3) and using the measured normalized water-leaving radiance.
Fig. 4.
Fig. 4. The logic flow of the water extraction pixel algorithm based on the combination of spectral shape analysis (step 1) and HSV analysis (step 2) for the NAOMI sensor. This flowchart requires the Rayleigh corrected reflectance at bands 1, 2, 3, and 4 as input parameters.
Fig. 5.
Fig. 5. (a) Scatter plots of ρrc(1) as a function of the ρrc(4)/ ρrc(3) band ratio for the seven different objects of the development data set (each color corresponds to a different object as indicated). The black lines correspond to the limit adopted to remove vegetation, clouds, construction, barren land, and thin clouds (step 1.1). The number of pixels before (panel a) and after (panel b) the application of the criterion adopted in steps 1.1 are provided in each panel.
Fig. 6.
Fig. 6. RGB VNREDSat-1 composite images over Danang-Vietnam (a), Tonlesap-Cambodia (c), and Lucinda-Australia (e). Results of the WiPE algorithm over the different selected images showing water pixels in blue, and other pixels in white (b, d, f). RGB VNREDSat-1 composite images over Puoltikasvaara-Sweden (a-b), and the Tien river- Vietnam (c-d). Results of the WiPE algorithm over the different selected images showing water pixels in blue, and other pixels in white (b, d).
Fig. 7.
Fig. 7. RGB VNREDSat-1 composite images over Puoltikasvaara-Sweden (a-b), and the Tien river- Vietnam (c-d). Results of the WiPE algorithm over the different selected images showing water pixels in blue, and other pixels in white (b, d).
Fig. 8.
Fig. 8. The logical flow of the Red-NIR model. Note that the iterative procedure is performed by the use of Eqs. (21) and (22).
Fig. 9.
Fig. 9. In situ (a) ρw(665) versus ρw(561) and (b) ρw(865) versus ρw(655). The black curve represents the best fit to the data.
Fig. 10.
Fig. 10. (a) Comparison of the Red-NIR-derived and measured Rrs(λ) values from the Landsat-8/OLI match-up data set (N = 67) at (a) all bands, (b) 655 nm, (c) 561 nm, and (d) 482 nm. The solid line represents the best linear regression type-II fit to data and the dashed line represents the 1:1 line.
Fig. 11.
Fig. 11. (a) Performance of the (a) Red-NIR, (b) NIR-SWIR1, (c) NIR-SWIR2, and (d) SWIR1-SWIR2 atmospheric correction algorithms for the estimation of Rrs(λ) at the blue, green and red Landsat-8/OLI nominal wavelengths for the 67 match-up data points. The solid line represents the best linear regression type-II fit to data and the dashed line represents the 1:1 line.
Fig. 12.
Fig. 12. (a) RGB OLI composite images over the Hangzhou Bay (China). Results of the (b) WiPE and (c) SeaDAS algorithms for the identification of the water pixels. (d), (e), and (f) same as (a), (b), and (c), respectively but over the area identified by the red square in (a). Scatter plots of the Rrs(λ)-Red-NIR vs. Rrs(λ) NIR-SWR1 in the (g) red, (h) green, and (i) blue bands. The solid line represents the 1:1 line.
Fig. 13.
Fig. 13. (a) Comparison of the Red-NIR derived and measured Rrs(λ) values from the VNREDSat-1 match-up data set (N = 6). The solid line represents the best linear regression type-II fit to data and the dashed line represents the 1:1 line. (b) Same as (a) but after the application of the TOA calibration factors estimated in Section 4.
Fig. 14.
Fig. 14. RGB (a) OLI and (b) NAOMI composite images over the Camau province (Vietnam). (c) Zoom on the red area of (a). (d) Results of the WiPE algorithm showing the detection of white-caps. Scatter plots of the Rrs(λ)-OLI-ACOLITE vs. Rrs(λ)-NAOMI-RED-NIR in the (d) red, (e) green, and (f) blue bands. The solid line represents the 1:1 line.

Tables (6)

Tables Icon

Table 1. Landsat-8/OLI and VNREDSat-1/NAOMI spectral bands and spatial resolutions.

Tables Icon

Table 2. Landsat-8/OLI match-up at Aeronet-OC stations.

Tables Icon

Table 3. VNREDSat-1/NAOMI match-up at Aeronet-OC stations.

Tables Icon

Table 4. Performance of the WiPE algorithm developed for NAOMI/VNREDSat-1 images. The number of water pixels identified by WiPE and visual interpretation are used to calculate the Mean Absolute Percentage Difference (MAPD in %). The numbers are given for whole 5 considered scenes.

Tables Icon

Table 5. Statistical indicators of the performance of the Red-NIR model and the three SeaDAS atmospheric correction configurations in retrieving based on the 67 match-up data points.

Tables Icon

Table 6. Statistic table performs accuracy of Rrs[sr−1] by applying RED-NIR processing on 06 VNREDSat-1 scenes based on match-up analysis.

Equations (22)

Equations on this page are rendered with MathJax. Learn more.

R M S D = k = 1 N ( R k r s , A e r o n e t R k r s , O L I ) 2 N
M P D = M e d i a n ( [ R k r s , A e r o n e t R k r s , O L I R r s , A e r o n e t ] 100 )
M B = k = 1 N R k r s , A e r o n e t R k r s , O L I N
L T O A ( λ ) = D N ( λ ) g a i n ( λ ) + b i a s ( λ )
L T O A ( λ ) = M L ( λ ) Q c a l ( λ ) + A L ( λ )
ρ T O A ( λ ) = π L T O A ( λ ) d 2 F 0 ( λ ) c o s ( θ 0 )
L TOA ( λ ) = I out ( λ ) F 0 ( λ ) π
ρ TOA ( λ ) = d 2 I o u t ( λ ) cos ( θ 0 )
ρ WN ( λ ) = Π F 0 L WN ( λ )
ρ T O A ( λ ) = ρ R ( λ ) + ρ a ( λ ) + ρ R a ( λ ) + T ( λ ) ρ g ( λ ) + t ( λ ) ρ w c ( λ ) + t ( λ ) ρ w ( λ )
ρ r c ( λ ) = ρ a ( λ ) + ρ R a ( λ ) + t ( λ ) ρ w ( λ )
ρ w ( λ ) = ρ r c ( λ ) ρ a ( λ ) ρ R a ( λ ) t ( λ )
t ( λ ) = t 0 ( λ ) t v ( λ ) = e x p [ ( τ r 2 + τ o z ) / c o s ( θ 0 ) ] e x p [ ( τ r 2 + τ o z ) / c o s ( θ v ) ]
ρ a ( λ L ) = ( ε 655 , 865 ) n ρ a ( 865 )
ε 655 , 865 = ρ a ( 655 ) ρ a ( 865 )
ρ w ( 561 ) = ρ r c ( 561 ) ( ρ r c ( 655 ) ρ r c ( 865 ) ) 865 561 865 655 ρ r c ( 865 ) t ( 561 )
ρ a ( 655 ) = ρ r c ( 655 ) t ( 655 ) . ρ w ( 655 )
ρ a ( 865 ) = ρ r c ( 865 ) t ( 865 ) . ρ w ( 865 )
ρ w ( 655 ) = 7.91 ρ w 2 ( 561 ) 0.111 ρ w ( 561 ) + 0.00367
ρ w ( 865 ) = 25.1 ρ w 3 ( 655 ) 1.09 ρ w 2 ( 655 ) + 0.107 ρ w ( 655 ) 0.0000237
ρ a ( 655 ) = ρ r c ( 655 ) t ( 655 ) ( 7.91 ρ w 2 ( 561 ) 0.111 ρ w ( 561 ) + 0.00367 )
ρ a ( 865 ) = ρ r c ( 865 ) t ( 865 ) ( 25.1 ρ w 3 ( 655 ) 1.09 ρ w 2 ( 655 ) + 0.107 ρ w ( 655 ) 0.0000237 )