Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters

Many lakes in boreal and arctic regions have high concentrations of CDOM (coloured dissolved organic matter). Remote sensing of such lakes is complicated due to very low water leaving signals. There are extreme (black) lakes where the water reflectance values are negligible in almost entire visible...

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Published in:Remote Sensing
Main Authors: Kutser, Tiit, Paavel, Birgot, Ligi, Martin, Soomets, Tuuli, Toming, Kaire, Casal, Gema, Verpoorter, Charles
Other Authors: Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 (LOG), Institut national des sciences de l'Univers (INSU - CNRS)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Nord ), Université du Littoral Côte d'Opale (ULCO)
Format: Other/Unknown Material
Language:English
Published: HAL CCSD 2016
Subjects:
Online Access:https://hal.science/hal-04309877
https://hal.science/hal-04309877/document
https://hal.science/hal-04309877/file/remotesensing-08-00497.pdf
https://doi.org/10.3390/rs8060497
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spelling ftinsu:oai:HAL:hal-04309877v1 2024-02-11T10:01:50+01:00 Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters Kutser, Tiit Paavel, Birgot Ligi, Martin Soomets, Tuuli Toming, Kaire Casal, Gema Verpoorter, Charles Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 (LOG) Institut national des sciences de l'Univers (INSU - CNRS)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Nord ) Université du Littoral Côte d'Opale (ULCO) 2016-06-14 https://hal.science/hal-04309877 https://hal.science/hal-04309877/document https://hal.science/hal-04309877/file/remotesensing-08-00497.pdf https://doi.org/10.3390/rs8060497 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/rs8060497 hal-04309877 https://hal.science/hal-04309877 https://hal.science/hal-04309877/document https://hal.science/hal-04309877/file/remotesensing-08-00497.pdf doi:10.3390/rs8060497 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2072-4292 Remote Sensing https://hal.science/hal-04309877 Remote Sensing, 8 (6), pp.497, 2016, Water Optics and Water Colour Remote Sensing, ⟨10.3390/rs8060497⟩ lakes CDOM remote sensing hyperspectral Sentinel-2 chlorophyll-a suspended matter Landsat 8 [SDU.STU]Sciences of the Universe [physics]/Earth Sciences info:eu-repo/semantics/other Special issue 2016 ftinsu https://doi.org/10.3390/rs8060497 2024-01-24T17:25:26Z Many lakes in boreal and arctic regions have high concentrations of CDOM (coloured dissolved organic matter). Remote sensing of such lakes is complicated due to very low water leaving signals. There are extreme (black) lakes where the water reflectance values are negligible in almost entire visible part of spectrum (400–700 nm) due to the absorption by CDOM. In these lakes, the only water-leaving signal detectable by remote sensing sensors occurs as two peaks—near 710 nm and 810 nm. The first peak has been widely used in remote sensing of eutrophic waters for more than two decades. We show on the example of field radiometry data collected in Estonian and Swedish lakes that the height of the 810 nm peak can also be used in retrieving water constituents from remote sensing data. This is important especially in black lakes where the height of the 710 nm peak is still affected by CDOM. We have shown that the 810 nm peak can be used also in remote sensing of a wide variety of lakes. The 810 nm peak is caused by combined effect of slight decrease in absorption by water molecules and backscattering from particulate material in the water. Phytoplankton was the dominant particulate material in most of the studied lakes. Therefore, the height of the 810 peak was in good correlation with all proxies of phytoplankton biomass—chlorophyll-a (R2 = 0.77), total suspended matter (R2 = 0.70), and suspended particulate organic matter (R2 = 0.68). There was no correlation between the peak height and the suspended particulate inorganic matter. Satellite sensors with sufficient spatial and radiometric resolution for mapping lake water quality (Landsat 8 OLI and Sentinel-2 MSI) were launched recently. In order to test whether these satellites can capture the 810 nm peak we simulated the spectral performance of these two satellites from field radiometry data. Actual satellite imagery from a black lake was also used to study whether these sensors can detect the peak despite their band configuration. Sentinel 2 MSI has a nearly perfectly ... Other/Unknown Material Arctic Phytoplankton Institut national des sciences de l'Univers: HAL-INSU Arctic Remote Sensing 8 6 497
institution Open Polar
collection Institut national des sciences de l'Univers: HAL-INSU
op_collection_id ftinsu
language English
topic lakes
CDOM
remote sensing
hyperspectral
Sentinel-2
chlorophyll-a
suspended matter
Landsat 8
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
spellingShingle lakes
CDOM
remote sensing
hyperspectral
Sentinel-2
chlorophyll-a
suspended matter
Landsat 8
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
Kutser, Tiit
Paavel, Birgot
Ligi, Martin
Soomets, Tuuli
Toming, Kaire
Casal, Gema
Verpoorter, Charles
Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters
topic_facet lakes
CDOM
remote sensing
hyperspectral
Sentinel-2
chlorophyll-a
suspended matter
Landsat 8
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
description Many lakes in boreal and arctic regions have high concentrations of CDOM (coloured dissolved organic matter). Remote sensing of such lakes is complicated due to very low water leaving signals. There are extreme (black) lakes where the water reflectance values are negligible in almost entire visible part of spectrum (400–700 nm) due to the absorption by CDOM. In these lakes, the only water-leaving signal detectable by remote sensing sensors occurs as two peaks—near 710 nm and 810 nm. The first peak has been widely used in remote sensing of eutrophic waters for more than two decades. We show on the example of field radiometry data collected in Estonian and Swedish lakes that the height of the 810 nm peak can also be used in retrieving water constituents from remote sensing data. This is important especially in black lakes where the height of the 710 nm peak is still affected by CDOM. We have shown that the 810 nm peak can be used also in remote sensing of a wide variety of lakes. The 810 nm peak is caused by combined effect of slight decrease in absorption by water molecules and backscattering from particulate material in the water. Phytoplankton was the dominant particulate material in most of the studied lakes. Therefore, the height of the 810 peak was in good correlation with all proxies of phytoplankton biomass—chlorophyll-a (R2 = 0.77), total suspended matter (R2 = 0.70), and suspended particulate organic matter (R2 = 0.68). There was no correlation between the peak height and the suspended particulate inorganic matter. Satellite sensors with sufficient spatial and radiometric resolution for mapping lake water quality (Landsat 8 OLI and Sentinel-2 MSI) were launched recently. In order to test whether these satellites can capture the 810 nm peak we simulated the spectral performance of these two satellites from field radiometry data. Actual satellite imagery from a black lake was also used to study whether these sensors can detect the peak despite their band configuration. Sentinel 2 MSI has a nearly perfectly ...
author2 Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 (LOG)
Institut national des sciences de l'Univers (INSU - CNRS)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Nord )
Université du Littoral Côte d'Opale (ULCO)
format Other/Unknown Material
author Kutser, Tiit
Paavel, Birgot
Ligi, Martin
Soomets, Tuuli
Toming, Kaire
Casal, Gema
Verpoorter, Charles
author_facet Kutser, Tiit
Paavel, Birgot
Ligi, Martin
Soomets, Tuuli
Toming, Kaire
Casal, Gema
Verpoorter, Charles
author_sort Kutser, Tiit
title Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters
title_short Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters
title_full Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters
title_fullStr Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters
title_full_unstemmed Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters
title_sort remote sensing of black lakes and using 810 nm reflectance peak for retrieving water quality parameters of optically complex waters
publisher HAL CCSD
publishDate 2016
url https://hal.science/hal-04309877
https://hal.science/hal-04309877/document
https://hal.science/hal-04309877/file/remotesensing-08-00497.pdf
https://doi.org/10.3390/rs8060497
geographic Arctic
geographic_facet Arctic
genre Arctic
Phytoplankton
genre_facet Arctic
Phytoplankton
op_source ISSN: 2072-4292
Remote Sensing
https://hal.science/hal-04309877
Remote Sensing, 8 (6), pp.497, 2016, Water Optics and Water Colour Remote Sensing, ⟨10.3390/rs8060497⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.3390/rs8060497
hal-04309877
https://hal.science/hal-04309877
https://hal.science/hal-04309877/document
https://hal.science/hal-04309877/file/remotesensing-08-00497.pdf
doi:10.3390/rs8060497
op_rights http://creativecommons.org/licenses/by/
info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.3390/rs8060497
container_title Remote Sensing
container_volume 8
container_issue 6
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