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, Verpoorter, Charles, Ligi, Martin, Soomets, Tuuli, Toming, Kaire, Casal, Gema
Format: Article in Journal/Newspaper
Language:English
Published: Uppsala universitet, Limnologi 2016
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-301428
https://doi.org/10.3390/rs8060497
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spelling ftuppsalauniv:oai:DiVA.org:uu-301428 2023-09-26T15:15:27+02:00 Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters Kutser, Tiit Paavel, Birgot Verpoorter, Charles Ligi, Martin Soomets, Tuuli Toming, Kaire Casal, Gema 2016 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-301428 https://doi.org/10.3390/rs8060497 eng eng Uppsala universitet, Limnologi Univ Tartu, Estonian Marine Inst, Maealuse 14, EE-12618 Tallinn, Estonia.;Uppsala Univ, Evolutionary Biol Ctr, Limnol, Norbyvagen 18D, S-75236 Uppsala, Sweden. Univ Tartu, Estonian Marine Inst, Maealuse 14, EE-12618 Tallinn, Estonia. Univ Lille Nord France, Lab Oceanol & Geosci, ULCO, 32 Ave Foch, F-62930 Wimereux, France. Tartu Observ, EE-61602 Toravere, Toravere, Estonia. Remote Sensing, 2016, 8:6, http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-301428 doi:10.3390/rs8060497 ISI:000379985300056 info:eu-repo/semantics/openAccess lakes CDOM remote sensing hyperspectral Sentinel-2 chlorophyll-a suspended matter Landsat 8 Fjärranalysteknik Article in journal info:eu-repo/semantics/article text 2016 ftuppsalauniv https://doi.org/10.3390/rs8060497 2023-08-30T22:31:56Z 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 peaksnear 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 biomasschlorophyll-a (R-2 = 0.77), total suspended matter (R-2 = 0.70), and suspended particulate organic matter (R-2 = 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 ... Article in Journal/Newspaper Arctic Phytoplankton Uppsala University: Publications (DiVA) Arctic Remote Sensing 8 6 497
institution Open Polar
collection Uppsala University: Publications (DiVA)
op_collection_id ftuppsalauniv
language English
topic lakes
CDOM
remote sensing
hyperspectral
Sentinel-2
chlorophyll-a
suspended matter
Landsat 8
Fjärranalysteknik
spellingShingle lakes
CDOM
remote sensing
hyperspectral
Sentinel-2
chlorophyll-a
suspended matter
Landsat 8
Fjärranalysteknik
Kutser, Tiit
Paavel, Birgot
Verpoorter, Charles
Ligi, Martin
Soomets, Tuuli
Toming, Kaire
Casal, Gema
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
Fjärranalysteknik
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 peaksnear 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 biomasschlorophyll-a (R-2 = 0.77), total suspended matter (R-2 = 0.70), and suspended particulate organic matter (R-2 = 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 ...
format Article in Journal/Newspaper
author Kutser, Tiit
Paavel, Birgot
Verpoorter, Charles
Ligi, Martin
Soomets, Tuuli
Toming, Kaire
Casal, Gema
author_facet Kutser, Tiit
Paavel, Birgot
Verpoorter, Charles
Ligi, Martin
Soomets, Tuuli
Toming, Kaire
Casal, Gema
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 Uppsala universitet, Limnologi
publishDate 2016
url http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-301428
https://doi.org/10.3390/rs8060497
geographic Arctic
geographic_facet Arctic
genre Arctic
Phytoplankton
genre_facet Arctic
Phytoplankton
op_relation Remote Sensing, 2016, 8:6,
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-301428
doi:10.3390/rs8060497
ISI:000379985300056
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.3390/rs8060497
container_title Remote Sensing
container_volume 8
container_issue 6
container_start_page 497
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