Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data

Owing to the significant societal value of inland water resources, there is a need for cost-effective monitoring of water quality on large scales. We tested the suitability of the recently launched Sentinel-2A to monitor a key water quality parameter, coloured dissolved organic matter (CDOM), in var...

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Published in:Remote Sensing
Main Authors: Al-kharusi, Enass Said., Tenenbaum, David E., Abdi, Abdulhakim M., Kutser, Tiit, Karlsson, Jan, Bergström, Ann-kristin, Berggren, Martin
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2020
Subjects:
Online Access:https://lup.lub.lu.se/record/fcc15f0c-eb50-4250-8bc0-20a7dbb41333
https://doi.org/10.3390/rs12010157
https://portal.research.lu.se/files/77550618/remotesensing_12_00157_correction.pdf
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spelling ftulundlup:oai:lup.lub.lu.se:fcc15f0c-eb50-4250-8bc0-20a7dbb41333 2023-05-15T17:44:49+02:00 Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data Al-kharusi, Enass Said. Tenenbaum, David E. Abdi, Abdulhakim M. Kutser, Tiit Karlsson, Jan Bergström, Ann-kristin Berggren, Martin 2020 application/pdf https://lup.lub.lu.se/record/fcc15f0c-eb50-4250-8bc0-20a7dbb41333 https://doi.org/10.3390/rs12010157 https://portal.research.lu.se/files/77550618/remotesensing_12_00157_correction.pdf eng eng MDPI AG https://lup.lub.lu.se/record/fcc15f0c-eb50-4250-8bc0-20a7dbb41333 http://dx.doi.org/10.3390/rs12010157 https://portal.research.lu.se/files/77550618/remotesensing_12_00157_correction.pdf scopus:85082313277 info:eu-repo/semantics/openAccess Remote Sensing; 12(1), pp 157-157 (2020) ISSN: 2072-4292 Remote Sensing Geosciences Multidisciplinary Environmental Sciences Sweden Earth observation Colored dissolved organic matter contributiontojournal/article info:eu-repo/semantics/article text 2020 ftulundlup https://doi.org/10.3390/rs12010157 2023-02-01T23:39:58Z Owing to the significant societal value of inland water resources, there is a need for cost-effective monitoring of water quality on large scales. We tested the suitability of the recently launched Sentinel-2A to monitor a key water quality parameter, coloured dissolved organic matter (CDOM), in various types of lakes in northern Sweden. Values of a(420)CDOM (CDOM absorption at 420 nm wavelength) were obtained by analyzing water samples from 46 lakes in five districts across Sweden within an area of approximately 800 km2. We evaluated the relationships between a(420)CDOM and band ratios derived from Sentinel-2A Level-1C and Level-2A products. The band ratios B2/B3 (460 nm/560 nm) and B3/B5 (560 nm/705 nm) showed poor relationships with a(420)CDOM in Level-1C and 2A data both before and after the removal of outliers. However, there was a slightly stronger power relationship between the atmospherically-corrected B3/B4 ratio and a(420)CDOM (R2 = 0.28, n = 46), and this relationship was further improved (R2 = 0.65, n = 41) by removing observations affected by light haze and cirrus clouds. This study covered a wide range of lakes in different landscape settings and demonstrates the broad applicability of a(420)CDOM retrieval algorithms based on the B3/B4 ratio derived from Sentinel-2A. View Full-Text Article in Journal/Newspaper Northern Sweden Lund University Publications (LUP) Remote Sensing 12 1 157
institution Open Polar
collection Lund University Publications (LUP)
op_collection_id ftulundlup
language English
topic Remote Sensing
Geosciences
Multidisciplinary
Environmental Sciences
Sweden
Earth observation
Colored dissolved organic matter
spellingShingle Remote Sensing
Geosciences
Multidisciplinary
Environmental Sciences
Sweden
Earth observation
Colored dissolved organic matter
Al-kharusi, Enass Said.
Tenenbaum, David E.
Abdi, Abdulhakim M.
Kutser, Tiit
Karlsson, Jan
Bergström, Ann-kristin
Berggren, Martin
Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data
topic_facet Remote Sensing
Geosciences
Multidisciplinary
Environmental Sciences
Sweden
Earth observation
Colored dissolved organic matter
description Owing to the significant societal value of inland water resources, there is a need for cost-effective monitoring of water quality on large scales. We tested the suitability of the recently launched Sentinel-2A to monitor a key water quality parameter, coloured dissolved organic matter (CDOM), in various types of lakes in northern Sweden. Values of a(420)CDOM (CDOM absorption at 420 nm wavelength) were obtained by analyzing water samples from 46 lakes in five districts across Sweden within an area of approximately 800 km2. We evaluated the relationships between a(420)CDOM and band ratios derived from Sentinel-2A Level-1C and Level-2A products. The band ratios B2/B3 (460 nm/560 nm) and B3/B5 (560 nm/705 nm) showed poor relationships with a(420)CDOM in Level-1C and 2A data both before and after the removal of outliers. However, there was a slightly stronger power relationship between the atmospherically-corrected B3/B4 ratio and a(420)CDOM (R2 = 0.28, n = 46), and this relationship was further improved (R2 = 0.65, n = 41) by removing observations affected by light haze and cirrus clouds. This study covered a wide range of lakes in different landscape settings and demonstrates the broad applicability of a(420)CDOM retrieval algorithms based on the B3/B4 ratio derived from Sentinel-2A. View Full-Text
format Article in Journal/Newspaper
author Al-kharusi, Enass Said.
Tenenbaum, David E.
Abdi, Abdulhakim M.
Kutser, Tiit
Karlsson, Jan
Bergström, Ann-kristin
Berggren, Martin
author_facet Al-kharusi, Enass Said.
Tenenbaum, David E.
Abdi, Abdulhakim M.
Kutser, Tiit
Karlsson, Jan
Bergström, Ann-kristin
Berggren, Martin
author_sort Al-kharusi, Enass Said.
title Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data
title_short Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data
title_full Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data
title_fullStr Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data
title_full_unstemmed Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data
title_sort large-scale retrieval of coloured dissolved organic matter in northern lakes using sentinel-2 data
publisher MDPI AG
publishDate 2020
url https://lup.lub.lu.se/record/fcc15f0c-eb50-4250-8bc0-20a7dbb41333
https://doi.org/10.3390/rs12010157
https://portal.research.lu.se/files/77550618/remotesensing_12_00157_correction.pdf
genre Northern Sweden
genre_facet Northern Sweden
op_source Remote Sensing; 12(1), pp 157-157 (2020)
ISSN: 2072-4292
op_relation https://lup.lub.lu.se/record/fcc15f0c-eb50-4250-8bc0-20a7dbb41333
http://dx.doi.org/10.3390/rs12010157
https://portal.research.lu.se/files/77550618/remotesensing_12_00157_correction.pdf
scopus:85082313277
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.3390/rs12010157
container_title Remote Sensing
container_volume 12
container_issue 1
container_start_page 157
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