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...
Published in: | Remote Sensing |
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Language: | English |
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MDPI AG
2020
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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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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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1766147098622820352 |