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

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Standard

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; Bergstrom, Ann-Kristin; Berggren, Martin.

I: Remote Sensing, Bind 12, Nr. 1, 2020.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Al-Kharusi, ES, Tenenbaum, DE, Abdi, AM, Kutser, T, Karlsson, J, Bergstrom, A-K & Berggren, M 2020, 'Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data', Remote Sensing, bind 12, nr. 1. https://doi.org/10.3390/rs12010157

APA

Al-Kharusi, E. S., Tenenbaum, D. E., Abdi, A. M., Kutser, T., Karlsson, J., Bergstrom, A-K., & Berggren, M. (2020). Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data. Remote Sensing, 12(1). https://doi.org/10.3390/rs12010157

Vancouver

Al-Kharusi ES, Tenenbaum DE, Abdi AM, Kutser T, Karlsson J, Bergstrom A-K o.a. Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data. Remote Sensing. 2020;12(1). https://doi.org/10.3390/rs12010157

Author

Al-Kharusi, Enass Said ; Tenenbaum, David E. ; Abdi, Abdulhakim M. ; Kutser, Tiit ; Karlsson, Jan ; Bergstrom, Ann-Kristin ; Berggren, Martin. / Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data. I: Remote Sensing. 2020 ; Bind 12, Nr. 1.

Bibtex

@article{4f389fbe5a9e4b7a9ed3003dd82b1541,
title = "Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data",
abstract = " 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.",
keywords = "Sentinel-2A, northern lakes, remote sensing, atmospheric correction, coloured dissolved organic matter (CDOM), water quality",
author = "Al-Kharusi, {Enass Said} and Tenenbaum, {David E.} and Abdi, {Abdulhakim M.} and Tiit Kutser and Jan Karlsson and Ann-Kristin Bergstrom and Martin Berggren",
year = "2020",
doi = "10.3390/rs12010157",
language = "English",
volume = "12",
journal = "Remote Sensing",
issn = "2072-4292",
publisher = "M D P I AG",
number = "1",

}

RIS

TY - JOUR

T1 - Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data

AU - Al-Kharusi, Enass Said

AU - Tenenbaum, David E.

AU - Abdi, Abdulhakim M.

AU - Kutser, Tiit

AU - Karlsson, Jan

AU - Bergstrom, Ann-Kristin

AU - Berggren, Martin

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Sentinel-2A

KW - northern lakes

KW - remote sensing

KW - atmospheric correction

KW - coloured dissolved organic matter (CDOM)

KW - water quality

U2 - 10.3390/rs12010157

DO - 10.3390/rs12010157

M3 - Journal article

VL - 12

JO - Remote Sensing

JF - Remote Sensing

SN - 2072-4292

IS - 1

ER -

ID: 240319784