Evaluation of Sentinel-2A imagery for regional lake water quality assessments by observing colored dissolve organic matter (CDOM) in freshwater lakes in Västerbotten and Jämtland in northern Sweden

his study is intended to demonstrate the significant shifts in DOM concentration with space and time within and across inland waters (lakes), which can be acquired by the analysis of DOM concentration using Sentinel-2A imagery. Using a remote sensing method (based on Sentinel-2A data) to evaluate DO...

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Published in:Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017
Main Author: Said Al-Kharusi, Enass
Format: Conference Object
Language:English
Published: 2017
Subjects:
Online Access:https://lup.lub.lu.se/record/3e234f74-bee8-46d4-9831-8a92b442c245
https://doi.org/10.1117/12.2279383
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spelling ftulundlup:oai:lup.lub.lu.se:3e234f74-bee8-46d4-9831-8a92b442c245 2023-05-15T17:44:23+02:00 Evaluation of Sentinel-2A imagery for regional lake water quality assessments by observing colored dissolve organic matter (CDOM) in freshwater lakes in Västerbotten and Jämtland in northern Sweden Said Al-Kharusi, Enass 2017 https://lup.lub.lu.se/record/3e234f74-bee8-46d4-9831-8a92b442c245 https://doi.org/10.1117/12.2279383 eng eng https://lup.lub.lu.se/record/3e234f74-bee8-46d4-9831-8a92b442c245 http://dx.doi.org/10.1117/12.2279383 Oceanography Hydrology Water Resources contributiontoconference/abstract info:eu-repo/semantics/conferenceObject text 2017 ftulundlup https://doi.org/10.1117/12.2279383 2023-02-01T23:37:02Z his study is intended to demonstrate the significant shifts in DOM concentration with space and time within and across inland waters (lakes), which can be acquired by the analysis of DOM concentration using Sentinel-2A imagery. Using a remote sensing method (based on Sentinel-2A data) to evaluate DOM quantity or concentration in freshwater (lakes), optical properties shifts of CDOM of spatial and temporal observations at sites in Västerbotten and Jämtland in Northern Sweden can be understood in terms of the landscape features and hydrological events at those locations. Using Sentinel-2A as a data source for these remote sensing methods can provide an effective approach for estimating CDOM concentrations in water to obtain water quality information regularly, and also could help to accurately estimate the CDOM absorption coefficient (aCDOM ) via Sentinel-2A data of the study area. The estimation of (aCDOM ) by using Sentinel-2A could help to study DOM in inland waters at global scale by using following equation aCDOM(420)=5.13(B2/B3)-2.67 Key words: Dissolved Organic Matter component (DOM), water quality, sentinel -2A Conference Object Northern Sweden Lund University Publications (LUP) Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017 27
institution Open Polar
collection Lund University Publications (LUP)
op_collection_id ftulundlup
language English
topic Oceanography
Hydrology
Water Resources
spellingShingle Oceanography
Hydrology
Water Resources
Said Al-Kharusi, Enass
Evaluation of Sentinel-2A imagery for regional lake water quality assessments by observing colored dissolve organic matter (CDOM) in freshwater lakes in Västerbotten and Jämtland in northern Sweden
topic_facet Oceanography
Hydrology
Water Resources
description his study is intended to demonstrate the significant shifts in DOM concentration with space and time within and across inland waters (lakes), which can be acquired by the analysis of DOM concentration using Sentinel-2A imagery. Using a remote sensing method (based on Sentinel-2A data) to evaluate DOM quantity or concentration in freshwater (lakes), optical properties shifts of CDOM of spatial and temporal observations at sites in Västerbotten and Jämtland in Northern Sweden can be understood in terms of the landscape features and hydrological events at those locations. Using Sentinel-2A as a data source for these remote sensing methods can provide an effective approach for estimating CDOM concentrations in water to obtain water quality information regularly, and also could help to accurately estimate the CDOM absorption coefficient (aCDOM ) via Sentinel-2A data of the study area. The estimation of (aCDOM ) by using Sentinel-2A could help to study DOM in inland waters at global scale by using following equation aCDOM(420)=5.13(B2/B3)-2.67 Key words: Dissolved Organic Matter component (DOM), water quality, sentinel -2A
format Conference Object
author Said Al-Kharusi, Enass
author_facet Said Al-Kharusi, Enass
author_sort Said Al-Kharusi, Enass
title Evaluation of Sentinel-2A imagery for regional lake water quality assessments by observing colored dissolve organic matter (CDOM) in freshwater lakes in Västerbotten and Jämtland in northern Sweden
title_short Evaluation of Sentinel-2A imagery for regional lake water quality assessments by observing colored dissolve organic matter (CDOM) in freshwater lakes in Västerbotten and Jämtland in northern Sweden
title_full Evaluation of Sentinel-2A imagery for regional lake water quality assessments by observing colored dissolve organic matter (CDOM) in freshwater lakes in Västerbotten and Jämtland in northern Sweden
title_fullStr Evaluation of Sentinel-2A imagery for regional lake water quality assessments by observing colored dissolve organic matter (CDOM) in freshwater lakes in Västerbotten and Jämtland in northern Sweden
title_full_unstemmed Evaluation of Sentinel-2A imagery for regional lake water quality assessments by observing colored dissolve organic matter (CDOM) in freshwater lakes in Västerbotten and Jämtland in northern Sweden
title_sort evaluation of sentinel-2a imagery for regional lake water quality assessments by observing colored dissolve organic matter (cdom) in freshwater lakes in västerbotten and jämtland in northern sweden
publishDate 2017
url https://lup.lub.lu.se/record/3e234f74-bee8-46d4-9831-8a92b442c245
https://doi.org/10.1117/12.2279383
genre Northern Sweden
genre_facet Northern Sweden
op_relation https://lup.lub.lu.se/record/3e234f74-bee8-46d4-9831-8a92b442c245
http://dx.doi.org/10.1117/12.2279383
op_doi https://doi.org/10.1117/12.2279383
container_title Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017
container_start_page 27
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