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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Bibliographic Details
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
Description
Summary: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