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Water constituents and water depth retrieval from Sentinel-2A – a first evaluation in an oligotrophic lake

Dörnhöfer, Katja and Göritz, Anna and Gege, Peter and Pflug, Bringfried and Oppelt, Natascha (2016) Water constituents and water depth retrieval from Sentinel-2A – a first evaluation in an oligotrophic lake. Remote Sensing, 8 (11), pp. 1-25. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs8110941 ISSN 2072-4292

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Official URL: http://www.mdpi.com/2072-4292/8/11/941/pdf

Abstract

Satellite remote sensing may assist in meeting the needs of lake monitoring. In this study, we aim to evaluate the potential of Sentinel-2 to assess and monitor water constituents and bottom characteristics of lakes at spatio-temporal synoptic scales. In a field campaign at Lake Starnberg, Germany, we collected validation data concurrently to a Sentinel-2A (S2-A) overpass. We compared the results of three different atmospheric corrections, i.e. Sen2Cor, ACOLITE and MIP, with in situ reflectance measurements, whereof MIP performed best (r = 0.987, RMSE = 0.002 sr-1). Using the bio-optical modelling tool WASI-2D, we retrieved absorption by coloured dissolved organic matter (aCDOM(440)), backscattering and concentration of suspended particulate matter (SPM) in optically deep water; water depths, bottom substrates and aCDOM(440) were modelled in optically shallow water. In deep water, spatial patterns of SPM and aCDOM(440) were plausibleshowed reasonable spatial patterns. Comparisons with in situ data (mean: 0.43 m-1) showed an underestimation of S2-A derived aCDOM(440) (mean: 0.14 m-1); S2-A backscattering of SPM was slightly higher than backscattering from in situ data (mean: : 0.019 m-1 vs. 0.027 m-1 vs. 0.019 m-1). Chlorophyll-a concentrations (~1 mg m-3) of the lake were too low for a retrieval. In shallow water, retrieved water depths exhibited a high correlation with echo sounding data (r = 0.95, residual standard deviation = 0.12 m) up to 2.5 m (Secchi disk depth: 4.2 m), though water depths were slightly underestimated (RMSE = 0.56 m). In deeper water, Sentinel-2A bands were incapable to of allowing a WASI-2D based separation of macrophytes and sediment which led to erroneous water depths. Overall, the results encourage further research into study lakes with varying optical properties and trophic states with Sentinel-2A.

Item URL in elib:https://elib.dlr.de/107413/
Document Type:Article
Title:Water constituents and water depth retrieval from Sentinel-2A – a first evaluation in an oligotrophic lake
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dörnhöfer, Katjadoernhoefer (at) geographie.uni-kiel.deUNSPECIFIED
Göritz, AnnaTechnische Universität München - IGSSEUNSPECIFIED
Gege, Peterpeter.gege (at) dlr.deUNSPECIFIED
Pflug, Bringfriedbringfried.pflug (at) dlr.deUNSPECIFIED
Oppelt, NataschaUni KielUNSPECIFIED
Date:2016
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:8
DOI :10.3390/rs8110941
Page Range:pp. 1-25
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:WASI; atmospheric correction; bathymetry; submerged vegetation; sun glint; water quality; validation; inland waters; inverse modelling
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Spektrometrische Verfahren und Konzepte der Fernerkundung (old), R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Berlin-Adlershof , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Experimental Methods
Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Gege, Dr.rer.nat. Peter
Deposited On:08 Nov 2016 16:25
Last Modified:21 Nov 2019 05:04

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