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Haze compensation and atmospheric correction for Sentinel-2 data

Makarau, Aliaksei and Richter, Rudolf and Zekoll, Viktoria and Reinartz, Peter (2016) Haze compensation and atmospheric correction for Sentinel-2 data. In: Geophysical Research Abstracts. Copernicus. EGU 2016, 19-21 April 2016, Wien, Österreich.

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Official URL: http://meetingorganizer.copernicus.org/EGU2016/EGU2016-5766.pdf


Sentinel-2 data bring the opportunity to analyze landcover at a high spatial accuracy together with a wide swath. Nevertheless, the high data volume requires a per granule analysis. This may lead to border effect (difference in the radiance/reflectance value) between the neighboring granules during atmospheric correction. If there is a high variation of the aerosol optical thickness (AOT) across the granules, especially in case of haze, the atmospherically corrected mosaicked products often show granule border effects. To overcome this artifact a dehazing prior the atmospheric correction is performed. The dehazing compensates only for the haze thickness keeping the AOT fraction for further estimation and compensation in the atmospheric correction chain. This approach results in a smoother AOT map estimate and a corresponding bottom of atmosphere (BOA) reflectance with no border artifact. Digital elevation model (DEM) is employed allowing a better labeling of haze and a higher accuracy of the dehazing. The DEM analysis rejects high elevation areas where bright surfaces might erroneously be classified as haze, thus reducing the probability of misclassification. An example of a numeric evaluation of the atmospheric correction products (AOT and BOA reflectance) is given. It demonstrates a smooth transition between the granules in the AOT map leading to the proper estimate of the BOA reflectance data. The dehazing and atmospheric correction are implemented in the DLR's ATCOR software.

Item URL in elib:https://elib.dlr.de/104379/
Document Type:Conference or Workshop Item (Poster)
Title:Haze compensation and atmospheric correction for Sentinel-2 data
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Makarau, AliakseiAliaksei.Makarau (at) dlr.deUNSPECIFIED
Richter, Rudolfrudolf.richter (at) dlr.deUNSPECIFIED
Zekoll, Viktoriaviktoria.zekoll (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:20 April 2016
Journal or Publication Title:Geophysical Research Abstracts
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Sentinel-2, atmospheric correction, haze
Event Title:EGU 2016
Event Location:Wien, Österreich
Event Type:international Conference
Event Dates:19-21 April 2016
Organizer:European Geosciences Union
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 hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Makarau, Aliaksei
Deposited On:26 May 2016 08:36
Last Modified:31 Jul 2019 20:01

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