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Correction of cirrus effects in Sentinel-2 type of imagery

Richter, Rudolf and Wang, Xingjuan and Bachmann, Martin and Schläpfer, Daniel (2011) Correction of cirrus effects in Sentinel-2 type of imagery. International Journal of Remote Sensing, 32 (10), pp. 2931-2941. DOI: 10.1080/01431161.2010.520346.

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Optical satellite images are often contaminated with cirrus clouds. Thin cirrus can be detected with a channel at 1.38 µm, and an established cirrus removal method exists for visible/near-infrared (VNIR) channels in atmospheric window regions which was demonstrated with MODIS (Moderate Resolution Imaging Spectrometer) data. This contribution addresses open issues of cirrus correction for Sentinel-2 type of instruments, i.e., future spaceborne sensors such as Sentinel-2 or similar instruments. These issues are (i) an extension of the existing technique to account for cirrus during the water vapour retrieval (channel at 0.94 µm) and surface reflectance calculation to avoid reflectance artefacts at 0.94 µm, (ii) a discussion of options concerning cirrus removal in the short-wave infrared (SWIR, channels at 1.6 and 2.2 µm) region, and (iii) an analysis of channel parallax (view angle) requirements to achieve a high quality cirrus removal.

Document Type:Article
Title:Correction of cirrus effects in Sentinel-2 type of imagery
AuthorsInstitution or Email of Authors
Richter, Rudolfrudolf.richter@dlr.de
Wang, Xingjuanxingjuan.wang@dlr.de
Bachmann, Martinmartin.bachmann@dlr.de
Schläpfer, DanielReSe Applications
Journal or Publication Title:International Journal of Remote Sensing
Refereed publication:Yes
In Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 2931-2941
Keywords:Cirrus clouds, cirrus removal, Sentinel-2
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Anwendungen Erdbeobachtung - HGF-Kooperation EOS (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Dr.-Ing. Rudolf Richter
Deposited On:14 Jul 2011 13:23
Last Modified:22 Apr 2013 09:21

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