Correction of cirrus effects in Sentinel-2 type of imagery

被引:39
|
作者
Richter, Rudolf [1 ]
Wang, Xingjuan [1 ]
Bachmann, Martin [1 ]
Schlaepfer, Daniel [2 ]
机构
[1] German Remote Sensing Data Ctr, German Aerosp Ctr, D-82234 Wessling, Germany
[2] ReSe Applicat, CH-9500 Wil, Switzerland
关键词
AVIRIS; CLOUD;
D O I
10.1080/01431161.2010.520346
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Optical satellite images are often contaminated with cirrus clouds. Thin cirrus can be detected with a channel at 1.38m, and an established cirrus removal method exists for visible/near-infrared (VNIR) channels in atmospheric window regions, which was demonstrated with Moderate Resolution Imaging Spectrometer (MODIS) data. This contribution addresses open issues of cirrus correction for Sentinel-2 type of instruments, that is, 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 0.94m) and surface reflectance calculation to avoid reflectance artefacts at 0.94m, (ii) a discussion of options concerning cirrus removal in the short-wave infrared (SWIR, channels at 1.6 and 2.2m) region and (iii) an analysis of channel parallax (view angle) requirements to achieve a high-quality cirrus removal.
引用
收藏
页码:2931 / 2941
页数:11
相关论文
共 50 条
  • [1] IMPROVEMENT OF A CIRRUS CORRECTION EMPIRICAL METHOD WITH SENTINEL-2 DATA
    Salgado, Sandra
    Poutier, Laurent
    Mathieu, Sandrine
    Briottet, Xavier
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 5325 - 5328
  • [2] Atmospheric Correction Method for Sentinel-2 Satellite Imagery
    Su Wei
    Zhang Mingzheng
    Jiang Kunping
    Zhu Dehai
    Huang Jianxi
    Wang Pengxin
    ACTA OPTICA SINICA, 2018, 38 (01)
  • [3] Validation of an empirical method for thin cirrus correction with Sentinel-2 data
    Salgado, S.
    Poutier, L.
    Briottet, X.
    Mathieu, S.
    REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE XXIV, 2019, 11152
  • [4] CORRECTION OF THE BRDF EFFECTS ON SENTINEL-2 OCEAN IMAGES
    Kremezi, Maria
    Karathanassi, Vassilia
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 9010 - 9013
  • [5] Mapping Mediterranean seagrasses with Sentinel-2 imagery
    Traganos, Dimosthenis
    Reinartz, Peter
    MARINE POLLUTION BULLETIN, 2018, 134 : 197 - 209
  • [6] Comparison of Masking Algorithms for Sentinel-2 Imagery
    Zekoll, Viktoria
    Main-Knorn, Magdalena
    Louis, Jerome
    Frantz, David
    Richter, Rudolf
    Pflug, Bringfried
    REMOTE SENSING, 2021, 13 (01) : 1 - 21
  • [7] INTERPRETABLE SCENICNESS FROM SENTINEL-2 IMAGERY
    Levering, Alex
    Marcos, Diego
    Lobry, Sylvain
    Tuia, Devis
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 3983 - 3986
  • [8] Comparison of Physically and Image Based Atmospheric Correction Methods for Sentinel-2 Satellite Imagery
    Lantzanakis, G.
    Mitraka, Z.
    Chrysoulakis, N.
    PERSPECTIVES ON ATMOSPHERIC SCIENCES, 2017, : 255 - 261
  • [9] Automated Mosaicking of Sentinel-2 Satellite Imagery
    Shepherd, James D.
    Schindler, Jan
    Dymond, John R.
    REMOTE SENSING, 2020, 12 (22) : 1 - 14
  • [10] High-Resolution Sentinel-2 Imagery Correction Using BRDF Ensemble Model
    Moon, Hyun-Dong
    Kim, Bo-Kyeong
    Kim, Kyeong-Min
    Choi, Subin
    Jo, Euni
    Ahn, Hoyong
    Ryu, Jae-Hyun
    Choi, Sung-Won
    Cho, Jaeil
    KOREAN JOURNAL OF REMOTE SENSING, 2023, 39 (06) : 1427 - 1435