Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters-Reference-Cited by-同舟云学术

Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters

Published:2018-01-01 Issue:1 Volume:51 Page:525-542
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

De Keukelaere L.¹,Sterckx S.¹,Adriaensen S.¹,Knaeps E.¹,Reusen I.¹,Giardino C.²,Bresciani M.²,Hunter P.³,Neil C.³,Van der Zande D.⁴,Vaiciute D.⁵

Affiliation:

1. Remote Sensing group, Vlaams Instituut voor Technologisch Onderzoek (VITO), Mol, Belgium

2. Optical Remote Sensing group, Consiglio Nazionale delle Ricerche – Instituto per il rilevamento elettromagnetico dell’ambiente (CNR-IREA), Milan, Italy

3. Biological and Environmental Sciences, School of Natural Sciences, University of Stirling, Stirling, UK

4. Operational Directorate Natural Environments, Royal Belgian Institute of Natural Sciences (RBINS), Brussels, Belgium

5. Coastal Research and Planning Institute, Marine Science and Technology Centre, University of Klaipeda, Klaipeda, Lithuania

Funder

European Space Agency

FP7 Ideas: European Research Council

Federaal Wetenschapsbeleid

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2018.1457937

Reference61 articles.

1. MODTRAN5: 2006 update

2. Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality

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