Atmospheric Correction Inter-comparison eXercise, ACIX-II Land: An assessment of atmospheric correction processors for Landsat 8 and Sentinel-2 over land-Reference-Cited by-同舟云学术

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Atmospheric Correction Inter-comparison eXercise, ACIX-II Land: An assessment of atmospheric correction processors for Landsat 8 and Sentinel-2 over land

Published:2023-02 Issue: Volume:285 Page:113412
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Doxani Georgia,Vermote Eric F.,Roger Jean-Claude,Skakun Sergii,Gascon Ferran,Collison Alan,De Keukelaere Liesbeth,Desjardins Camille,Frantz David,Hagolle Olivier,Kim Minsu,Louis Jérôme,Pacifici Fabio,Pflug Bringfried,Poilvé Hervé,Ramon Didier,Richter Rudolf,Yin Feng

Funder

Centre National d’Etudes Spatiales

U.S. Geological Survey

National Physical Laboratory

European Space Agency

National Centre for Earth Observation

University College Cork

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference36 articles.

1. RadCalNet: A radiometric calibration network for Earth observing imagers operating in the visible to shortwave infrared spectral range;Bouvet;Remote Sens.,2019

2. A comparison between two radiative transfer models for atmospheric correction over a wide range of wavelengths;Callieco;Int. J. Remote Sens.,2011

3. Evaluation of the Landsat-5 TM and Landsat-7 ETM+ surface reflectance products;Claverie;Remote Sens. Environ.,2015

4. Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters;De Keukelaere;Eur. J. Remote Sens.,2018

5. Atmospheric correction inter-comparison exercise;Doxani;Remote Sens.,2018

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