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Atmospheric Correction Inter-Comparison eXerciseThe Atmospheric Correction Inter-comparison eXercise (ACIX) is an international initiative with the aim to analyse the Surface Reflectance (SR) products of various state-of-the-art atmospheric correction (AC) processors. The Aerosol Optical Thickness (AOT) and Water Vapour (WV) are also examined in ACIX as additional outputs of AC processing. In this paper, the general ACIX framework is discussed; special mention is made of the motivation to initiate the experiment, the inter-comparison protocol, and the principal results. ACIX is free and open and every developer was welcome to participate. Eventually, 12 participants applied their approaches to various Landsat-8 and Sentinel-2 image datasets acquired over sites around the world. The current results diverge depending on the sensors, products, and sites, indicating their strengths and weaknesses. Indeed, this first implementation of processor inter-comparison was proven to be a good lesson for the developers to learn the advantages and limitations of their approaches. Various algorithm improvements are expected, if not already implemented, and the enhanced performances are yet to be assessed in future ACIX experiments.
Document ID
20180004824
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Doxani, Georgia
(European Space Agency. ESRIN Frascati, Italy)
Vermote, Eric
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Roger, Jean-Claude ORCID
(Maryland Univ. College Park, MD, United States)
Gascon, Ferran
(European Space Agency. ESRIN Frascati, Italy)
Adriaensen, Stefan
(Vlaamse Instelling voor Technologisch Onderzoek Mol, Belgium)
Frantz, David ORCID
(Trier Univ. Trier-Tarforst, Germany)
Hagolle, Olivier
(Centre National d'Etudes Spatiales (CNES) Toulouse, France)
Hollstein, André
(GFZ German Research Centre for Geosciences Potsdam, Germany)
Kirches, Grit
(Brockmann Consult Geesthacht, Germany)
Li, Fuqin
(Geoscience Australia Bruce, Australia)
Louis, Jerome ORCID
(Telespazio S.p.A. Rome, Italy)
Mangin, Antoine
(Sophia-Antipolis (ACRI-ST) Sophia Antipolis, France)
Pahleva, Nima
(Science Systems and Applications, Inc. Lanham, MD, United States)
Pflug, Bringfried ORCID
(Deutsches Zentrum fuer Luft- und Raumfahrt e.V. Berlin, Germany)
Vanhellmont, Quinten
(Institut Royal des Sciences Naturelles de Belgique Brussels, Belgium)
Date Acquired
August 30, 2018
Publication Date
February 24, 2018
Publication Information
Publication: Remote Sensing
Publisher: MDPI
Volume: 10
Issue: 2
e-ISSN: 2072-4292
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN58044
Report Number: GSFC-E-DAA-TN58044
E-ISSN: 2072-4292
Funding Number(s)
CONTRACT_GRANT: NNX17AJ63A
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
NASA Peer Committee
Keywords
Processors inter-comparison
Remote sensing
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