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Remote Sens. 2018, 10(2), 352; https://doi.org/10.3390/rs10020352

Atmospheric Correction Inter-Comparison Exercise

1
SERCO SpA c/o European Space Agency ESA-ESRIN, Largo Galileo Galilei, 00044 Frascati, Italy
2
NASA/GSFC Code 619, Greenbelt, MD 20771, USA
3
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
4
European Space Agency ESA-ESRIN, Largo Galileo Galilei, 00044 Frascati, Italy
5
VITO, Boeretang 200, 2400 Mol, Belgium
6
Environmental Remote Sensing and Geoinformatics, Faculty of Regional and Environmental Sciences, Trier University, 54286 Trier, Germany
7
Centre d’études Spatiales de la Biosphère, CESBIO Unite mixte Université de Toulouse-CNES-CNRS-IRD, 18 Avenue E.Belin, 31401 Toulouse CEDEX 9, France
8
Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Section Remote Sensing, Telegrafenberg, 14473 Potsdam, Germany
9
Brockmann Consult GmbH, Max-Planck-Straße 2, 21502 Geesthacht, Germany
10
National Earth and Marine Observation Branch, Geoscience Australia, GPO Box 378, Canberra, ACT 2601, Australia
11
Telespazio France, SSA Business Unit (Satellite Systems & Applications), 31023 Toulouse CEDEX 1, France
12
ACRI-ST, 260 Route du Pin Montard, BP 234, 06904 Sophia-Antipolis CEDEX, France
13
Science Systems and Applications, Inc., 10210 Greenbelt Road, Suite 600, Lanham, MD 20706, USA
14
German Aerospace Center (DLR) Remote Sensing Technology Institute Photogrammetry and Image Analysis Rutherfordstraße 2, 12489 Berlin-Adlershof, Germany
15
Royal Belgian Institute for Natural Sciences (RBINS), Operational Directorate Natural Environment, 100 Gulledelle, 1200 Brussels, Belgium
Present address: Geomatics Lab, Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany.
*
Authors to whom correspondence should be addressed.
Received: 24 January 2018 / Revised: 16 February 2018 / Accepted: 20 February 2018 / Published: 24 February 2018
(This article belongs to the Special Issue Atmospheric Correction of Remote Sensing Data)
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Abstract

The 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. View Full-Text
Keywords: remote sensing; atmospheric correction; processors inter-comparison; surface reflectance; aerosol optical thickness; water vapour; Sentinel-2; Landsat-8 remote sensing; atmospheric correction; processors inter-comparison; surface reflectance; aerosol optical thickness; water vapour; Sentinel-2; Landsat-8
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Doxani, G.; Vermote, E.; Roger, J.-C.; Gascon, F.; Adriaensen, S.; Frantz, D.; Hagolle, O.; Hollstein, A.; Kirches, G.; Li, F.; Louis, J.; Mangin, A.; Pahlevan, N.; Pflug, B.; Vanhellemont, Q. Atmospheric Correction Inter-Comparison Exercise. Remote Sens. 2018, 10, 352.

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