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Atmospheric Correction Inter-Comparison Exercise

Doxani, Geogia and Vermote, Eric and Roger, Jean-Claude and Gascon, Ferran and Adriaensen, Stefan and Frantz, David and Hagolle, Olivier and Hollstein, Andre and Kirches, Grit and Li, Fuqin and Louis, Jérôme and Mangin, Antoine and Pahlevan, Nima and Pflug, Bringfried and Vanhellemont, Quinten (2018) Atmospheric Correction Inter-Comparison Exercise. Remote Sensing, 10 (352), pp. 1-18. Multidisciplinary Digital Publishing Institute (MDPI). DOI: doi:10.3390/rs10020352 ISSN 2072-4292

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Official URL: http://www.mdpi.com/2072-4292/10/2/352

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.

Item URL in elib:https://elib.dlr.de/119112/
Document Type:Article
Title:Atmospheric Correction Inter-Comparison Exercise
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Doxani, GeogiaESA-ESRINUNSPECIFIED
Vermote, EricNASAUNSPECIFIED
Roger, Jean-ClaudeNASAUNSPECIFIED
Gascon, FerranESA/ESRINUNSPECIFIED
Adriaensen, Stefanstefan.adriaensen (at) vito.beUNSPECIFIED
Frantz, DavidGeomatics Lab, Geography Department, Humboldt-Universität zu BerlinUNSPECIFIED
Hagolle, OlivierCNESUNSPECIFIED
Hollstein, AndreGFZ PotsdamUNSPECIFIED
Kirches, GritBrockmann ConsultUNSPECIFIED
Li, FuqinNational Earth and Marine Observation Branch, Geoscience AustraliaUNSPECIFIED
Louis, Jérômejerome.louis (at) telespazio.comUNSPECIFIED
Mangin, AntoineACRI-ST, FranceUNSPECIFIED
Pahlevan, NimaNASA, USAUNSPECIFIED
Pflug, BringfriedBringfried.Pflug (at) dlr.dehttps://orcid.org/0000-0002-4626-9393
Vanhellemont, QuintenRoyal Belgian Institute for Natural Sciences (RBINS)UNSPECIFIED
Date:23 February 2018
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:10
DOI :doi:10.3390/rs10020352
Page Range:pp. 1-18
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:remote sensing; atmospheric correction; processors inter-comparison; surface reflectance; aerosol optical thickness; water vapour; Sentinel-2; Landsat-8
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Berlin-Adlershof
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Zielske, Mandy
Deposited On:07 Mar 2018 09:15
Last Modified:21 Sep 2019 05:06

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