Literature DB >> 32704392

Atmospheric Correction Inter-comparison eXercise.

Georgia Doxani1, Eric Vermote2, Jean-Clause Roger2,3, Ferran Gascon4, Stefan Adriaensen5, David Frantz6, Olivier Hagolle7, André Hollstein8, Grit Kirches9, Fuqin Li10, Jerome Louis11, Antoine Mangin12, Nima Pahleva2,13, Bringfried Pflug14, Quinten Vanhellmont15.   

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 an AC processing. In this paper, the general ACIX framework is discussed; special mention is made of the motivation to initiate this challenge, 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 investigated in future ACIX experiments.

Entities:  

Keywords:  Landsat-8; Sentinel-2; aerosol optical thickness; atmospheric correction; processors inter-comparison; remote sensing; surface reflectance; water vapour

Year:  2018        PMID: 32704392      PMCID: PMC7376715          DOI: 10.3390/rs10020352

Source DB:  PubMed          Journal:  Remote Sens (Basel)        ISSN: 2072-4292            Impact factor:   4.848


  5 in total

1.  Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part I: path radiance.

Authors:  Svetlana Y Kotchenova; Eric F Vermote; Raffaella Matarrese; Frank J Klemm
Journal:  Appl Opt       Date:  2006-09-10       Impact factor: 1.980

2.  Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part II. Homogeneous Lambertian and anisotropic surfaces.

Authors:  Svetlana Y Kotchenova; Eric F Vermote
Journal:  Appl Opt       Date:  2007-07-10       Impact factor: 1.980

3.  Correction of satellite imagery over mountainous terrain.

Authors:  R Richter
Journal:  Appl Opt       Date:  1998-06-20       Impact factor: 1.980

4.  Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product.

Authors:  Eric Vermote; Chris Justice; Martin Claverie; Belen Franch
Journal:  Remote Sens Environ       Date:  2016-04-28       Impact factor: 10.164

5.  A 30+ year AVHRR Land Surface Reflectance Climate Data Record and its application to wheat yield monitoring.

Authors:  Belen Franch; Eric F Vermote; Jean-Claude Roger; Emilie Murphy; Inbal Becker-Reshef; Chris Justice; Martin Claverie; Jyoteshwar Nagol; Ivan Csiszar; Dave Meyer; Frederic Baret; Edward Masuoka; Robert Wolfe; Sadashiva Devadiga
Journal:  Remote Sens (Basel)       Date:  2017-03-21       Impact factor: 4.848

  5 in total
  5 in total

1.  Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data.

Authors:  José Estévez; Jorge Vicent; Juan Pablo Rivera-Caicedo; Pablo Morcillo-Pallarés; Francesco Vuolo; Neus Sabater; Gustau Camps-Valls; José Moreno; Jochem Verrelst
Journal:  ISPRS J Photogramm Remote Sens       Date:  2020-09       Impact factor: 11.774

2.  Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data.

Authors:  José Estévez; Matías Salinero-Delgado; Katja Berger; Luca Pipia; Juan Pablo Rivera-Caicedo; Matthias Wocher; Pablo Reyes-Muñoz; Giulia Tagliabue; Mirco Boschetti; Jochem Verrelst
Journal:  Remote Sens Environ       Date:  2022-03-04       Impact factor: 13.850

3.  Assessment of Workflow Feature Selection on Forest LAI Prediction with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI.

Authors:  Benjamin Brede; Jochem Verrelst; Jean-Philippe Gastellu-Etchegorry; Jan G P W Clevers; Leo Goudzwaard; Jan den Ouden; Jan Verbesselt; Martin Herold
Journal:  Remote Sens (Basel)       Date:  2020-03-12       Impact factor: 5.349

4.  Rising dissolved organic carbon concentrations in coastal waters of northwestern Borneo related to tropical peatland conversion.

Authors:  Nivedita Sanwlani; Chris D Evans; Moritz Müller; Nagur Cherukuru; Patrick Martin
Journal:  Sci Adv       Date:  2022-04-13       Impact factor: 14.136

5.  National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series.

Authors:  David Frantz; Franz Schug; Akpona Okujeni; Claudio Navacchi; Wolfgang Wagner; Sebastian van der Linden; Patrick Hostert
Journal:  Remote Sens Environ       Date:  2021-01       Impact factor: 10.164

  5 in total

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