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  • Article
  • Open Access
219 Citations
19,669 Views
18 Pages
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Atmospheric Correction Inter-Comparison Exercise

  • Georgia Doxani,
  • Eric Vermote,
  • Jean-Claude Roger,
  • Ferran Gascon,
  • Stefan Adriaensen,
  • David Frantz,
  • Olivier Hagolle,
  • André Hollstein,
  • Grit Kirches and
  • Quinten Vanhellemont
  • + 5 authors
Remote Sens.2018, 10(2), 352;https://doi.org/10.3390/rs10020352

24 February 2018

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...

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  • Article
  • Open Access
1,709 Views
48 Pages
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Atmospheric Correction Inter-Comparison eXercise, ACIX-III Land: An Assessment of Atmospheric Correction Processors for EnMAP and PRISMA over Land

  • Noelle Cremer,
  • Kevin Alonso,
  • Georgia Doxani,
  • Adam Chlus,
  • David R. Thompson,
  • Philip Brodrick,
  • Philip A. Townsend,
  • Angelo Palombo,
  • Federico Santini and
  • Ferran Gascon
  • + 13 authors
Remote Sens.2025, 17(23), 3790;https://doi.org/10.3390/rs17233790

21 November 2025

Correcting atmospheric effects on hyperspectral optical satellite scenes is paramount to ensuring the accuracy of derived bio-geophysical products. The open-access benchmark Atmospheric Correction Inter-comparison eXercise (ACIX) was first initiated...

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  • Article
  • Open Access
12 Citations
4,159 Views
16 Pages
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Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance Estimates

  • Jérôme Colin,
  • Olivier Hagolle,
  • Lucas Landier,
  • Sophie Coustance,
  • Peter Kettig,
  • Aimé Meygret,
  • Julien Osman and
  • Eric Vermote
Remote Sens.2023, 15(10), 2665;https://doi.org/10.3390/rs15102665

19 May 2023

The correction of atmospheric effects on optical remote sensing products is an essential component of Analysis Ready Data (ARD) production lines. The MAJA processor aims at providing accurate time series of surface reflectances over land for satellit...

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  • Article
  • Open Access
48 Citations
8,824 Views
25 Pages
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Inter-Comparison of Methods for Chlorophyll-a Retrieval: Sentinel-2 Time-Series Analysis in Italian Lakes

  • Milad Niroumand-Jadidi,
  • Francesca Bovolo,
  • Lorenzo Bruzzone and
  • Peter Gege
Remote Sens.2021, 13(12), 2381;https://doi.org/10.3390/rs13122381

18 June 2021

Different methods are available for retrieving chlorophyll-a (Chl-a) in inland waters from optical imagery, but there is still a need for an inter-comparison among the products. Such analysis can provide insights into the method selection, integratio...

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  • Technical Note
  • Open Access
49 Citations
16,461 Views
17 Pages
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Comparison of SNAP-Derived Sentinel-2A L2A Product to ESA Product over Europe

  • Najib Djamai and
  • Richard Fernandes
Remote Sens.2018, 10(6), 926;https://doi.org/10.3390/rs10060926

12 June 2018

Sentinel-2 is a constellation of two satellites launched by the European Space Agency (ESA), respectively on 23 June 2015 and 7 March 2017, to map geophysical parameters over land surfaces. ESA provides Level 2 bottom-of-atmosphere reflectance (BOA)...

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  • Article
  • Open Access
1 Citations
3,248 Views
13 Pages
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Retrieval of Water Vapour Profiles from GLORIA Nadir Observations

  • Nils König,
  • Gerald Wetzel,
  • Michael Höpfner,
  • Felix Friedl-Vallon,
  • Sören Johansson,
  • Anne Kleinert,
  • Matthias Schneider,
  • Benjamin Ertl and
  • Jörn Ungermann
Remote Sens.2021, 13(18), 3675;https://doi.org/10.3390/rs13183675

14 September 2021

We present the first analysis of water vapour profiles derived from nadir measurements by the infrared imaging Fourier transform spectrometer GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere). The measurements were performed on...

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  • Article
  • Open Access
2,328 Views
27 Pages
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System for Analysis of Wind Collocations (SAWC): A Novel Archive and Collocation Software Application for the Intercomparison of Winds from Multiple Observing Platforms

  • Katherine E. Lukens,
  • Kevin Garrett,
  • Kayo Ide,
  • David Santek,
  • Brett Hoover,
  • David Huber,
  • Ross N. Hoffman and
  • Hui Liu
Meteorology2024, 3(1), 114-140;https://doi.org/10.3390/meteorology3010006

7 March 2024

Accurate atmospheric 3D wind observations are one of the top priorities for the global scientific community. To address this requirement, and to support researchers’ needs to acquire and analyze wind data from multiple sources, the System for A...

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  • Article
  • Open Access
67 Citations
13,654 Views
35 Pages
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Assessment of Leaf Area Index Models Using Harmonized Landsat and Sentinel-2 Surface Reflectance Data over a Semi-Arid Irrigated Landscape

  • Roya Mourad,
  • Hadi Jaafar,
  • Martha Anderson and
  • Feng Gao
Remote Sens.2020, 12(19), 3121;https://doi.org/10.3390/rs12193121

23 September 2020

Leaf area index (LAI) is an essential indicator of crop development and growth. For many agricultural applications, satellite-based LAI estimates at the farm-level often require near-daily imagery at medium to high spatial resolution. The combination...

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