TELQUEL project : Atmosphere and sunglint correction of Landsat-8 and Sentinel-2 data for water quality monitoring of lakes Bioindicators View project New tools to improve knowledge of nutrients fluxes entering and outgoing lakes View project - Archive ouverte HAL Access content directly
Conference Poster Year : 2017

TELQUEL project : Atmosphere and sunglint correction of Landsat-8 and Sentinel-2 data for water quality monitoring of lakes Bioindicators View project New tools to improve knowledge of nutrients fluxes entering and outgoing lakes View project

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Abstract

The main objective of the TELQUEL (TELédétection de la Qualité Ecologique des Lacs) project is to provide quantitative remotely sensed observations to monitor the ecological state of the French lakes. In this direction, MSI/Sentinel-2 and OLI/Landsat 8 data are exploited. However, the near-nadir viewing geometries of those satellites make them very vulnerable to sunglint contamination (i.e., sunlight reflected on the air-water interface). In the framework of the TELQUEL project, an original method was developed to correct for the sunglint the decameter scale imageries of Landsat and Sentinel-2 based on exploitation of the SWIR bands (e.g. 1.6 and 2.2 µm). Acknowledgements:
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Dates and versions

hal-02993024 , version 1 (06-11-2020)

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Tristan Harmel, Malik Chami, Thierry Tormos, Pierre-Alain Danis. TELQUEL project : Atmosphere and sunglint correction of Landsat-8 and Sentinel-2 data for water quality monitoring of lakes Bioindicators View project New tools to improve knowledge of nutrients fluxes entering and outgoing lakes View project. Third International Ocean Colour Science (IOCS) meeting, May 2017, Lisbon, Portugal. 2017, ⟨10.13140/RG.2.2.13244.95369⟩. ⟨hal-02993024⟩
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