NANO Alumnus Dieu Anh Dinh and colleagues published the following conference paper in the Remote Sens. Spatial Inf. Sci.

Intercomparison Of Desis, Sentinel-2 (Msi) And Sentinel-3 (Olci) Data for Water Colour Applications

Soppa et al. (2022), Remote Sens. Spatial Inf. Sci.. DOI 10.5194/isprs-archives-XLVI-1-W1-2021-69-2022

Abstract

In this work, we investigate the potential of DESIS hyperspectral data for water colour applications as preparation for the exploitation of data from the future EnMAP mission. We show results on the intercomparison of Level 2 data of the DESIS sensor, Sentinel-2 MultiSpectral Instrument (S2-MSI) and Sentinel-3 Ocean and Land Colour Instrument (S3-OLCI) processed with the Polymer atmospheric correction. Examples of mapping of water quality parameters in inland and coastal waters is provided for different ecosystems (e.g. lagoon, clear lakes, estuaries). First results of Polymer applied to DESIS data at different study regions show similar spatial distribution of chlorophyll-a concentration (Chl-a) to S2-MSI and S3-OLCI.

Key Words:

  • hyperspectral,
  • multispectral,
  • atmospheric correction,
  • inland waters,
  • coastal waters

Link for the publication here

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