Abstract
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.
Highlights
Hyperspectral imaging for water applications has gained force in the last years with the launch of new hyperspectral missions as DESIS and PRISMA and with the upcoming EnMAP and PACE missions (Giargino et al 2020, Dierssen et al 2021)
DESIS has the strength of the high spectral and spatial resolution; Sentinel-2 MultiSpectral Instrument (S2-MSI) has a better temporal resolution than DESIS combined with high spatial resolution
The DESIS chlorophyll-a products at the Venice Bay for a scene acquired in 04.10.2018 showed consistent spatial distribution and concentration (Figure 3)
Summary
Hyperspectral imaging for water applications has gained force in the last years with the launch of new hyperspectral missions as DESIS and PRISMA and with the upcoming EnMAP and PACE missions (Giargino et al 2020, Dierssen et al 2021). The hyperspectral data combined with high spatial resolution opens new chances to explore water colour satellite data and develop new products for inland and coastal regions. An example of this potential synergistic use of data from the different sensors is presented, when at the same day there were overflights of DESIS, S2B and S3B sensors at Lake Constance. DESIS has the strength of the high spectral and spatial resolution; S2-MSI has a better temporal resolution than DESIS combined with high spatial resolution. S3-OLCI provides the most suitable data for water colour applications of all three sensors in terms of signal-to-noise ratio and temporal coverage.
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