Evaluation of PRISMA and DESIS data for water quality mapping: a focus on PrimeWater project study areas
This study presents an overview of the potentialities of PRISMA and DESIS hyperspectral sensors with a focus on PrimeWater project basins . Firstly, Level 2 (L2) products, provided by the automatic processors of PRISMA (constantly being updated) and DESIS, were evaluated in terms of Remote sensing reflectance, considering imagery data representative of globally distributed inland and coastal waters. To perform this evaluation, hyperspectral satellite data were compared with insitu multispectral data provided by the global network AERONET-OC, and with multispectral satellite data provided by Sentinel-2 (S2) and Sentinel-3 OLCI. When the quality of L2 data was low and the statistical agreement with the reference measures was not good, an independent atmospheric correction process was also carried out using the scheme implemented in the ATCOR software. Subsequently, the capabilities of PRISMA and DESIS to retrieve water quality and bio-geochemical parameters were finally demonstrated in three out of four sites defined in PrimeWater project: Lake Mulargia (IT), Lake Hume (AU) and Lake Harsha (US). The bio-optical model BOMBER  was run for water quality parameters retrieval because of its good performances in a very wide range of water types. The maps of water quality obtained using PRISMA and DESIS products were compared with the ones provided by EOMAP and generated from S2 and Landsat 8 images, which are already providing unique data for monitoring in aquatic environments. In addition, a chromaticity analysis was performed in the tanks of the fourth site, Western Treatment Plant (WTP) (AU), a historically and culturally significant area that sustainably treats half of Melbourne’s wastewater which also serves as a thriving ecosystem. This analysis provided as output the dominant wavelength – divided into water colour categories using the Forel-Ule scale  – for each tank in the area.
PRISMA, DESIS, PrimeWater, Remote Sensing, AERONET-OC, Sentinel-2, Sentinel-3 OLCI, ATCOR software, water quality parameters, bio-geochemical parameters
Fabbretto A , Pellegrino A , Mangano S , Bresciani M , Pinardi M , Giardino C , Tzimas A. Italian Conference on Geomatics and Geospatial Technologies, Genova, Italy, 2021. pp. 201-202. https://doi.org/10.5194/egusphere-egu22-2209