Frontiers in Environmental Science (Sep 2022)

Snow surface properties derived from PRISMA satellite data over the Nansen Ice Shelf (East Antarctica)

  • Alexander Kokhanovsky,
  • Alexander Kokhanovsky,
  • Biagio Di Mauro,
  • Roberto Colombo

DOI
https://doi.org/10.3389/fenvs.2022.904585
Journal volume & issue
Vol. 10

Abstract

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In this paper, we made use of PRISMA imaging spectroscopy data for retrieving surface snow properties in the Nansen Ice Shelf (East Antarctica). PRISMA satellite mission has been launched in 2019 and it features 239 spectral bands covering the 400-2500 nm interval. These data are promising for cryospheric applications, since several snow and ice parameters can be derived from reflectance in the Visible Near InfraRed - Short Wave InfraRed (VNIR-SWIR) wavelength interval. Here we analyze, for the first time, PRISMA data collected in Antarctica. Our scene was acquired on December 2020 over the Nansen Ice Shelf (NIS). Using PRISMA data we estimated various snow parameters (effective grain diameter, snow specific surface area, snow spectral and broadband albedo, bottom of atmosphere snow reflectance, type of impurities in snow and their concentration), and we compared them with data presented in the scientific literature.

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