First Retrievals of Surface and Atmospheric Properties Using EnMAP Measurements over Antarctica

Year: 2023

Authors: Kokhanovsky AA., Brell M., Segl K., Bianchini G., Lanconelli C., Lupi A., Petkov B., Picard G., Arnaud L., Stone RS., Chabrillat S.

Autors Affiliation: German Res Ctr Geosci, Telegrafenberg, D-14473 Potsdam, Germany; Natl Inst Opt INO CNR, Via Madonna Piano 10, I-50019 Sesto Fiorentino, Italy; Uni Syst Italy, Via Michelangelo Buonarroti 39, I-20145 Milan, Italy; Inst Polar Sci ISP CNR, Via P Gobetti 101, I-40129 Bologna, Italy; Univ G dAnnunzio, Dept Adv Technol Med & Dent, Via Vestini 30, I-66100 Pescara, Chieti, Italy; Univ Grenoble Alps, CNRS, INRAE, IRD,Grenoble INP,IGE, F-38000 Grenoble, France; Univ Colorado, Cooperat Inst Res Environm Sci, 216 UCB, Boulder, CO 80309 USA; Leibniz Univ Hannover, Inst Soil Sci, Herrenhauser Str 2, D-30419 Hannover, Germany.

Abstract: The paper presents the first retrievals of clean snow properties using spaceborne hyperspectral observations via the Environmental Mapping and Analysis Program (EnMAP). The location close to the Concordia station at the Dome C Plateau (Antarctica) was selected. At this location, the atmospheric effects (except molecular light scattering and absorption) are weak, and the simplified atmospheric correction scheme could be applied. The ice grain size, snow specific surface area, and snow spectral and broadband albedos were retrieved using single-view EnMAP measurements. In addition, we propose a technique to retrieve trace gas concentrations (e.g., water vapor and ozone) from EnMAP observations over the snow surfaces. A close correspondence of satellite and ground-measured parameters was found.

Journal/Review: REMOTE SENSING

Volume: 15 (12)      Pages from: 3042-1  to: 3042-21

KeyWords: snow remote sensing; radiative transfer; light scattering; ice grain size; snow albedo
DOI: 10.3390/rs15123042

Citations: 4
data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2024-10-20
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