Version 1
: Received: 5 January 2024 / Approved: 8 January 2024 / Online: 8 January 2024 (11:15:52 CET)
How to cite:
Kokhanovsky, A.; Brell, M.; Segl, K.; Chabriallat, S. SNOWTRAN: A Fast UV-VNIR-SWIR Radiative Transfer Model for Polar Hyperspectral Remote Sensing Applications. Preprints2024, 2024010559. https://doi.org/10.20944/preprints202401.0559.v1
Kokhanovsky, A.; Brell, M.; Segl, K.; Chabriallat, S. SNOWTRAN: A Fast UV-VNIR-SWIR Radiative Transfer Model for Polar Hyperspectral Remote Sensing Applications. Preprints 2024, 2024010559. https://doi.org/10.20944/preprints202401.0559.v1
Kokhanovsky, A.; Brell, M.; Segl, K.; Chabriallat, S. SNOWTRAN: A Fast UV-VNIR-SWIR Radiative Transfer Model for Polar Hyperspectral Remote Sensing Applications. Preprints2024, 2024010559. https://doi.org/10.20944/preprints202401.0559.v1
APA Style
Kokhanovsky, A., Brell, M., Segl, K., & Chabriallat, S. (2024). SNOWTRAN: A Fast UV-VNIR-SWIR Radiative Transfer Model for Polar Hyperspectral Remote Sensing Applications. Preprints. https://doi.org/10.20944/preprints202401.0559.v1
Chicago/Turabian Style
Kokhanovsky, A., Karl Segl and Sabine Chabriallat. 2024 "SNOWTRAN: A Fast UV-VNIR-SWIR Radiative Transfer Model for Polar Hyperspectral Remote Sensing Applications" Preprints. https://doi.org/10.20944/preprints202401.0559.v1
Abstract
In this work, we develop a software suite for studies of atmosphere – underlying SNOW- spaceborne optical receiver light TRANsmission calculations (SNOWTRAN) with applications for the solution of forward and inverse radiative transfer problems in polar regions. Assuming that aerosol load is extremely low, the proposed theory does not require the numerical procedures for the solution of the radiative transfer equation and is based on analytical equations for the spectral nadir reflectance and simple approximations for local optical properties of atmosphere and snow. The model developed is validated using EnMAP and PRISMA spaceborne imaging spectroscopy data close to the Concordia research station in Antarctica. A new fast technique for the determination of the snow grain size and assessment of the snowpack vertical inhomogeneity is then proposed and further demonstrated on EnMAP imagery over the Aviator Glacier and in the vicinity of the Concordia research station in Antarctica. The results revealed a large increase in precipitable water vapor at the Concordia research station in February 2023 linked to warming event, and a 4 times larger grain size at Aviator Glacier compared to Dome C.
Keywords
remote sensing; snow; radiative transfer
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
