Details
Original language | English |
---|---|
Article number | 334 |
Number of pages | 22 |
Journal | Remote sensing |
Volume | 16 |
Issue number | 2 |
Publication status | Published - 14 Jan 2024 |
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 the 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 the local optical properties of atmosphere and snow. The developed model 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 that was linked to a warming event and a four times larger grain size at Aviator Glacier compared with Dome C.
Keywords
- EnMAP, hyperspectral measurements, PRISMA, snow albedo, snow grain size, snow optics, top-of-atmosphere reflectance
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- General Earth and Planetary Sciences
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In: Remote sensing, Vol. 16, No. 2, 334, 14.01.2024.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - SNOWTRAN
T2 - A Fast Radiative Transfer Model for Polar Hyperspectral Remote Sensing Applications
AU - Kokhanovsky, Alexander
AU - Brell, Maximilian
AU - Segl, Karl
AU - Chabrillat, Sabine
N1 - Funding Information: This research has been funded by the EnMAP science program under the Space Agency at DLR with resources from the German Federal Ministry of Economic Affairs and Climate Action (grant number 50EE1923).
PY - 2024/1/14
Y1 - 2024/1/14
N2 - 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 the 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 the local optical properties of atmosphere and snow. The developed model 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 that was linked to a warming event and a four times larger grain size at Aviator Glacier compared with Dome C.
AB - 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 the 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 the local optical properties of atmosphere and snow. The developed model 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 that was linked to a warming event and a four times larger grain size at Aviator Glacier compared with Dome C.
KW - EnMAP
KW - hyperspectral measurements
KW - PRISMA
KW - snow albedo
KW - snow grain size
KW - snow optics
KW - top-of-atmosphere reflectance
UR - http://www.scopus.com/inward/record.url?scp=85183315047&partnerID=8YFLogxK
U2 - 10.3390/rs16020334
DO - 10.3390/rs16020334
M3 - Article
AN - SCOPUS:85183315047
VL - 16
JO - Remote sensing
JF - Remote sensing
SN - 2072-4292
IS - 2
M1 - 334
ER -