SNOWTRAN: A Fast Radiative Transfer Model for Polar Hyperspectral Remote Sensing Applications

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dc.identifier.uri http://dx.doi.org/10.15488/16810
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/16937
dc.contributor.author Kokhanovsky, Alexander
dc.contributor.author Brell, Maximilian
dc.contributor.author Segl, Karl
dc.contributor.author Chabrillat, Sabine
dc.date.accessioned 2024-03-27T07:47:12Z
dc.date.available 2024-03-27T07:47:12Z
dc.date.issued 2024
dc.identifier.citation Kokhanovsky, A.; Brell, M.; Segl, K.; Chabrillat, S.: SNOWTRAN: A Fast Radiative Transfer Model for Polar Hyperspectral Remote Sensing Applications. In: Remote Sensing 16 (2024), Nr. 2, 334. DOI: https://doi.org/10.3390/rs16020334
dc.description.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. eng
dc.language.iso eng
dc.publisher Basel : MDPI
dc.relation.ispartofseries Remote Sensing 16 (2024), Nr. 2
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0
dc.subject EnMAP eng
dc.subject hyperspectral measurements eng
dc.subject PRISMA eng
dc.subject snow albedo eng
dc.subject snow grain size eng
dc.subject snow optics eng
dc.subject top-of-atmosphere reflectance eng
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau
dc.title SNOWTRAN: A Fast Radiative Transfer Model for Polar Hyperspectral Remote Sensing Applications eng
dc.type Article
dc.type Text
dc.relation.essn 2072-4292
dc.relation.doi https://doi.org/10.3390/rs16020334
dc.bibliographicCitation.issue 2
dc.bibliographicCitation.volume 16
dc.bibliographicCitation.firstPage 334
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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