Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Alexander Kokhanovsky"'
Autor:
Alexander Kokhanovsky, Maximilian Brell, Karl Segl, Dmitry Efremenko, Boyan Petkov, Giovanni Bianchini, Robert Stone, Sabine Chabrillat
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
The two-LAyered snow Radiative Transfer (LART) model has been proposed for snow remote sensing applications. It is based on analytical approximations of the radiative transfer theory. The geometrical optics approximation has been used to derive the l
Externí odkaz:
https://doaj.org/article/334c401f465247c9a00231d1c6ff2dce
Autor:
Donghang Shao, Hongyi Li, Alexander Kokhanovsky, Wenzheng Ji, Xinyue Zhong, Haojie Li, Hongxing Li, Xiaohua Hao
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7903-7917 (2024)
Dust deposited on the surface of snow and glaciers can significantly reduce the snow and ice albedo and accelerate melting. Manual observations of the dust mass concentration (DMC) on snow and glacier surfaces are routinely performed at many location
Externí odkaz:
https://doaj.org/article/46a708bf5788451db97ec9c709ae6041
Autor:
Alexander Kokhanovsky
Publikováno v:
Environmental Sciences Proceedings, Vol 29, Iss 1, p 85 (2024)
The 5th International Electronic Conference on Remote Sensing, with a focus on “Advances in experimental and theoretical studies of the terrestrial atmosphere and underlying surface” was held on 7–21 November 2023 [...]
Externí odkaz:
https://doaj.org/article/c04a0626fff046c7a5bbc82447147aaa
Autor:
Alexander Kokhanovsky
Publikováno v:
Environmental Sciences Proceedings, Vol 29, Iss 1, p 84 (2024)
In submitting conference proceedings to Environmental Sciences Proceedings, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors
Externí odkaz:
https://doaj.org/article/7a838a3e45cb40e7b98dfda04ef8bf0f
Autor:
Anxin Ding, Ziti Jiao, Alexander Kokhanovsky, Xiaoning Zhang, Jing Guo, Ping Zhao, Mingming Zhang, Hailan Jiang, Kaijian Xu
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2119 (2024)
The latest versions of the Ross-Li model include kernels that represent isotropic reflection of the surface, describe backward reflection of soil and vegetation systems, characterize strong forward reflection of snow, and adequately consider the hots
Externí odkaz:
https://doaj.org/article/e30151c94c6640ce9897e66a31e93792
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 334 (2024)
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 pola
Externí odkaz:
https://doaj.org/article/f20a6013d54b4fef82e254b42cdc8535
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
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 400-25
Externí odkaz:
https://doaj.org/article/cfaff527319a46778e3068b2947bc455
Autor:
Alexander Kokhanovsky, Baptiste Vandecrux, Adrien Wehrlé, Olaf Danne, Carsten Brockmann, Jason E. Box
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 77 (2022)
We present an update of the Snow and Ice (SICE) property retrieval algorithm based on the spectral measurements of Ocean and Land Color Instrument (OLCI) onboard Sentinel-3 satellites combined with the asymptotic radiative transfer theory valid for w
Externí odkaz:
https://doaj.org/article/f0c3c045f23b479c8267b13d0111875a
Autor:
Alexander Kokhanovsky
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4778 (2022)
The analytical solutions of the radiative transfer equation are needed for the solution of various applied atmospheric and snow optics problems. In this paper, we propose a simple analytical equation for the top-of-atmosphere (TOA) spectral reflectan
Externí odkaz:
https://doaj.org/article/05b2b740faae48ff94514aa4fe1d1377
Publikováno v:
Remote Sensing, Vol 14, Iss 10, p 2344 (2022)
The severity of wildfires is increasing globally. In this study, we used data from the Global Change Observation Mission-Climate/Second-generation Global Imager (GCOM-C/SGLI) to characterize the biomass burning aerosols that are generated by large-sc
Externí odkaz:
https://doaj.org/article/98dd6311e2ec462daf7142a7a34532d0