Passive L-Band Remote Sensing Applications Over Cryospheric Regions ...
The Earth’s climate and its evolution are heavily influenced by the state of cryosphere snow cover and its subnivean ground through their determinative role in the exchange of water, heat, and greenhouse gases between land and the atmosphere. Previous research has shown that L-band radiometry can be...
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ftdatacite:10.3929/ethz-b-000345500 2024-04-28T08:35:59+00:00 Passive L-Band Remote Sensing Applications Over Cryospheric Regions ... Naderpour, Reza 2019 application/pdf https://dx.doi.org/10.3929/ethz-b-000345500 http://hdl.handle.net/20.500.11850/345500 en eng ETH Zurich info:eu-repo/semantics/openAccess Creative Commons Attribution Non Commercial Share Alike 4.0 International https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode cc-by-nc-sa-4.0 Microwave remote sensing Snowpack monitoring Freeze–thaw Permafrost snow liquid water content L-band radiometry Climate Change LS-MEMLS geophysical noise infoeu-repo/classification/ddc/550 Earth sciences Text thesis Dissertation Thesis 2019 ftdatacite https://doi.org/10.3929/ethz-b-000345500 2024-04-02T12:34:54Z The Earth’s climate and its evolution are heavily influenced by the state of cryosphere snow cover and its subnivean ground through their determinative role in the exchange of water, heat, and greenhouse gases between land and the atmosphere. Previous research has shown that L-band radiometry can be used for the estimation of snow mass density rho_S and ground permittivity epsilon_G. In this thesis an unprecedented approach for the estimation of snow liquid water content (wetness) and the beginning of snow melt, using L-band radiometry and the L-band Specific Microwave Emission Model of Layered Snowpack (LS–MEMLS), is proposed. Two snow wetness retrieval data products are computed using tower-based radiometry over snow-covered natural ground and areas with a metal grid placed on the ground beneath the accumulating snow. It is experimentally demonstrated that the metal grid isolates snowpack’s own emission from the emission of the underlying ground. This allows considering the snow wetness retrievals derived ... Text permafrost DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Microwave remote sensing Snowpack monitoring Freeze–thaw Permafrost snow liquid water content L-band radiometry Climate Change LS-MEMLS geophysical noise infoeu-repo/classification/ddc/550 Earth sciences |
spellingShingle |
Microwave remote sensing Snowpack monitoring Freeze–thaw Permafrost snow liquid water content L-band radiometry Climate Change LS-MEMLS geophysical noise infoeu-repo/classification/ddc/550 Earth sciences Naderpour, Reza Passive L-Band Remote Sensing Applications Over Cryospheric Regions ... |
topic_facet |
Microwave remote sensing Snowpack monitoring Freeze–thaw Permafrost snow liquid water content L-band radiometry Climate Change LS-MEMLS geophysical noise infoeu-repo/classification/ddc/550 Earth sciences |
description |
The Earth’s climate and its evolution are heavily influenced by the state of cryosphere snow cover and its subnivean ground through their determinative role in the exchange of water, heat, and greenhouse gases between land and the atmosphere. Previous research has shown that L-band radiometry can be used for the estimation of snow mass density rho_S and ground permittivity epsilon_G. In this thesis an unprecedented approach for the estimation of snow liquid water content (wetness) and the beginning of snow melt, using L-band radiometry and the L-band Specific Microwave Emission Model of Layered Snowpack (LS–MEMLS), is proposed. Two snow wetness retrieval data products are computed using tower-based radiometry over snow-covered natural ground and areas with a metal grid placed on the ground beneath the accumulating snow. It is experimentally demonstrated that the metal grid isolates snowpack’s own emission from the emission of the underlying ground. This allows considering the snow wetness retrievals derived ... |
format |
Text |
author |
Naderpour, Reza |
author_facet |
Naderpour, Reza |
author_sort |
Naderpour, Reza |
title |
Passive L-Band Remote Sensing Applications Over Cryospheric Regions ... |
title_short |
Passive L-Band Remote Sensing Applications Over Cryospheric Regions ... |
title_full |
Passive L-Band Remote Sensing Applications Over Cryospheric Regions ... |
title_fullStr |
Passive L-Band Remote Sensing Applications Over Cryospheric Regions ... |
title_full_unstemmed |
Passive L-Band Remote Sensing Applications Over Cryospheric Regions ... |
title_sort |
passive l-band remote sensing applications over cryospheric regions ... |
publisher |
ETH Zurich |
publishDate |
2019 |
url |
https://dx.doi.org/10.3929/ethz-b-000345500 http://hdl.handle.net/20.500.11850/345500 |
genre |
permafrost |
genre_facet |
permafrost |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution Non Commercial Share Alike 4.0 International https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode cc-by-nc-sa-4.0 |
op_doi |
https://doi.org/10.3929/ethz-b-000345500 |
_version_ |
1797567915987304448 |