Passive and Active Microwave Remote Sensing and Modeling of Layered Snow ...
This thesis investigates the effects of complexly-layered snow on passive and active microwave remote sensing observations and models, employing detailed in-situ geophysical measurements over various landcover types. First, I present observed and simulated C-band backscatter signatures for complexly...
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Online Access: | https://dx.doi.org/10.11575/prism/27265 https://prism.ucalgary.ca/handle/11023/2394 |
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ftdatacite:10.11575/prism/27265 2023-11-05T03:44:57+01:00 Passive and Active Microwave Remote Sensing and Modeling of Layered Snow ... Fuller, Mark Christopher 2015 https://dx.doi.org/10.11575/prism/27265 https://prism.ucalgary.ca/handle/11023/2394 en eng Graduate Studies University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. Geophysics FOS Earth and related environmental sciences Physical Geography Remote Sensing Snow Snow Physical Modeling Snow Active Microwave Remote Sensing Snow Passive Microwave Remote Sensing Snow Layering Layered Snow over Land Layered Snow over Sea Ice Snow Assimilation Technique Snow Water Equivalent Snow Microstructure Snow Stratigraphy Snow Microwave Backscatter Modeling Snow Microwave Emission Modeling Depth Hoar Ice Layers Wind Slab article doctoral thesis CreativeWork Other 2015 ftdatacite https://doi.org/10.11575/prism/27265 2023-10-09T10:53:16Z This thesis investigates the effects of complexly-layered snow on passive and active microwave remote sensing observations and models, employing detailed in-situ geophysical measurements over various landcover types. First, I present observed and simulated C-band backscatter signatures for complexly-layered snow on smooth, landfast first-year sea ice. Detailed in-situ measurements describe snow structure. A multilayer backscatter model is used to assess the impacts of layered components. The backscatter from a complexly-layered snow cover on smooth first-year sea ice is higher than from a simple snow cover. Sensitivity analysis suggests that rough ice layers within the snow cover and superimposed at the snow-ice interface influence brine volume, and are mechanisms that increase surface and volume scattering. This has implications for sea ice mapping, geophysical inversion, and snow thickness retrievals. Second, I present a snow layer excavation experiment to compare observed and modeled brightness ... Article in Journal/Newspaper Sea ice 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 |
Geophysics FOS Earth and related environmental sciences Physical Geography Remote Sensing Snow Snow Physical Modeling Snow Active Microwave Remote Sensing Snow Passive Microwave Remote Sensing Snow Layering Layered Snow over Land Layered Snow over Sea Ice Snow Assimilation Technique Snow Water Equivalent Snow Microstructure Snow Stratigraphy Snow Microwave Backscatter Modeling Snow Microwave Emission Modeling Depth Hoar Ice Layers Wind Slab |
spellingShingle |
Geophysics FOS Earth and related environmental sciences Physical Geography Remote Sensing Snow Snow Physical Modeling Snow Active Microwave Remote Sensing Snow Passive Microwave Remote Sensing Snow Layering Layered Snow over Land Layered Snow over Sea Ice Snow Assimilation Technique Snow Water Equivalent Snow Microstructure Snow Stratigraphy Snow Microwave Backscatter Modeling Snow Microwave Emission Modeling Depth Hoar Ice Layers Wind Slab Fuller, Mark Christopher Passive and Active Microwave Remote Sensing and Modeling of Layered Snow ... |
topic_facet |
Geophysics FOS Earth and related environmental sciences Physical Geography Remote Sensing Snow Snow Physical Modeling Snow Active Microwave Remote Sensing Snow Passive Microwave Remote Sensing Snow Layering Layered Snow over Land Layered Snow over Sea Ice Snow Assimilation Technique Snow Water Equivalent Snow Microstructure Snow Stratigraphy Snow Microwave Backscatter Modeling Snow Microwave Emission Modeling Depth Hoar Ice Layers Wind Slab |
description |
This thesis investigates the effects of complexly-layered snow on passive and active microwave remote sensing observations and models, employing detailed in-situ geophysical measurements over various landcover types. First, I present observed and simulated C-band backscatter signatures for complexly-layered snow on smooth, landfast first-year sea ice. Detailed in-situ measurements describe snow structure. A multilayer backscatter model is used to assess the impacts of layered components. The backscatter from a complexly-layered snow cover on smooth first-year sea ice is higher than from a simple snow cover. Sensitivity analysis suggests that rough ice layers within the snow cover and superimposed at the snow-ice interface influence brine volume, and are mechanisms that increase surface and volume scattering. This has implications for sea ice mapping, geophysical inversion, and snow thickness retrievals. Second, I present a snow layer excavation experiment to compare observed and modeled brightness ... |
format |
Article in Journal/Newspaper |
author |
Fuller, Mark Christopher |
author_facet |
Fuller, Mark Christopher |
author_sort |
Fuller, Mark Christopher |
title |
Passive and Active Microwave Remote Sensing and Modeling of Layered Snow ... |
title_short |
Passive and Active Microwave Remote Sensing and Modeling of Layered Snow ... |
title_full |
Passive and Active Microwave Remote Sensing and Modeling of Layered Snow ... |
title_fullStr |
Passive and Active Microwave Remote Sensing and Modeling of Layered Snow ... |
title_full_unstemmed |
Passive and Active Microwave Remote Sensing and Modeling of Layered Snow ... |
title_sort |
passive and active microwave remote sensing and modeling of layered snow ... |
publisher |
Graduate Studies |
publishDate |
2015 |
url |
https://dx.doi.org/10.11575/prism/27265 https://prism.ucalgary.ca/handle/11023/2394 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_rights |
University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. |
op_doi |
https://doi.org/10.11575/prism/27265 |
_version_ |
1781706098420482048 |