Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments
Abstract Synthetic aperture radar (SAR) applications often require normalization to a common incidence angle. Angular signatures of radar backscatter depend on surface roughness and vegetation cover, and thus differ, from location to location. Comprehensive reference datasets are therefore required...
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ftzenodo:oai:zenodo.org:3247701 2024-09-15T18:39:42+00:00 Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments Widhalm, Barbara Bartsch, Annett Goler, Robert 2018-04-04 https://doi.org/10.3390/rs10040551 unknown Zenodo https://zenodo.org/communities/nunataryuk https://doi.org/10.3390/rs10040551 oai:zenodo.org:3247701 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode synthetic aperture radar normalization tundra frozen soil info:eu-repo/semantics/article 2018 ftzenodo https://doi.org/10.3390/rs10040551 2024-07-26T01:47:04Z Abstract Synthetic aperture radar (SAR) applications often require normalization to a common incidence angle. Angular signatures of radar backscatter depend on surface roughness and vegetation cover, and thus differ, from location to location. Comprehensive reference datasets are therefore required in heterogeneous landscapes. Multiple acquisitions from overlapping orbits with sufficient incidence angle range are processed in order to obtain parameters of the location specific normalization function. We propose a simpler method for C-band data, using single scenes only. It requires stable dielectric properties (no variations of liquid water content). This method is therefore applicable for frozen conditions. Winter C-band data have been shown of high value for a number of applications in high latitudes before. In this paper we explore the relationship of incidence angle and Sentinel-1 backscatter across the tundra to boreal transition zone. A linear relationship (coefficient of determination R2= 0.64) can be found between backscatter and incidence angle dependence (slope of normalization function) as determined by multiple acquisitions on a pixel by pixel basis for typical land cover classes in these regions. This allows a simplified normalization and thus reduced processing effort for applications over larger areas. Article in Journal/Newspaper Tundra Zenodo Remote Sensing 10 4 551 |
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synthetic aperture radar normalization tundra frozen soil |
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synthetic aperture radar normalization tundra frozen soil Widhalm, Barbara Bartsch, Annett Goler, Robert Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments |
topic_facet |
synthetic aperture radar normalization tundra frozen soil |
description |
Abstract Synthetic aperture radar (SAR) applications often require normalization to a common incidence angle. Angular signatures of radar backscatter depend on surface roughness and vegetation cover, and thus differ, from location to location. Comprehensive reference datasets are therefore required in heterogeneous landscapes. Multiple acquisitions from overlapping orbits with sufficient incidence angle range are processed in order to obtain parameters of the location specific normalization function. We propose a simpler method for C-band data, using single scenes only. It requires stable dielectric properties (no variations of liquid water content). This method is therefore applicable for frozen conditions. Winter C-band data have been shown of high value for a number of applications in high latitudes before. In this paper we explore the relationship of incidence angle and Sentinel-1 backscatter across the tundra to boreal transition zone. A linear relationship (coefficient of determination R2= 0.64) can be found between backscatter and incidence angle dependence (slope of normalization function) as determined by multiple acquisitions on a pixel by pixel basis for typical land cover classes in these regions. This allows a simplified normalization and thus reduced processing effort for applications over larger areas. |
format |
Article in Journal/Newspaper |
author |
Widhalm, Barbara Bartsch, Annett Goler, Robert |
author_facet |
Widhalm, Barbara Bartsch, Annett Goler, Robert |
author_sort |
Widhalm, Barbara |
title |
Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments |
title_short |
Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments |
title_full |
Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments |
title_fullStr |
Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments |
title_full_unstemmed |
Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments |
title_sort |
simplified normalization of c-band synthetic aperture radar data for terrestrial applications in high latitude environments |
publisher |
Zenodo |
publishDate |
2018 |
url |
https://doi.org/10.3390/rs10040551 |
genre |
Tundra |
genre_facet |
Tundra |
op_relation |
https://zenodo.org/communities/nunataryuk https://doi.org/10.3390/rs10040551 oai:zenodo.org:3247701 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.3390/rs10040551 |
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Remote Sensing |
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10 |
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551 |
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1810484046639136768 |