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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Published in:Remote Sensing
Main Authors: Widhalm, Barbara, Bartsch, Annett, Goler, Robert
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2018
Subjects:
Online Access:https://doi.org/10.3390/rs10040551
id ftzenodo:oai:zenodo.org:3247701
record_format openpolar
spelling 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
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic synthetic aperture radar
normalization
tundra
frozen soil
spellingShingle 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
container_title Remote Sensing
container_volume 10
container_issue 4
container_start_page 551
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