Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments

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 hetero...

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Published in:Remote Sensing
Main Authors: Barbara Widhalm, Annett Bartsch, Robert Goler
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:https://doi.org/10.3390/rs10040551
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spelling ftmdpi:oai:mdpi.com:/2072-4292/10/4/551/ 2023-08-20T04:10:13+02:00 Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments Barbara Widhalm Annett Bartsch Robert Goler agris 2018-04-04 application/pdf https://doi.org/10.3390/rs10040551 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing Image Processing https://dx.doi.org/10.3390/rs10040551 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 10; Issue 4; Pages: 551 synthetic aperture radar normalization tundra frozen soil Text 2018 ftmdpi https://doi.org/10.3390/rs10040551 2023-07-31T21:27:34Z 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 R 2 = 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. Text Tundra MDPI Open Access Publishing Remote Sensing 10 4 551
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic synthetic aperture radar
normalization
tundra
frozen soil
spellingShingle synthetic aperture radar
normalization
tundra
frozen soil
Barbara Widhalm
Annett Bartsch
Robert Goler
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 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 R 2 = 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 Text
author Barbara Widhalm
Annett Bartsch
Robert Goler
author_facet Barbara Widhalm
Annett Bartsch
Robert Goler
author_sort Barbara Widhalm
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 Multidisciplinary Digital Publishing Institute
publishDate 2018
url https://doi.org/10.3390/rs10040551
op_coverage agris
genre Tundra
genre_facet Tundra
op_source Remote Sensing; Volume 10; Issue 4; Pages: 551
op_relation Remote Sensing Image Processing
https://dx.doi.org/10.3390/rs10040551
op_rights https://creativecommons.org/licenses/by/4.0/
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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