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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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 |
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ftmdpi |
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English |
topic |
synthetic aperture radar normalization tundra frozen soil |
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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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1774724257565114368 |