Normalized C-HH backscatter from Sentinel-1 (December, 2014-2017) for selected tundra regions ...
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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Online Access: | https://dx.doi.org/10.1594/pangaea.897046 https://doi.pangaea.de/10.1594/PANGAEA.897046 |
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ftdatacite:10.1594/pangaea.897046 2023-12-31T10:21:56+01:00 Normalized C-HH backscatter from Sentinel-1 (December, 2014-2017) for selected tundra regions ... Widhalm, Barbara Bartsch, Annett Goler, Robert 2019 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.897046 https://doi.pangaea.de/10.1594/PANGAEA.897046 en eng PANGAEA https://hs.pangaea.de/sat/GlobPermafrost_Sentinel/C-HH_backscatter/ESA_GlobPermafrost_PD_LCP_LANDB_20190107_v1_1.pdf https://dx.doi.org/10.3390/rs10040551 https://dx.doi.org/10.1594/pangaea.897045 https://hs.pangaea.de/sat/GlobPermafrost_Sentinel/C-HH_backscatter/ESA_GlobPermafrost_PD_LCP_LANDB_20190107_v1_1.pdf Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Cryosphere Event label File content File name File format File size Uniform resource locator/link to file Monitoring ESA Data User Element - GlobPermafrost ESA-DUE-GlobPermafrost Permafrost Research Periglacial Dynamics @ AWI AWI_PerDyn Supplementary Dataset Dataset dataset 2019 ftdatacite https://doi.org/10.1594/pangaea.89704610.3390/rs1004055110.1594/pangaea.897045 2023-12-01T11:19:51Z 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 ... : Supplement to: Widhalm, Barbara; Bartsch, Annett; Goler, Robert (2018): Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments. Remote Sensing, 10(4), 551 ... Dataset permafrost Tundra DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Cryosphere Event label File content File name File format File size Uniform resource locator/link to file Monitoring ESA Data User Element - GlobPermafrost ESA-DUE-GlobPermafrost Permafrost Research Periglacial Dynamics @ AWI AWI_PerDyn |
spellingShingle |
Cryosphere Event label File content File name File format File size Uniform resource locator/link to file Monitoring ESA Data User Element - GlobPermafrost ESA-DUE-GlobPermafrost Permafrost Research Periglacial Dynamics @ AWI AWI_PerDyn Widhalm, Barbara Bartsch, Annett Goler, Robert Normalized C-HH backscatter from Sentinel-1 (December, 2014-2017) for selected tundra regions ... |
topic_facet |
Cryosphere Event label File content File name File format File size Uniform resource locator/link to file Monitoring ESA Data User Element - GlobPermafrost ESA-DUE-GlobPermafrost Permafrost Research Periglacial Dynamics @ AWI AWI_PerDyn |
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 R2 = 0.64) can be found ... : Supplement to: Widhalm, Barbara; Bartsch, Annett; Goler, Robert (2018): Simplified Normalization of C-Band Synthetic Aperture Radar Data for Terrestrial Applications in High Latitude Environments. Remote Sensing, 10(4), 551 ... |
format |
Dataset |
author |
Widhalm, Barbara Bartsch, Annett Goler, Robert |
author_facet |
Widhalm, Barbara Bartsch, Annett Goler, Robert |
author_sort |
Widhalm, Barbara |
title |
Normalized C-HH backscatter from Sentinel-1 (December, 2014-2017) for selected tundra regions ... |
title_short |
Normalized C-HH backscatter from Sentinel-1 (December, 2014-2017) for selected tundra regions ... |
title_full |
Normalized C-HH backscatter from Sentinel-1 (December, 2014-2017) for selected tundra regions ... |
title_fullStr |
Normalized C-HH backscatter from Sentinel-1 (December, 2014-2017) for selected tundra regions ... |
title_full_unstemmed |
Normalized C-HH backscatter from Sentinel-1 (December, 2014-2017) for selected tundra regions ... |
title_sort |
normalized c-hh backscatter from sentinel-1 (december, 2014-2017) for selected tundra regions ... |
publisher |
PANGAEA |
publishDate |
2019 |
url |
https://dx.doi.org/10.1594/pangaea.897046 https://doi.pangaea.de/10.1594/PANGAEA.897046 |
genre |
permafrost Tundra |
genre_facet |
permafrost Tundra |
op_relation |
https://hs.pangaea.de/sat/GlobPermafrost_Sentinel/C-HH_backscatter/ESA_GlobPermafrost_PD_LCP_LANDB_20190107_v1_1.pdf https://dx.doi.org/10.3390/rs10040551 https://dx.doi.org/10.1594/pangaea.897045 https://hs.pangaea.de/sat/GlobPermafrost_Sentinel/C-HH_backscatter/ESA_GlobPermafrost_PD_LCP_LANDB_20190107_v1_1.pdf |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.89704610.3390/rs1004055110.1594/pangaea.897045 |
_version_ |
1786832904026849280 |