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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Bibliographic Details
Main Authors: Widhalm, Barbara, Bartsch, Annett, Goler, Robert
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.897046
https://doi.pangaea.de/10.1594/PANGAEA.897046
id ftdatacite:10.1594/pangaea.897046
record_format openpolar
spelling 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
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