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:
Cryosphere
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Uniform resource locator/link to file
Monitoring
ESA Data User Element - GlobPermafrost ESA-DUE-GlobPermafrost
Permafrost Research Periglacial Dynamics @ AWI AWI_PerDyn
permafrost
Tundra
Online Access:https://dx.doi.org/10.1594/pangaea.897046
https://doi.pangaea.de/10.1594/PANGAEA.897046
Description
Summary: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 ...

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