Abstract

This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses and ice sheets from 82° Northern to 79° Southern latitudes. The data set is derived from multi-temporal repeat-pass interferometric processing of about 205,000 Sentinel-1 C-band SAR images acquired in Interferometric Wide-Swath Mode from 1-Dec-2019 to 30-Nov-2020. The data set encompasses three sets of seasonal (December-February, March-May, June-August, September-November) metrics produced with a pixel spacing of three arcseconds: 1) Median 6-, 12-, 18-, 24-, 36-, and 48-days repeat-pass coherence at VV or HH polarizations, 2) Mean radiometrically terrain corrected backscatter (γ0) at VV and VH, or HH and HV polarizations, and 3) Estimated parameters of an exponential coherence decay model. The data set has been produced to obtain global, spatially detailed information on how decorrelation affects interferometric measurements of surface displacement and is rich in spatial and temporal information for a variety of mapping applications.

Measurement(s)

Seasonal C-band SAR coherence and backscatter from Dec. 2019 to Nov. 2020

Technology Type(s)

SAR interferometric and radiometric terrain correction processing of Sentinel-1 SAR data

Sample Characteristic - Environment

Global land an coastal sea ice surfaces

Sample Characteristic - Location

Earth from 82 degrees northern to 79 degrees southern latitude

Details

Title
Global seasonal Sentinel-1 interferometric coherence and backscatter data set
Author
Kellndorfer Josef 1   VIAFID ORCID Logo  ; Cartus Oliver 2 ; Lavalle, Marco 3 ; Magnard Christophe 2   VIAFID ORCID Logo  ; Milillo Pietro 4 ; Oveisgharan Shadi 3 ; Batu, Osmanoglu 5 ; Rosen, Paul A 3 ; Wegmüller Urs 2 

 Earth Big Data LLC, Woods Hole, USA 
 GAMMA Remote Sensing AG, Gümligen, Switzerland (GRID:grid.424908.3) (ISNI:0000 0004 0613 3138) 
 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA (GRID:grid.211367.0) (ISNI:0000 0004 0637 6500) 
 University of Houston, Cullen College of Engineering, Houston, USA (GRID:grid.266436.3) (ISNI:0000 0004 1569 9707) 
 NASA/GSFC, Greenbelt, USA (GRID:grid.133275.1) (ISNI:0000 0004 0637 6666) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2638175592
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.