期刊
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
卷 60, 期 -, 页码 -出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2021.3055562
关键词
Backscatter; Radar; Radiometry; Radar tracking; Radar imaging; Geometry; Spaceborne radar; Radar cross sections; radar scattering; radar signatures; radar terrain factors
类别
资金
- ESA [VEGA/AG/15/01757]
This article presents a methodology for producing wide-area backscatter images. By combining backscatter measurements of a single region seen from multiple satellite tracks, the method provides wide-area coverage and corrects for slope effects. The approach is suitable for various applications, such as wet snow monitoring, land cover classification, or short-term change detection.
The benefits of composite products are well known to users of data from optical sensors: cloud-cleared composite reflectance or index products are commonly used as an analysis-ready data (ARD) layer. No analogous composite products are currently in widespread use that is based on spaceborne radar satellite backscatter signals. Here, we present a methodology to produce wide-area ARD composite backscatter images. They build on the existing heritage of geometrically and radiometrically terrain corrected level 1 products. By combining backscatter measurements of a single region seen from multiple satellite tracks (incl. ascending and descending), they are able to provide wide-area coverage with low latency. The analysis-ready composite backscatter maps provide flattened backscatter estimates that are geometrically and radiometrically corrected for slope effects. A mask layer annotating the local quality of the composite resolution is introduced. Multiple tracks are combined by weighting each observation by its local resolution, generating seamless wide-area backscatter maps suitable for applications ranging from wet snow monitoring to land cover classification or short-term change detection.
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