EO Summit 2017: Challenges for Next Generation SAR

Plourde, Patrick; Thompson, Alison; Jochum, Markus; Geudtner, Dirk; Séguin, Guy; Beckett, Keith; Brisco, Brian; Kooij, Marco van der; Vachon, P.W.

doi:10.1080/07038992.2018.1498740

Cited by 2 publications

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Space agencies have until now developed constellations that included a maximum of a few radar imaging platforms. With "new space", we are entering an era with possibly larger constellations [59]- [61] (e.g., ICEYE [62], [63], Capella Space [64]) and this may enable the attainment of daily coverage (at X-band) by combining data acquired in different geometries. Only limited spatial coverage will be possible in cases where solely spotlight or stripmap narrow-swath acquisitions are available-it will be possible to extend the size of the region covered at a high temporal resolution if instead predominantly wide-swath acquisitions are available [e.g., ScanSAR or Terrain-Observation with Progressive Scans SAR (TOPSAR)].…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Wide-Area Analysis-Ready Radar Backscatter Composites

Small

Rohner

Miranda

et al. 2022

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

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.

show abstract