Building a SAR-Enabled Data Cube Capability in Australia Using SAR Analysis Ready Data

Catherine Ticehurst, Zheng-Shu Zhou, Eric Lehmann, Fang Yuan, Medhavy Thankappan, Ake Rosenqvist, Ben Lewis and Matt Paget
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Catherine Ticehurst: Commonwealth Scientific and Industrial Research Organisation (CSIRO) Land & Water, Canberra ACT 2601, Australia
Zheng-Shu Zhou: CSIRO Data61, Floreat WA 6014, Australia
Eric Lehmann: CSIRO Data61, Canberra ACT 2601, Australia
Fang Yuan: Geoscience Australia, GPO Box 378, Canberra ACT 2601, Australia
Medhavy Thankappan: Geoscience Australia, GPO Box 378, Canberra ACT 2601, Australia
Ake Rosenqvist: solo Earth Observation (soloEO), Tokyo 104-0054, Japan
Ben Lewis: Geoscience Australia, GPO Box 378, Canberra ACT 2601, Australia
Matt Paget: Commonwealth Scientific and Industrial Research Organisation (CSIRO) Land & Water, Canberra ACT 2601, Australia

Data, 2019, vol. 4, issue 3, 1-19

Abstract: A research alliance between the Commonwealth Scientific and Industrial Research Organization and Geoscience Australia was established in relation to Digital Earth Australia, to develop a Synthetic Aperture Radar (SAR)-enabled Data Cube capability for Australia. This project has been developing SAR analysis ready data (ARD) products, including normalized radar backscatter (gamma nought, γ 0 ), eigenvector-based dual-polarization decomposition and interferometric coherence, all generated from the European Space Agency (ESA) Sentinel-1 interferometric wide swath mode data available on the Copernicus Australasia Regional Data Hub. These are produced using the open source ESA SNAP toolbox. The processing workflows are described, along with a comparison of the γ 0 backscatter and interferometric coherence ARD produced using SNAP and the proprietary software GAMMA. This comparison also evaluates the effects on γ 0 backscatter due to variations related to: Near- and far-range look angles; SNAP’s default Shuttle Radar Topography Mission (SRTM) DEM and a refined Australia-wide DEM; as well as terrain. The agreement between SNAP and GAMMA is generally good, but also presents some systematic geometric and radiometric differences. The difference between SNAP’s default SRTM DEM and the refined DEM showed a small geometric shift along the radar view direction. The systematic geometric and radiometric issues detected can however be expected to have negligible effects on analysis, provided products from the two processors and two DEMs are used separately and not mixed within the same analysis. The results lead to the conclusion that the SNAP toolbox is suitable for producing the Sentinel-1 ARD products.

Keywords: Sentinel-1; Synthetic Aperture Radar; Data Cube; dual-polarimetric decomposition; interferometric coherence; Digital Earth Australia (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2019
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