Next Article in Journal
Feedforward Neural Network-Based Architecture for Predicting Emotions from Speech
Next Article in Special Issue
Semantic Earth Observation Data Cubes
Previous Article in Journal
System for Collecting, Processing, Visualization, and Storage of the MT-Monitoring Data
Previous Article in Special Issue
A Portal Offering Standard Visualization and Analysis on top of an Open Data Cube for Sub-National Regions: The Catalan Data Cube Example
Article Menu

Export Article

Open AccessArticle

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

1
Commonwealth Scientific and Industrial Research Organisation (CSIRO) Land & Water, Canberra ACT 2601, Australia
2
CSIRO Data61, Floreat WA 6014, Australia
3
CSIRO Data61, Canberra ACT 2601, Australia
4
Geoscience Australia, GPO Box 378, Canberra ACT 2601, Australia
5
solo Earth Observation (soloEO), Tokyo 104-0054, Japan
*
Author to whom correspondence should be addressed.
Data 2019, 4(3), 100; https://doi.org/10.3390/data4030100
Received: 28 May 2019 / Revised: 10 July 2019 / Accepted: 12 July 2019 / Published: 15 July 2019
(This article belongs to the Special Issue Earth Observation Data Cubes)
  |  
PDF [4525 KB, uploaded 15 July 2019]
  |  

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, γ0), 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 γ0 backscatter and interferometric coherence ARD produced using SNAP and the proprietary software GAMMA. This comparison also evaluates the effects on γ0 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. View Full-Text
Keywords: Sentinel-1; Synthetic Aperture Radar; Data Cube; dual-polarimetric decomposition; interferometric coherence; Digital Earth Australia Sentinel-1; Synthetic Aperture Radar; Data Cube; dual-polarimetric decomposition; interferometric coherence; Digital Earth Australia
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Ticehurst, C.; Zhou, Z.-S.; Lehmann, E.; Yuan, F.; Thankappan, M.; Rosenqvist, A.; Lewis, B.; Paget, M. Building a SAR-Enabled Data Cube Capability in Australia Using SAR Analysis Ready Data. Data 2019, 4, 100.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Data EISSN 2306-5729 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top