The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B3-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 171–176, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-171-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 171–176, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-171-2021
 
28 Jun 2021
28 Jun 2021

EXPLORING CLOUD-BASED PLATFORMS FOR RAPID INSAR TIME SERIES ANALYSIS

A. Piter1, M. Vassileva2,1, M. Haghshenas Haghighi1, and M. Motagh1,2 A. Piter et al.
  • 1Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, Germany
  • 2GFZ German Research Centre for Geosciences, Section of Remote Sensing and Geoinformatics, 14473 Potsdam, Germany

Keywords: Cloud platform, InSAR, Big data, Time series analysis, Deformation

Abstract. The idea of near real-time deformation analysis using Synthetic Aperture Radar (SAR) data as a response to natural and anthropogenic disasters has been an interesting topic in the last years. A major limiting factor for this purpose has been the non-availability of both spatially and temporally homogeneous SAR datasets. This has now been resolved thanks to the SAR data provided by the Sentinel-1A/B missions, freely available at a global scale via the Copernicus program of the European Space Agency (ESA). Efficient InSAR analysis in the era of Sentinel demands working with cloud-based platforms to tackle problems posed by large volumes of data. In this study, we explore a variety of existing cloud-based platforms for Multi-Temporal Interferometric SAR (MTI) analysis and discuss their opportunities and limitations.