SliDEM: An open-source-based workflow for DEM generation from Sentinel-1 for landslide volume estimation

Lorena Abad* (Developer), Zahra Dabiri (Other), Benjamin Aubrey Robson (Other), Daniel Wolfgang Hölbling (Other)

*Corresponding author for this work

Research output: Non-textual formSoftware

Abstract

The overall goal of SliDEM is to assess the potential for determining landslide volumes based on digital elevation models (DEMs) derived from Sentinel-1 SAR data. Therefore, we will develop a low-cost, transferable, semi-automated method implemented within a Python package based on open-source tools. SliDEM will analyse the technical challenges related to radar interferometry within mountainous, landslide-prone regions in Austria and Norway. We will assess and validate the quality of the DEM results in comparison to reference elevation data, and evaluate the proposed workflow in terms of reliability, performance, reproducibility, and transferability. SliDEM will contribute significantly to increasing our knowledge about the applicability of Sentinel-1 DEMs for natural hazards research, in particular for landslide assessment.
Original languageEnglish
Media of outputOnline
DOIs
Publication statusPublished - 2022

Keywords

  • DEM generation
  • Sentinel-1
  • SNAP

Fields of Science and Technology Classification 2012

  • 207 Environmental Engineering, Applied Geosciences
  • 105 Geosciences

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