Open access
Date
2022-12Type
- Journal Article
Abstract
Multi-temporal, high-resolution, and homogeneous geospatial datasets acquired by space- and/or airborne sensors provide unprecedented opportunities for the characterization and monitoring of surface changes on very large spatial scales. Here, we demonstrate how an off-the-shelf, open-source image correlation algorithm can be combined with SwissALTI3D LiDAR-derived elevation data from different tracking periods to create country-scale surface displacement and vertical change maps of Switzerland, including Liechtenstein, with minimal computational effort. The results show that glacier displacement and ablation make up the most significant fraction of the detected surface changes in the last two decades. In addition, we identify numerous landslides and other geomorphic features, as well as manmade changes such as construction sites and landfills. All produced maps and data products are available online, free of charge. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000561470Publication status
publishedExternal links
Journal / series
Journal of Geovisualization and Spatial AnalysisVolume
Pages / Article No.
Publisher
SpringerSubject
Image correlation; Change detection; LiDAR; Surface displacements; Switzerland; LiechtensteinOrganisational unit
09599 - Farinotti, Daniel / Farinotti, Daniel
Related publications and datasets
Is supplemented by: https://doi.org/10.3929/ethz-b-000557355
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