MultiSat4Slows System for Detecting and Assessing Potentially Active Landslide Regions -- Initial Results from an Ongoing Interdisciplinary Collaboration
Loading...
Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Landslides represent one of the major threats worldwide to human life, settlements, and infrastructure. Their occurrence is increasing due to anthropogenic activities and environmental changes. Detecting slow-moving landslides in geographical space, monitoring their kinematic behavior in time, and correlating their changes in displacement to potential influencing factors (i.e., precipitation, land use change detection, and earthquakes) can contribute to forecast possible future landslide collapses. Satellite Earth Observation (EO) technology, such as Multi-temporal Synthetic Aperture Interferometry (MTI), provides millions of ground displacement time series that enable EO data scientists to detect slow-moving landslides in geographical space. In this short paper, we discuss our current Visual Analytics (VA) concept and system that supports EO data scientists to analyze ground displacement time series in a semi-automatic and exploratory manner. The goal is to derive helpful information for landslide hazard assessment, such as the location of slow-moving landslides, main kinematic parameters, changes in displacement trend, and possible correlation with external triggering factors. This paper presents the initial results of our VA system in supporting displacement classification and clustering, depicting detected clusters in the cluster overview visualization, and enabling exploratory data analysis and interactive steering.
Description
CCS Concepts: Human-centered computing -> Visual analytics
@inproceedings{10.2312:envirvis.20231110,
booktitle = {Workshop on Visualisation in Environmental Sciences (EnvirVis)},
editor = {Dutta, Soumya and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk},
title = {{MultiSat4Slows System for Detecting and Assessing Potentially Active Landslide Regions -- Initial Results from an Ongoing Interdisciplinary Collaboration}},
author = {Sips, Mike and Vassileva, Magdalena and Eggert, Daniel and Motagh, Mahdi},
year = {2023},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-223-3},
DOI = {10.2312/envirvis.20231110}
}