Identifying Land Subsidence Using Global Digital Elevation Models

Recent developments in space-based surveying methods of the Earth's topography, including the differential interferometric synthetic aperture radar (DInSAR), have increased the availability of options for monitoring land subsidence. However, DInSAR methods require expert knowledge and specializ...

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Bibliographic Details
Published in:IEEE journal of selected topics in applied earth observations and remote sensing 2021, Vol.14, p.8989-8998
Main Authors: Becek, Kazimierz, Ibrahim, Khairunnisa, Bayik, Caglar, Abdikan, Saygin, Kutoglu, Hakan, Glabicki, Dariusz, Blachowski, Jan
Format: Article
Language:English
Subjects:
Deformation
Deformation effects
Digital Elevation Models
Digital elevation models (DEMs)
Earth
Elevation
geodesy
geophysical measurement techniques
geospatial analysis
Interferometric synthetic aperture radar
Interferometry
Land subsidence
Landslides
level measurement
Monitoring
SAR (radar)
Statistical analysis
Statistical methods
Strain
Subsidence
Surface topography
Surveying
Synthetic aperture radar
Tectonics
terrain mapping
Topography
Underground mining
Uplift
Vegetation mapping
Volcanic activity
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Summary:Recent developments in space-based surveying methods of the Earth's topography, including the differential interferometric synthetic aperture radar (DInSAR), have increased the availability of options for monitoring land subsidence. However, DInSAR methods require expert knowledge and specialized software, and they are time-consuming. Here, we demonstrate that a land subsidence signal can be identified in the differences in the freely available global digital elevation models (e.g., SRTM and TanDEM-X) using a simple statistical method. This finding opens up a venue to develop a computer application to identify land subsidence or uplift of a few decimeters per at least a decade order. Such an application enables monitoring the effects of underground mining, seismic/tectonic movements, landslides, volcanic activities, and similar effects on the Earth's topography. It can also provide a valuable and cost-effective tool for studying land deformation.
ISSN:1939-1404
2151-1535
DOI:10.1109/JSTARS.2021.3110438