Remote Sensing Analysis of Geologic Hazards

Edited by
November 2022
254 pages
  • ISBN978-3-0365-5699-4 (Hardback)
  • ISBN978-3-0365-5700-7 (PDF)

This book is a reprint of the Special Issue Remote Sensing Analysis of Geologic Hazards that was published in

Environmental & Earth Sciences

In recent decades, classical survey approaches have evolved and with the advent of new technologies and platforms, remote sensing systems have become popular and widely used in geosciences. Contactless devices are not invasive and allow for measuring without accessing the investigated area. This is an excellent advantage as earth surface processes often occur in remote areas and can be potentially dangerous or difficult to access. Satellite remote sensing offers the possibility of using multi-band high-resolution data over large areas. Therefore, it can be of great support for natural risk monitoring and analysis at a regional scale. On the other hand, terrestrial systems feature high spatial and temporal resolutions, which can assist in observing the evolution of fast and potentially dangerous phenomena. Therefore, proximal sensing systems are of great value for risk assessment and early warning procedures of natural hazards. This book focuses on recent and upcoming advances in the remote and proximal sensing monitoring of geologic hazards, warning procedures, and new data-processing techniques.

  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
multi-temporal interferometry; mining; salt dissolution; MTInSAR; sinkholes; digital image correlation; template matching; natural hazards; surface deformations; optical remote sensing; time-lapse camera; 3D point cloud; voxels; supervoxels; rock slope management; classification; knowledge extraction; semantics; object-oriented; change detection; Fengfeng mine; mining deformation monitoring; MSBAS; multiplatform SAR data; dense vegetation; threshold; landslide; early warning system; velocity; water level; GNSS; lava; volcanoes; PlanetScope; change detection; object-based image analysis; SAR interferometry; slope instability; ground stability monitoring; Sentinel-1; COSMO-SkyMed; time series analysis; rainfall-triggered landslides; tropics; statistical analysis; CHIRPS; multi-temporal image composite; change detection; Jølster; landslide database; Sentinel-2; Sentinel-1; Google Earth Engine; NDVI; glacial landscape; landslide; evolution characteristics; state of activity; earthquake; rainfall; the Bailong River basin; n/a

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