TY - BOOK ID - 113574219 TI - Remote Sensing Analysis of Geologic Hazards AU - Giordan, Daniele AU - Luzi, Guido AU - Monserrat, Oriol AU - Dematteis, Niccolò PY - 2022 SN - 3036557008 3036556990 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Research & information: general KW - Geography KW - multi-temporal interferometry KW - mining KW - salt dissolution KW - MTInSAR KW - sinkholes KW - digital image correlation KW - template matching KW - natural hazards KW - surface deformations KW - optical remote sensing KW - time-lapse camera KW - 3D point cloud KW - voxels KW - supervoxels KW - rock slope management KW - classification KW - knowledge extraction KW - semantics KW - object-oriented KW - change detection KW - Fengfeng mine KW - mining deformation monitoring KW - MSBAS KW - multiplatform SAR data KW - dense vegetation KW - threshold KW - landslide KW - early warning system KW - velocity KW - water level KW - GNSS KW - lava KW - volcanoes KW - PlanetScope KW - object-based image analysis KW - SAR interferometry KW - slope instability KW - ground stability monitoring KW - Sentinel-1 KW - COSMO-SkyMed KW - time series analysis KW - rainfall-triggered landslides KW - tropics KW - statistical analysis KW - CHIRPS KW - multi-temporal image composite KW - Jølster KW - landslide database KW - Sentinel-2 KW - Google Earth Engine KW - NDVI KW - glacial landscape KW - evolution characteristics KW - state of activity KW - earthquake KW - rainfall KW - the Bailong River basin KW - n/a UR - https://www.unicat.be/uniCat?func=search&query=sysid:113574219 AB - 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. ER -