Remote Sensing Analysis of Geologic Hazards

• Muut tekijät: Giordan, Daniele (Toimittaja), Luzi, Guido (Toimittaja), Monserrat, Oriol (Toimittaja), Dematteis, Niccolò (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Aiheet: Research & information: general; Geography; 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; 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; Jølster; landslide database; Sentinel-2; Google Earth Engine; NDVI; glacial landscape; evolution characteristics; state of activity; earthquake; rainfall; the Bailong River basin; n/a
• Linkit: DOAB: download the publication; DOAB: description of the publication

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...