Observing Geohazards from Space

© 2019 by the authors; CC BY license

InSAR; Sentinel-1; geohazards; A-DInSAR; subsidence; urban area; C- and X-band satellites; A-DInSAR time series; land subsidence; groundwater level change; principal component analysis (PCA); Costantino Lake; landslide dam; remote sensing; landslide evolution; DTM; digital photogrammetry; LiDAR; Alpujarras region; A-DInSAR; InSAR; landslide; failure forecasting methods; landslide forecasting; landslides; remote sensing; semi-automated mapping; object-based image analysis (OBIA); manual mapping; visual interpretation; spatial accuracy metrics; Alps; Synthetic Aperture Radar (SAR); Interferometric SAR (InSAR); Small Unmanned Aerial Vehicle (SUAV); Structure from Motion (SfM); ground deformation; slope stability; land subsidence; transport infrastructure; abandoned mines; ground motion; subsidence; coal mining; DInSAR; Intermittent SBAS; Multi-Temporal InSAR, Sentinel-1; slope deformation; landslide; land subsidence; undermining; Persistent Scatterer Interferometry; Radar Interferometry; InSAR; uplift; subsidence; groundwater recharge; Brussels; SAR; alluvial plain; coastal areas; subsidence; Volturno; Italy; natural hazards; landslides; subsidence; ground deformation; mining; object-based classification; InSAR; aerial photography; LiDAR; photogrammetry