Imaging Floods and Glacier Geohazards with Remote Sensing

• Autore: Cigna Francesca
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (266 p.)
• Soggetto topico: Research and information: general
• Soggetto non controllato: ADCIRC; Bangladesh; chlorophyll a; cryosphere; damage assessment; disaster mapping; displacements; double bounce effect; elevation change; flood; flood extent mapping; flood mapping; floods; FPI; fusion; GEE; GIS; glacier collapse; glacier lake evolution; glacier monitoring; glacier retreat; glacier river; glacier surge; Google Earth Engine; GRACE; hazard; Hurricane Harvey; Hurricane Matthew; inundation probability; Landsat; Landsat-8; laserscanning; Lower Chenab Plain; mass balance; multi-spectral satellite data; n/a; NDWI; offset tracking; phytoplankton; remote sensing; rock fall; rock-slope instability; SAR image; SAR intensity time series; Secchi disk; sediments; Sentinel; Sentinel 2; Sentinel-1; slope processes; snow depth; storage deficit; supervised classification; surface DEM; synthetic aperture radar; synthetic Aperture Radar; synthetic aperture radar (SAR); terrestrial water storage anomaly; Tibet; UAV-structure from Motion; urban flood mapping; web application
• Persona (resp. second.): XieHongjie; ChokmaniKarem; CignaFrancesca
• Sommario/riassunto: Remote sensing plays a pivotal role in understanding where and how floods and glacier geohazards occur; their severity, causes and types; and the risk that they may pose to populations, activities and properties. By providing a spectrum of imaging capabilities, resolutions and temporal and spatial coverage, remote sensing data acquired from satellite, aerial and ground-based platforms provide key geo-information to characterize and model these processes. This book includes research papers on novel technologies (e.g., sensors, platforms), data (e.g., multi-spectral, radar, laser scanning, GPS, gravity) and analysis methods (e.g., change detection, offset tracking, structure from motion, 3D modeling, radar interferometry, automated classification, machine learning, spectral indices, probabilistic approaches) for flood and glacier imaging. Through target applications and case studies distributed globally, these articles contribute to the discussion on the current potential and limitations of remote sensing in this specialist research field, as well as the identification of trends and future perspectives.
• Titolo autorizzato: Imaging Floods and Glacier Geohazards with Remote Sensing
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557770603321
• Lo trovi qui: Univ. Federico II