Remote Sensing in Coastline Detection

• Autore: Dominici Donatella
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (138 p.)
• Soggetto topico: History of engineering and technology
• Soggetto non controllato: 2100; Abruzzo; active connection matrix (ACM); beach survey; canny edge detector; climate change; coastline; coastline extraction; coastline mapping; coastlines; coral reefs; DGPS measurements; DSM; edge detection; geomatics; habitat mapping; habitat monitoring; heritage sites; hurricane Joaquin; hurricane Sandy; J-Net Dynamic; mangroves; Mediterranean; multispectral classification; n/a; network RTK; Pyrgi; remote sensing; Remote Sensing; satellite images; sea level rise; Sentinel-1; Sentinel-2; SfM photogrammetry; shoreline; shoreline detection; shoreline extraction; shoreline position; side-scan sonar; storm surges; swath bathymetry; synthetic aperture radar (SAR); UAV; video camera observation; vulnerable habitats; WorldView-2
• Persona (resp. second.): DominiciDonatella
• Sommario/riassunto: Coastal environments are dynamic ecosystems, where erosion is influenced by meteorological/climatic, geological, biological, and anthropic factors. Erosion has worrying effects on the environment, infrastructure, lifelines, and buildings. Furthermore, climate change is exacerbating an already fragile situation. We are witnessing a high-risk situation and are convinced that this is the most appropriate time to focus on state-of-the-art remote sensing techniques for shoreline monitoring. The improvements in the spatial and spectral resolution of current and next generation satellite-based sensors and the significant progress in the spatial data processing identify remote sensing techniques that increase our knowledge of territory and coastline. This Special Issue aims to highlight an overview of all multiscale remote sensing techniques (e.g., high resolution images, photogrammetry, SAR, etc.) and a whole array of methods and techniques that process, analyse, and discuss multitemporal remotely sensed data. Thank you to all of our contributors and authors for their interesting and illuminating studies. Since this topic is complex and dynamic, we hope to develop this research with future works to form more cutting-edge studies.
• Titolo autorizzato: Remote Sensing in Coastline Detection
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557546503321
• Lo trovi qui: Univ. Federico II