Remote Sensing Applications in Coastal Environment

• Andere auteurs: Terefenko, Paweł (Redacteur), Lubczonek, Jacek (Redacteur), Paprotny, Dominik (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Onderwerpen: Research & information: general; big data applications; data processing; data visualization; neural networks; reduction; coastal waters; urban expansion; remote sensing and GIS; expansion types and rates; major explanatory factors; Miami metropolitan area; cliff coastlines; cliff retreat; time-series analysis; airborne laser scanner; warm upwelling; sea surface temperature; numerical modelling; winter; southern Baltic Sea; beach monitoring; mobile terrestrial LiDAR; intensity calibration; beach surface moisture; Baltic coast; Poland; CORINE Land Cover; land cover flow; urbanisation; afforestation; deforestation; spatial analysis; SDGs; coastal habitats; ecosystem monitoring; land cover mapping; random forest algorithm; Sentinel-2; modified soil-adjusted vegetation index 2-MSAVI2; normalized difference water index 2-NDWI2; brightness index 2-BI2; oil spill; remote sensing; review; machine learning; deep learning; trajectory modeling; vulnerability assessment; coastal geomorphology; shoreline change; coastal process; monitoring; geomatic techniques; Po River Delta; archival multi-temporal data; coastline changes; emerged/submerged surfaces; land subsidence; relative sea level rise 2100; land cover; dune coast; air photograph; South Baltic Sea; coastal monitoring; estuaries; IoT; lidar; n/a
• Online toegang: DOAB: download the publication; DOAB: description of the publication

Coastal regions are susceptible to rapid changes, as they constitute the boundary between the land and the sea. The resilience of a particular segment of coast depends on many factors, including climate change, sea-level changes, natural and technological hazards, extraction of natural resources, po...