TY - BOOK ID - 133768831 TI - Remote Sensing Applications in Coastal Environment AU - Terefenko, Paweł AU - Lubczonek, Jacek AU - Paprotny, Dominik PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Research & information: general KW - big data applications KW - data processing KW - data visualization KW - neural networks KW - reduction KW - coastal waters KW - urban expansion KW - remote sensing and GIS KW - expansion types and rates KW - major explanatory factors KW - Miami metropolitan area KW - cliff coastlines KW - cliff retreat KW - time-series analysis KW - airborne laser scanner KW - warm upwelling KW - sea surface temperature KW - numerical modelling KW - winter KW - southern Baltic Sea KW - beach monitoring KW - mobile terrestrial LiDAR KW - intensity calibration KW - beach surface moisture KW - Baltic coast KW - Poland KW - CORINE Land Cover KW - land cover flow KW - urbanisation KW - afforestation KW - deforestation KW - spatial analysis KW - SDGs KW - coastal habitats KW - ecosystem monitoring KW - land cover mapping KW - random forest algorithm KW - Sentinel-2 KW - modified soil-adjusted vegetation index 2–MSAVI2 KW - normalized difference water index 2–NDWI2 KW - brightness index 2–BI2 KW - oil spill KW - remote sensing KW - review KW - machine learning KW - deep learning KW - trajectory modeling KW - vulnerability assessment KW - coastal geomorphology KW - shoreline change KW - coastal process KW - monitoring KW - geomatic techniques KW - Po River Delta KW - archival multi-temporal data KW - coastline changes KW - emerged/submerged surfaces KW - land subsidence KW - relative sea level rise 2100 KW - land cover KW - dune coast KW - air photograph KW - South Baltic Sea KW - coastal monitoring KW - estuaries KW - IoT KW - lidar KW - n/a KW - modified soil-adjusted vegetation index 2-MSAVI2 KW - normalized difference water index 2-NDWI2 KW - brightness index 2-BI2 UR - https://www.unicat.be/uniCat?func=search&query=sysid:133768831 AB - 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, population growth, and tourism. Recent research highlights the strong capabilities for remote sensing applications to monitor, inventory, and analyze the coastal environment. This book contains 12 high-quality and innovative scientific papers that explore, evaluate, and implement the use of remote sensing sensors within both natural and built coastal environments. ER -