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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.

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 --- 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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

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 --- modified soil-adjusted vegetation index 2-MSAVI2 --- normalized difference water index 2-NDWI2 --- brightness index 2-BI2