Remote Sensing Applications in Coastal Environment
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...
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| Year of Publication: | 2021 |
| Language: | English |
| Physical Description: | 1 electronic resource (282 p.) |
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(CKB)5400000000043038 (oapen)https://directory.doabooks.org/handle/20.500.12854/77104 (EXLCZ)995400000000043038 |
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Terefenko, Paweł edt Remote Sensing Applications in Coastal Environment Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 1 electronic resource (282 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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. English Research & information: general bicssc 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 3-0365-2613-7 3-0365-2612-9 Lubczonek, Jacek edt Paprotny, Dominik edt Terefenko, Paweł oth Lubczonek, Jacek oth Paprotny, Dominik oth |
| language |
English |
| format |
eBook |
| author2 |
Lubczonek, Jacek Paprotny, Dominik Terefenko, Paweł Lubczonek, Jacek Paprotny, Dominik |
| author_facet |
Lubczonek, Jacek Paprotny, Dominik Terefenko, Paweł Lubczonek, Jacek Paprotny, Dominik |
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p t pt j l jl d p dp |
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HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige |
| title |
Remote Sensing Applications in Coastal Environment |
| spellingShingle |
Remote Sensing Applications in Coastal Environment |
| title_full |
Remote Sensing Applications in Coastal Environment |
| title_fullStr |
Remote Sensing Applications in Coastal Environment |
| title_full_unstemmed |
Remote Sensing Applications in Coastal Environment |
| title_auth |
Remote Sensing Applications in Coastal Environment |
| title_new |
Remote Sensing Applications in Coastal Environment |
| title_sort |
remote sensing applications in coastal environment |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2021 |
| physical |
1 electronic resource (282 p.) |
| isbn |
3-0365-2613-7 3-0365-2612-9 |
| illustrated |
Not Illustrated |
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Remote Sensing Applications in Coastal Environment |
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