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...
Bewaard in:
| Formaat: | Online |
|---|---|
| Taal: | Engels |
| Gepubliceerd in: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
|
| Onderwerpen: | |
| Online toegang: | ONIX_20220111_9783036526133_936 |
| Tags: |
Geen labels, Wees de eerste die dit record labelt!
|
| _version_ | 1869525501771513856 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-77104 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-771042024-03-27T16:34:39Z Remote Sensing Applications in Coastal Environment Terefenko, Paweł Lubczonek, Jacek Paprotny, Dominik 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general 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. 2022-01-11T13:52:20Z 2022-01-11T13:52:20Z 2021 book ONIX_20220111_9783036526133_936 9783036526133 9783036526126 https://directory.doabooks.org/handle/20.500.12854/77104 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4723 https://mdpi.com/books/pdfview/book/4723 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-2612-6 10.3390/books978-3-0365-2612-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036526133 9783036526126 282 Basel, Switzerland open access |
| spellingShingle | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Remote Sensing Applications in Coastal Environment |
| title | 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_short | Remote Sensing Applications in Coastal Environment |
| title_sort | remote sensing applications in coastal environment |
| topic | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20220111_9783036526133_936 |