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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Bibliographic Details
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
IoT
n/a
Online Access:Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication
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720 1 |a Lubczonek, Jacek  |4 edt 
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720 1 |a Paprotny, Dominik  |4 edt 
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520 |a 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. 
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650 7 |a Research and information: general  |2 bicssc 
653 |a afforestation 
653 |a air photograph 
653 |a airborne laser scanner 
653 |a archival multi-temporal data 
653 |a Baltic coast 
653 |a beach monitoring 
653 |a beach surface moisture 
653 |a big data applications 
653 |a brightness index 2-BI2 
653 |a cliff coastlines 
653 |a cliff retreat 
653 |a coastal geomorphology 
653 |a coastal habitats 
653 |a coastal monitoring 
653 |a coastal process 
653 |a coastal waters 
653 |a coastline changes 
653 |a CORINE Land Cover 
653 |a data processing 
653 |a data visualization 
653 |a deep learning 
653 |a deforestation 
653 |a dune coast 
653 |a ecosystem monitoring 
653 |a emerged/submerged surfaces 
653 |a estuaries 
653 |a expansion types and rates 
653 |a geomatic techniques 
653 |a intensity calibration 
653 |a IoT 
653 |a land cover 
653 |a land cover flow 
653 |a land cover mapping 
653 |a land subsidence 
653 |a lidar 
653 |a machine learning 
653 |a major explanatory factors 
653 |a Miami metropolitan area 
653 |a mobile terrestrial LiDAR 
653 |a modified soil-adjusted vegetation index 2-MSAVI2 
653 |a monitoring 
653 |a n/a 
653 |a neural networks 
653 |a normalized difference water index 2-NDWI2 
653 |a numerical modelling 
653 |a oil spill 
653 |a Po River Delta 
653 |a Poland 
653 |a random forest algorithm 
653 |a reduction 
653 |a relative sea level rise 2100 
653 |a remote sensing 
653 |a remote sensing and GIS 
653 |a review 
653 |a SDGs 
653 |a sea surface temperature 
653 |a Sentinel-2 
653 |a shoreline change 
653 |a South Baltic Sea 
653 |a southern Baltic Sea 
653 |a spatial analysis 
653 |a time-series analysis 
653 |a trajectory modeling 
653 |a urban expansion 
653 |a urbanisation 
653 |a vulnerability assessment 
653 |a warm upwelling 
653 |a winter 
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856 4 0 |u https://mdpi.com/books/pdfview/book/4723  |7 0  |z Open Access: DOAB, download the publication