Applications of Remote Sensing in Coastal Areas

Coastal areas are remarkable regions with high spatiotemporal variability. A large population is affected by their physical and biological processes-resulting from effects on tourism to biodiversity and productivity. Coastal ecosystems perform several critical ecosystem services and functions, such...

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Bibliographic Details
Other Authors: Topouzelis, Konstantinos (Editor), Papakonstantinou, Apostolos (Editor), Singha, Suman (Editor), Li, XiaoMing (Editor), Poursanidis, Dimitris (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
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Online Access:Get Fullteks
DOAB: description of the publication
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072 7 |a GP  |2 bicssc 
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100 1 |a Topouzelis, Konstantinos  |4 edt 
700 1 |a Papakonstantinou, Apostolos  |4 edt 
700 1 |a Singha, Suman  |4 edt 
700 1 |a Li, XiaoMing  |4 edt 
700 1 |a Poursanidis, Dimitris  |4 edt 
700 1 |a Topouzelis, Konstantinos  |4 oth 
700 1 |a Papakonstantinou, Apostolos  |4 oth 
700 1 |a Singha, Suman  |4 oth 
700 1 |a Li, XiaoMing  |4 oth 
700 1 |a Poursanidis, Dimitris  |4 oth 
245 1 0 |a Applications of Remote Sensing in Coastal Areas 
260 |a Basel, Switzerland  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2020 
300 |a 1 electronic resource (288 p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a Coastal areas are remarkable regions with high spatiotemporal variability. A large population is affected by their physical and biological processes-resulting from effects on tourism to biodiversity and productivity. Coastal ecosystems perform several critical ecosystem services and functions, such as water oxygenation and nutrients provision, seafloor and beach stabilization (as sediment is controlled and trapped within the rhizomes of the seagrass meadows), carbon burial, as areas for nursery, and as refuge for several commercial and endemic species. Knowledge of the spatial distribution of marine habitats is prerequisite information for the conservation and sustainable use of marine resources. Remote sensing from UAVs to spaceborne sensors is offering a unique opportunity to measure, analyze, quantify, map, and explore the processes on the coastal areas at high temporal frequencies. This Special Issue on "Application of Remote Sensing in Coastal Areas" is specifically addresses those successful applications-from local to regional scale-in coastal environments related to ecosystem productivity, biodiversity, sea level rise. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a Research & information: general  |2 bicssc 
650 7 |a Geography  |2 bicssc 
653 |a satellite remote sensing 
653 |a Landsat 
653 |a coastline 
653 |a barrier island 
653 |a morphological change 
653 |a coastal ocean 
653 |a Photon-counting lidar 
653 |a MABEL 
653 |a land cover 
653 |a remote sensing 
653 |a signal photons 
653 |a ground settlement 
653 |a marine reclamation land 
653 |a time series InSAR 
653 |a Sentinel-1 
653 |a Xiamen New Airport 
653 |a Pleiades 
653 |a photogrammetry 
653 |a LiDAR 
653 |a RTK-GPS 
653 |a beach topography 
653 |a cliff coastlines 
653 |a time-series analysis 
653 |a terrestrial laser scanner 
653 |a southern Baltic Sea 
653 |a non-parametric Bayesian network 
653 |a satellite-derived bathymetry 
653 |a hydrography 
653 |a CubeSats 
653 |a hypertemporal 
653 |a zones of confidence 
653 |a PlanetScope 
653 |a vegetation mapping 
653 |a dunes 
653 |a unmanned aerial system 
653 |a pixel-based classification 
653 |a object-based classification 
653 |a dune vegetation classification 
653 |a coastal monitoring 
653 |a multispectral satellite images 
653 |a multi-temporal NDVI 
653 |a pixels based supervised classification 
653 |a Random Forest 
653 |a harmonization 
653 |a shoreline mapping 
653 |a semi-global subpixel localization 
653 |a intensity integral error 
653 |a polarimetric SAR 
653 |a polarimetric decomposition 
653 |a ship detection 
653 |a Euclidean distance 
653 |a mutual information 
653 |a new feature 
653 |a Bohai sea ice 
653 |a sea ice extent 
653 |a OLCI imagery 
653 |a sea ice information index 
653 |a waterline extraction 
653 |a sub-pixel 
653 |a surface water mapping 
653 |a data cube 
653 |a contour extraction 
653 |a water extraction 
653 |a water indices 
653 |a thresholding 
653 |a Coastal process 
653 |a wind wake 
653 |a heat advection 
653 |a multi-sensor 
653 |a ASAR 
653 |a oceanic thermal response 
653 |a Hainan Island 
653 |a coastal remote sensing 
653 |a habitat mapping 
653 |a unmanned aerial vehicle (UAV) 
653 |a unmanned aircraft system (UAS) 
653 |a drone 
653 |a object-based image analysis (OBIA) 
653 |a UAS data acquisition 
653 |a n/a 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/68690  |7 0  |z DOAB: description of the publication