Reprint
Applications of Remote Sensing in Coastal Areas
Edited by
June 2020
288 pages
- ISBN978-3-03928-658-4 (Paperback)
- ISBN978-3-03928-659-1 (PDF)
This is a Reprint of the Special Issue Applications of Remote Sensing in Coastal Areas that was published in
Engineering
Environmental & Earth Sciences
Summary
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.
Format
- Paperback
License and Copyright
© 2020 by the authors; CC BY-NC-ND license
Keywords
satellite remote sensing; Landsat; coastline; barrier island; morphological change; coastal ocean; Photon-counting lidar; MABEL; land cover; remote sensing; signal photons; ground settlement; marine reclamation land; time series InSAR; Sentinel-1; Xiamen New Airport; Pleiades; photogrammetry; LiDAR; RTK-GPS; beach topography; cliff coastlines; time-series analysis; terrestrial laser scanner; southern Baltic Sea; non-parametric Bayesian network; satellite-derived bathymetry; hydrography; CubeSats; hypertemporal; zones of confidence; PlanetScope; vegetation mapping; dunes; unmanned aerial system; pixel-based classification; object-based classification; dune vegetation classification; coastal monitoring; multispectral satellite images; multi-temporal NDVI; pixels based supervised classification; Random Forest; harmonization; shoreline mapping; semi-global subpixel localization; intensity integral error; polarimetric SAR; polarimetric decomposition; ship detection; Euclidean distance; mutual information; new feature; Bohai sea ice; sea ice extent; OLCI imagery; sea ice information index; waterline extraction; sub-pixel; surface water mapping; coastal monitoring; data cube; contour extraction; water extraction; water indices; thresholding; remote sensing; Coastal process; wind wake; heat advection; multi-sensor; ASAR; oceanic thermal response; Hainan Island; coastal remote sensing; habitat mapping; unmanned aerial vehicle (UAV); unmanned aircraft system (UAS); drone; object-based image analysis (OBIA); UAS data acquisition; n/a