Explore
Applications of Remote Sensing in Coastal Areas
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 191 times via unglue.it ebook links.
- 58 - pdf (CC BY) at Unglue.it.
- 129 - pdf (CC BY) at res.mdpi.com.
Keywords
- ASAR
- barrier island
- beach topography
- Bohai sea ice
- cliff coastlines
- coastal monitoring
- coastal ocean
- Coastal process
- coastal remote sensing
- coastline
- contour extraction
- CubeSats
- data cube
- drone
- dune vegetation classification
- dunes
- Euclidean distance
- Geography
- ground settlement
- habitat mapping
- Hainan Island
- harmonization
- heat advection
- hydrography
- hypertemporal
- intensity integral error
- land cover
- Landsat
- LiDAR
- MABEL
- marine reclamation land
- morphological change
- multi-sensor
- multi-temporal NDVI
- multispectral satellite images
- mutual information
- n/a
- new feature
- non-parametric Bayesian network
- object-based classification
- object-based image analysis (OBIA)
- oceanic thermal response
- OLCI imagery
- Photogrammetry
- Photon-counting lidar
- pixel-based classification
- pixels based supervised classification
- PlanetScope
- Pleiades
- polarimetric decomposition
- polarimetric SAR
- random forest
- Reference, information & interdisciplinary subjects
- Remote sensing
- Research & information: general
- RTK-GPS
- satellite remote sensing
- satellite-derived bathymetry
- sea ice extent
- sea ice information index
- semi-global subpixel localization
- Sentinel-1
- ship detection
- shoreline mapping
- signal photons
- southern Baltic Sea
- sub-pixel
- surface water mapping
- terrestrial laser scanner
- thresholding
- time series InSAR
- Time-series analysis
- UAS data acquisition
- unmanned aerial system
- unmanned aerial vehicle (UAV)
- unmanned aircraft system (UAS)
- vegetation mapping
- water extraction
- water indices
- waterline extraction
- wind wake
- Xiamen New Airport
- zones of confidence
Links
DOI: 10.3390/books978-3-03928-659-1Editions