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Applications of Remote Sensing in Coastal Areas
Applications of Remote Sensing in Coastal Areas
Autore Topouzelis Konstantinos
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (288 p.)
Soggetto topico Geography
Research & information: general
Soggetto non controllato 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
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
remote sensing
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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557555803321
Topouzelis Konstantinos  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019
Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019
Autore Matese Alessandro
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (184 p.)
Soggetto topico Biology, life sciences
Forestry & related industries
Research & information: general
Soggetto non controllato Accuracy Assessment
ancient trees measurement
biomass evaluation
burn severity
Castanea sativa
central Oregon
classification
convolutional neural network
convolutional neural network (CNN)
ecohydrology
end-to-end learning
establishment survey
forest fire
forest inventory
forest modeling
forest regeneration
Forest Sampling
forestry applications
hyperspectral imagery
image processing
juniper woodlands
leaf-off
leaf-on
machine learning
Mauritia flexuosa
multispectral classification
multispectral image
object-based image analysis (OBIA)
photogrammetric point clouds
Photogrammetry
precision agriculture
precision forestry
rangelands
Reference Data
reforestation
remote sensing
Remote Sensing
reproduction
RGB imagery
Robinia pseudoacacia L.
seedling detection
seedling stand inventorying
semantic segmentation
short rotation coppice
spreading
structure from motion (SfM)
Thematic Mapping
tree age prediction
UAV
UAV photogrammetry
unmanned aerial system (UAS)
unmanned aerial systems
Unmanned Aerial Systems (UAS)
unmanned aerial vehicles
unmanned aerial vehicles (UAV)
Unmanned Aerial Vehicles (UAV)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Forestry Applications of Unmanned Aerial Vehicles
Record Nr. UNINA-9910557112103321
Matese Alessandro  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui