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Remote Sensing in Agriculture: State-of-the-Art
Remote Sensing in Agriculture: State-of-the-Art
Autore Borgogno-Mondino Enrico
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (220 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Environmental science, engineering & technology
Soggetto non controllato feature selection
spectral angle mapper
support vector machine
support vector regression
hyperspectral imaging
UAV
cross-scale
yellow rust
spatial resolution
winter wheat
MODIS
northern Mongolia
remote sensing indices
spring wheat
yield estimation
UAV-based LiDAR
biomass
crop height
field phenotyping
oasis crop type mapping
Sentinel-1 and 2 integration
statistically homogeneous pixels (SHPs)
red-edge spectral bands and indices
recursive feature increment (RFI)
random forest (RF)
unmanned aerial vehicles (UAVs)
remote sensing (RS)
thermal UAV RS
thermal infrared (TIR)
precision agriculture (PA)
crop water stress monitoring
plant disease detection
vegetation status monitoring
Landsat
data blending
crop yield prediction
gap-filling
volumetric soil moisture
synthetic aperture radar (SAR)
Sentinel-1
soil moisture semi-empirical model
soil moisture Karnataka India
reflectance
digital number (DN)
vegetation index (VI)
Parrot Sequoia (Sequoia)
DJI Phantom 4 Multispectral (P4M)
Synthetic Aperture Radar
SAR
lodging
Hidden Markov Random Field
HMRF
CDL
corn
soybean
crop Monitoring
crop management
apple orchard damage
polarimetric decomposition
entropy
anisotropy
alpha angle
storm damage mapping
economic loss
insurance support
ISBN 3-0365-5484-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Remote Sensing in Agriculture
Record Nr. UNINA-9910637779903321
Borgogno-Mondino Enrico  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing of Flow Velocity, Channel Bathymetry, and River Discharge
Remote Sensing of Flow Velocity, Channel Bathymetry, and River Discharge
Autore Legleiter Carl
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (286 p.)
Soggetto topico Research & information: general
Soggetto non controllato estuary
morphology
rapid assessment
bathymetry
flow velocity
salinity
tool
remotely-sensed imagery
small unmanned aerial system (sUAS)
river flow
thermal infrared imagery
particle image velocimetry
lidar bathymetry
fluvial
geomorphology
change detection
remotely piloted aircraft system
refraction correction
structure-from-motion photogrammetry
water surface elevation
topographic error
machine learning
UAV LiDAR
airborne laser bathymetry
full waveform processing
performance assessment
high resolution hydro-mapping
remote sensing
rivers
discharge
hydrology
modelling
ungauged basins
Alaska
river
PIV
large-scale particle image velocimetry
LSPIV
surface velocity
river discharge
Doppler radar
pulsed radar
probability concept
water temperature
salmonids
Pend Oreille River
thermal infrared (TIR)
acoustic Doppler current profiler (ADCP)
channel bathymetry
cold-water refuge
dam
flooding
high-water marks (HWMs)
small unmanned aircraft systems (sUAS)
drone
photogrammetry
hydraulic modeling
aerial photography
surveying
inundation
Landsat
streamflow
flow frequency
satellite revisit time
flow regime
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557114203321
Legleiter Carl  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui