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Fiducial Reference Measurements for Satellite Ocean Colour
Fiducial Reference Measurements for Satellite Ocean Colour
Autore Banks Andrew Clive
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (508 p.)
Soggetto topico Research & information: general
Soggetto non controllato VIIRS
SNPP
NOAA-20
DINEOF
ocean color data
data merging
gap-filling
ocean color radiometers
radiometric calibration
indoor intercomparison measurement
agreement between sensors
measurement uncertainty
field intercomparison measurement
Hyperspectral reflectance
validation
autonomous measurements
ground-truth data
system design
downwelling irradiance
satellite validation
Fiducial Reference Measurements
water reflectance
satellite
calibration
solar diffusor
SDSM
desert trend
lunar calibration
RVS
MODIS
Aqua
ocean color
water-leaving radiance
atmospheric correction
Sentinel-3 OLCI
Copernicus
ocean colour
system vicarious calibration
fiducial reference measurement
Lampedusa
MOBY
MarONet
radiometry
research infrastructure
uncertainty budget
satellite ocean colour
fiducial reference measurements (FRM)
calibration and validation
SI traceability and uncertainty
European Space Agency (ESA)
Committee for Earth Observation Satellites (CEOS)
fiducial reference measurements
SI-traceability
Mediterranean Sea
BOUSSOLE
MSEA
hyper-temporal dataset
optical radiometry
coastal environment
observation geometry
remote sensing reflectance
ocean colour radiometers
TriOS RAMSES
Seabird HyperSAS
field intercomparison
AERONET-OC
Acqua Alta Oceanographic Tower
remote sensing
spectral irradiance comparison
spectral radiance sources comparison
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557797803321
Banks Andrew Clive  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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