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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 online resource (508 p.)
Soggetto topico Research and information: general
Soggetto non controllato Acqua Alta Oceanographic Tower
AERONET-OC
agreement between sensors
Aqua
atmospheric correction
autonomous measurements
BOUSSOLE
calibration
calibration and validation
coastal environment
Committee for Earth Observation Satellites (CEOS)
Copernicus
data merging
desert trend
DINEOF
downwelling irradiance
European Space Agency (ESA)
fiducial reference measurement
fiducial reference measurements
Fiducial Reference Measurements
fiducial reference measurements (FRM)
field intercomparison
field intercomparison measurement
gap-filling
ground-truth data
hyper-temporal dataset
Hyperspectral reflectance
indoor intercomparison measurement
Lampedusa
lunar calibration
MarONet
measurement uncertainty
Mediterranean Sea
MOBY
MODIS
MSEA
NOAA-20
observation geometry
ocean color
ocean color data
ocean color radiometers
ocean colour
ocean colour radiometers
optical radiometry
radiometric calibration
radiometry
remote sensing
remote sensing reflectance
research infrastructure
RVS
satellite
satellite ocean colour
satellite validation
SDSM
Seabird HyperSAS
Sentinel-3 OLCI
SI traceability and uncertainty
SI-traceability
SNPP
solar diffusor
spectral irradiance comparison
spectral radiance sources comparison
system design
system vicarious calibration
TriOS RAMSES
uncertainty budget
validation
VIIRS
water reflectance
water-leaving radiance
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 online resource (220 p.)
Soggetto topico Environmental science, engineering and technology
History of engineering and technology
Technology: general issues
Soggetto non controllato alpha angle
anisotropy
apple orchard damage
biomass
CDL
corn
crop height
crop management
crop Monitoring
crop water stress monitoring
crop yield prediction
cross-scale
data blending
digital number (DN)
DJI Phantom 4 Multispectral (P4M)
economic loss
entropy
feature selection
field phenotyping
gap-filling
Hidden Markov Random Field
HMRF
hyperspectral imaging
insurance support
Landsat
lodging
MODIS
northern Mongolia
oasis crop type mapping
Parrot Sequoia (Sequoia)
plant disease detection
polarimetric decomposition
precision agriculture (PA)
random forest (RF)
recursive feature increment (RFI)
red-edge spectral bands and indices
reflectance
remote sensing (RS)
remote sensing indices
SAR
Sentinel-1
Sentinel-1 and 2 integration
soil moisture Karnataka India
soil moisture semi-empirical model
soybean
spatial resolution
spectral angle mapper
spring wheat
statistically homogeneous pixels (SHPs)
storm damage mapping
support vector machine
support vector regression
Synthetic Aperture Radar
synthetic aperture radar (SAR)
thermal infrared (TIR)
thermal UAV RS
UAV
UAV-based LiDAR
unmanned aerial vehicles (UAVs)
vegetation index (VI)
vegetation status monitoring
volumetric soil moisture
winter wheat
yellow rust
yield estimation
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