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
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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