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