Info
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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 online resource (286 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
acoustic Doppler current profiler (ADCP)
aerial photography airborne laser bathymetry Alaska bathymetry change detection channel bathymetry cold-water refuge dam discharge Doppler radar drone estuary flooding flow frequency flow regime flow velocity fluvial full waveform processing geomorphology high resolution hydro-mapping high-water marks (HWMs) hydraulic modeling hydrology inundation Landsat large-scale particle image velocimetry lidar bathymetry LSPIV machine learning modelling morphology particle image velocimetry Pend Oreille River performance assessment photogrammetry PIV probability concept pulsed radar rapid assessment refraction correction remote sensing remotely piloted aircraft system remotely-sensed imagery river river discharge river flow rivers salinity salmonids satellite revisit time small unmanned aerial system (sUAS) small unmanned aircraft systems (sUAS) streamflow structure-from-motion photogrammetry surface velocity surveying thermal infrared (TIR) thermal infrared imagery tool topographic error UAV LiDAR ungauged basins water surface elevation water temperature |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557114203321 |
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Legleiter Carl
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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