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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 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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Snow and Its Applications
| Remote Sensing of Snow and Its Applications |
| Autore | Nadir Arslan Ali |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (190 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
near-infrared reflectance
specific surface area spectrometer snow microstructure aerodynamic roughness length terrestrial lidar snow surface topography wind profile snow energy balance snow accumulation snow cover snow depletion curve MODIS data assimilation land surface model COST Action ES1404 HarmoSnow snow measurements snow models remote sensing snow SWE LWC run-off modelling hydropower application GNSS EO snow cover duration persistent and intermittent snow optical remote sensing northern Mongolia SAR transient snowline annual AAR mass balance Rofental glaciers fractional snow cover terrestrial photography cold regions Sentinel-2 H-SAF webcam photography snow parameters spatial and temporal variability of snow snow hydrology integration of remote sensing with models (hydrological land surface meteorological and climate) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557748203321 |
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Nadir Arslan Ali
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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