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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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Biophysical Parameters
| Remote Sensing of Biophysical Parameters |
| Autore | García-Haro Francisco Javier |
| Descrizione fisica | 1 online resource (274 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
6SV
active learning agriculture airborne laser scanning (ALS) artificial neural networks ASD Field Spec biophysical parameters (LAI burn severity canopy chlorophyll content canopy loss canopy water content CCC climate data records (CDR) clumping index (CI) Discrete Anisotropic Radiative Transfer (DART) model EnMAP equivalent water thickness FAPAR FAPAR) fluorescence forest fraction of photosynthetically active radiation absorbed by vegetation (FPAR) FVC GPR hyperspectral in vivo INFORM invasive vegetation LAI Landsat 8 LaSRC LCC lead ions leaf area index leaf area index (LAI) LEDAPS machine learning meteosat second generation (MSG) Moderate Resolution Imaging Spectroradiometer (MODIS) MODIS multispectral sensor NDVI PROSAIL rapeseed crop remote sensing indices riparian SAIL Satellite Application Facility for Land Surface Analysis (LSA SAF) Sentinel-2 SEVIRI site-specific farming soil albedo spaceborne laser scanning (SLS) spectrometry spectroscopy SREM stochastic spectral mixture model (SSMM) surface reflectance terrestrial laser scanning (TLS) the fraction of radiation absorbed by photosynthetic components (FAPARgreen) three-dimensional radiative transfer model (3D RTM) triple-source uncertainty assessment unmanned aircraft vehicle vegetation indices vegetation radiative transfer model vertical foliage profile (VFP) wildfire woody area index (WAI) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595067603321 |
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García-Haro Francisco Javier
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| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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