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Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019
| Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019 |
| Autore | Matese Alessandro |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (184 p.) |
| Soggetto topico |
Biology, life sciences
Forestry & related industries Research & information: general |
| Soggetto non controllato |
Accuracy Assessment
ancient trees measurement biomass evaluation burn severity Castanea sativa central Oregon classification convolutional neural network convolutional neural network (CNN) ecohydrology end-to-end learning establishment survey forest fire forest inventory forest modeling forest regeneration Forest Sampling forestry applications hyperspectral imagery image processing juniper woodlands leaf-off leaf-on machine learning Mauritia flexuosa multispectral classification multispectral image object-based image analysis (OBIA) photogrammetric point clouds Photogrammetry precision agriculture precision forestry rangelands Reference Data reforestation remote sensing Remote Sensing reproduction RGB imagery Robinia pseudoacacia L. seedling detection seedling stand inventorying semantic segmentation short rotation coppice spreading structure from motion (SfM) Thematic Mapping tree age prediction UAV UAV photogrammetry unmanned aerial system (UAS) unmanned aerial systems Unmanned Aerial Systems (UAS) unmanned aerial vehicles unmanned aerial vehicles (UAV) Unmanned Aerial Vehicles (UAV) |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Forestry Applications of Unmanned Aerial Vehicles |
| Record Nr. | UNINA-9910557112103321 |
Matese Alessandro
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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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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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