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 |
García-Haro Francisco Javier
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| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters / Hongliang Fang, Juanma Lopez Sanchez, Francisco Javier García-Haro
| Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters / Hongliang Fang, Juanma Lopez Sanchez, Francisco Javier García-Haro |
| Autore | Fang Hongliang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (334 p.) |
| Soggetto non controllato |
artificial neural network
downscaling simulation 3D point cloud European beech consistency adaptive threshold evaluation photosynthesis geographic information system P-band PolInSAR validation density-based clustering structure from motion (SfM) EPIC Tanzania signal attenuation trunk canopy closure REDD+ unmanned aerial vehicle (UAV) forest recursive feature elimination Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) aboveground biomass random forest uncertainty household survey spectral information forests biomass root biomass biomass unmanned aerial vehicle Brazilian Amazon VIIRS global positioning system LAI photochemical reflectance index (PRI) allometric scaling and resource limitation R690/R630 modelling aboveground biomass leaf area index forest degradation spectral analyses terrestrial laser scanning BAAPA leaf area index (LAI) stem volume estimation tomographic profiles polarization coherence tomography (PCT) canopy gap fraction automated classification HemiView remote sensing multisource remote sensing Pléiades imagery photogrammetric point cloud farm types terrestrial LiDAR altitude RapidEye forest aboveground biomass recovery southern U.S. forests NDVI machine-learning conifer forest satellite chlorophyll fluorescence (ChlF) tree heights phenology point cloud local maxima clumping index MODIS digital aerial photograph Mediterranean hemispherical sky-oriented photo managed temperate coniferous forests fixed tree window size drought GLAS smartphone-based method forest above ground biomass (AGB) forest inventory over and understory cover sampling design |
| ISBN |
9783039212408
3039212400 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367563203321 |
Fang Hongliang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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