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Participatory Forestry: Involvement, Information and Science
| Participatory Forestry: Involvement, Information and Science |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (250 p.) |
| Soggetto non controllato |
forest planning
green space quality assessment forest management practice forest degradation urban trees Slovenia participatory process transdisciplinary research deliberative-analytical process panarchy theory participatory forums climate change community forestry empathetic utility functions smallholder questionnaire survey British Columbia Ghana cocoa participatory entrepreneurial education Natura 2000 deforestation social assessment climate change mitigation stakeholder analysis social network analysis social forestry REDD+ photography participation interviews survey diffusion traditional knowledge forest carbon AI decision-making algorithms stakeholders participatory modeling innovative training stakeholders’ involvement appraisal slash-and-burn agriculture public opinion user participation public participation summer-winter forest multifunctionality preferences community-based forest management forest management urban woodland management national forest policy framework perceptions forest governance stakeholder engagement forest history role-playing games assessment of sustainability management program forestry training |
| ISBN | 978-3-03921-332-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Participatory Forestry |
| Record Nr. | UNINA-9910367568703321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters
| Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters |
| Autore | Sanchez Juanma Lopez |
| 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 | 3-03921-240-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Remote Sensing of Leaf Area Index |
| Record Nr. | UNINA-9910367563203321 |
Sanchez Juanma Lopez
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||