Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass
| Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass |
| Autore | Aranha José |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (276 p.) |
| Soggetto topico |
Geography
Research and information: general |
| Soggetto non controllato |
above-ground biomass
aboveground biomass AGB estimation and mapping allometric equation ALOS DSM ALOS-2 L band SAR bark roughness bioenergy biomass density biomass estimation DBH diameter at breast height ecosystem services forest AGC estimation forest biomass estimation forest growing stock volume forest inventory data forest succession forest type GEOMON GIS individual tree detection landsat Landsat 8 OLI Landsat dataset leaf area index LiDAR machine learning machine learning algorithms mangroves map quality multiple ES interactions multisource remote sensing nondestructive method norway spruce ordinary kriging Pinus massoniana plantations plant area index random forest remote sensing seasonal images sentinel 2 Sentinel-1 C band SAR Sentinel-2 MSI Sentinel-2A shrubs biomass spatiotemporal evolution SPOT6 imagery stand volume stepwise regression subtropical forest subtropical forests support vector machine for regression synergy terrestrial laser scanning trade-off tree height UAV LiDAR urban vegetation valley basin variable selection vegetation indices WorldView-2 Xuzhou |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557474803321 |
Aranha José
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Forests for a Better Future Sustainability, Innovation and Interdisciplinarity
| Forests for a Better Future Sustainability, Innovation and Interdisciplinarity |
| Autore | Lo Monaco Angela |
| Descrizione fisica | 1 online resource (312 p.) |
| Soggetto topico |
Biology, life sciences
Forestry industry Research and information: general |
| Soggetto non controllato |
air pollution
alpha pinene anti shrinkage efficiency bark structure bark types biocontrol biomass Botryosphaeriaceae Cameroon Capreolus capreolus classification climate change climate change mitigation colour daily activity deep learning disturbances drone sensor energy chain fire hazard fire ignition forest biomass forest biomass estimation forest restoration forest therapy forward selection growth equations growth rates growth reduction GWP harvesting cost hierarchical multiple regression human disturbances InVEST isochronous rings kriging regression landscape metrics life cycle assessment log properties Lomatia hirsuta lytic enzymes mean lifetime mechanical properties mental health moon phases multi-tree felling head n/a natural and technogenic ecosystems natural forest NDVI numerical simulation Patagonia permafrost physical activity physical properties pine bark extracts Pinus sylvestris pioneer tree species Poland poplar poplar productivity QGIS quality wood recreational development remote sensing residual biomass risk rotation length round wood transport roundwood measurement S2 NDWI sawlogs deliveries sawlogs sourcing Scots pine semiconductor metal oxide gas sensors sensory gardens Siberia small-diameter tree social inclusion soil solid wood content SRC stability of stands stack volume standing and lying dead wood stump shoots survival analysis therapeutic space thermal anomaly thermal energy time study transport cost transport work optimization travel time tree age distribution tree plantations tree species tree-ring Trichoderma citrinoviride trunk analysis UAV ungulate universal design urban environment urban forests urban green areas variogram model VOC VOCs wellbeing wildfires wood energy supply chain wood modification wood supply chain |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595074803321 |
Lo Monaco Angela
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| Lo trovi qui: Univ. Federico II | ||
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