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Causes and Consequences of Species Diversity in Forest Ecosystems
| Causes and Consequences of Species Diversity in Forest Ecosystems |
| Autore | Gilliam Frank S |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (272 p.) |
| Soggetto non controllato |
gamma diversity
tree species Climatic change individual species-area relationship woody species TILD trees Pseudotsuga menziesii windthrow precipitation species conservation spatial analysis codispersion analysis variation partitioning herbaceous perennial species northern hardwood forests climate change stand development potential habitats Smithsonian ForestGEO tree regeneration forest conversion Biodiversity Exploratories trunk breakage topography questionnaire survey mid-domain effect assemblage lineage diversity Salicaceae salvaging temperate forests Shannon diversity USDA Forest Service tree species diversity Bray-Curtis species-area relationship Ericaceae legacies Picea abies herbaceous layer spatial patterns mountains United States wind damage abundance Hubbard Brook elevational shifts uprooting species diversity evolutionary diversity Pinus sylvestris natural disturbance-based silviculture Vietnam diversity Maxent human footprint productivity China microarthropod phylogenetic diversity temperature household respondents succession biodiversity tornado salvage logging excess nitrogen climate forest management understory plant communities Simpson diversity species richness landscape scale structural complexity tropical evergreen mixed forest seasonal variations disturbance severity competition and facilitation canopy structure Fagus sylvatica |
| ISBN | 3-03921-310-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346683003321 |
Gilliam Frank S
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| 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 |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (312 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Forestry & related industries |
| Soggetto non controllato |
physical activity
mental health landscape metrics hierarchical multiple regression round wood transport wood supply chain transport work optimization sawlogs deliveries sawlogs sourcing small-diameter tree forest biomass multi-tree felling head time study harvesting cost tree plantations growth equations rotation length growth rates poplar productivity energy chain residual biomass isochronous rings travel time transport cost UAV VOC drone sensor semiconductor metal oxide gas sensors alpha pinene log properties stack volume solid wood content roundwood measurement wood modification mechanical properties physical properties anti shrinkage efficiency colour Cameroon biomass poplar SRC thermal energy life cycle assessment GWP wood energy supply chain Lomatia hirsuta Patagonia pioneer tree species stump shoots quality wood trunk analysis stability of stands Capreolus capreolus ungulate urban forests human disturbances daily activity moon phases disturbances wildfires natural and technogenic ecosystems permafrost thermal anomaly soil numerical simulation remote sensing Siberia mean lifetime natural forest survival analysis tree age distribution bark structure Pinus sylvestris forward selection bark types forest therapy urban environment sensory gardens wellbeing social inclusion recreational development universal design urban green areas therapeutic space deep learning tree species classification Scots pine tree-ring air pollution growth reduction climate change Poland climate change mitigation forest restoration forest biomass estimation standing and lying dead wood variogram model kriging regression Botryosphaeriaceae biocontrol pine bark extracts Trichoderma citrinoviride VOCs lytic enzymes fire ignition fire hazard QGIS InVEST NDVI S2 NDWI risk |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595074803321 |
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Lo Monaco Angela
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hyperspectral Imaging and Applications
| Hyperspectral Imaging and Applications |
| Autore | Chang Chein-I |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (632 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
biodiversity
peatland vegetation type classification hyperspectral in situ measurements hyperspectral image (HSI) multiscale union regions adaptive sparse representation (MURASR) multiscale spatial information imaging spectroscopy airborne laser scanning minimum noise fraction class imbalance Africa agroforestry tree species hyperspectral unmixing endmember extraction band selection spectral variability prototype space ensemble learning rotation forest semi-supervised local discriminant analysis optical spectral region thermal infrared spectral region mineral mapping data integration HyMap AHS raw material remote sensing nonnegative matrix factorization data-guided constraints sparseness evenness hashing ensemble hierarchical feature hyperspectral classification band expansion process (BEP) constrained energy minimization (CEM) correlation band expansion process (CBEP) iterative CEM (ICEM) nonlinear band expansion (NBE) Otsu’s method sparse unmixing local abundance nuclear norm hyperspectral detection target detection sprout detection constrained energy minimization iterative algorithm adaptive window hyperspectral imagery recursive anomaly detection local summation RX detector (LS-RXD) sliding window band selection (BS) band subset selection (BSS) hyperspectral image classification linearly constrained minimum variance (LCMV) successive LCMV-BSS (SC LCMV-BSS) sequential LCMV-BSS (SQ LCMV-BSS) vicarious calibration reflectance-based method irradiance-based method Dunhuang site 90° yaw imaging terrestrial hyperspectral imaging vineyard water stress machine learning tree-based ensemble progressive sample processing (PSP) real-time processing image fusion hyperspectral image panchromatic image structure tensor image enhancement weighted fusion spectral mixture analysis fire severity AVIRIS deep belief networks deep learning texture feature enhancement band grouping hyperspectral compression lossy compression on-board compression orthogonal projections Gram–Schmidt orthogonalization parallel processing anomaly detection sparse coding KSVD hyperspectral images (HSIs) SVM composite kernel algebraic multigrid methods hyperspectral pansharpening panchromatic intrinsic image decomposition weighted least squares filter spectral-spatial classification label propagation superpixel semi-supervised learning rolling guidance filtering (RGF) graph deep pipelined background statistics high-level synthesis data fusion data unmixing hyperspectral imaging |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585941603321 |
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Chang Chein-I
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
| Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences |
| Autore | Vohland Michael |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (218 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
hyperspectral
topographic correction atmospheric correction radiometric correction long-range long-distance Structure from Motion (SfM) photogrammetry mineral mapping minimum wavelength mapping Maarmorilik Riotinto Hyperspectral image bio-optical algorithm phycocyanin chlorophyll-a mangrove species classification close-range hyperspectral imaging field hyperspectral measurement waveband selection machine learning instrument development spectroradiometry telescope receiver soil soil salinity unmanned aerial vehicle hyperspectral imager random forest regression electromagnetic induction hyperspectral imaging tree species multiple classifier fusion convolutional neural network random forest rotation forest sea ice ice algae biomass fine-scale under-ice underwater antarctica structure from motion georectification mosaicking push-broom UAV chlorophyll a colored dissolved organic matter in situ measurements vertical distribution water column snapshot hyperspectral imaging |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557368003321 |
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Vohland Michael
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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