Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Diversity and Distribution of Forest Insects
| Diversity and Distribution of Forest Insects |
| Autore | Gwiazdowicz Dariusz J |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (176 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Forestry & related industries |
| Soggetto non controllato |
pine
Pinus invasion track new distribution alien trap Anisandrus dispar Cyclorhipidion bodoanum deadwood invasive species Xyleborus saxesenii Xyleborinus attenuatus Xylosandrus germanus Scolytinae Quercus associational susceptibility forest protection phenological synchrony Operophtera brumata Agriopis leucophaearia bud burst herbivory xylophagous beetles distribution Bursaphelenchus xylophilus biodiversity Pinus sylvestris Coleoptera Ips typographus Thanasimus spp bark beetles Norway spruce mass trapping attractants release rate trap type integrated pest management Collembola Arachnida Insecta ecology of arthropods zoogeography ambrosia beetle bark beetle MaxEnt insect pest alien species niche modelling biological invasions Lymantria dispar asiatica Asian spongy moth (ASM) female flight ability flight mill female age female flight duration female flight distance anthropogenic disturbances environmental monitoring forest reserve long-term research natural succession oak-hornbeam forests stability of mite communities Uropodina |
| ISBN | 3-0365-5980-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639989203321 |
Gwiazdowicz Dariusz J
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Operationalization of Remote Sensing Solutions for Sustainable Forest Management
| Operationalization of Remote Sensing Solutions for Sustainable Forest Management |
| Autore | Mozgeris Gintautas |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (296 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
forest road inventory
total station global navigation satellite system point cloud precision density positional accuracy efficiency mangrove sustainability deforestation depletion anthropogenic natural water balance Southeast Asia Phoracantha spp unmanned aerial vehicle (UAV) multispectral imagery vegetation index thresholding analysis Large Scale Mean-Shift Segmentation (LSMS) Random Forest (RF) forest mask validation probability sampling remote sensing earth observations forestry accuracy assessment forest classification forested catchment hydrological modeling SWAT model DEM airborne laser scanning deep learning Landsat national forest inventory stand volume bark beetle Ips typographus L. pest change detection forest damage spruce Sentinel-2 damage mapping multi-temporal regression mangrove replanting restoration analytic hierarchy process UAV DJI drone machine learning forest canopy canopy gaps canopy openings percentage satellite indices Elastic Net beech-fir forests pixel-based supervised classification random forest support vector machine gray level cooccurrence matrix (GLCM) principal component analysis (PCA) WorldView-3 wildfires MaxENT risk modeling GIS multi-scale analysis Yakutia Artic Siberia phenology modelling forest disturbance forest monitoring bark beetle infestation forest management time series analysis satellite imagery landsat time series growing stock volume forest inventory harmonic regression |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557584103321 |
|
Mozgeris Gintautas
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||