3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
Autore | Latifi Hooman |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (188 p.) |
Soggetto non controllato |
normalized difference vegetation index (NDVI)
SRTMGL1 SPOT-6 urban ecology terrestrial laser scanner Lantana camara terrestrial laser scanning harvester product recovery imputation optimization multi-spectral function ZiYuan-3 stereo images spatial noise 3D remote sensing tree measurement diameter at breast height (DBH) DSM metabolic scale theory municipal forestry digital photogrammetry Norway spruce missing observations interrater agreement measurement error stump height Fractional cover analysis google earth engine high-voltage power transmission lines habitat fragmentation codispersion coefficient forest fire tree height nu SVR RapidEye uneven-aged mountainous random Hough transform kriging street trees ground validation Google Street View laser species identification composition maximum forest heights mountainous areas landscape fragmentation Landsat 8 forest canopy height allometric scaling and resource limitation model urban forestry point cloud GSV stump diameter structure 3D codispersion map forest ecology polarimetery crowdsourced data |
ISBN | 3-03921-783-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | 3D Remote Sensing Applications in Forest Ecology |
Record Nr. | UNINA-9910367744003321 |
Latifi Hooman
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Remote Sensing-based Disaster Monitoring and Assessment |
Autore | Im Jungho |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (232 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
wildfire
satellite vegetation indices live fuel moisture empirical model function Southern California chaparral ecosystem forest fire forest recovery satellite remote sensing vegetation index burn index gross primary production South Korea land subsidence PS-InSAR uneven settlement building construction Beijing urban area floodplain delineation inaccessible region machine learning flash flood risk LSSVM China Himawari-8 threshold-based algorithm remote sensing dryness monitoring soil moisture NIR-Red spectral space Landsat-8 MODIS Xinjiang province of China SDE PE groundwater level compressible sediment layer tropical cyclone formation WindSat disaster monitoring wireless sensor network debris flow anomaly detection deep learning accelerometer sensor total precipitable water Himawari-8 AHI random forest deep neural network XGBoost |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557765003321 |
Im Jungho
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Carbon and Nitrogen in Forest Ecosystems—Series I |
Autore | Son Yowhan |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (180 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
Soggetto non controllato |
carbon
decomposition disturbance ecosystem process extracellular enzymes exoenzymes forest fire nitrogen soil enzymes succession net primary production spatiotemporal patterns climate change phenology China protected forest carbon sequestration Abies religiosa soil organic carbon dissolved organic matter nitrogen addition Phyllostachys edulis carbon cycling Pinus resinosa soil respiration stand age carbon mass NPP Picea crassifolia carbon balance Qinling Mountains biomass regression model eddy covariance net primary productivity net ecosystem exchange hyphal exploration strategy atmospheric nitrogen deposition Russula deep soil forest floor forest management fertilization thinning fixed depth equivalent soil mass soil nitrogen mineralization plant-soil interactions resin core method forest conversion headwater catchment |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910674053003321 |
Son Yowhan
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Forest Fire Risk Prediction |
Autore | Nolan Rachael |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (235 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences Forestry & related industries |
Soggetto non controllato |
fire danger rating
fire management fire regime fire size fire weather Portugal critical LFMC threshold forest/grassland fire radiative transfer model remote sensing southwest China acid rain aerosol biomass burning forest fire PM2.5 direct estimation meteorological factor regression moisture content time lag forest fire driving factors forest fire occurrence random forest forest fire management China Cupressus sempervirens fire risk fuels fuel moisture content mass loss calorimeter Seiridium cardinale vulnerability to wildfires disease alien pathogen allochthonous species introduced fungus drying tests humidity diffusion coefficients wildfire prescribed burning modeling drought flammability fuel moisture leaf water potential plant traits climate change MNI fire season fire behavior crown fire fire modeling senescence foliar moisture content canopy bulk density fire danger fire weather patterns RCP FWI system SSR occurrence of forest fire machine learning variable importance prediction accuracy epicormic resprouter eucalyptus fire severity flammability feedbacks temperate forest |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557387103321 |
Nolan Rachael
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019 |
Autore | Matese Alessandro |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (184 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences Forestry & related industries |
Soggetto non controllato |
unmanned aerial vehicles
seedling detection forest regeneration reforestation establishment survey machine learning multispectral classification UAV photogrammetry forest modeling ancient trees measurement tree age prediction Mauritia flexuosa semantic segmentation end-to-end learning convolutional neural network forest inventory Unmanned Aerial Systems (UAS) structure from motion (SfM) Unmanned Aerial Vehicles (UAV) Photogrammetry Thematic Mapping Accuracy Assessment Reference Data Forest Sampling Remote Sensing Robinia pseudoacacia L. reproduction spreading short rotation coppice unmanned aerial system (UAS) object-based image analysis (OBIA) convolutional neural network (CNN) juniper woodlands ecohydrology remote sensing unmanned aerial systems central Oregon rangelands seedling stand inventorying photogrammetric point clouds hyperspectral imagery leaf-off leaf-on UAV multispectral image forest fire burn severity classification precision agriculture biomass evaluation image processing Castanea sativa unmanned aerial vehicles (UAV) precision forestry forestry applications RGB imagery |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Forestry Applications of Unmanned Aerial Vehicles |
Record Nr. | UNINA-9910557112103321 |
Matese Alessandro
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Wildfire Hazard and Risk Assessment |
Autore | Meldrum James R |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (222 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences Forestry & related industries |
Soggetto non controllato |
wildfire risk
object-oriented image analysis Sentinel-2 fire behavior flammap wildfire management water supply erosion wildfire containment Potential fire Operational Delineations Monte Carlo simulation transmission risk WUI fire defensible space prescribed fire community vulnerability fire suppression costs Zillow wildfire predictive modeling fire spread model Monte Carlo spatial modeling area difference index statistics precision recall principal components analysis risk assessment structure loss wildland–urban interface mitigation mapping land use disaster fire spread models surrogate modeling sensitivity analysis global sensitivity analysis colour coding communication forest fire ordinal categorization palette risk firefighter safety safe separation distance safety zones LCES Google Earth Engine lidar LANDFIRE Landsat GEDI parcel-level risk post-fire analysis risk mitigation rapid assessment natural hazards fuels fire hazard remote sensing LiDAR Sentinel modeling simulation |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566472703321 |
Meldrum James R
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Wildland Fire |
Autore | John Gollner Michael |
Pubbl/distr/stampa | Frontiers Media SA, 2020 |
Descrizione fisica | 1 electronic resource (208 p.) |
Soggetto topico |
Civil engineering, surveying & building
Mechanical engineering |
Soggetto non controllato |
Wildland fire
wildfire forest fire emissions fire spread |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557248403321 |
John Gollner Michael
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Frontiers Media SA, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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