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