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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  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
Frontiers Media SA, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui