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