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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
Geo-Spatial Analysis in Hydrology
Geo-Spatial Analysis in Hydrology
Autore Zhou Qiming
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (124 p.)
Soggetto topico Geography
Research & information: general
Soggetto non controllato 3D simulation
basin characteristic extraction
Canadian Hydrographic Service
classification
crop water requirement
curve number
empirical
evapotranspiration
flash flood
flood risk
geo-spatial analysis
Google Earth Engine (GEE)
HEC-RAS
hydrodynamic model
hydrological modelling
hydrology
level of confidence
normalized difference vegetation index
Pakistan
PCSWMM
photogrammetry
plains area
rainfall-runoff model
RapidEye
red edge
reflectance-based crop coefficients
remote sensing
Satellite-Derived Bathymetry
scaling issue
Sentinel-2A
spatio-temporal computation framework
spatio-temporal GIS
Taihu Basin
water quality
watershed division
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557291603321
Zhou Qiming  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters / Hongliang Fang, Juanma Lopez Sanchez, Francisco Javier García-Haro
Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters / Hongliang Fang, Juanma Lopez Sanchez, Francisco Javier García-Haro
Autore Fang Hongliang
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (334 p.)
Soggetto non controllato artificial neural network
downscaling
simulation
3D point cloud
European beech
consistency
adaptive threshold
evaluation
photosynthesis
geographic information system
P-band PolInSAR
validation
density-based clustering
structure from motion (SfM)
EPIC
Tanzania
signal attenuation
trunk
canopy closure
REDD+
unmanned aerial vehicle (UAV)
forest
recursive feature elimination
Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR)
aboveground biomass
random forest
uncertainty
household survey
spectral information
forests biomass
root biomass
biomass
unmanned aerial vehicle
Brazilian Amazon
VIIRS
global positioning system
LAI
photochemical reflectance index (PRI)
allometric scaling and resource limitation
R690/R630
modelling aboveground biomass
leaf area index
forest degradation
spectral analyses
terrestrial laser scanning
BAAPA
leaf area index (LAI)
stem volume estimation
tomographic profiles
polarization coherence tomography (PCT)
canopy gap fraction
automated classification
HemiView
remote sensing
multisource remote sensing
Pléiades imagery
photogrammetric point cloud
farm types
terrestrial LiDAR
altitude
RapidEye
forest aboveground biomass
recovery
southern U.S. forests
NDVI
machine-learning
conifer forest
satellite
chlorophyll fluorescence (ChlF)
tree heights
phenology
point cloud
local maxima
clumping index
MODIS
digital aerial photograph
Mediterranean
hemispherical sky-oriented photo
managed temperate coniferous forests
fixed tree window size
drought
GLAS
smartphone-based method
forest above ground biomass (AGB)
forest inventory
over and understory cover
sampling design
ISBN 9783039212408
3039212400
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367563203321
Fang Hongliang  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui