top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
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
Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass
Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass
Autore Aranha José
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (276 p.)
Soggetto topico Geography
Research and information: general
Soggetto non controllato above-ground biomass
aboveground biomass
AGB estimation and mapping
allometric equation
ALOS DSM
ALOS-2 L band SAR
bark roughness
bioenergy
biomass density
biomass estimation
DBH
diameter at breast height
ecosystem services
forest AGC estimation
forest biomass estimation
forest growing stock volume
forest inventory data
forest succession
forest type
GEOMON
GIS
individual tree detection
landsat
Landsat 8 OLI
Landsat dataset
leaf area index
LiDAR
machine learning
machine learning algorithms
mangroves
map quality
multiple ES interactions
multisource remote sensing
nondestructive method
norway spruce
ordinary kriging
Pinus massoniana plantations
plant area index
random forest
remote sensing
seasonal images
sentinel 2
Sentinel-1 C band SAR
Sentinel-2 MSI
Sentinel-2A
shrubs biomass
spatiotemporal evolution
SPOT6 imagery
stand volume
stepwise regression
subtropical forest
subtropical forests
support vector machine for regression
synergy
terrestrial laser scanning
trade-off
tree height
UAV LiDAR
urban vegetation
valley basin
variable selection
vegetation indices
WorldView-2
Xuzhou
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557474803321
Aranha José  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Growth and Development of Short Rotation Woody Crops for Rural and Urban Applications
Growth and Development of Short Rotation Woody Crops for Rural and Urban Applications
Autore Zalesny Jr
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (390 p.)
Soggetto topico Biology, life sciences
Forestry & related industries
Research & information: general
Soggetto non controllato agroforestry
bacterial canker of poplars
balsam poplar
bioenergy
bioenergy plantation
biomass
biomass crops
black locust
break-even-point
canker diseases
clonal selection
cottonwood leaf beetle (Chrysomela scripta)
CSV file
cutback
data integrity
database
DBH
deer browsing
die-back of poplars
ecosystem services
effluent water treatment
end-pit lake
energy crops
evapotranspirative willow system
fast growing trees
fast-growing tree species
fertilizer application
financial analysis
foliar nutrition
fuelwood
gene expression analyses
genotype × environment (G × E) interactions
GitHub
growth response
heating value
intensive silviculture
irrigation
Kazakhstan
Kyrgyzstan
land use
leaf litter
Linux
log diameter
Lonsdalea populi
management
Mediterranean conditions
Melampsora rust
mineral content
mixture
MLSA
moisture content
monocultures
mulch
multi-environmental trials (MET)
n/a
net present value
oil sands reclamation
osmolytes
Phalaris arundinacea L.
phenotypic plasticity
phyto buffers
phyto-recurrent selection
phytotechnologies
poplar
poplar clones
poplar diseases
poplar hybrids
poplars
Populus
Populus × euramericana
Populus maximowiczii × P. deltoides × P. trichocarpa
Populus sp
proof-of-concept: use case
radical scavenger capacity
red maple
reed canary grass (RCG)
renewable energy
resource recovery
review
Salix
salt stress
salt tolerance
seasoning
severe soil disturbance
short rotation coppice
short rotation coppice (SRC)
short rotation coppice willow
short rotation woody crops
short-rotation coppice
soil inorganic N
soil quality
splitting
spreadsheet
SQL
SRC
SRC (Short Rotation Coppice)
stand density
stem volume
sustainability
sustainable wastewater treatment
Tajikistan
thickness classes
tree biomass
tree growth
tree height
trembling aspen
volume forest stand
weed control
white ash
white poplar
woody biomass
yield
yield loss
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580204503321
Zalesny Jr  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui