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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 electronic resource (276 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato AGB estimation and mapping
mangroves
UAV LiDAR
WorldView-2
terrestrial laser scanning
above-ground biomass
nondestructive method
DBH
bark roughness
Landsat dataset
forest AGC estimation
random forest
spatiotemporal evolution
aboveground biomass
variable selection
forest type
machine learning
subtropical forests
Landsat 8 OLI
seasonal images
stepwise regression
map quality
subtropical forest
urban vegetation
biomass estimation
Sentinel-2A
Xuzhou
forest biomass estimation
forest inventory data
multisource remote sensing
biomass density
ecosystem services
trade-off
synergy
multiple ES interactions
valley basin
norway spruce
LiDAR
allometric equation
individual tree detection
tree height
diameter at breast height
GEOMON
ALOS-2 L band SAR
Sentinel-1 C band SAR
Sentinel-2 MSI
ALOS DSM
stand volume
support vector machine for regression
ordinary kriging
forest succession
leaf area index
plant area index
machine learning algorithms
forest growing stock volume
SPOT6 imagery
Pinus massoniana plantations
sentinel 2
landsat
remote sensing
GIS
shrubs biomass
bioenergy
vegetation indices
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
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 electronic resource (124 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato Canadian Hydrographic Service
Satellite-Derived Bathymetry
empirical
classification
photogrammetry
level of confidence
spatio-temporal GIS
hydrodynamic model
spatio-temporal computation framework
flood risk
3D simulation
watershed division
Sentinel-2A
Google Earth Engine (GEE)
Taihu Basin
hydrology
plains area
RapidEye
water quality
red edge
remote sensing
flash flood
PCSWMM
curve number
rainfall-runoff model
HEC-RAS
Pakistan
crop water requirement
reflectance-based crop coefficients
normalized difference vegetation index
evapotranspiration
geo-spatial analysis
scaling issue
basin characteristic extraction
hydrological modelling
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
GI for Disaster Management
GI for Disaster Management
Autore Altan Orhan
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (160 p.)
Soggetto topico Research & information: general
Environmental economics
Soggetto non controllato mapping impact
tidal flood
hydrodynamic model
solar salt farming
drone
computer vision
point clouds
machine learning
CNN
GAN
first responder
RECONASS
INACHUS
multi-hazard
susceptibility mapping
developing urban settlements
landslide
flood
logistic regression
Mamdani fuzzy algorithm
M-AHP
cartographic symbols
map symbology
crisis map
comparative analysis
taxonomy
graphic design
availability
promulgation
sharing
standardisation
Black sea
sea level change
tide gauge
satellite altimetry
GNSS
post-fire management
forest regeneration
fire severity mapping
multispectral imagery
Sentinel-2A
unmanned aerial vehicles
Parrot SEQUOIA
climate change
fuzzy logic
GIS, household
Index method
sea level rise
vulnerability
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557426203321
Altan Orhan  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Spatial Heterogeneity of Forest-Steppes
Spatial Heterogeneity of Forest-Steppes
Autore Erdos Laszlo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (170 p.)
Soggetto topico Research & information: general
Soggetto non controllato carbon cycling
natural stable isotope abundance
nitrogen cycling
soil organic matter
temperate grassland
drought tolerance
forest–steppe ecotone
hydraulic strategy
hydraulic trait
interspecific association
interspecific relationships
species co-occurrence
semiarid forests
duration curve
forest steppe
sensor network
spatio-temporal microclimate pattern
temperature–humidity data logger
vapour pressure deficit
pollen analysis
forest belt
forest-steppe ecotone
position migration
moisture change
shrub encroachment
spatial pattern
temperate savanna
ecosystem degradation
sandy grasslands
Danube-Tisza Interfluve
morphotaxonomy
abundance
community composition
decomposition
Shannon diversity
ecosystem service
Geotrupidae
grassland
indicator species
land use
Scarabaeidae
species richness
arthropod predation
connectivity
dummy caterpillar
ecosystem function
edge effect
forest-steppe
fragment size
kurgan
landscape-scale
seed predation
Festuca vaginata
Festuca pseudovaginata
Festuca wagneri
ecological values
pedological analysis
diversity
forest-steppes
sandy grassland
grazing-mowing
NDVI
Sentinel-2A
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557395003321
Erdos Laszlo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui