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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 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
Mapping and Monitoring Forest Cover
Mapping and Monitoring Forest Cover
Autore Congalton Russell G
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (144 p.)
Soggetto topico Research and information: general
Soggetto non controllato above-ground biomass
aerial images
allometric equation
canopy height model
degradation
forest change
forest cover map
Forest Inventory and Analysis
forest monitoring
forest sampling
geospatial-temporal analysis
individual tree crown
inventory efficiency
Juniperus
land cover classification
land-use
multisensory approach
n/a
national forest inventory
NDVI
regeneration
remote sensing
Ruoergai area
satellite remote sensing
Savitzky-Golay filtering
segmentation
Sentinel-2
spatial and temporal analysis
trend
unmanned aerial systems
vegetation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557717903321
Congalton Russell G  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing in Mangroves
Remote Sensing in Mangroves
Autore Giri Chandra
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (292 p.)
Soggetto topico Technology: general issues
Soggetto non controllato above-ground biomass
aboveground biomass
aboveground biomass estimation
accuracy assessment
ALOS PALSAR-2
ALOS-2 PALSAR-2
Can Gio biosphere reserve
cellular automata
change detection
classification
cloud computing
color
data fusion
digital earth
DSM
ecosystem
estuary
EVI
extreme gradient boosting
forest monitoring
fragmentation
GAMs
GEEMMM
Generalized Additive Models
GLAS
GLCM
google earth engine
Google Earth Engine
Great Barrier Reef
intensity analysis
JERS-1
land cover
land cover dynamics
land degradation
land use
Landsat
LiDAR
machine learning
mangrove
mangrove condition
mangrove development
mangrove forests
mangrove plantation
mangroves
Markov chain
multi-temporal analysis
Myanmar
n/a
Niger Delta Region
optical images
phenology
protected area
random forest
remote sensing
RGB
SAR
satellite earth observation
Sentinel-2
spectral-temporal metrics
time series
time series analysis
transgression
upscaling
vegetation index
Vietnam
Worldview-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557495403321
Giri Chandra  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing of Above Ground Biomass / Lalit Kumar, Onisimo Mutanga
Remote Sensing of Above Ground Biomass / Lalit Kumar, Onisimo Mutanga
Autore Kumar Lalit
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (264 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato NDLMA
multi-angle remote sensing
TerraSAR-X
above ground biomass
stem volume
regression analysis
ground-based remote sensing
sensor fusion
pasture biomass
grazing management
livestock
mixed forest
SPLSR
estimation accuracy
Bidirectional Reflectance Distribution Factor
forage crops
Land Surface Phenology
climate change
vegetation index
dry biomass
mapping
rangeland productivity
vegetation indices
error analysis
broadleaves
remote sensing
applicability evaluation
ultrasonic sensor
chlorophyll index
alpine meadow grassland
forest biomass
anthropogenic disturbance
fractional vegetation cover
alpine grassland conservation
carbon mitigation
conifer
short grass
grazing exclusion
MODIS time series
random forest
aboveground biomass
NDVI
AquaCrop model
inversion model
wetlands
field spectrometry
spectral index
yield
foliage projective cover
lidar
correlation coefficient
Sahel
biomass
dry matter index
Niger
Landsat
grass biomass
particle swarm optimization
winter wheat
carbon inventory
rice
forest structure information
MODIS
light detection and ranging (LiDAR)
ALOS2
ecological policies
above-ground biomass
Wambiana grazing trial
food security
forest above ground biomass (AGB)
Atriplex nummularia
regional sustainability
CIRed-edge
ISBN 9783039212101
3039212109
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367567003321
Kumar Lalit  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui