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.
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
Sustainable Agriculture and Advances of Remote Sensing (Volume 1)
Sustainable Agriculture and Advances of Remote Sensing (Volume 1)
Autore Paraforos Dimitrios
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (324 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato geographic information system (GIS)
pocket beaches
coastal management
Interreg
climate change
remote sensing
drone
Sicily
Malta
Gozo
Comino
systematic literature review
anomaly intrusion detection
deep learning
IoT
resource constraint
IDS
evapotranspiration
penman-monteith equation
artificial neural network
canopy conductance
Ziz basin
water quality
satellite image analysis
modeling approach
nitrate
dissolved oxygen
chlorophyll a
time series analysis
environmental monitoring
water extraction
modified normalized difference water index (MNDWI)
machine learning algorithm
hyperspectral
proximal sensing
panicle initiation
normalized difference vegetation index (NDVI)
green ring
internode-elongation
Sentinel 1 and 2
Copernicus Sentinels
crop classification
food security
agricultural monitoring
data analysis
SAR
random forest
3D bale wrapping method
equal bale dimensions
mathematical model
minimal film consumption
optimal bale dimensions
round bales
Sentinel-2
SVM
RF
Boufakrane River watershed
irrigation requirements
water resources
sustainable land use
agriculture
invasive plants
precision agriculture
rice farming
site-specific weed management
nitrogen prediction
1D convolution neural networks
cucumber
crop yield improvement
mango leaf
CCA
vein pattern
leaf disease
cubic SVM
chlorophyll-a concentration
transfer learning
overfitting
data augmentation
guava disease
plant disease detection
crops diseases
entropy
features fusion
machine learning
object-based classification
density estimation
histogram
land use
crop fields
soil tillage
data fusion
multispectral
sensor
probe
temperature profile
forest roads
simulation
autonomous robots
smart agriculture
environmental protection
photogrammetry
path planning
internet of things
modeling
convolutional neural networks
machine vision
computer vision
modular robot
selective spraying
vision-based crop and weed detection
Faster R-CNN
YOLOv5
band selection
CNN
NDVI
hyperspectral imaging
crops
urban flood
Sentinel-1a
Synthetic Aperture Radar (SAR)
3D Convolutional Neural Network
multi-temporal data
land use classification
GIS
Coatzacoalcos
algorithms
clustering
pest control
site-specific
virtual pests
rice plant
weed
hyperspectral imagery
sustainable agriculture
green technologies
Internet of Things
natural resources
sustainable environment
IoT ecosystem
hyperspectral remoting sensing
crop mapping
image classification
deep transfer learning
hyperparameter optimization
metaheuristic
soil attribute
ordinary Kriging
rational sampling numbers
spatial heterogeneity
sampling
soil pH
spatial variation
ordinary kriging
Land Use/Land Cover
LISS-III
Landsat
Vision Transformer
Bidirectional long-short term memory
Google Earth Engine
Explainable Artificial Intelligence
ISBN 3-0365-5338-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Sustainable Agriculture and Advances of Remote Sensing
Record Nr. UNINA-9910619464703321
Paraforos Dimitrios  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
Autore Paraforos Dimitrios
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (322 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato geographic information system (GIS)
pocket beaches
coastal management
Interreg
climate change
remote sensing
drone
Sicily
Malta
Gozo
Comino
systematic literature review
anomaly intrusion detection
deep learning
IoT
resource constraint
IDS
evapotranspiration
penman-monteith equation
artificial neural network
canopy conductance
Ziz basin
water quality
satellite image analysis
modeling approach
nitrate
dissolved oxygen
chlorophyll a
time series analysis
environmental monitoring
water extraction
modified normalized difference water index (MNDWI)
machine learning algorithm
hyperspectral
proximal sensing
panicle initiation
normalized difference vegetation index (NDVI)
green ring
internode-elongation
Sentinel 1 and 2
Copernicus Sentinels
crop classification
food security
agricultural monitoring
data analysis
SAR
random forest
3D bale wrapping method
equal bale dimensions
mathematical model
minimal film consumption
optimal bale dimensions
round bales
Sentinel-2
SVM
RF
Boufakrane River watershed
irrigation requirements
water resources
sustainable land use
agriculture
invasive plants
precision agriculture
rice farming
site-specific weed management
nitrogen prediction
1D convolution neural networks
cucumber
crop yield improvement
mango leaf
CCA
vein pattern
leaf disease
cubic SVM
chlorophyll-a concentration
transfer learning
overfitting
data augmentation
guava disease
plant disease detection
crops diseases
entropy
features fusion
machine learning
object-based classification
density estimation
histogram
land use
crop fields
soil tillage
data fusion
multispectral
sensor
probe
temperature profile
forest roads
simulation
autonomous robots
smart agriculture
environmental protection
photogrammetry
path planning
internet of things
modeling
convolutional neural networks
machine vision
computer vision
modular robot
selective spraying
vision-based crop and weed detection
Faster R-CNN
YOLOv5
band selection
CNN
NDVI
hyperspectral imaging
crops
urban flood
Sentinel-1a
Synthetic Aperture Radar (SAR)
3D Convolutional Neural Network
multi-temporal data
land use classification
GIS
Coatzacoalcos
algorithms
clustering
pest control
site-specific
virtual pests
rice plant
weed
hyperspectral imagery
sustainable agriculture
green technologies
Internet of Things
natural resources
sustainable environment
IoT ecosystem
hyperspectral remoting sensing
crop mapping
image classification
deep transfer learning
hyperparameter optimization
metaheuristic
soil attribute
ordinary Kriging
rational sampling numbers
spatial heterogeneity
sampling
soil pH
spatial variation
ordinary kriging
Land Use/Land Cover
LISS-III
Landsat
Vision Transformer
Bidirectional long-short term memory
Google Earth Engine
Explainable Artificial Intelligence
ISBN 3-0365-5336-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Sustainable Agriculture and Advances of Remote Sensing
Record Nr. UNINA-9910619464803321
Paraforos Dimitrios  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui