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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
Autore Lee Saro
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (438 p.)
Soggetto non controllato artificial neural network
model switching
sensitivity analysis
neural networks
logit boost
Qaidam Basin
land subsidence
land use/land cover (LULC)
naïve Bayes
multilayer perceptron
convolutional neural networks
single-class data descriptors
logistic regression
feature selection
mapping
particulate matter 10 (PM10)
Bayes net
gray-level co-occurrence matrix
multi-scale
Logistic Model Trees
classification
Panax notoginseng
large scene
coarse particle
grayscale aerial image
Gaofen-2
environmental variables
variable selection
spatial predictive models
weights of evidence
landslide prediction
random forest
boosted regression tree
convolutional network
Vietnam
model validation
colorization
data mining techniques
spatial predictions
SCAI
unmanned aerial vehicle
high-resolution
texture
spatial sparse recovery
landslide susceptibility map
machine learning
reproducible research
constrained spatial smoothing
support vector machine
random forest regression
model assessment
information gain
ALS point cloud
bagging ensemble
one-class classifiers
leaf area index (LAI)
landslide susceptibility
landsat image
ionospheric delay constraints
spatial spline regression
remote sensing image segmentation
panchromatic
Sentinel-2
remote sensing
optical remote sensing
materia medica resource
GIS
precise weighting
change detection
TRMM
traffic CO
crop
training sample size
convergence time
object detection
gully erosion
deep learning
classification-based learning
transfer learning
landslide
traffic CO prediction
hybrid model
winter wheat spatial distribution
logistic
alternating direction method of multipliers
hybrid structure convolutional neural networks
geoherb
predictive accuracy
real-time precise point positioning
spectral bands
ISBN 3-03921-216-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367564103321
Lee Saro  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing of Biophysical Parameters
Remote Sensing of Biophysical Parameters
Autore García-Haro Francisco Javier
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (274 p.)
Soggetto topico Research & information: general
Soggetto non controllato hyperspectral
spectroscopy
equivalent water thickness
canopy water content
agriculture
EnMAP
LAI
LCC
FAPAR
FVC
CCC
PROSAIL
GPR
machine learning
active learning
Landsat 8
surface reflectance
LEDAPS
LaSRC
6SV
SREM
NDVI
artificial neural networks
canopy chlorophyll content
INFORM
leaf area index
SAIL
fluorescence
in vivo
spectrometry
ASD Field Spec
lead ions
remote sensing indices
meteosat second generation (MSG)
biophysical parameters (LAI
FAPAR)
SEVIRI
climate data records (CDR)
stochastic spectral mixture model (SSMM)
Satellite Application Facility for Land Surface Analysis (LSA SAF)
the fraction of radiation absorbed by photosynthetic components (FAPARgreen)
triple-source
leaf area index (LAI)
woody area index (WAI)
clumping index (CI)
Moderate Resolution Imaging Spectroradiometer (MODIS)
soil albedo
unmanned aircraft vehicle
multispectral sensor
vegetation indices
rapeseed crop
site-specific farming
Sentinel-2
forest
vegetation radiative transfer model
Discrete Anisotropic Radiative Transfer (DART) model
MODIS
fraction of photosynthetically active radiation absorbed by vegetation (FPAR)
three-dimensional radiative transfer model (3D RTM)
uncertainty assessment
vertical foliage profile (VFP)
terrestrial laser scanning (TLS)
airborne laser scanning (ALS)
spaceborne laser scanning (SLS)
riparian
invasive vegetation
burn severity
canopy loss
wildfire
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595067603321
García-Haro Francisco Javier  
Basel, : MDPI Books, 2022
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
Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters
Autore Sanchez Juanma Lopez
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 3-03921-240-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Remote Sensing of Leaf Area Index
Record Nr. UNINA-9910367563203321
Sanchez Juanma Lopez  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Toward a Sustainable Agriculture Through Plant Biostimulants : From Experimental Data to Practical Applications
Toward a Sustainable Agriculture Through Plant Biostimulants : From Experimental Data to Practical Applications
Autore Rouphael Youssef
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (708 p.)
Soggetto topico Research & information: general
Biology, life sciences
Technology, engineering, agriculture
Soggetto non controllato Crocus sativus L.
biofertilization
arbuscular mycorrhizal fungi
antioxidant activity
crocin
picrocrocin
polyphenols
safranal
Maize
biostimulant
root
stress
growth
gene expression
stem cuttings
propagation
root morphology traits
indole-3-acetic acid (IAA)
indole-3-butyric acid (IBA)
gibberellins
phenolic compounds
nutrients
nutraceutical potential
soybean
yield
N organic fertilizer
seaweed extract
mycorrhizal inoculants
phosphate-solubilizing microorganisms
biofertilizers
microorganism consortium
biostimulants
Crocus sativus
Funneliformis mosseae
glasshouse
protected cultivation
Rhizophagus intraradices
substrate
L-methionine
L-tryptophan
L-glycine
lettuce
nitrogen
plant biostimulant
environmental stress
vegetables
fruit quality
plants biostimulants
yielding
Biostimulants
Euglena gracilis
algal polysaccharide
β-glucan
water stress
tomato
aeroponics
Zea mays L
lignohumate
lignosulfonate
biological activity
nitrogen metabolism
carbon metabolism
proteins
phenolics
sugars
Ascophyllum nodosum
Solanum melongena
heterostyly
pollination efficiency
soilless conditions
abiotic stress
alfalfa hydrolysate
chitosan
zinc
ascorbic acid
Fragaria x ananassa
functional quality
lycopene
organic farming
protein hydrolysate
Solanum lycopersicum L.
tropical plant extract
fertilizer
melatonin
phytomelatonin
plant protector
plant stress
Lactuca sativa L.
legume-derived protein hydrolysate
nitrate
Septoria
wheat
Paraburkholderia phytofirmans
thyme essential oil
isotope
phytoparasitic nematodes
suppressiveness
sustainable management
anti-nutritional substances
fat
fibre
morphotype
protein
corn
imaging
industrial crops
maize
next generation sequencing
phenomics
plant phenotyping
row crops
Bacillus subtilis
carotenoids
probiotics
PGPR
Mentha longifolia
humic acid
antioxidants
arbuscular mycorrhizal symbiosis
mycorrhizosphere
AMF associated bacteria
plant growth-promoting bacteria
phosphate-solubilizing bacteria
siderophore production
soil enzymatic activity
biological index fertility
nitrogenase activity
microelements fertilization (Ti, Si, B, Mo, Zn)
seed coating
cover crop
vermicompost
growth enhancement
AM fungi
PGPB
water deficit
common bean
Glomus spp
organic acids
pod quality
seaweed extracts
seed quality
tocopherols
total sugars
bean
amino acids
phenols
flavonoids
microbial biostimulant
non-microbial biostimulant
Lactuca sativa L. var. longifolia
mineral profile
physiological mechanism
photosynthesis
biocontrol
plant growth promotion
soil inoculant
Trichoderma
Azotobacter
Streptomyces
deproteinized leaf juice
fermentation
lactic acid bacteria
plant nutrition
antioxidant capacity
ornamental plants
N fertilization
nitrogen use efficiency
leaf quality
Spinacia oleracea L.
sustainable agriculture
Valerianella locusta L.
isotopic labeling
turfgrass
humic acids
leaf area index (LAI)
specific leaf area (SLA)
Soil Plant Analysis Development (SPAD) index
tuber yield
ultrasound-assisted water
foliar spray
Pterocladia capillacea
bio-fertilizer
growth parameters
Jew’s Mallow
CROPWAT model
eco-friendly practices
total ascorbic acid
Mater-Bi®
mineral composition
SPAD index
Bacillus thuringiensis
Capsicum annuum
microbiome
strain-specific primer
tracking
sweet basil
alfalfa brown juice
biostimulation
chlorophyll pigments
histological changes
humic substances
protein hydrolysates
silicon
arbuscular mycorrhiza
plant growth promoting rhizobacteria
macroalgae
microalgae
abiotic stresses
nutrient use efficiency
physiological mechanisms
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Toward a Sustainable Agriculture Through Plant Biostimulants
Record Nr. UNINA-9910557546703321
Rouphael Youssef  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui