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ALOS-2/PALSAR-2 Calibration, Validation, Science and Applications
ALOS-2/PALSAR-2 Calibration, Validation, Science and Applications
Autore Tadono Takeo
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (240 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Environmental science, engineering & technology
Soggetto non controllato Sentinel-1
ALOS/PALSAR-2
land subsidence
accuracy assessment
Alexandria City
Egypt
local climate zone
random forest
feature importance
land surface temperature
grid cells
Sentinel-2
PALSAR-2
ASTER
soil moisture
ALOS-2
GA-BP
water cloud model
L-band
SAR
backscattering
soil moisture content
LAI
HH and HV polarization
flood
NoBADI
Florida
Hurricane Irma
synthetic aperture radar
polarimetric radar
co-polarized phase difference
radar scattering
vegetation
radar applications
agriculture
leaf area index
leave-one-out cross-validation
oil palm
radar vegetation index
vegetation descriptors
ecosystem carbon cycle
L-band SAR
vegetation index
random forest regression
plantation
permafrost
InSAR
Qinghai-Tibet Plateau
ALOS
thermal melting collapse
Sentinel-1A
SBAS-InSAR
heavy forest area
potential landslide identification
SAR-based landslide detection
Growing Split-Based Approach (GSBA)
Hokkaido landslide
Putanpunas landslide
SAR polarimetry
model-free 3-component decomposition for full polarimetric data (MF3CF)
radar polarimetry
calibration
Faraday rotation
ISBN 3-0365-6105-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910639994803321
Tadono Takeo  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
Autore Vohland Michael
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (218 p.)
Soggetto topico Research and information: general
Soggetto non controllato antarctica
atmospheric correction
bio-optical algorithm
biomass
chlorophyll a
chlorophyll-a
close-range hyperspectral imaging
colored dissolved organic matter
convolutional neural network
electromagnetic induction
field hyperspectral measurement
fine-scale
georectification
hyperspectral
Hyperspectral image
hyperspectral imager
hyperspectral imaging
ice algae
in situ measurements
instrument development
long-distance
long-range
Maarmorilik
machine learning
mangrove species classification
mineral mapping
minimum wavelength mapping
mosaicking
multiple classifier fusion
n/a
photogrammetry
phycocyanin
push-broom
radiometric correction
random forest
random forest regression
receiver
Riotinto
rotation forest
sea ice
snapshot hyperspectral imaging
soil
soil salinity
spectroradiometry
structure from motion
Structure from Motion (SfM)
telescope
topographic correction
tree species
UAV
under-ice
underwater
unmanned aerial vehicle
vertical distribution
water column
waveband selection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557368003321
Vohland Michael  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Image Simulation in Remote Sensing
Image Simulation in Remote Sensing
Autore Eo Yang Dam
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (128 p.)
Soggetto topico History of engineering and technology
Technology: general issues
Soggetto non controllato 3D point cloud
aerial orthoimage
backpack-based mapping
computational simulation
denoising
detection
discrepancy
fusing region proposals
high-resolution
image fusion
image simulation
in situ self-calibration
interferometry
KOMPSAT-3A
matching
mobile mapping system
mosaic
multi-beam LiDAR
n/a
panchromatic image
random forest regression
remote sensing
residual U-Net
RPCs
SAR image
SAR imagery
sensor modeling
Sentinel-2
strip
super-resolution
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566468703321
Eo Yang Dam  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing / Hyung-Sup Jung, Saro Lee
Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing / Hyung-Sup Jung, Saro Lee
Autore Jung Hyung-Sup
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (438 p.)
Soggetto topico Pharmaceutical chemistry and technology
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 9783039212163
3039212168
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367564103321
Jung Hyung-Sup  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing for Precision Nitrogen Management
Remote Sensing for Precision Nitrogen Management
Autore Miao Yuxin
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (602 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Environmental science, engineering & technology
Soggetto non controllato UAS
multiple sensors
vegetation index
leaf nitrogen accumulation
plant nitrogen accumulation
pasture quality
airborne hyperspectral imaging
random forest regression
sun-induced chlorophyll fluorescence (SIF)
SIF yield indices
upward
downward
leaf nitrogen concentration (LNC)
wheat (Triticum aestivum L.)
laser-induced fluorescence
leaf nitrogen concentration
back-propagation neural network
principal component analysis
fluorescence characteristics
canopy nitrogen density
radiative transfer model
hyperspectral
winter wheat
flooded rice
pig slurry
aerial remote sensing
vegetation indices
N recommendation approach
Mediterranean conditions
nitrogen
vertical distribution
plant geometry
remote sensing
maize
UAV
multispectral imagery
LNC
non-parametric regression
red-edge
NDRE
dynamic change model
sigmoid curve
grain yield prediction
leaf chlorophyll content
red-edge reflectance
spectral index
precision N fertilization
chlorophyll meter
NDVI
NNI
canopy reflectance sensing
N mineralization
farmyard manures
Triticum aestivum
discrete wavelet transform
partial least squares
hyper-spectra
rice
nitrogen management
reflectance index
multiple variable linear regression
Lasso model
Multiplex®3 sensor
nitrogen balance index
nitrogen nutrition index
nitrogen status diagnosis
precision nitrogen management
terrestrial laser scanning
spectrometer
plant height
biomass
nitrogen concentration
precision agriculture
unmanned aerial vehicle (UAV)
digital camera
leaf chlorophyll concentration
portable chlorophyll meter
crop
PROSPECT-D
sensitivity analysis
UAV multispectral imagery
spectral vegetation indices
machine learning
plant nutrition
canopy spectrum
non-destructive nitrogen status diagnosis
drone
multispectral camera
SPAD
smartphone photography
fixed-wing UAV remote sensing
random forest
canopy reflectance
crop N status
Capsicum annuum
proximal optical sensors
Dualex sensor
leaf position
proximal sensing
cross-validation
feature selection
hyperparameter tuning
image processing
image segmentation
nitrogen fertilizer recommendation
supervised regression
RapidSCAN sensor
nitrogen recommendation algorithm
in-season nitrogen management
nitrogen use efficiency
yield potential
yield responsiveness
standard normal variate (SNV)
continuous wavelet transform (CWT)
wavelet features optimization
competitive adaptive reweighted sampling (CARS)
partial least square (PLS)
grapevine
hyperparameter optimization
multispectral imaging
precision viticulture
RGB
multispectral
coverage adjusted spectral index
vegetation coverage
random frog algorithm
active canopy sensing
integrated sensing system
discrete NIR spectral band data
soil total nitrogen concentration
moisture absorption correction index
particle size correction index
coupled elimination
ISBN 3-0365-5710-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910637794503321
Miao Yuxin  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui