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Advances in Remote Sensing-based Disaster Monitoring and Assessment
Advances in Remote Sensing-based Disaster Monitoring and Assessment
Autore Im Jungho
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (232 p.)
Soggetto topico Research and information: general
Soggetto non controllato accelerometer sensor
anomaly detection
Beijing urban area
building construction
burn index
chaparral ecosystem
China
compressible sediment layer
debris flow
deep learning
deep neural network
disaster monitoring
dryness monitoring
empirical model function
flash flood
floodplain delineation
forest fire
forest recovery
gross primary production
groundwater level
Himawari-8
Himawari-8 AHI
inaccessible region
land subsidence
Landsat-8
live fuel moisture
LSSVM
machine learning
MODIS
n/a
NIR-Red spectral space
PE
PS-InSAR
random forest
remote sensing
risk
satellite remote sensing
satellite vegetation indices
SDE
soil moisture
South Korea
Southern California
threshold-based algorithm
total precipitable water
tropical cyclone formation
uneven settlement
vegetation index
wildfire
WindSat
wireless sensor network
XGBoost
Xinjiang province of China
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557765003321
Im Jungho  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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
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Land Degradation Assessment with Earth Observation
Land Degradation Assessment with Earth Observation
Autore Symeonakis Elias
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (368 p.)
Soggetto topico Research & information: general
Soggetto non controllato Amu Darya delta (ADD)
archetypes
arid and semi-arid areas
aridity index
AVHRR
bfast
BFAST
Botswana
breakpoint analysis
breakpoints and timeseries analysis
browning
central Asia
developing countries
drivers
drought
drought adaptation
drought impacts
drought index
drought vulnerability
Earth observation
East Africa
ecosystem structural change
Gaofen satellite
GEE
geographically weighted regression (GWR)
Google Earth Engine
greenhouse gas emissions
greening
gully mapping
high temporal resolution
irrigated systems
Kenya
Kobresia pygmaea community
Kyrgyzstan
land cover
land degradation
land degradation neutrality
land productivity
land surface phenology
land use
land use-land cover
Landsat
Landsat time series analysis
machine learning
Mann-Kendall
mining development
MODIS
monitoring and reporting
n/a
NDVI
Niger River basin
Nigeria
Normalised Difference Vegetation Index (NDVI)
pastures
precipitation
random forest
REDD+
reference levels
remote sensing
remote sensing index
RWEQ
salinity index
salinization
salinized land degradation index (SDI)
satellite imagery
satellite-based aridity index
savannah
SDG
self-organizing maps
semi-arid areas
semi-arid environment
Sen's slope
Sentinel-1
Sentinel-2
Sentinel-2 images
shrub encroachment
slangbos
Soil Adjusted Vegetation Index (SAVI)
soil organic carbon
South Africa
spatial distribution
spatial heterogeneity
spatial-temporal variation
standardized precipitation evapotranspiration index
support vector machines
sustainable land management programmes
Synthetic Aperture Radar (SAR)
TI-NDVI
time series
trend analysis
Uganda
unmanned aerial vehicle
Vegetation Condition Index (VCI)
vegetation index
vegetation resilience
vegetation trends
vegetation-precipitation relationship
wind erosion modeling
Xishuangbanna
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576873503321
Symeonakis Elias  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Microwave Indices from Active and Passive Sensors for Remote Sensing Applications / Simonetta Paloscia, Emanuele Santi
Microwave Indices from Active and Passive Sensors for Remote Sensing Applications / Simonetta Paloscia, Emanuele Santi
Autore Paloscia Simonetta
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (224 p.)
Soggetto topico Geography
Soggetto non controllato time series analysis
passive microwave soil moisture
Sentinel-1 and Sentinel-2
Snow Depth and Snow Water Equivalent
snow cover characteristics
vegetation biomass
roughness
sea ice
SMOS
microwave radiometry
soil moisture downscaling
Vegetation Biomass
vegetation index
Terra MODIS
Sentinel-1
Microwave Indices
soil moisture content
dual-frequency ratios
SMAP
passive microwave
water-cloud model
snow
Sentinel-1 backscatter
AMSR2
data fusion
microwaves
mountain region
SAR
start of season
crops
NDVI
scatterometer
Radarsat-2
polarization
vegetation water content
co-pol ratio
active microwaves
microwave indices
harvest
Microwave Radiometry
soil moisture
Soil Moisture Content
snow correlation length
radiometer
radar
soil scattering
vegetation descriptor
scale gap
snow water equivalent
ISBN 9783038978213
3038978213
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367751603321
Paloscia Simonetta  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Operationalization of Remote Sensing Solutions for Sustainable Forest Management
Operationalization of Remote Sensing Solutions for Sustainable Forest Management
Autore Mozgeris Gintautas
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (296 p.)
Soggetto topico Research & information: general
Soggetto non controllato accuracy assessment
airborne laser scanning
analytic hierarchy process
anthropogenic
Artic
bark beetle
bark beetle infestation
beech-fir forests
canopy gaps
canopy openings percentage
change detection
damage mapping
deep learning
deforestation depletion
DEM
DJI drone
earth observations
efficiency
Elastic Net
forest canopy
forest classification
forest damage
forest disturbance
forest inventory
forest management
forest mask
forest monitoring
forest road inventory
forested catchment
forestry
GIS
global navigation satellite system
gray level cooccurrence matrix (GLCM)
growing stock volume
harmonic regression
hydrological modeling
Ips typographus L.
Landsat
landsat time series
Large Scale Mean-Shift Segmentation (LSMS)
machine learning
mangrove
mangrove sustainability
MaxENT
multi-scale analysis
multi-temporal regression
multispectral imagery
n/a
national forest inventory
natural water balance
pest
phenology modelling
Phoracantha spp
pixel-based supervised classification
point cloud
positional accuracy
precision density
principal component analysis (PCA)
probability sampling
random forest
Random Forest (RF)
remote sensing
replanting
restoration
risk modeling
satellite imagery
satellite indices
Sentinel-2
Siberia
Southeast Asia
spruce
stand volume
support vector machine
SWAT model
thresholding analysis
time series analysis
total station
UAV
unmanned aerial vehicle (UAV)
validation
vegetation index
wildfires
WorldView-3
Yakutia
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557584103321
Mozgeris Gintautas  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
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
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
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Remote Sensing of Savannas and Woodlands
Remote Sensing of Savannas and Woodlands
Autore Hill Michael J
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (286 p.)
Soggetto topico Research & information: general
Soggetto non controllato 3D point cloud
Above Ground Biomass (AGB)
aboveground biomass
Africa
albedo
allometry
alternative stable states
Amazon
bare soil
biomass
carbon
Cerrado
Cerrado ecosystem
conservation
cost-effective
deciduous
ecoregion
ecosystem function
encroachment
evergreen
forests
fractional cover
grassland
grasslands
hydrology
land cover
land surface temperature
LiDAR
livestock
mapping
MODIS
MODIS VCF
monitoring
n/a
oak-grass savanna
optical
phenocams
phenology
plant water availability
post oak
production systems
random forest
remote sensing
sar
SAR
savanna
Savanna
savannas
Sentinel-2
spectral indexes
synergism
terrestrial laser scanning (TLS)
TLS
tree phenology
trend
vegetation
vegetation dynamics
vegetation index
vegetation indices
vegetation persistence
vegetation seasonality
vegetation structure
vegetation type
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557426603321
Hill Michael J  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
UAVs for Vegetation Monitoring
UAVs for Vegetation Monitoring
Autore de Castro Megías Ana
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (452 p.)
Soggetto topico Research & information: general
Soggetto non controllato Acacia
agro-environmental measures
artificial intelligence
artificial neural network
banana
broad-sense heritability
canopy cover
canopy height
century-old biochar
chlorophyll content
CIELab
classification
close remote sensing
CNN
container-grown
contextual spatial domain/resolution
convolution neural network
cotton root rot
crop canopy
crop disease
crop mapping
crop monitoring
curve fitting
data aggregation
deep learning
detection performance
disease detection
disease diagnosis
disease monitoring
drone
drought tolerance
eddy covariance (EC)
evapotranspiration (ET)
Faster RCNN
flight altitude
forage grass
forest
Fusarium wilt
Glycine max
GRAPEX
growth model
high throughput field phenotyping
HSV
hyperspectral
image analysis
image segmentation
Inception v2
individual plant segmentation
Indonesia
inference time
land cover
least squares support vector machine
machine learning
maize tassel
method comparison
MobileNet v2
multiple linear regression
multiscale textures
multispectral
multispectral image
multispectral imagery
multispectral remote sensing
NDVI
neural network
nitrogen stress
nutrient deficiency
oil palm
olive groves
operating parameters
ornamental
patch-based CNN
phenotyping gap
plant detection
plant nitrogen estimation
plant segmentation
plant trails
plant-by-plant
plant-level
precision agriculture
purple rapeseed leaves
random forest
red-edge spectra
remote sensing
remote sensing technique
RGB
RGB camera
RGB imagery
semantic segmentation
single-plant
solar zenith angle
southern Spain
spatial resolution
SSD
sUAS
support vector machine
tassel branch number
texture
thermal
thermal camera
time of day
transfer learning
transpiration
tropics
Two Source Energy Balance model (TSEB)
U-Net
UAS
UAV
UAV digital images
UAV hyperspectral
UAV remote sensing
unmanned aerial vehicle
variable importance
vegetation cover
vegetation ground cover
vegetation index
vegetation indices
VGG16
visual recognition
water stress
weed detection
wheat yellow rust
winter wheat biomass
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557661103321
de Castro Megías Ana  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui