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Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS
Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS
Autore Lee Chang-Wook
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (165 p.)
Soggetto topico Environmental science, engineering & technology
Soggetto non controllato artificial intelligence
boosted tree
change detection
deep learning
DInSAR
DPM method
earth observation
ensemble models
GIS
groundwater potential
Jakarta
land subsidence
land subsidence susceptibility mapping
machine learning
Monte Carlo simulation
Monterrey Metropolitan Area
Mt. Umyeon landslides
neural networks
physical slope model
probabilistic method
prototype selection
remote sensing
river pollution
seismic literacy
seismic vulnerability map
Sentinel-1
Seoul
space data science
specific capacity
StaMPS processing
supervised classification
sustainable development
synthetic aperture radar
time-series
time-series InSAR
transfer learning
urban open spaces
urban vegetation
WSN
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557605403321
Lee Chang-Wook  
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 Natural Hazards
Remote Sensing of Natural Hazards
Autore Ahmed Bayes
Descrizione fisica 1 online resource (314 p.)
Soggetto topico Geography
Research and information: general
Soggetto non controllato ABI
aerial image
agriculture
automatic landslide detection
Bangladesh
BRT
CART
climate change
climate migrants
convolutional neural networks
damage assessment
deep learning
Dhaka
digital elevation model
disaster impact
drought
earthquake
ensemble models
flash flood
flood mapping
flooding
forest ecosystems
geohydrological model
groundwater
ice jam
ice storm
InSAR
InSAR time series
K-Nearest Neighbor
land subsidence and rebound
land use and land cover
landslide
landslide deformation
landslide susceptibility
landslides
logistic regression
machine learning models
modified frequency ratio
MODIS
monitoring and prediction
Multi-Layer Perceptron
naive Bayes tree
natural hazards
NDVI
night-time light data
NUAE
OBIA
ordinal regression
PBA
peri-urbanization
post-disaster recovery
random forest
Random Forest
random forests
rapid mapping
remote sensing
reservoir water level
Sentinel-1
sequential estimation
snowmelt
supervised classification
Support Vector Machine
Three Gorges Reservoir area (China)
uncertainty
urban growth boundary demarcation
validation
VIIRS
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595070103321
Ahmed Bayes  
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui