TY  - GEN
AU  - Lee,Chang-Wook
AU  - Han,Hyangsun
AU  - Lee,Hoonyol
AU  - Park,Yu-Chul
AU  - Lee,Chang-Wook
AU  - Han,Hyangsun
AU  - Lee,Hoonyol
AU  - Park,Yu-Chul
TI  - Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS
SN  - books978-3-0365-1603-5
PY  - 2021///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Environmental science, engineering & technology
KW  - bicssc
KW  - groundwater potential
KW  - specific capacity
KW  - machine learning
KW  - boosted tree
KW  - ensemble models
KW  - prototype selection
KW  - river pollution
KW  - supervised classification
KW  - WSN
KW  - probabilistic method
KW  - Monte Carlo simulation
KW  - physical slope model
KW  - Mt. Umyeon landslides
KW  - Seoul
KW  - synthetic aperture radar
KW  - land subsidence
KW  - GIS
KW  - time-series
KW  - Jakarta
KW  - land subsidence susceptibility mapping
KW  - time-series InSAR
KW  - StaMPS processing
KW  - seismic vulnerability map
KW  - DPM method
KW  - Sentinel-1
KW  - seismic literacy
KW  - neural networks
KW  - urban vegetation
KW  - urban open spaces
KW  - Monterrey Metropolitan Area
KW  - sustainable development
KW  - deep learning
KW  - transfer learning
KW  - artificial intelligence
KW  - remote sensing
KW  - earth observation
KW  - DInSAR
KW  - change detection
KW  - space data science
N1  - Open Access
N2  - This book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas
UR  - https://mdpi.com/books/pdfview/book/4081
UR  - https://directory.doabooks.org/handle/20.500.12854/76634
ER  -