TY - BOOK ID - 135851207 TI - Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS AU - Lee, Chang-Wook AU - Han, Hyangsun AU - Lee, Hoonyol AU - Park, Yu-Chul PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat 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 UR - https://www.unicat.be/uniCat?func=search&query=sysid:135851207 AB - 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. ER -