Lee, Chang-Wook <br/><br/>
Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS 

 - Basel, Switzerland  MDPI - Multidisciplinary Digital Publishing Institute  2021 
 - 1 electronic resource (165 p.) 
<br/><br/> Open Access 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>books978-3-0365-1603-5 9783036516042 9783036516035 
<br/><br/><label>Standard No.: </label>10.3390/books978-3-0365-1603-5  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Environmental science, engineering & technology
<br/><br/><label>Subjects--Index Terms: </label>groundwater potential specific capacity machine learning boosted tree ensemble models prototype selection river pollution supervised classification WSN probabilistic method Monte Carlo simulation physical slope model Mt. Umyeon landslides Seoul synthetic aperture radar land subsidence GIS time-series Jakarta land subsidence susceptibility mapping time-series InSAR StaMPS processing seismic vulnerability map DPM method Sentinel-1 seismic literacy neural networks urban vegetation urban open spaces Monterrey Metropolitan Area sustainable development deep learning transfer learning artificial intelligence remote sensing earth observation DInSAR change detection space data science