Reprint
Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS
Edited by
July 2021
166 pages
- ISBN978-3-0365-1604-2 (Hardback)
- ISBN978-3-0365-1603-5 (PDF)
This book is a reprint of the Special Issue Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS that was published in
Engineering
Environmental & Earth Sciences
Summary
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.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
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; machine learning; time-series; Jakarta; land subsidence susceptibility mapping; time-series InSAR; StaMPS processing; machine learning; seismic vulnerability map; DPM method; Sentinel-1; machine learning; seismic literacy; neural networks; urban vegetation; urban open spaces; Monterrey Metropolitan Area; sustainable development; machine learning; deep learning; transfer learning; artificial intelligence; remote sensing; earth observation; DInSAR; change detection; space data science