Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS

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 a...

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Format:	Buch
Sprache:	eng
Schlagworte:	artificial intelligence boosted tree change detection deep learning DInSAR DPM method earth observation ensemble models Environmental science, engineering and technology 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 Technology, Engineering, Agriculture, Industrial processes thema EDItEUR time-series time-series InSAR transfer learning urban open spaces urban vegetation WSN
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Beschreibung
Zusammenfassung:	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.
DOI:	10.3390/books978-3-0365-1603-5