Table of Contents

- Geospatial Machine Learning in Urban Areas: Challenges and Prospects.- Exploratory Analysis and Transformation for Remotely-Sensed Imagery.- Mapping Urban Land Cover using Multi-seasonal Sentinel-2 Imagery, Spectral and Texture Indices.- Mapping Urban Land Cover using Multi-seasonal Sentinel-1 Imagery and Texture Indices.- Improving Urban Land Cover Mapping.- Land Cover Classification Accuracy Assessment.- Appendix.

About the Author

Courage Kamusoko is an independent geospatial consultant based in Japan. His expertise includes land use and cover change modeling, and the design and implementation of geospatial database management systems. His primary research involves analyses of remotely sensed images, land use and cover modeling, and machine learning. In addition to his focus on geospatial research and consultancy, he has dedicated his time to teaching practical machine learning for geospatial analysis and modeling. Recently, he published the book Remote Sensing Image Classification in R (Springer).