This book focuses on geospatial techniques, climate science, and predicting risk applications and challenges. It bridges the gap between the principles of geographic information science (GIS), remote sensing technology, global positioning system (GPS), and machine learning. It emphasizes the application and significance of remotely sensed data and GIS technologies in different aspects of climate science data. It considers the use of geospatial and AI in resource studies, primarily focusing on water, air, soil, urban, climate, and environmental aspects supported by case studies.

Features:
• Includes geographic technologies application with an emphasis on its modelling of climate change and meteorological elements.
• Merges geospatial technologies and AI methodologies.
• Provides canvas for social impact and community involvement in the application of geospatial technology across several industries.
• Examines heatwaves, cold waves, and dust storm models using satellite data and GIS.
• Deals with the case studies through highlighting the use and applicability of drones with geospatial technology.

This book is aimed at researchers and graduate students in geospatial sciences and environmental engineering.