Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications explores a wide range of transformative data fusion techniques of Artificial Intelligence (AI) technologies applied to Google Earth Engine (GEE) techniques. The book includes a wide range of scientific domains that can utilize remote sensing and geographic information systems (GIS) through detailed case studies. It delves into the challenges of AI-driven tools and technologies for Earth observation data analysis, offering possible solutions and directly addressing current and upcoming needs within Earth Observation.This is a useful reference for geospatial scientists, remote sensing experts, and environmental scientists utilizing remote sensing to apply the latest AI techniques to data obtained from GEE for their research and teaching.
- Includes utilization of AI with GEE tools for a spectrum od scientific domains in remote sensing and geographic information systems (GIS), such as natural hazard assessment, aquatic and hydrological applications, and forest cover
- Highlights the challenges and possible solutions for AI-driven tools and technologies for Earth observation data analysis
- Provides detailed case studies that show specific considerations and exceptions for applications of AI in GEE for Earth observation
