Google Earth Engine and Artificial Intelligence for Earth Observation

Google Earth Engine and Artificial Intelligence for Earth Observation by Vishakha Sood, Dileep Kumar Gupta, Sartajvir Singh, and Biswajeet Pradhan delivers a timely, practical roadmap for turning satellite data into actionable insights. Whether you’re a remote-sensing researcher, GIS professional, or environmental manager, this book opens the door to powerful workflows that combine Google Earth Engine with cutting‑edge artificial intelligence for scalable Earth observation and geospatial analysis.

Start exploring how to process large volumes of satellite imagery and apply machine learning models for tasks like land‑cover mapping, crop monitoring, urban change detection, disaster response, and climate‑impact assessment. The authors guide you step-by-step through real-world examples, highlighting best practices for preprocessing, feature extraction, model training, and validation at local, regional, and global scales.

Clear, practical chapters bridge theory and application—illustrating workflows, optimization strategies, and reproducible code snippets suited to researchers, graduate students, and practitioners in environmental science, agriculture, urban planning, and emergency management. Emphasis on scalability, accuracy, and interpretability ensures the methods work across latitudes and landscapes, from precision agriculture to coastal monitoring.

If you need a comprehensive reference that demystifies cloud-based geospatial processing and AI-driven Earth observation, this book is an essential addition to your library. Gain the skills to convert remote-sensing data into reliable, policy-relevant insights.

Order your copy today and transform how you analyze our planet with Google Earth Engine and artificial intelligence.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.