Data Analytics and Artificial Intelligence for Earth Resource Management

Data Analytics and Artificial Intelligence for Earth Resource Management by Deepak Kumar is a timely, expertly written guide that equips professionals and students with the analytical tools needed to steward the planet’s resources. Combining proven data-science techniques with real-world environmental applications, this book translates complex machine learning, remote sensing, and GIS concepts into practical strategies for sustainable land, water, and forest management.

Start with a clear overview of modern data pipelines, satellite imagery processing, and predictive modeling, then move into actionable case studies that span regional and global contexts—from rapid land-use change in South Asia to water-stress forecasting in Africa and carbon-stock assessments across Europe and North America. Readers gain step-by-step frameworks for cleaning and fusing heterogeneous datasets, building interpretable AI models, and validating outcomes for policy-relevant decisions.

Ideal for environmental scientists, resource managers, urban planners, and graduate students, this volume emphasizes reproducible methods, ethical AI use, and scalable solutions that support conservation and development goals. The prose is technical yet accessible, making advanced analytics approachable for practitioners working on regional planning, disaster resilience, or natural-resource governance.

Whether you operate in government, academia, or the private sector, Deepak Kumar’s practical insights help you harness data analytics and artificial intelligence to make better, faster decisions about Earth’s resources. Enhance your toolkit and lead data-driven sustainability initiatives—order your copy today and start applying intelligent, geographic-aware solutions to real-world environmental challenges.

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