Description: GeoAI-Driven Earth Observation for Sustainable Development: Contemporary Advances and Emerging Opportunities Across Scales presents a comprehensive overview of how Geographic Artificial Intelligence (GeoAI) is transforming Earth observation technologies to support the achievement of the United Nations Sustainable Development Goals (SDGs).
The book begins by outlining the evolution of Earth observation and the integration of machine learning and deep learning techniques that enhance data analysis capabilities. It addresses the challenges and ethical considerations involved in deploying GeoAI, emphasizing the importance of open-source tools, cloud-edge intelligence, and reproducibility in advancing the field. The text explores a wide range of GeoAI applications tailored to specific SDGs, including precision agriculture for food security, urban resilience, disaster risk reduction, forest and biodiversity conservation, and water resource management. It also highlights innovations in air quality mapping, clean energy monitoring, health and well-being, inclusive education, gender equality, sustainable economic growth, and infrastructure development. Additionally, the book discusses policy and governance frameworks that enable the effective use of GeoAI for sustainable development, alongside integrated scenario modeling to bridge science and technology in land-use and cover change. Further, it examines emerging GeoAI applications in groundwater quality, marine and coastal ecosystems, and regional security in the context of climate change. This multidisciplinary volume equips researchers and practitioners with the knowledge and tools to harness GeoAI for addressing complex environmental and societal challenges.Brief description:
Dr. Achala Shakya is an Assistant Professor at the Department of Computer Science and Engineering, School of Engineering and Applied Sciences, SRM University, Amaravati, Andhra Pradesh. Before that, she was associated with the School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India, and the Computer Science and Engineering department at Sharda University, Greater Noida (U.P.), India. She was awarded a PhD from the Computer Engineering Department at the National Institute of Technology, Kurukshetra. She was also associated with the NASA-ISRO Synthetic Aperture Radar Mission (NISAR) project under the project entitled "Fusion of SAR and optical data for advanced LULC classification". She works in Image Fusion and Segmentation, Optical, Radar, and Hyperspectral Remote Sensing, Deep Learning, Machine Learning, Natural Language Processing, Information Retrieval, and Web Development.