Mahesh Pal – författare

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.Provides readers an understanding on how GeoAI can drive sustainable developmentHighlights GeoAI-enabled policy and governance frameworks for international cooperation in harnessing GeoAI for sustainable developmentShowcases the future of GeoAI in Earth Observation from local to global perspectives, offering feasible solutions to critical environmental and social issues

This book discusses various aspects of water resources and environmental planning for the effective use and management of water, land, and air. Sustainable development is a holistic and systemic approach that takes into account analysis of multiple objectives, impact and risk analysis, and decision-making at the grass-roots level. Remote sensing and GIS data coupled with AI & ML techniques plays a crucial and integral role in this endeavour especially for water and environment-related problems.Remote sensing and geographic information system-based approach is required for the sustainable development of land, air, and water resources for proper utilization of resources based on their potential and limitations. The approach involves the extraction of information on soils, water resources (both surface and ground water), and integrating them with social, cultural, and economic needs of people using a GIS as a tool. Further, this integration helps in the generation of an action plan identifying specific interventions in a watershed based on contemporary technology, in consultation not only with scientific specialists in agriculture, horticulture, water resources, land use, forestry, and soil conservation, but also with social scientists, nongovernmental organizations, and beneficiary farmers in the watershed.This book also addresses recent applications of AI/ML/geoinformatics in landslides monitoring, flood mapping and management, land use/land cover mapping, water quality mapping, urban planning and development, traffic management and analysis, construction, and infrastructure development as well as mapping of natural resources.It is a state of art work complied in the edited book which will be useful for the students, researchers, academicians, and policy makers dealing with sustainable management of water resources and environment under climate change scenario with applications of AI & ML techniques in a lucid manner.