Sulochana Shekhar – författare

Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources.

Provides a comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource managementIncludes real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource managementPresents clear illustrations, diagrams, and pictures that make the content more understandable and engaging

This book provides compelling new insights into how cities are attempting to address sustainability challenges via major applications of geospatial technology in an urban area. It elucidates the role of geospatial techniques such as GIS and GNSS, including remote sensing in urban management, and covers the theory and practice of urban sustainability transitions. It provides case studies and contextualised tools for the governance of urban transitions to present various applications of geospatial techniques in an urban environment.Features:Covers hands-on approaches on quantitative measures of urban analyticsFocuses on sustainability issues in urban planning and developmentIncludes pertinent global case studies for implementation of urban planning practicesReviews the inter-relationship between smart cities and sustainable developmentThis book is aimed at graduate students, researchers, and professionals in GIS, urban sciences, and geography.

This book provides compelling new insights into how cities are attempting to address sustainability challenges via major applications of geospatial technology in an urban area. It elucidates the role of geospatial techniques such as GIS and GNSS, including remote sensing in urban management, and covers the theory and practice of urban sustainability transitions. It provides case studies and contextualised tools for the governance of urban transitions to present various applications of geospatial techniques in an urban environment.Features:Covers hands-on approaches on quantitative measures of urban analyticsFocuses on sustainability issues in urban planning and developmentIncludes pertinent global case studies for implementation of urban planning practicesReviews the inter-relationship between smart cities and sustainable developmentThis book is aimed at graduate students, researchers, and professionals in GIS, urban sciences, and geography.

The participatory slum mapping, cellular automata slum model, housing demand analysis, and the spatial decision support system demonstrated in the book help in monitoring and managing the slums and thus lead towards a slum-free India.