Globally, concerns for the environment and human well-being have increased as results of threats imposed by climate change and disasters, environmental degradation, pollution of natural resources, water scarcity and proliferation of slums. Finding appropriate solutions to these threats and challenges is not simple, as these are generally complex and require state-of-the-art technology to collect, measure, handle and analyse large volumes of varying data sets. However, the recent advances in sensor technology, coupled with the rapid development of computational power, have greatly enhanced our abilities to capture, store and analyse the surrounding physical environment. This book explores diverse dimensions of geo-intelligence (GI) technology in developing a computing framework for location-based, data-integrating earth observation and predictive modelling to address these issues at all levels and scales. The book provides insight into the applications of GI technology in several fields of spatial and social sciences and attempts to bridge the gap between them.

This textbook aims to develop a scientific knowledge base on spatial information technology to communicate the United Nations' Sustainable Development Goals (SDGs) among students, researchers, professionals and laymen. The book improves understanding of the spatial database and explains how to extract information from this for planning purposes. To enhance the knowledge of geoscientists and environmentalists, the book describes the basic fundamental concepts to advance techniques for spatial data management and analysis and discusses the methodology. The Geographic Information System (GIS), remote sensing and Global Positioning System (GPS) are presented in an integrated manner for the planning of resources and infrastructure. The management of these systems is discussed in a very lucid way to develop the reader's skills. The proper procedure for map making and spatial analysis are included along with case studies to the reader. Where the first part of the book discusses the conceptual background, the second part deals with case studies using these applications in different disciplines. The presented case studies include land use, agriculture, flood, watershed characterization and infrastructure assessment for the Sustainable Development Goals.

Decision makers, such as government officials, need to better understand human activity in order to make informed decisions. With the ability to measure and explore geographic space through the use of geospatial intelligence data sources including imagery and mapping data, they are better able to measure factors affecting the human population. As a broad field of study, geospatial research has applications in a variety of fields including military science, environmental science, civil engineering, and space exploration. Geospatial Intelligence: Concepts, Methodologies, Tools, and Applications explores multidisciplinary applications of geographic information systems to describe, assess, and visually depict physical features and to gather data, information, and knowledge regarding human activity. Highlighting a range of topics such as geovisualization, spatial analysis, and landscape mapping, this multi-volume book is ideally designed for data scientists, engineers, government agencies, researchers, and graduate-level students in GIS programs.

This two-volume set showcases the various ways in which geospatial technology can be used to achieve sustainable development goals across different sectors such as urban planning, natural resource management, agriculture, disaster management, and energy management. The books provide insights into the potential of geospatial technology in promoting sustainable development practices and addressing challenges related to climate change, environmental degradation, and socio-economic development. Both volumes together are a comprehensive guide that showcases the potential of geospatial technology in promoting sustainable development practices across different sectors, and will serve as an essential resource for professionals, policymakers, researchers, and students interested in sustainable development and geospatial technology. Volume 1 introduces the intertwined realms of sustainable development and geospatial technology. It navigates readers through the fundamental principles of sustainable development, exploring its goals and the pivotal role geospatial technology plays in its realization. Beginning with an overview of these critical concepts, it subsequently dives into the core foundations of geospatial technology, covering Geographic Information Systems (GIS), remote sensing, spatial data analysis, and data visualization. The volume also encompasses the practical aspects of sustainable urban planning, natural resource management, and transportation planning using GIS, underpinning the relevance of geospatial technology in addressing contemporary global challenges.

This proceedings volume focuses on the importance and power of spatial thinking and planning, especially by applying geospatial technologies in solving the past and current global problems such as environmental degradation, urban pollution, climate change, agricultural management and epidemiology.The proceedings of the International Conference on Geography and Geoinformatics for Sustainable Development 2018 (ICGGS 2018) consist of a wide range of case studies from developing countries. The contributions address challenges of developing countries in mainstreaming sustainable development paradigm into their economy with the aim to improve and manage natural resources and environment in a sustainable manner. One of the main goals of the conference and the proceedings is to share and exchange different perspectives on global, regional and local spatial issues and how the concept of spatial planning and thinking can be used in building resilience to natural and anthropogenic threats in many sectors (such as water, ecosystem, agriculture and health). This includes a summary of how the key concepts of geospatial technologies could contribute to environmental sustainability and the Sustainable Development Goals (SDGs) as well as an outlook on challenges and opportunities for sustainable development. This book explains how geoinformatics can help analyse, model and explain sustainable development within a geographic context and thus provide the integrative framework necessary for global collaboration consensus and evidence-based decision-making. It highlights the vital and integrative role of geospatial information in driving sustainable development and thus can be used as a tool to put the 2030 Agenda for Sustainable Development into practice. This volume can be a useful resource for readers regarding research on geospatial issues on both the regional and local scale. Both undergraduate and graduate students around the globe can advance their academic and research knowledge of past and present environmental problems and learn how geospatial planning can be applied for sustainable development. It also appeals to researchers, academics, practitioners, community developers and policy makers interested in promoting sustainable development.

GIS for Sustainable Development examines how GIS applications can improve collaboration in decision making among those involved in promoting sustainable development. This volume reviews leading GIScience, providing an overview of research topics and applications that enable GIS newcomers and professionals to apply GIScience methods to susta

"This book tackles topics related to development of Geographic Information in terms of the technologies available for retrieving, managing, and analyzing geographical data"--Provided by publisher.

The management of data to understand complex and interwoven processes of sustainable development has been a great challenge for researchers, planners, and decision makers. Remote sensing and GIS-based policy decision support systems not only help them to solve spatially related environmental and socio-economic issues; they also provide a powerful tool for integrating spatial and non-spatial datasets with analytical and spatial models and knowledge domains. Recent advances in the modern spatial tools of remote sensing and GIS combined with advanced computation techniques have enhanced the efficiency and capabilities of policy development. This book expands the scientific knowledge base in various physical and socio-economic issues among scholars, planners, and decision makers for policy development and research regarding sustainable development. It also demonstrates the importance of modern spatial decision support tools of remote sensing and GIS to better understand sustainable development processes and policy development. Furthermore, the book discusses case studies providing new insights as to how remote sensing and GIS-based decision support systems contribute to understanding physical and socio-economic processes and developing pragmatic policy for sustainable development. This book covers land surface temperature, hydrological processes, terrain mapping, flood and landslide hazards, land use and land cover dynamics, crime hotspots, urban health issues, tourism, agriculture, forest management, flood mitigation, urban sprawl, and village information systems, among others. Readers will find this book to be an invaluable resource for understanding and solving diverse physical and human issues for policy development related to sustainable planning and management.