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.

This exciting new volume will provide a comprehensive overview of the applications of geoinformatics technology for engineers, scientists, and students to become more productive, more aware, and more responsive to global climate change issues and how to manage sustainable development of Earth's resources. Over the last few years, the stress on natural resources has increased enormously due to anthropogenic activities especially through urbanization and industrialization processes. Sustainable development while protecting the Earth's environment involves the best possible management of natural resources, subject to the availability of reliable, accurate and timely information on regional and global scales. There is an increasing demand for an interdisciplinary approach and sound knowledge on each specific resource, as well as on the ecological and socio-economic perspectives related to their use. Geoinformatics, including Remote Sensing (RS), Geographical Information System (GIS), and Global Positioning System (GPS), is a groundbreaking and advanced technology for acquiring information required for natural resource management and addressing the concerns related to sustainable development. It offers a powerful and proficient tool for mapping, monitoring, modeling, and management of natural resources. There is, however, a lack of studies in understanding the core science and research elements of geoinformatics, as well as larger issues of scaling to use geoinformatics in sustainable development and management practices of natural resources. There is also a fundamental gap between the theoretical concepts and the operational use of these advance techniques. Sustainable Development Practices Using Geoinformatics, written by well-known academicians, experts and researchers provides answers to these problems, offering the engineer, scientist, or student the most thorough, comprehensive, and practical coverage of this subject available today, a must-have for any library.

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 analytics Focuses on sustainability issues in urban planning and development Includes pertinent global case studies for implementation of urban planning practices Reviews the inter-relationship between smart cities and sustainable development This book is aimed at graduate students, researchers, and professionals in GIS, urban sciences, and geography.

The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm. - Introduces new deep learning models developed to address sustainable solutions for issues related to agriculture - Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable agriculture - Illustrates through case studies how deep learning has been used to address a variety of agricultural diseases that are currently on the cutting edge - Delivers an accessible explanation of artificial intelligence algorithms, making it easier for the reader to implement or use them in their own agricultural domain

This book presents focussed information related to dynamic cropland transformation, agriculture development, climate change, and environment with the application of advance geospatial technology. It describes research using geospatial tools and techniques to develop the models, design, and planning for agricultural land use optimization especially in south Asian countries. It covers agriculture production, water scarcity, industrial development, natural resources, environmental degradation, and sustainable development. Features: Provides the adaptation strategy from a multidisciplinary resilience perspective Addresses contemporary agricultural resilience to various climate change issues Develops novel approaches for sustainability with environmentally sound practices Discusses methodological and innovative approaches at local to global perspective Reports research using geospatial tools and techniques to develop the models, design, and planning for agricultural land use optimization The book is aimed at researchers, professionals, and graduate students in GIS, environmental engineering, geography, agriculture, and climate studies.

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.

"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.

As climate change and urban development are closely interlinked and often interact negatively, this edited volume takes Ho Chi Minh City (HCMC), Vietnam’s first mega-urban region as a case study to analyse its vulnerability to climate change and to suggest measures towards a more sustainable urban development. The book offers an overview on land use planning regarding the aspects of urban flooding, urban climate, urban energy and urban mobility as well as spatial views from the angle of urban planning such as the metropolitan level, the city, the neighbourhood and building level. It shows that to a significant degree, measures dealing with climate change can be taken from the toolbox of sustainable urban development and reflects how institutional structures need to change to enhance chances for implementation given socio-cultural and economic constraints. This is merged and integrated into a holistic perspective of planning recommendations, supporting the municipal government to increase its adaptive capacity. The authors are members of a German government funded research project on how to support HCMC’s municipal government to adapt to risks related to climate change.

This book attempts to provide insights into the achievement of a sustainable urban form, through spatial planning and implementation; here, we focus on planning experiences at the levels of local cities and some metropolitan areas in Asian countries. This book investigates the impact of planning policy on spatial planning implementation, from multidisciplinary viewpoints encompassing land-use patterns, housing development, transportation, green design, and agricultural and ecological systems in the urbanization process. We seek to learn from researchers in an integrated multidisciplinary platform that reflects a variety of perspectives, such as economic development, social equality, and ecological protection, with a view to achieving a sustainable urban form.​

This book is a printed edition of the Special Issue "Regional Cooperation for the Sustainable Development and Management in Northeast Asia" that was published in Sustainability