Land, as a fundamental resource in regional development, provides major opportunities for farming, housing, urban planning, and financing. In order to meet the requirements of the new era, every state has developed and implemented a series of policies according to its national specificities and to the international regulations and trends. Geospatial Technologies for Effective Land Governance is a pivotal reference source that provides vital research on the application of the use of GNSS, remote sensing, and GIS. While highlighting topics such as crop management, multispectral images, and irrigation, this publication explores land administration, encompassing both cadastral systems and land registration, as well as the methods of land governance strategies. This book is ideally designed for researchers, agricultural professionals, engineers, environmentalists, land developers, educators, students, and policymakers seeking current research on land and land-based conflicts in urban and rural communities.

The constant growth of the world’s population and the decline of the availability of land and soil resources are global concerns for food security. Other concerns are the decrease in productivity and delivery of essential ecosystems services because of the decline of soil quality and health by a range of degradation processes. Key soil properties like soil bulk density, organic carbon concentration, plant available water capacity, infiltration rate, air porosity at field moisture capacity, and nutrient reserves, are crucial properties for soil functionality which refers to the capacity of soil to perform numerous functions. These functions are difficult to measure directly and are estimated through indices of soil quality and soil health. Soil degradation, its extent and severity, can also be estimated by assessing indices of soil quality and health. "Geospatial Technology for Land Degradation Assessment and Management" uses satellite imagery and remote sensing technologies to measure landscape parameters and terrain attributes. Remote sensing and geospatial technologies are important tools in assessing the extent and the severity of land and soil degradation, their temporal changes, and geospatial distribution in a timely and cost-effective manner. The knowledge presented in the book by Dr. R.S. Dwivedi shows how remote sensing data can be utilized for inventorying, assessing, and monitoring affected ecosystems and how this information can be integrated in the models of different local settings. Through many land degradations studies, land managers, researchers, and policymakers will find practical applications of geospatial technologies and future challenges. The information presented is also relevant to advancing the Sustainable Development Goals of the United Nations towards global food security.

This book offers an overview of geospatial technologies in land resources mapping, monitoring and management. It consists of four main sections: geospatial technologies - principles and applications; geospatial technologies in land resources mapping; geospatial technologies in land resources monitoring; and geospatial technologies in land resources management. Each part is divided into detailed chapters that include illustrations and tables. The authors, from leading institutes, such as the ICAR-NBSS&LUP, IIT-B, NRSC, ICRISAT, share their experiences and offer case studies to provide advanced insights into the field. It is a valuable resource for the scientific and the teaching community, extension scientists at research institutes and agricultural universities/colleges as well as those involved in planning and managing land resources for sustainable agriculture and livelihood security.

Stress on natural resources has recently increased due to commercialization and the need to provide livelihoods for locals. Because they are such core parts of everyday life, ensuring sustainability in resource management is of paramount importance. Only by integrating the tools of spatial information science can an effective course for preserving and protecting natural resources be created. Spatial Information Science for Natural Resource Management is a pivotal reference source that explores coordinated approaches to sustainable development and management of natural resources to keep a balance of the environment, ecology, and human livelihood. Featuring coverage on a wide range of topics including crop yield estimation, ecosystem services, and land information systems, this book covers interdisciplinary techniques in monitoring and managing natural resources. This publication is ideally designed for urban planners, environmentalists, policymakers, ecologists, researchers, academicians, students, and professionals in the fields of remote sensing, civil engineering, social science, computer science, and information technology.

While megacities are a reality, so too are the environmental disturbances that they cause, including air and water pollution. These disturbances can be modeled with technology and data obtained by modern methods, such as by drone, to monitor cities in near real-time as well as help to simulate risk situations and propose future solutions. These solutions can be inspired by the theoretical principles of sustainable urbanism. Methods and Applications of Geospatial Technology in Sustainable Urbanism is a collection of innovative research that combines theory and practice on analyzing urban environments and applying sustainability principles to them. Highlighting a wide range of topics including geographic information systems, internet mapping technologies, and green urbanism, this book is ideally designed for urban planners, public administration officials, landscape analysts, geographers, engineers, entrepreneurs, academicians, researchers, and students.

Today, the relentless depletion of natural resources has reached a critical juncture, demanding innovative solutions. Advanced Geospatial Practices in Natural Environment Resource Management dives into the intricate tapestry of issues jeopardizing ecosystems. This book systematically dissects the fundamental drivers, traces the historical evolution, and elucidates the underlying causes that have led to this precarious point. From deforestation to pollution, from climate change to habitat destruction, these challenges are multifaceted. By harnessing the power of data-driven decision-making and predictive modeling, this book advocates for a profound shift in the approach to environmental issues. This book also explores the complexities of water, soil, and air-related challenges, offering technically sound solutions that strike a balance between legislative, economic, social, and political considerations. The holistic approach championed in these pages holds the potential to benefit governments, businesses, and communities alike. This book is ideal for a diverse audience, including students, scholars, and researchers, as well as environmental science enthusiasts, geospatial technology professionals, and AI/ML practitioners. Policymakers, environmental engineers, and professionals engaged in governmental and corporate sustainability initiatives will also discover practical solutions to address the pressing challenges.

As the world pivots towards a future defined by technological advancement, the pursuit of sustainable development faces intricate challenges that intertwine governance, management, and finance. The rapid growth of Industry and Society 5.0 necessitate innovative governance frameworks that can balance economic growth with environmental responsibility and social equity. Effective management strategies are crucial to integrating sustainable practices within both industry and society, ensuring that progress does not come at the expense of future generations. Sustainable Development in Industry and Society 5.0: Governance, Management, and Financial Implications offers an exploration of the multifaceted challenges and strategies for achieving sustainability in the era of advanced technological and societal transformation. This book delves into innovative governance frameworks that balance economic growth with environmental and social priorities. Covering topics such as financial literacy, policy and law, and sustainable investment, this book is a valuable resource for policymakers, academicians, researchers, government officials, business leaders, managers, financial analysts, technologists and innovators, post-graduate students, and educators.

Responsible land distribution in Asia, with ever-increasing limitations in space, requires the use of smart technologies, sophisticated models, intelligent algorithms, and big data repositories. This book presents new land management perspectives and fit-for-purpose, flexible, dynamic, and effective solutions for land management and land administration problems. Written by global experts from different Asian countries, including China, India, Indonesia, Iran, Japan, South Korea, Thailand, Vietnam, etc., all these cases demonstrate how and why the uptake of geospatial technologies is booming and how to handle land scarcity and competing spatial interests in both urban and rural areas in Asia. FEATURES Summarizes trends of geospatial technologies in Asia Describes and applies leading-edge geospatial models Explains fit-for-purpose digital land administration Provides case studies and examples that include the use of smart land management tools Helps readers advance their understanding of geospatial and land management science Truly an interdisciplinary book, this text is a practical guide for an array of readers, such as practitioners in public and private companies involved in both geospatial and land management applications, as well as graduate students, researchers, academics, and professionals working in land administration, land management, spatial planning, real estate studies, geosciences, geoinformatics, and geodesy.

With the emergence of smart technology and automated systems in today’s world, big data is being incorporated into many applications. Trends in data can be detected and objects can be tracked based on the real-time data that is utilized in everyday life. These connected sensor devices and objects will provide a large amount of data that is to be analyzed quickly, as it can accelerate the transformation of smart technology. The accuracy of prediction of artificial intelligence (AI) systems is drastically increasing by using machine learning and other probability and statistical approaches. Big data and geospatial data help to solve complex issues and play a vital role in future applications. Emerging Trends, Techniques, and Applications in Geospatial Data Science provides an overview of the basic concepts of data science, related tools and technologies, and algorithms for managing the relevant challenges in real-time application domains. The book covers a detailed description for readers with practical ideas using AI, the internet of things (IoT), and machine learning to deal with the analysis, modeling, and predictions from big data. Covering topics such as field spectra, high-resolution sensing imagery, and spatiotemporal data engineering, this premier reference source is an excellent resource for data scientists, computer and IT professionals, managers, mathematicians and statisticians, health professionals, technology developers, students and educators of higher education, librarians, researchers, and academicians.