Land Resources Monitoring Modeling And Mapping With Remote Sensing

A volume in the three-volume Remote Sensing Handbook series, Land Resources Monitoring, Modeling, and Mapping with Remote Sensing documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Remo

The wide range of challenges in studying Earth system dynamics due to uncertainties in climate change and complex interference from human activities is creating difficulties in managing land and water resources and ensuring their sustainable use. Mapping, Monitoring, and Modeling Land and Water Resources brings together real-world case studies accurately surveyed and assessed through spatial modeling. The book focuses on the effectiveness of combining remote sensing, geographic information systems, and R. The use of open source software for different spatial modeling cases in various fields, along with the use of remote sensing and geographic information systems, will aid researchers, students, and practitioners to understand better the phenomena and the predictions by future analyses for problem-solving and decision-making.

Geographic Information Science for Land Resource Management is a comprehensive book focusing on managing land resources using innovative techniques of spatial information sciences and satellite remote sensing. The enormous stress on the land resources over the years due to anthropogenic activities for commercialization and livelihood needs has increased manifold. The only solution to this problem lies in stakeholder awareness, which can only be attained through scientific means. The awareness is the basis of the sustainable development concept, which involves optimal management of natural resources, subject to the availability of reliable, accurate, and timely information from the global to local scales. GIScience consists of satellite remote sensing (RS), Geographical Information System (GIS), and Global Positioning System (GPS) technology that is nowadays a backbone of environmental protection, natural resource management, and sustainable development and planning. Being a powerful and proficient tool for mapping, monitoring, modeling, and managing natural resources can help understand the earth surface and its dynamics at different observational scales. Through the spatial understanding of land resources, policymakers can make prudent decisions to restore and conserve critically endangered resources, such as water bodies, lakes, rivers, air, forests, wildlife, biodiversity, etc. This innovative new volume contains chapters from eminent researchers and experts. The primary focus of this book is to replenish the gap in the available literature on the subject by bringing the concepts, theories, and experiences of the specialists and professionals in this field jointly. The editors have worked hard to get the best literature in this field in a book form to help the students, researchers, and policymakers develop a complete understanding of the land system vulnerabilities and solutions.

Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling couples artificial intelligence and remote sensing for mapping and modeling natural resources, thus expanding the applicability of AI and machine learning for soils and landscape studies and providing a hybridized approach that also increases the accuracy of image analysis. The book covers topics including digital soil mapping, satellite land surface imagery, assessment of land degradation, and deep learning networks and their applicability to land surface processes and natural hazards, including case studies and real life examples where appropriate. This book offers postgraduates, researchers and academics the latest techniques in remote sensing and geoinformation technologies to monitor soil and surface processes. ? Introduces object-based concepts and applications, enhancing monitoring capabilities and increasing the accuracy of mapping ? Couples artificial intelligence and remote sensing for mapping and modeling natural resources, expanding the applicability of AI and machine learning for soils and sediment studies ? Includes the use of new sensors and their applications to soils and sediment characterization ???????? Includes case studies from a variety of geographical areas

Filling the need for a comprehensive book that covers both theory and application, Remote Sensing of Land Use and Land Cover: Principles and Applications provides a synopsis of how remote sensing can be used for land-cover characterization, mapping, and monitoring from the local to the global scale. With contributions by leading scientists from aro

Remote Sensing of Soils: Mapping, Monitoring and Measurement covers the basic, theoretical and scientific concepts of multidisciplinary subjects, including sections that relate to soil sciences, remote sensing, geoinformatics, geomatics, civil and water resource engineering, geography, agriculture, disaster management and the earth and environmental sciences. The book consists of defined elements to help guide the reader, including an abstract, introductions, a literature review, methodology, results and discussions, findings, recommendations and conclusions. Each chapter includes theoretical information that is illustrated with flow charts, tables, figures, diagrams and other related illustrations. Site-specific research and case studies are described throughout with geographical and demographical data, current scientific issues, impacts, solutions and societal benefits, thus providing readers from multi-disciplinary backgrounds the tools they need to successful map, analyze and monitor soils. Covers multispectral, hyperspectral and SAR remote sensing analysis of soil properties, soil moisture, soil salinity, and soil organic matters, etc., in spatio-temporal scale Includes a section on digital soil mapping, including integrated RS, GIS and insitu surveyed data analysis for digital soil mapping using widely accepted models and approaches Ideal for readers in the soil sciences, remote sensing, geoinformatics, geomatics, civil and water resource engineering, geography, agriculture, disaster management, and earth and environmental sciences

This book presents an analysis of land and water resources in Siberia, initially characterizing the landscapes, their ecosystems, crucial processes, human impacts on soil and water quality, and the status quo of available research. Further chapters deal with modern monitoring and management methods that can lead to a significant knowledge shift and initiate sustainable soil and water resources use. These include soil hydrological laboratory measurement methods; process-based field evaluation methods for land and water quality; remote sensing and GIS technology-based landscape monitoring methods; process and ecosystem modeling approaches; methods of resource and process evaluation and functional soil mapping; and tools for controlling agricultural land use systems. More than 15 of these concrete monitoring and management tools can immediately be incorporated into research and practice. Maintaining the functions of great landscapes for future generations will be the reward for these efforts.

Earth Observation for Monitoring and Modeling Land Use presents a practical guide and theoretical overview of the latest techniques and Earth observation technologies applied to land use and land cover change through qualitative assessment of Earth observation technologies. The chapters include detailed case studies, Earth observation datasets, and detailed applications of the technologies covered, presented in a way that each chapter is a self-contained guide on a specific application of Earth observation technologies to land use problems, ensuring all technical and background information is provided on each subject without the need for cross-referencing or searching for other sources. The book spatializes the understanding of monitoring land cover and use, and quantifies the challenges faced, allowing analysis of the dynamics of the territory in terms of occupation processes, land use, and its transformations. They book focuses on practical applications of using remote sensing and modeling that support new research in relation to monitoring of land use and spectral modelling, elucidating the importance of advanced methodologies in the coverage and use mappings of the Earth. Mainly in spatial cutouts that present great environmental dynamism, such as areas that have undergone major infrastructure work, are suffering from deforestation, or areas experiencing accelerated population growth. Earth Observation for Monitoring and Modeling Land Use offers up-to-date methodologies for postgraduate students, researchers, academics and professionals in the field of remote sensing, geography, land change study, geospatial research, environmental science, and sustainability, providing them with a critical overview of state-of-the-art Earth observation technologies in this subject. Focuses on a variety of interdisciplinary applications using Earth observation data,technologies and machine learning techniques to address various challenges in land use change Detailed application-specific discussions will allow readers to understand the different applications of tools aimed at observing the Earth's surface Includes theoretical and applied research contributions along with background information on the use of current technologies applied to land use and land resources Presents summaries of technical information and data handling that will enable readers to understand the key benefits of Earth observation technologies in respect to land use