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  • 1
    Keywords: Geographic information systems. ; Quantitative research. ; Artificial intelligence. ; Medical care. ; Geographical Information System. ; Data Analysis and Big Data. ; Artificial Intelligence. ; Health Care.
    Description / Table of Contents: Potential of Geospatial Data in Healthcare for Society 5.0 -- Geospatial Health Data Analytics for Society 5.0 -- Relevance of spatio-temporal data visualisation techniques in healthcare system -- GIS and Remote Sensing for public health -- Infectious diseases and their tracking in GIS.
    Abstract: The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis.
    Type of Medium: Online Resource
    Pages: VIII, 318 p. 116 illus., 73 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811694769
    Series Statement: Disruptive Technologies and Digital Transformations for Society 5.0,
    DDC: 910.285
    Language: English
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  • 2
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Geographic information systems. ; Environmental geography. ; Public health. ; Big data. ; Epidemiology. ; Geographical Information System. ; Integrated Geography. ; Public Health. ; Big Data. ; Epidemiology.
    Description / Table of Contents: Chapter 1-Building the analytic toolbox-from spatial analytics to spatial statistical inference with geospatial data -- Chapter 2-Spatial data integration to better represent pollutants for environmental health studies -- Chapter 3-Spatial health data analysis-data driven and model driven approaches. Chapter 4 -- Machine learning, big data and spatial tools-a combination to reveal complex facts that impact environmental health -- Chapter 5-Spatial aspects of seasonality and infectious diseases -- Chapter 6-Earth observation data and technology to model influenza epidemiology -- Chapter 7-Trend of geospatial technology in environmental health application-from public health to individual healthcare -- Chapter 8-Geospatial technology to analyze human well-being and its eco-social determinants -- Chapter 9-Spatial components of population health -- Chapter 10-Geospatial technology in medical geology -- Chapter 11-Geospatial technology in planning and operations of telehealth programs -- Chapter 12-Integrating GIS, toxicology, microbiology and geochemistry-a multidisciplinary integrated approach for better understanding the public health issues.
    Abstract: Over the last thirty years or so, there have been tremendous advancements in the area of geospatial health; however, somehow, two aspects have not received as much attention as they should have received. These are a) limitations of different spatial analytical tools and b) progress in making geospatial environmental exposure data available for advanced health science research and for medical practice. This edited volume addresses those two less explored areas of geospatial health with augmented discussions on the theories, methodologies and limitations of contemporary geospatial technologies in a wide range of applications related to human well-being and health. In 20 chapters, readers are presented with an up-to-date assessment of geospatial technologies with an emphasis on understanding general geospatial principles and methodologies that are often overlooked in the research literature. As a result, this book will be of interest to both newcomers and experts in geospatial analysis and will appeal to students and researchers engaged in studying human well-being and health. Chapters are presenting new concepts, new analytical methods and contemporary applications within the framework of geospatial applications in human well-being and health. The topics addressed by the various chapter authors include analytical approaches, newer areas of geospatial health application, introduction to unique resources, geospatial modeling, and environmental pollution assessments for air, water and soil. Although geospatial experts are expected to be the primary readers, this book is designed in such a way so that the public health professionals, environmental health scientists and clinicians also find it useful with or without any familiarity with geospatial analysis.
    Type of Medium: Online Resource
    Pages: XVIII, 417 p. 141 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030713775
    DDC: 910.285
    Language: English
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  • 3
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Geographic information systems. ; Statistics . ; Computer science Mathematics. ; Mathematical statistics. ; Functions of complex variables. ; Algorithms. ; Geographical Information System. ; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. ; Probability and Statistics in Computer Science. ; Several Complex Variables and Analytic Spaces. ; Algorithms.
    Description / Table of Contents: Chapter 1: Binary Variable Versus Binary Variable -- Chapter 2: Binary Variable Versus Rank Variable -- Chapter 3: Application of the Total Operating Characteristic -- Chapter 4: Categorical Variable Versus Categorical Variable -- Chapter 5: Application to Categorical Error Assessment with Sampling -- Chapter 6: Multiple Spatial Resolutions for Categorical Variables -- Chapter 7: Application to Categorical Temporal Change -- Chapter 8: Interval Variable Versus Interval Variable -- Chapter 9: Application to Interval Temporal Change -- Chapter 10: Indices of Agreement -- Chapter 11: Vector Variable Versus Vector Variable -- Chapter 12: Commandments to Avoid Deadly Sins.
    Abstract: Your government warns that 10% of your neighbors have a deadly contagious virus. The producer of a diagnostic test advertises that 90% of its tests are correct for any population. The test indicates that you have the virus. This book’s author claims your test has a 50% chance of being false, given your test’s result. Who do you believe? This book gives you insights necessary to interpret metrics that make a difference in life’s decisions. This book gives methods and software that are essential to analyse change and error. Change describes a phenomenon across time points. Error compares diagnoses with the truth. Other texts give insufficient attention to these topics. This book’s novel ideas dispel popular misconceptions and replace previous methods. The author uses carefully designed graphics and high school mathematics to communicate easily with college students and advanced scientists. Applications include but are not limited to Remote Sensing, Land Change Science, and Geographic Information Science. “A wide range of tools to aid understanding of land cover and its change has been used but scientific progress has sometimes been limited through misuse and misunderstanding. Professor Pontius seeks to rectify this situation by providing a book to accompany the researcher’s toolbox. Metrics That Make a Difference addresses basic issues of relevance to a broad community in a mathematically friendly way and should greatly enhance the ability to elicit correct information. I wish this book existed while I was a grad student.” – Giles Foody, Professor of Geographical Information Science, The University of Nottingham “Metrics That Make a Difference provides a comprehensive synthesis of over two decades of work during which Dr. Pontius researched, developed, and applied these metrics. The book meticulously and successfully guides the reader through the conceptual basis, computations, and proper interpretation of the many metrics derived for different types of variables. The book is not just a mathematical treatise but includes practical guidance to good data analysis and good science. Data scientists from many fields of endeavor will benefit substantially from Dr. Pontius’ articulate review of traditionally used metrics and his presentation of the innovative and novel metrics he has developed. While reading this book, I had multiple ‘aha’ moments about metrics that I shouldn't be using and metrics that I should be using instead.” – Stephen Stehman, Distinguished Teaching Professor, State University of New York.
    Type of Medium: Online Resource
    Pages: XXI, 117 p. 17 illus., 16 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030707651
    Series Statement: Advances in Geographic Information Science,
    DDC: 910.285
    Language: English
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  • 4
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Geographic information systems. ; Environmental monitoring. ; Physical geography. ; Environment. ; Geographical Information System. ; Environmental Monitoring. ; Earth System Sciences. ; Environmental Sciences.
    Description / Table of Contents: Chapter 1-Why this Topic? -- Chapter 2-Global Warming Impact on Earth Systems -- Chapter 3-The IPCC Reports on Global Warming and Land Changes -- Chapter 4.NOAA Operational Environmental Satellites for Earth Monitoring -- Chapter 5-New Remote Sensing Vegetation Health Technology -- Chapter 6-Cause of Climate Warming -- Chapter 7- Land Cover Changes from Intensive Climate Warming -- Chapter 8-Global Warming Crop Yield and Food Security -- Chapter 9-Remote Sensing Malaria During Global Warming -- Chapter 10-Malaria Performance Trend During 1981-2022 -- Chapter 11-Remote Sensing Drought Watch and Food Security -- Chapter 12-Has Drought Intensified During 1981-2021 Global Warming?
    Abstract: This book discusses the detrimental consequences of climate-related land changes over a 40-year period between 1981 and 2020, and focuses on how climate warming is deteriorating the agricultural system due to excessive heat, lack of moisture and more intensive and widespread droughts leading to a reduction of agricultural production. Most of the existing literature on the unfavourable consequences of global warming for land are based on a relatively short period of weather station data, covering local land areas with limited networks and monitoring parameters. These concerns have led to the use of satellite data, whose measurements are controlled by such vegetation characteristics as chlorophyll, carotenoids, moisture contents in the plants and temperature inside the vegetation community. Therefore, the discussion of this book is completely based on high-resolution global land surface measurements by the sensors on the National Oceanic and Atmospheric Administration’s (NOAA) operational afternoon polar-orbiting satellites. The book also focuses on understanding climate change impacts on land changes where humans are living, and combines biophysically-grounded methods and the 40-year data to develop models for monitoring large-scale Earth warming impacts on land and for timely prediction of climate consequences for humans. These 40-year trends in land characteristics will help to better inform the assessment of potential changes in the future and how to reach human sustainability. The book will of interest to scientists using satellite remote sensing to track climate change impacts on land over time, as well as students and researchers in climatology and environmental sustainability. .
    Type of Medium: Online Resource
    Pages: IX, 462 p. 159 illus., 126 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030968106
    DDC: 910.285
    Language: English
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  • 5
    Keywords: Geographic information systems. ; Machine learning. ; Signal processing. ; Geology. ; Environmental monitoring. ; Geographical Information System. ; Machine Learning. ; Signal, Speech and Image Processing . ; Geology. ; Environmental Monitoring.
    Description / Table of Contents: Preface.-Mine geological environment: An overview.-Multimodal remote sensing science and technology.-Deep learning technology for remote sensing intelligent interpretation.-Remote sensing interpretation signs of mine land occupation type -- Mine remote sensing dataset construction for multi-level tasks -- Mine target detection by remote sensing and deep learning -- Mine remote sensing scene classification by deep learning -- Mine land occupation classification based on machine learning and remote sensing images -- Mine land occupation classification based on deep learning and remote sensing images -- Concluding remarks.
    Abstract: This book examines the theory and methods of remote sensing intelligent interpretation based on deep learning. Based on geological and environmental effects on mines, this book constructs a set of systematic mine remote sensing datasets focusing on the multi-level task with the system of “target detection→scene classification→semantic segmentation." Taking China’s Hubei Province as an example, this book focuses on the following four aspects: 1. Development of a multiscale remote sensing dataset of the mining area, including mine target remote sensing dataset, mine (including non-mine areas) remote sensing scene dataset, and semantic segmentation remote sensing dataset of mining land cover. The three datasets are the basis of intelligent interpretation based on deep learning. 2. Research on mine target remote sensing detection method based on deep learning. 3. Research on remote sensing scene classification method of mine and non-mine areas based on deep learning. 4. Research on the fine-scale classification method of mining land cover based on semantic segmentation. The book is a valuable reference both for scholars, practitioners and as well as graduate students who are interested in mining environment research.
    Type of Medium: Online Resource
    Pages: XII, 246 p. 110 illus., 89 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811937392
    DDC: 910.285
    Language: English
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  • 6
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Geographic information systems. ; Geography. ; Computer programming. ; Geographical Information System. ; Geography. ; Programming Techniques.
    Description / Table of Contents: Chapter 1. Introduction to Scripting and Programming -- Chapter 2. Basics of programming—Variables, Operators, & Statements -- Chapter 3. Basics of programming—Control Structures -- Chapter 4. Basics of programming—Functions and Objects -- Chapter 5. Reading a Python Script -- Chapter 6. Debugging -- Chapter 7. Introduction to ArcPy -- Chapter 8. Basics of accessing data in ArcGIS -- Chapter 9. Rasters -- Chapter 10. Tables and Cursors -- Chapter 11. Vectors and Geometries -- Chapter 12. Mapping--symbologies -- Chapter 13. Mapping—layouts -- Chapter 14. Creating custom tools -- Chapter 15. Error Handling -- Chapter 16. Creating Custom Classes -- Chapter 17. Putting it all together -- Chapter 18. ArcPy for Web GIS using ArcGIS Online -- Chapter 19. Incorporating External Packages -- Chapter 20. Using Multiple Python Files -- Chapter 21. Developing a Custom Python Package.
    Abstract: This upper-undergraduate textbook teaches students programming in GIS using a mix of computer science theory and hands-on activities, with the aim of empowering students to understand fundamentals and apply their knowledge beyond the specific examples in the book. Each of the book’s twenty-one chapters integrates instructional material with exercises in ArcGIS Pro. In doing so, this book combines the strengths of workbooks and theoretical textbooks to provide a holistic and comprehensive text. Each chapter concludes with an unguided task that ensures students have learned the broader principles explained therein. In addition to its unique format, the book covers oft-neglected topics such as debugging, creating a program from scratch, and managing metadata. Section I starts with the principles of scripting and programming with Python. Section II introduces the ArcPy module and elements specific to ArcGIS Pro. This section focuses on data structures, and how they are used and implemented within Python. Section III uses the topic of algorithms to guide the student through creating tools to add functionality to ArcGIS Pro. The last section, Section IV, builds upon section III to guide the student to developing and sharing projects and Python packages to include external open-source code and share the Python code as an open-source package. This text will prepare students for a long-term ability to do GIS programming, whether in industry or academic research. This comes from the author’s observations of students who have learned GIS programming in one platform, such as VBA in ArcMap, struggle to apply that knowledge to a new platform, such as Python in ArcGIS Pro, because the content was presented too closely with a specific platform. The integration of exercises with conceptual content, along with the choice of chapter content, serves this goal of preparing students for working in a dynamic, rapidly changing technology field.
    Type of Medium: Online Resource
    Pages: XII, 267 p. 110 illus., 88 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783031084980
    Series Statement: Springer Textbooks in Earth Sciences, Geography and Environment,
    DDC: 910.285
    Language: English
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  • 7
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Geographic information systems. ; Property. ; Common law. ; Industries. ; Economic geography. ; Geographical Information System. ; Common Property and Land Law. ; Industries. ; Economic Geography.
    Description / Table of Contents: Chapter 1 -- Brief history of "the beach" in Florida. Chapter 2 -- The legal geography of the beach. Chapter 3 -- The value of the property on/near the beach, despite natural hazard risk. Chapter 4 -- Capturing the beach experience. Chapter 5 -- Assessing public space along Florida beaches: NW FL case study. Chapter 6 -- Sketch mapping accessibility. Chapter 7 -- Explicit territoriality: good/bad fences. Chapter 8 -- Implied territoriality: good/bad neighbors. Chapter 9 -- Mapping the potential of conflict: transboundary viewsheds. Chapter 10 -- Conclusion: bringing it all together. .
    Abstract: This book offers a theoretical and practical exploration of the beach as space and place (i.e. territoriality) through three disciplinary lenses (Political Science, Geography, Art), utilizing the lens of territoriality and field-based participant cartographic mapping to understand better the ways in which the developed shoreline in Florida is territorialized. The book approaches the complex topic of territoriality on Florida’s beaches from two novel but related methods: participatory mapping/cartography and performance art. Both methods involve participants interacting with, perceiving, and ultimately representing feelings about a place. One method captures those feelings through the medium of the cartographic product (or a map), while the other leads to a set of symbols (flags), performance (actions in place) and visceral record (photography, sound, and journaling). Readers will gain insight into the role of political systems, ideological climates, local culture (including diverse cultures throughout the Florida state territory), and environmental history and challenges in shaping territoriality. The book will be of interest to a wide array of scholars working in coastal and land use planning topics at the intersection of geography, political science and art, including urban planners, land managers, and associated stakeholders dealing with ongoing tensions between private and public property rights on and near beaches.
    Type of Medium: Online Resource
    Pages: XIV, 100 p. 39 illus., 31 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030973155
    DDC: 910.285
    Language: English
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  • 8
    Keywords: Geographic information systems. ; Cartography. ; Physical geography. ; Geographical Information System. ; Cartography. ; Earth System Sciences.
    Description / Table of Contents: Chapter 1. About this book -- Part I. Concepts, data and validation -- Chapter 2. Land Use Cover mapping, modelling and validation. A background -- Chapter 3. Validation of Land Use Cover maps: a guideline -- Chapter 4. Land Use Cover Datasets: a review -- Part II. Data access and visualization -- Chapter 5. Visualization and communication of LUC data -- Chapter 6. Sample data for thematic accuracy assessment in QGIS -- Part III. Tools to validate Land Use Cover maps: a review -- Chapter 7. Basic and Multiple-Resolution Cross Tabulation to validate Land Use Cover maps -- Chapter 8. Metrics based on a Cross-Tabulation matrix to validate Land Use Cover maps -- Chapter 9. Pontius Jr. methods based on a Cross Tabulation matrix to validate Land Use Cover maps -- Chapter 10. Validation of soft maps produced by a Land Use Cover Change model -- Chapter 11. Spatial metrics to validate Land Use Cover maps -- Chapter 12. Advanced pattern analysis to validate Land Use Cover maps -- Chapter 13. Geographically Weighted methods to validate Land Use Cover maps -- Part IV. Land Use Cover datasets: a review -- Chapter 14. Global general Land Use Cover datasets with a single date,- Chapter 15. Global general Land Use Cover datasets with a time series of maps -- Chapter 16. General Land Use Cover datasets for Europe -- Chapter 17. General Land Use Cover datasets for Africa -- Chapter 18. General Land Use Cover datasets for America and Asia -- Chapter 19. Global thematic Land Use Cover datasets characterizing vegetation covers -- Chapter 20. Global thematic Land Use Cover datasets characterizing agricultural covers -- Chapter 21. Global thematic Land Use Cover datasets characterizing artificial covers -- Chapter 22. Supra-national thematic Land Use Cover datasets.
    Abstract: This open access book represents a comprehensive review of available land-use cover data and techniques to validate and analyze this type of spatial information. The book provides the basic theory needed to understand the progress of LUCC mapping/modeling validation practice. It makes accessible to any interested user most of the research community's methods and techniques to validate LUC maps and models. Besides, this book is enriched with practical exercises to be applied with QGIS. The book includes a description of relevant global and supra-national LUC datasets currently available. Finally, the book provides the user with all the information required to manage and download these datasets.
    Type of Medium: Online Resource
    Pages: XIV, 462 p. 273 illus., 226 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030909987
    DDC: 910.285
    Language: English
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  • 9
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Geographic information systems. ; Quantitative research. ; Environmental sciences Mathematics. ; Database management. ; Geography. ; Geographical Information System. ; Data Analysis and Big Data. ; Mathematical Applications in Environmental Science. ; Database Management System. ; Geography.
    Description / Table of Contents: Part A Basics and Computer Science: -- Modeling of Geographic Information -- Mathematics and Statistics -- Databases -- Encoding of Geographic Information -- Big Data Analytics -- Part B Geographic Information: -- Geographic Information Systems (GIS) -- Change Detection -- Geodesy -- Data Acquisition in Geographic Information Systems -- Remote Sensing -- Surveying -- Geometry and Topology -- Cartography -- Geospatial Metadata -- Standardization of Geographic Information -- Geospatial Web Services -- Geosemantic Interoperability and the Geospatial Semantic -- Registration of Geospatial Information Elements -- Security for Open Distributed Geospatial Information Systems -- Part C Applications: -- Cadastre -- Building Information Modeling -- Location Based Services -- Marine Geographic Information Systems -- Geographic Information Systems in Agriculture -- Geographic Information Systems in Defense -- Geographic Information Systems for Transportation -- Geology -- Geographic Information Systems in Energy and Utilities -- Geographic Information Systems in Health and Human Services -- Open Source Geographic Information Systems -- Smart Cities.
    Abstract: This handbook provides an exhaustive, one-stop reference and a state-of-the-art description of geographic information and its use. This new, substantially updated edition presents a complete and rigorous overview of the fundamentals, methods and applications of the multidisciplinary field of geographic information systems. Designed to be a useful and readable desk reference book, but also prepared in various electronic formats, this title allows fast yet comprehensive review and easy retrieval of essential reliable key information. The Springer Handbook of Geographic Information is divided into three parts. Part A, Basics and Computer Science, provides an overview on the fundamentals, including descriptions of databases and encoding of geographic information. It also covers the underlying mathematical and statistics methods and modeling. A new chapter exemplifies the emerging use and analysis of big data in a geographic context. Part B offers rigorous descriptions of gathering, processing and coding of geographic information in a standardized way to allow interoperable use in a variety of systems; from traditional methods such as geodesy and surveying to state-of-the-art remote sensing and photogrammetry; from cartography to geospatial web services. Discussions on geosemantic interoperability and security of open distributed geospatial information systems complete the comprehensive coverage. The final part describes a wide array of applications in science, industry and society at large, such as agriculture, defense, transportation, energy and utilities, health and human services. The part is enhanced by new chapters on smart cities and building information modeling, as well as a complete overview of the currently available open-source geographic information systems. Using standardized international terminology, in accordance with ISO/TC 211 and INSPIRE, this handbook facilitates collaboration between different disciplines and is a must have for practitioners and new comers in industry and academia.
    Type of Medium: Online Resource
    Pages: XXXIV, 969 p. 620 illus. , online resource.
    Edition: 2nd ed. 2022.
    ISBN: 9783030531256
    Series Statement: Springer Handbooks,
    DDC: 910.285
    Language: English
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  • 10
    Keywords: Geographic information systems. ; Artificial intelligence. ; Machine learning. ; Geographical Information System. ; Artificial Intelligence. ; Machine Learning.
    Description / Table of Contents: From Representation to Geocomputation: Some Theoretical Accounts of Geographic Information Science -- On Holo-Spatial Information System -- The Virtual Geographic Environment—More than the Digital Twin of the Physical Geographical Environments -- Big Remote Sensing Data as Curves -- GIScience from the Viewpoint of Information Science -- Towards Place-based GIS -- The Bottom-up Approach and De-mapping Direction of GIS -- The Geography of Geography -- Classification and Description of Geographic Information: a Comprehensive Expression Framework -- On the Third Law of Geography -- Human Mobility and the Neighborhood Effect Averaging Problem (NEAP) -- How to Form and Answer the So What Question in GIScience -- Prospects on Causal Inferences in GIS -- Bayesian Methods for Geospatial Data Analysis.
    Abstract: This book is a collection of seminal position essays by leading researchers on new development in Geographic Information Sciences (GIScience), covering a wide range of topics and representing a variety of perspectives. The authors propose enrichments and extensions to the conceptual framework of GIScience; discuss a series of transformational methodologies and technologies for analysis and modeling; elaborate on key issues in innovative approaches to data acquisition and integration, across earth sensing to social sensing; and outline frontiers in application domains, spanning from natural science to humanities and social science, e.g., urban science, land use and planning, social governance, transportation, crime, and public health, just name a few. The book provides an overview of the strategic directions on GIScience research and development. It will benefit researchers and practitioners in the field who are seeking a high-level reference regarding those directions.
    Type of Medium: Online Resource
    Pages: X, 381 p. 69 illus., 54 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811938160
    DDC: 910.285
    Language: English
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  • 11
    Keywords: Geographic information systems. ; Data mining. ; Cooperating objects (Computer systems). ; Machine learning. ; Computational intelligence. ; Geographical Information System. ; Data Mining and Knowledge Discovery. ; Cyber-Physical Systems. ; Machine Learning. ; Computational Intelligence.
    Abstract: This book is the proceeding of the 1st International Conference on Distributed Sensing and Intelligent Systems (ICDSIS2020) which will be held in The National School of Applied Sciences of Agadir, Ibn Zohr University, Agadir, Morocco on February 01-03, 2020. ICDSIS2020 is co-organized by Computer Vision and Intelligent Systems Lab, University of North Texas, USA as a scientific collaboration event with The National School of Applied Sciences of Agadir, Ibn Zohr University. ICDSIS2020 aims to foster students, researchers, academicians and industry persons in the field of Computer and Information Science, Intelligent Systems, and Electronics and Communication Engineering in general. The volume collects contributions from leading experts around the globe with the latest insights on emerging topics, and includes reviews, surveys, and research chapters covering all aspects of distributed sensing and intelligent systems. The volume is divided into 5 key sections: Distributed Sensing Applications; Intelligent Systems; Advanced theories and algorithms in machine learning and data mining; Artificial intelligence and optimization, and application to Internet of Things (IoT); and Cybersecurity and Secure Distributed Systems. This conference proceeding is an academic book which can be read by students, analysts, policymakers, and regulators interested in Distributed Sensing, Smart Network approaches, Smart Cities, IoT Applications, and Intelligent Applications. It is written in plain and easy language, and describes new concepts when they appear first so that a reader without prior background of the field finds it readable. The book is primarily intended for research students in sensor networks and IoT applications (including intelligent information systems, and smart sensors applications), academics in higher education institutions including universities and vocational colleges, policy makers and legislators. .
    Type of Medium: Online Resource
    Pages: X, 865 p. 314 illus., 209 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030642587
    Series Statement: Studies in Distributed Intelligence,
    DDC: 910.285
    Language: English
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  • 12
    Keywords: Geographic information systems. ; Natural disasters. ; Environmental geography. ; Physical geography. ; Cartography. ; Earth sciences. ; Geographical Information System. ; Natural Hazards. ; Integrated Geography. ; Physical Geography. ; Cartography. ; Earth Sciences.
    Description / Table of Contents: Chapter 1. Introduction to Spatial Modeling of Flood Risk and Hazard: Societal Implication -- Chapter 2. Flood Susceptibility Mapping Using Morphometric Techniques and GIS -- Chapter 3. Palaeohydrologic Estimates of Flood Discharge of Lower Ramganga River Catchment of Ganga Basin, India Using Slackwater Deposits -- Chapter 4. Flood Risk Zone Identification Using Ground Based Observation and Geospatial Technology -- Chapter 5. Dynamics River Networks and Determination of the Flood Potential in Lower Brahmaputra Valley Using Geoinfromatics -- Chapter 6. Flood Vulnerability Assessment Using AHP and Frequency Ratio Techniques -- Chapter 7. Application of Hybrid Machine Learning Algorithms for Flood Susceptibility Modelling -- Chapter 8. Flash Flood Susceptibility Mapping Using GIS Based AHP Method -- Chapter 9. GIS Based Hydrological and Hydraulic Models to Forecast River Flood Risks and Proposition of Management Measures -- Chapter 10. Large Scale Human Intervention and Estimation of Flood Susceptibility Applying Frequency Ratio Model -- Chapter 11. Flood Induced Transport Infrastructural Losses in India: Regional Assessments -- Chapter 12. Rural-Urban Differential in Flood Vulnerability and Community Preparedness for Flood Management Strategies -- Chapter 13. Application of Geospatial Techniques for Urban Flood Management: A Review.
    Abstract: Floods and flash floods with hydro-meteorological and tropical cyclones are the some of the most devastating natural disasters causing massive damages to natural and man-made features. Flood hazards are a major threat to human life, properties (agricultural area, yield production, building and homes) and infrastructures (bridges, roads, railways, urban infrastructures, etc). Flood hazards susceptibility mapping (risk assessment) and modelling is an essential step for early warning systems, emergency services, prevention and mitigation of future environmental and social hazards and implementation of risk management strategies. Due to the lack of proper information, technology-based policies and strategies, mapping and modelling can often not be implemented to the best possible level. Geo-spatial techniques have enjoyed rising interest in recent decades among the earth environmental and social sciences research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward sustainable earth and human society. By linking geo-spatial computational intelligence techniques with societal and environmental-oriented problems, this book demonstrates geospatial technology approaches to data mining techniques, data analysis, modelling, risk assessment and visualization and management strategies in different aspects of flood hazards. We believe that a diverse group of academics, scientists, geographers, hydrologist, remote sensing and GIS expertise, environmentalists, meteorologists and computing experts with a common interest in geospatial sciences within the earth environmental sciences and humanistic and social sciences will find this book to be of great value.
    Type of Medium: Online Resource
    Pages: XIX, 238 p. 120 illus., 110 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030945442
    Series Statement: GIScience and Geo-environmental Modelling,
    DDC: 910.285
    Language: English
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  • 13
    Keywords: Geographic information systems. ; Big data. ; Data mining. ; Architecture. ; Design. ; Urban ecology (Biology). ; Geographical Information System. ; Big Data. ; Data Mining and Knowledge Discovery. ; Architecture. ; Design. ; Urban Ecology.
    Description / Table of Contents: The introduction to informed urban environments -- The bigger picture en route to informed urban environments -- How we see now: Traversing a data-mosaic -- The role of information modelling and computational ontologies to support the design, planning and management of urban environments: Current status and future challenges -- Urban adaptation – Insights from information physics and complex system dynamics -- Decoding cool urban forms: Using open data to build a dialogue between microclimate and configurational morphology in urban environments -- From Amsterdam to New Amsterdam to Amsterdam: How urban mobility shapes cities -- urban microclimate spatiotemporal mapping: A method to evaluate thermal comfort availability in urban ecosystems -- Urban ecosystems and nature-based solutions: The role of data in optimizing the provision of ecosystem services -- Smart urban forestry: Is it the future?- Big data and decision support in rural and urban agriculture.
    Abstract: This book collects ground-breaking works on the actual and potential impact of big data and data-integrated design for resilient urban environments, including human- and ecology-centred perspectives. Comprehending and designing for urban social, demographic and environmental change is a complex task. Big data, data structuring, data analysis (i.e. AI and ML) and data-integrated design can play a significant role in advancing approaches to this task. The themes presented in this book include urban adaptation, urban morphology, urban mobility, urban ecosystems, urban climate, urban ecology and agriculture. Given the compound nature of complex sustainability problems, most chapters address the correlation between several of these themes. The book addresses practitioners, researchers and graduate students concerned with the rapidly increasing role of data in developing urban environments.
    Type of Medium: Online Resource
    Pages: XI, 195 p. 39 illus., 34 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783031038037
    Series Statement: The Urban Book Series,
    DDC: 910.285
    Language: English
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    Keywords: Geographic information systems. ; Medical sciences. ; Geography. ; Quantitative research. ; Geographical Information System. ; Health Sciences. ; Regional Geography. ; Data Analysis and Big Data.
    Description / Table of Contents: Chapter 1. How covid changed our daily geographies -- Chapter 2. Geography of the pandemic -- Chapter 3. Defining first- and second-order impacts through maps -- Chapter 4. Quantitative geographical approaches in COVID-19 research: A review on first- and second-order impacts -- Chapter 5. COVID-19’s impact on geospatial data: ethics and values -- Chapter 6. The City and the Pandemic - the Cities’ COVID Mitigation Mapping (C2M2) Program -- Chapter 7. Improving access to health services in Mongolia via open data during and beyond the COVID-19 pandemic -- Chapter 8. The inequities in the U.S. during the COVID-19 pandemic -- Chapter 9. The Latine community and COVID-19: nuances, experiences, and data -- Chapter 10. An overview of the impact of COVID-19 in Nepal’s international tourism industry -- Chapter 11. Data and dashboards for measuring the social impact of COVID-19 in African cities -- Chapter 12. COVID-19 and domestic violence complaints in Quito, Ecuador: temporal and spatial patterns and drivers -- Chapter 13. Mapping COVID-19: Should it be based on the incidence rate? A case study in China -- Chapter 14. Regional patterns of the pandemic: a view from Aotearoa New Zealand -- Chapter 15. Aboriginal and Torres Strait Islander peoples & the COVID-19 pandemic: a spatial and place-based analysis -- Chapter 16. Impacts of COVID-19 pandemic lockdown on the livelihoods of male commercial Boda-Boda motorists in Uganda -- Chapter 17. Geospatial techniques for mapping the spatial trajectories of COVID-19 -- Chapter 18. Digital geographies and digital surveillance technologies: power and space in the Italian society under control for public health -- Chapter 19. Resilience amid uncertainty: COVID-19 pandemic, the urban informal sector, and livelihoods in sub-Saharan Africa -- Chapter 20. Freshwater Resources and COVID-19 -- Chapter 21. Preventing pandemics: earth observations for One Health -- Chapter 22. Enabling Accelerated Research in Times of Need: The National Science Foundation’s Response to COVID-19 in 2020 -- Chapter 23. Conclusion - The consequences of COVID-19 – What’s next?.
    Abstract: This volume of case studies focuses on the geographies of COVID-19 around the world. These geographies are located in both time and space concentrating on both first- and second-order impacts of the COVID-19 pandemic. First-order impacts are those associated with the immediate response to the pandemic that include tracking number of deaths and cases, testing, access to hospitals, impacts on essential workers, searching for the origins of the virus and preventive treatments such as vaccines and contact tracing. Second-order impacts are the result of actions, practices, and policies in response to the spread of the virus, with longer-term effects on food security, access to health services, loss of livelihoods, evictions, and migration. Further, the COVID-19 pandemic will be prolonged due to the onset of variants as well as setting the stage for similar future events. This volume provides a synopsis of how geography and geospatial approaches are used to understand this event and the emerging “new normal.” The volume's approach is necessarily selective due to the global reach of the pandemic and the broad sweep of second-order impacts where important issues may be left out. However, the book is envisioned as the prelude to an extended conversation about adaptation to complex circumstances using geospatial tools. Using case studies and examples of geospatial analyses, this volume adopts a geographic lens to highlight the differences and commonalities across space and time where fundamental inequities are exposed, the governmental response is varied, and outcomes remain uncertain. This moment of global collective experience starkly reveals how inequality is ubiquitous and vulnerable populations – those unable to access basic needs – are increasing. This place-based approach identifies how geospatial analyses and resulting maps depict the pandemic as it ebbs and flows across the globe. Data-driven decision making is needed as we navigate the pandemic and determine ways to address future such events to enable local and regional governments in prioritizing limited resources to mitigate the long-term consequences of COVID-19.
    Type of Medium: Online Resource
    Pages: XXXI, 300 p. 57 illus., 51 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783031117756
    Series Statement: Global Perspectives on Health Geography,
    DDC: 910.285
    Language: English
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    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Geographic information systems. ; Physical geography. ; Control engineering. ; Robotics. ; Automation. ; Human ecology Study and teaching. ; Human geography. ; Geographical Information System. ; Physical Geography. ; Control, Robotics, Automation. ; Environmental Studies. ; Human Geography.
    Description / Table of Contents: Section 1 – sUAS Basics -- Introduction and outline for book – Konsoer, Leitner, Lewis -- Provide brief history of sUAS and the rapid technological advancements in recent years that have led to drone revolution and close range remote sensing -- Outline of book and intended uses as both a collection of specific research topics in geography and as a teaching tool -- Rules and Regulations for sUAS use in the United States (and/or globally, selected countries?) -- FAA regulations -- Essentials of proper and safe sUAS use -- sUAS Ethics and other considerations (privacy issues) -- Communicating Science with sUAS -- Section 2 – Applications in Human Geography -- Crime Geography (e.g., security, surveillance/monitoring, etc.) -- Sociocultural Geography (e.g., monitoring cultural resources) -- 3D Mapping -- Section 3 – Applications in Physical Geography -- Geomorphology -- Climatology -- Biogeography (e.g., precision agriculture, habitat monitoring, etc.) -- Section 4 – Applications in Interdisciplinary Research -- Environmental Geography (e.g., water quality, algae, land use changes) -- Mississippi River Delta Archaeological Mitigation (MRDAM) (e.g., geomorphology and archaeology – Konsoer et al) -- Disaster Science Management (e.g. search and rescue operations, damage assessment).
    Abstract: The use of small unoccupied aerial systems (sUAS) for acquiring close-range remotely sensed data has substantially increased in the past 5 years. A primary focus of early research was on physical systems and photogrammetric techniques. However, as sUAS technology continues to improve and more sophisticated payloads are utilized, such as lidar and multispectral cameras, applications have expanded to nearly all subdisciplines within Geography. This edited volume is intended to showcase the various ways in which sUAS are used in geographic research, including geomorphology, environmental and hazard monitoring, biogeography, and urban and sociocultural geography.
    Type of Medium: Online Resource
    Pages: VI, 331 p. 1 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783031019760
    Series Statement: Geotechnologies and the Environment, 24
    DDC: 910.285
    Language: English
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  • 16
    Keywords: Geographic information systems. ; Cartography. ; Geography. ; Geographical Information System. ; Cartography. ; Geography. ; Regional Geography.
    Description / Table of Contents: Assessment on the Distribution and Accessibility to Green Spaces in Mexico’s Most Populated Metropolitan Zones -- Geomatics Assessment of Water Resources in a Transboundary Basin -- Geospatial Analysis of Clandestine Graves in Baja California: New Approaches for the Search of Missing Persons in Mexico -- The Geopolitical Repercussions of the Migration Rhetoric of Donald Trump on Mexican Anti-immigrant Speech Online: A Transdisciplinary Approach -- Spatial Analysis of a Forest Socio-Ecological System in Oaxaca, Mexico Based on the DPSIR Framework -- Fourier Transform Based Methods for Unwrapping of Sentinel-1 Interferograms -- Methodology and Relevant Results About an Area-Based Conservation Indicator of Superficial Water Bodies for the Grijalva Basin -- Social Vulnerability Analysis of Three High Mountain Villages at Pico de Orizaba Volcano, Mexico, Using PCA -- Detection of Phoradendron velutinum Implementing Genetic Programming in Multispectral Aerial Images in Mexico City -- Assessment of the Reduction of the Icesnow Coverage at the TransMexican Volcanic Belt Through Empirical Mode Decomposition on Satellite Imagery -- Forest Degradation Estimation Through Trend Analysis of Annual Time Series NDVI, NDM and NDFI (2010-2020) using Landsat images -- Estimating Importation Risk of COVID-19 in Hurricane Evacuations: A Prediction Framework Applied to Hurricane Laura in Texas -- A Dynamic Social Vulnerability Index to COVID-19 in Mexico -- Effects of COVID-19 in Mexico City: Street Robbery and Vehicle Theft Spatio-Temporal Patterns.
    Abstract: This book presents a selection of manuscripts submitted to the 2nd International Conference on Geospatial Information Sciences 2021, a virtual conference held on November 3-5, 2021. These papers were selected by the Scientific Program Committee of the Conference after a rigorous peer-review process. They represent the vast scope of the interdisciplinary research areas that characterize the Geospatial Information Sciences that is done in the discipline. It especially represents a fabulous opportunity to showcase research carried out by young Mexican researchers and showcase it to the rest of the world and enhance the growth of the sciences in the country while, at the same time, enforces them to level up with other research at the international level.
    Type of Medium: Online Resource
    Pages: XIV, 205 p. 67 illus., 61 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030980962
    Series Statement: Lecture Notes in Geoinformation and Cartography,
    DDC: 910.285
    Language: English
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  • 17
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Geographic information systems. ; Cogeneration of electric power and heat. ; Fossil fuels. ; Physical geography. ; Earth sciences. ; Signal processing. ; Computer vision. ; Geographical Information System. ; Fossil Fuel. ; Physical Geography. ; Earth Sciences. ; Digital and Analog Signal Processing. ; Computer Vision.
    Description / Table of Contents: Chapter 1-Electromagnetic spectral bands used for RS in HC exploration -- Chapter 2-Foundations of multi-spectral image processing -- Chapter 3-Surface elevation and surface texture from microwave radar -- Chapter 4-Surface cover from optical and thermal IR -- Chapter 5-Geomorphology and Mapping -- Chapter 6-Near-surface characteristics from optical, thermal IR and microwave radar -- Chapter 7-Basement depth and texture from radar distance anomalies -- Chapter 8-Mapping of temporal changes -- Chapter 9-Frontier exploration -- Chapter 10-Seismic planning, acquisition and data processing -- Chapter 11-Development and oilfield infrastructure planning -- Chapter 12-Geological analogs. .
    Abstract: This book provides insights into the benefits of using remote sensing data from a geoscientist's perspective, by integrating the data with the understanding of Earth's surface and subsurface. In 3 sections, the book takes a detailed look at what data explorationists use when they explore for hydrocarbon resources, assess different terrain types for planning and hazards and extract present-day geologic analogs for subsurface geologic settings. The book presents the usage of remote sensing data in exploration in a structured way by detecting individual geologic features as building blocks for complex geologic systems. This concept enables readers to build their own workflows for the assessment of complex geologic systems using various combinations of remote sensing data. Section 1 introduces readers to the foundations of remote sensing for exploration, covers various methods of image processing and studies different digital elevation and bathymetry models. Section 2 presents the concept of geomorphology as a means to integrate surface and subsurface data. Different aspects of rendering in 2D and 3D are explained and used for the interpretation and extraction of geologic features that are used in exploration. Section 3 addresses remote sensing for hydrocarbon exploration in detail, from geophysical data acquisition to development and infrastructure planning. The organization of this chapter follows an exploration workflow from regional to local modeling studying basin and petroleum system modeling as well as logistics planning of seismic surveys and near-surface modeling. Aspects of field development and infrastructure planning comprise multi-temporal and dynamic modeling. The section closes with a structured approach to extracting geologic analogs from interpreted remote sensing data. The book will be of interest to professionals and students working in exploration for hydrocarbons and water resources, as well as geoscientists and engineers using remote sensing for infrastructure planning, hazard assessment and dynamic environmental studies.
    Type of Medium: Online Resource
    Pages: LVII, 348 p. 8 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030733193
    Series Statement: Springer Remote Sensing/Photogrammetry,
    DDC: 910.285
    Language: English
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    Keywords: Geographic information systems. ; Aerospace engineering. ; Astronautics. ; Environmental monitoring. ; Control engineering. ; Robotics. ; Automation. ; Geographical Information System. ; Aerospace Technology and Astronautics. ; Environmental Monitoring. ; Control, Robotics, Automation.
    Description / Table of Contents: Chapter 1. Unmanned Aircraft Systems and the Nordic Challenges -- Chapter 2. Applying an icing wind tunnel for drone propeller research, validation of new measurement instrument -- Chapter 3. Self-Swarming for Multi-Robot Systems Deployed for Situational Awareness -- Chapter 4. Toward Invisible Drones – An Ultra-HDR Optical Cloaking System -- Chapter 5. Long-Term Autonomy in Forest Environment using Self-Corrective SLAM -- Chapter 6. Future Possibilities and Challenges for UAV-based Imaging Development in Smart Farming -- Chapter 7. Role of Drones in Characterizing Soil Water Content in Open Field Cultivation -- Chapter 8. Ground penetrating radar mounted drones in agriculture -- Chapter 9. A minimalist approach to yield mapping of standing wheat crop with unmanned aerial vehicles -- Chapter 10. Assessment of Crop Yield Prediction Capabilities of CNN using Multisource Data.
    Abstract: This volume presents the conference proceedings from FinDrones2020. The book highlights recent developments in drone technology by experts, academicians, and entrepreneurs for applications in agriculture, forestry, and other industries. Emphasis is placed on contextualizing the conference presentations and content to Finland and the unique challenges typical to this region. The work will be of interest to academicians and professionals involved in remote sensing applications of unmanned aerial vehicles, as well as enthusiasts of drone technological developments.
    Type of Medium: Online Resource
    Pages: X, 195 p. 56 illus., 43 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030778606
    DDC: 910.285
    Language: English
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    Keywords: Geographic information systems. ; Natural disasters. ; Landscape ecology. ; Physical geography. ; Geographical Information System. ; Natural Hazards. ; Landscape Ecology. ; Physical Geography.
    Description / Table of Contents: Introduction -- Preface -- Section-I : Land Use Land Cover Dynamics -- Section-II: Agriculture water Management.-Section III: Water Resources Assessment and Modelling -- Section IV: Natural Disasters -- Conclusions and Recommendations.
    Abstract: This book focuses on the application of geospatial technologies to study the land use land cover (LULC) dynamics, agricultural water management, water resources assessment and modeling, and studies on natural disasters. LULC dynamics is one of the major research themes for studying global environmental change using remote sensing data. The section on LULC dynamics covers the multi-variate criteria for land use and land cover classification and change assessment in the mountainous regions. Further, LULC change detection of the Tons river basin and LULC dynamics at decadal frequency are studied to derive adaptation and mitigation strategies. Landscape-level forest disturbance modeling, together with conservation implications, is also included. The watershed management approach is necessary for comprehensive management of land and water resources of any region, where studies on multi-criteria analysis for rainwater harvesting planning and its impact on land use land cover transformations in rain-fed areas using geospatial technologies are presented in this book. The book will be useful for academics, water practitioners, scientists, water managers, environmentalists, and administrators, NGOs, researchers, and students who are actively involved in the application of geospatial technologies in LULC studies, agricultural water management and hydrological modelling and natural disasters for addressing the challenges being posed by climate change while addressing issues of food and water securities .
    Type of Medium: Online Resource
    Pages: VIII, 621 p. 251 illus., 213 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030904791
    Series Statement: Water Science and Technology Library, 103
    DDC: 910.285
    Language: English
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  • 20
    Keywords: Geographic information systems. ; Agriculture. ; Environment. ; Landscape ecology. ; Human ecology Study and teaching. ; Geographical Information System. ; Agriculture. ; Environmental Sciences. ; Landscape Ecology. ; Environmental Studies.
    Description / Table of Contents: Chapter 1. Agricultural Information Needs and Research Priorities for Remote Sensing in South and Southeast Asian Countries (Krishna Vadrevu, Thuy Le Toan, Shibendu Ray and Chris Justice) -- Part I: International, Regional and National Programs in Agriculture -- Chapter 2. South/Southeast Asia Research Initiative and Agricultural Research Projects (Krishna Vadrevu) -- Chapter 3. The NASA Harvest program on Agriculture and Food Security (Inbal Becker-Reshef, Varaprasad Bandaru, Brian Barker,Sylvain Coutu, Jillian M Deines, Bradley Doorn, Gary Eilerts, Belen Franch, Antonio Sanchez Galvez, Mehdi Hosseini1, Michael Humber, Greg Husak, Kaiyu Guan, Christina Justice, John Keniston, Hannah Kerner, Mary Mitkish, Kara Mobley, Blake Munshell, Catherine Nakalembe, Estefania Puricelli, Ritvik Sahajpal, Sergii Skakun, Eric Vermote, Alyssa Whitcraft, Matthew Hansen, Bill Salas, and Christopher Justice) -- Chapter 4. Asia-RiCE: Collaborative framework for Rice Crop Management in Asia (Shinichi Sobue, and Lal Samarakoon, Matthew Steventon, Kei Oyoshi, Thuy Le Toan) -- Chapter 5. Rice Growth Outlook using Satellite-Based Information in Southeast Asia (Kei Oyoshi, Shinichi Sobue, and Shoji Kimura) -- Chapter 6. RIICE – The service and its operational use (Francesco Holecz, Tri Setiyono, Massimo Barbieri, Francesco Collivignarelli, Luca Gatti, Michael Anthony, Renaud Mathieu, Emma Quicho, Aileen Maunahan, Sushree Satapathy, Deiveegan Murugesan, Ponnurangam Ganesan, Alice Laborte, Mary Rose Mabalay, Jovino de Dios, Eduardo Jimmy Quilang, Men Sothy, Pich Rothana, Vang Seng, Ngin Chhay, Chharom Chin, Phuong Do Minh, Hung Bui Vang, Vo Quoc Tuan, Tuong Chi Quang, Vo Quang Minh, Ninh Nguyen Hong, Sellaperumal Pazhanivela, Bernard Zaugg) -- Chapter 7. The Philippine Rice Information System (PRiSM): An operational monitoring and information system on rice (Mary Rose Mabalay, Jeny Raviz, Elmer Alosnos, Massimo Barbieri, Emma Quicho, Jesiree Elena Ann Bibar, Mabel Barroga, Meriam Coñado, Pristine Mabalot, Jean Rochielle Mirandilla, Arturo Arocena, Juanito Maloom, Gerald Bello, Ederlina Cariño, Gina de Mesa, Norlyn Detoito, Harvey Gonzaga, Nonilon Martin, Mitzi Philline Tejada, Mary Jane Vives, Marjie Lastimoso, Darlynne Kaye Bumagat, Henry Cayaban, Michael Barroga, Ruvicyn Bayot, Abel Melquiades Callejo, Neale Marvin Paguirigan, Mary Anne Gutierrez, Gene Christhopher Romuga, Frances Grace Amanquiton, Janica Gan, Ethel Princess Banasihan, Creigton Czar Guevarra, Arnel Rala, Hilario Yonson, Michael Malonzo, Glorie Belle Berja, Consolacion Diaz, Luis Alejandre Tamani, Ronald Gregory Roces, Sonia Asilo, Jovino de Dios, Tri Deri Setiyono, Francesco Holecz, Eduardo Jimmy Quilang, and Alice Laborte) -- Chapter 8. An Initiation of National Institute for Precision Agriculture Research Network: A case of Thailand Research Fund and Thailand Science Research and Innovation (Attachai Jintrawet, Prapaporn Khopaibool, Thongchai Suwansichon) -- Part II: Crop Mapping, Monitoring, Yield and Water Resources -- Chapter 9. Varietal Discrimination, Acreage Estimation and Yield Prediction of Basmati Aromatic Rice in North-Western India Using Satellite Data (Dharmesh Verma, A. N. Singh, Manik H. Kalubarme, G.P. Saroha, Ritesh Sharma and Brajendra) -- Chapter 10. Mapping Smallholder Yields Using Planet and Sentinel-2 Satellite Data (Meha Jain, Weiqi Zhou, Ambica Paliwal) -- Chapter 11. A Data-analytical way of estimating Rice crop Yield: Economic and Water related causative factors (Nilabja Ghosh, M. Rajeshwor, Alka Singh, Satarupa Chakravarty) -- Chapter 12. Rice Monitoring in Southeast Asia Using Earth Observation Satellite Data (Kei Oyoshi, Lal Samarakoon, Shin-chi Sobue, Sotheavy Meas, Men Sothy, Shoji Kimura, Rizatus Shofiyati, Tanita Suepa, Kanjana Koedkurang, Yootthapoom Potiracha6,, Sutinee Sihirunwong, Patiwet Chalearmpong, Panu Nuangjumnong, Damrongrit Niammuad, and Soravis Supavetch, Phung Hoang-Phi,Nguyen Lam-Dao,and Thuy Le Toan) -- Chapter 13. Crop LAI and biomass estimation from different polarization modes of simulated NISAR data (Dipankar Mandal, Vineet Kumar, Avik Bhattacharya and Y. S. Rao) -- Chapter 14. Pixel-based evaluation of rice production and related greenhouse gas emissions in the Mekong Delta integrating SAR data and ground observations (Hironori Arai, Wataru Takeuchi, Kei Oyoshi, Lam Dao Nguyen, Tamon Fumoto, Kazuyuki Inubushi and Thuy Le Toan) -- Chapter 15. The utilization of satellite data to support wet season rice production policy in Thailand: A review of practices and opportunities (Chitnucha Buddhaboon, Panu Neungchumnong, Thewin Kaeomuangmoon and Attachai Jintrawet) -- Chapter 16. Productivity, damages, and losses of rice in Cambodia: past, present and future trends in the Mekong and Tonle Sap regions (Serey Sok, Hoeurn Cheb, Nyda Chhinh and Pheakdey Nguonphan) -- Chapter 17. Rice growth stage monitoring and yield estimation in the Vietnamese Mekong Delta using multi-temporal Sentinel-1 data (Phung Hoang-Phi, Nguyen Lam-Dao, Vu Nguyen-Van-Anh, Thanh Nguyen-Kim, Thuy Le Toan, and Tien Pham-Duy) -- Chapter 18. Agricultural Drought Assessment using Remote Sensing, with special emphasis on India (S. S. Ray, Shalini Saxena, K. Choudhary, Preeti Tahlani and Krishna Vadrevu) -- Chapter 19. Role of remote sensing in assessing total water storage and evapotranspiration for croplands in the Mekong river basin (Venkataramana Sridhar, Syed Azhar Ali) -- Part III: Prediction and Modeling -- Chapter 20. Random forests for early rice yield prediction from time series of remote sensed data (Nguyen-Thanh Son, Chi-Farn Chen, Cheng-Cru Chen) -- Chapter 21. Assessment of Climate Change Impact on Rice production over South and Southeast Asia under CMIP6 climate scenarios (Tzu-Shun Lin and Atul K Jain) -- Chapter 22. Application of Geo-CropSim framework for Rainfed Sugarcane Yield Assessment in Thailand (Varaprasad Bandaru, Pallavi Cherumalli, Sergii Skakun, Kristofer Lasko, Sukunya Yampracha) -- Chapter 23. Crop yield assessment of smallholder farms using remote sensing and simulation modeling (Vinay Kumar Sehgal, Debasish Chakraborty, Rajkumar Dhakar, Joydeep Mukherjee, Rabi Narayan Sahoo) -- Part IV: Agricultural Land Cover/Land Use Changes -- Chapter 24. Agricultural intensity assessment in Punjab India using food security metrics and remote sensing data (Krishna Vadrevu, Emily Casadaban, Aditya Eaturu, Samuel Amborski and Sumalika Biswas) -- Chapter 25. Agricultural intensity assessment in Punjab India using food security metrics and remote sensing data (Bhavani P, Ripan Das, Mariam Jamilah, Vijay P.Kanawade, Chandrashekhar Biradar and P.S. Roy) -- Chapter 26. Nexus of Urbanization and Changes in Agricultural Land in Bangladesh (Mst. Ilme Faridatul, Md. Sarfaraz Gani Adnan and Ashraf Dewan) -- Chapter 27. The Kandyan Home Garden – Sustainable Agricultural Ecosystem in Sri Lanka (A.R. Gunawardena and T.T. Fernando) -- Chapter 28. Agricultural transformation, and deforestation in Shan State, Myanmar (Sumalika Biswas and Krishna Prasad Vadrevu) -- Chapter 29. Agricultural fires in South Asian Countries and Implications (Krishna Vadrevu, Emily Casadaban, Aditya Eaturu and Sumalika Biswas) -- Chapter 30. Agricultural Land-Use Trends in Vietnam 1990 – 2020 (Stephen J. Leisz, Nghiem Thi Tuyen, Ngo The An, Nong Duong, Nguyen Thi Bich Yen) -- Chapter 31. Scenario-Based Land-Cover/Land-Use Change Modeling of Future Agricultural Land Conversion in Dong Thap, Vietnam (Keelin Haynes, Jessica L. McCarty, Stanley W. Toops, Bui Thi Minh Ha, Jarrod W. Brown, Peter Potapov, Svetlana Turubanova, Quyen Nguyen, Peou Touch, and Justin J. Fain) -- Chapter 32. Extreme Development of Dragon Fruit Agriculture with Nighttime Lighting in Southern Vietnam (Shenyue Jia, Son V. Nghiem, Seung-Hee Kim, Laura Krauser, Andrea E. Gaughan, Forest R. Stevens, Menas Kafatos, and Khanh D. Ngo) -- Chapter 33. Agricultural Land Use/Cover Changes in the Vientiane, Laos (Chittana Phompila, Vongphet Sihapanya, Bakham Chanthavong, Sithong Thongmanivong, Phung Van Khoa, Keigo Noda and Krishna Prasad Vadrevu) -- Chapter 34. Color Features Based Model for Land Cover Identification and Agriculture Monitoring with Satellite Images (Shruti Gupta and Dharmendra Singh) -- Index.
    Abstract: This book sheds new light on the remote sensing of agriculture in South/Southeast Asian (S/SEA) countries. S/SEA countries are growing rapidly in terms of population, industrialization, and urbanization. One of the critical challenges in the region is food security. In S/SEA, although total food production and productivity have increased in previous decades, in recent years, the growth rate of food production has slowed down, mostly due to land use change, market forces and policy interventions. Further, the weather and climate systems in the region driven primarily by monsoon variability are resulting in droughts or flooding, impacting agricultural production. Therefore, monitoring crops, including agricultural land cover changes at regular intervals, is essential to predict and prepare for disruptions in the food supply in the S/SEA countries. The current book captures the latest research on the remote sensing of agricultural land cover/ land use changes, including mapping and monitoring crops, crop yields, biophysical parameter retrievals, multi-source data fusion for agricultural applications, and chapters on decision making and early warning systems for food security. The authors of this book are international experts in the field, and their contributions highlight the use of remote sensing and geospatial technologies for agricultural research and applications in South/Southeast Asia.
    Type of Medium: Online Resource
    Pages: XXVII, 617 p. 234 illus., 217 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030923655
    DDC: 910.285
    Language: English
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    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Geographic information systems. ; Quantitative research. ; System theory. ; Public health. ; Urban economics. ; Geographical Information System. ; Data Analysis and Big Data. ; Complex Systems. ; Public Health. ; Urban Economics.
    Description / Table of Contents: Introduction: Spatial Big Data and Urban Analytics -- Preferential Home Search in Urban Settings -- Air Quality Dynamics and Urban Heat Island effects during COVID-19 -- Mass Rapid Transit and Population Dynamics during Covid-19 in Singapore -- A Geospatial analysis of Tweets during Post-Circuit Breaker in Singapore -- Space-Time Analytics of New York City Shooting Incidents -- Spatial and Temporal patterns of Tourist Source Market Emissiveness: A Study of Shanghai, China -- Spatial Perspective of Crime Patterns in Chicago amid Covid-19 -- Geospatial analysis of Grab Trips in Singapore -- Ecological Vulnerability of Nyingchi, Tibet.
    Abstract: This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. With a connected world, we are generating spatial at unprecedented rates which can be harnessed for insightful analytics which define the way we analyze past events and define the future directions. This book is an anthology of applications of spatial data and analytics performed on them for gaining insights which can be used for problem solving in an urban setting. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data. The book shall benefit mature researchers and student alike to discourse a variety of urban applications which display the use of machine learning algorithms on spatial big data for real-world problem solving.
    Type of Medium: Online Resource
    Pages: XVIII, 187 p. 106 illus., 95 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811676499
    Series Statement: Advances in 21st Century Human Settlements,
    DDC: 910.285
    Language: English
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    Keywords: Geographic information systems. ; Environmental management. ; Climatology. ; Natural disasters. ; Database management. ; Geographical Information System. ; Environmental Management. ; Climate Sciences. ; Natural Hazards. ; Database Management.
    Description / Table of Contents: Spatio-temporal variability of channel planform dynamics in response to spatial expansion of brick kilns: a case study of the downstream course of Ichamati River, West Bengal, India -- Assessment of replenishable groundwater resource and integrated water resource planning for sustainable agriculture -- Spatial prediction of flood frequency analysis in a semi-arid zone: A case study from the Seyad basin (Guelmim Region, Morocco) -- Geospatial modeling in the assessment of environmental resources for sustainable water resource management in a Gondia district, India -- Hydrochemical characteristics of groundwater-assessment of saltwater intrusion along Krishna Godavari Delta Region, Andhra Pradesh, India -- Micro level planning for integrated natural resources management and sustainable development: an approach through a micro watershed using geospatial technology -- Ecohydrological perspective for environmental degradation of lakes and wetlands in Delhi -- Prioritization and quantitative assessment of Dhundsir Gad using RS and GIS: implications for watershed management, planning and conservation, Garhwal Himalaya, Uttarakhand -- Assessment of groundwater potential zones and resource sustainability through Geospatial Techniques: a case study of Kamina sub-watershed of Bhima River Basin, Maharashtra, India -- Morphometric analysis of Damodar River sub-watershed, Jharkhand, India, using remote sensing and GIS techniques -- The increasing inevitability of IOT in remote disaster monitoring applications -- Countering challenges of smart cities mission through participatory approach -- Urban growth modelling and prediction of land use land cover change over Nagpur city, India using Cellular automata approach -- Slum categorization for efficient development plan - a case study of Udhampur city, J&K using Remote sensing and GIS -- Urban growth trend analysis using Shannon Entropy approach – A case study of Dehradun City of Uttarakhand, India -- Geospatial approach for mapping of significant land use / land cover changes in Andhra Pradesh -- Assessing the impact of Delhi metro network towards urbanization of Delhi-NCR -- Analysis of urban heat island effect in the Rajkot city using Geospatial Techniques -- Multi spectral remote sensing for urban planning and development -- Analysis Of urban green spaces using geospatial techniques-a case study of Vijayawada urban local body Andhra Pradesh, India -- Magnetic susceptibility and heavy metals contamination in agricultural soil of Kopargaon Area, Ahmadnagar District, Maharashtra, India.
    Abstract: Geospatial technology is a combination of state-of-the-art remote sensing and technology for geographic information systems (GIS) and global navigation satellite systems (GNSS) for the mapping and monitoring of landscapes and environment. The main thrust of using geospatial technology is to understand the causes, mechanisms, and consequences of spatial heterogeneity, while its ultimate objective is to provide a scientific basis for developing and maintaining ecologically, economically, and socially sustainable landscapes. This book presents new research on the interdisciplinary applications of geospatial technology for identification, assessment, monitoring, and modelling issues related to landscape, natural resources, and environmental management. The book specifically focuses on the creation, collection, storage, processing, modelling, interpretation, display, and dissemination of spatio-temporal data, which help to resolve environmental management issues including ecosystem change, resource utilization, land use management, and environmental pollution. The positive environmental impacts of information technology advancements with regard to global environmental and climate change are also discussed. The book addresses the interests of a wide spectrum of readers who have a common interest in geospatial science, geology, water resource management, database management, planning and policy making, and resource management.
    Type of Medium: Online Resource
    Pages: XVII, 430 p. 203 illus., 193 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811673733
    Series Statement: Advances in Geographical and Environmental Sciences,
    DDC: 910.285
    Language: English
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  • 23
    Keywords: Geographic information systems. ; Database management. ; Education. ; Regional economics. ; Spatial economics. ; Application software. ; Geographical Information System. ; Database Management. ; Education. ; Regional and Spatial Economics. ; Computer and Information Systems Applications.
    Description / Table of Contents: Chapter 1. Three Scales of the Spatial University -- Chapter 2. U-Spatial: Nexus of the Spatial University -- Chapter 3. Spatial university for service and support -- Chapter 4. Spatial thinking and learning -- Chapter 5. Spatial science and research -- Chapter 6. Future of the Spatial University.
    Abstract: This volume discusses the concept of The Spatial University as part of the broad growth of spatial science and the need for spatial infrastructure in colleges and universities. The book centers on the development of U-Spatial, the spatial science infrastructure at the University of Minnesota that offers a range of spatial activities and services, including data access, training, and community building. Against a backdrop of the changing nature of research, teaching, and service in higher education, the story of U-Spatial anchors a broader discussion of what it means to be a spatial university. This narrative framing demonstrates—with specific examples—the importance of institutions offering dedicated spatial research infrastructure. In six chapters, the text explores the importance of spatial thinking, learning, and research for student and researcher success. The volume offers lessons that are applicable far beyond the University of Minnesota to apply to a broad array of domains and institutional specializations. The book will be useful to students, researchers, and policymakers concerned with how institutions can encourage spatial research, teaching, and service. It will also appeal to researchers and practitioners interested in broader uses of spatial science. This book shows how GIS can transform a university, speaking to the need for leadership in higher education around the power of bringing everything together using spatial and geographic concepts. Jack Dangermond Co-Founder and President, Esri.
    Type of Medium: Online Resource
    Pages: XIII, 118 p. 18 illus., 17 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030928476
    DDC: 910.285
    Language: English
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  • 24
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Geographic information systems. ; Cartography. ; Human geography. ; Geographical Information System. ; Cartography. ; Human Geography.
    Description / Table of Contents: - Geospatial Machine Learning in Urban Areas: Challenges and Prospects -- Exploratory Analysis and Transformation for Remotely-Sensed Imagery -- Mapping Urban Land Cover using Multi-seasonal Sentinel-2 Imagery, Spectral and Texture Indices -- Mapping Urban Land Cover using Multi-seasonal Sentinel-1 Imagery and Texture Indices -- Improving Urban Land Cover Mapping -- Land Cover Classification Accuracy Assessment -- Appendix.
    Abstract: This book introduces remotely sensed image processing for urban areas using optical and synthetic aperture radar (SAR) data and assists students, researchers, and remote sensing practitioners who are interested in land cover mapping using such data. There are many introductory and advanced books on optical and SAR remote sensing image processing, but most of them do not serve as good practical guides. However, this book is designed as a practical guide and a hands-on workbook, where users can explore data and methods to improve their land cover mapping skills for urban areas. Although there are many freely available earth observation data, the focus is on land cover mapping using Sentinel-1 C-band SAR and Sentinel-2 data. All remotely sensed image processing and classification procedures are based on open-source software applications such QGIS and R as well as cloud-based platforms such as Google Earth Engine (GEE). The book is organized into six chapters. Chapter 1 introduces geospatial machine learning, and Chapter 2 covers exploratory image analysis and transformation. Chapters 3 and 4 focus on mapping urban land cover using multi-seasonal Sentinel-2 imagery and multi-seasonal Sentinel-1 imagery, respectively. Chapter 5 discusses mapping urban land cover using multi-seasonal Sentinel-1 and Sentinel-2 imagery as well as other derived data such as spectral and texture indices. Chapter 6 concludes the book with land cover classification accuracy assessment.
    Type of Medium: Online Resource
    Pages: XI, 119 p. 103 illus., 90 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811651496
    Series Statement: Springer Geography,
    DDC: 910.285
    Language: English
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  • 25
    Keywords: Geographic information systems. ; Natural disasters. ; Geology. ; Computational intelligence. ; Geographical Information System. ; Natural Hazards. ; Geology. ; Computational Intelligence.
    Description / Table of Contents: Chapter 1 -- Introduction to Part I: Geo-physical Hazards -- Chapter 2-Determination of the Probabilities of Landslide Events -A Case Study -- Chapter 3-Geoinformatics based analysis of landslide stability - A Case Study -- Chapter 4-Land Degradation and Desertification- A Case Study. Chapter 5 -- River bank erosion mapping using GIS techniques -- Chapter 6-Geo-spatial modeling of Potential soil erosion estimation for better conservation planning -- Chapter 7-Vulnerability and Risk Assessment of the Bengal Coast, India- a GIS approach -- Chapter 8-Seismic hazard, and vulnerability of assessment for the earthquake scenario-A case study -- Chapter 9-Geo-spatial techniques for mapping, monitoring and modeling shoreline to support coastal risk management -- Chapter 10-Introduction to Part II: Hydro-meteorological Hazards -- Chapter 11-Flood susceptibility analysis based on GIS frequency ratio model -- Chapter 12-Meteorological and agriculture drought monitoring –GIS based approach -- Chapter 13-Geospatial technology and agricultural water resources management -- Chapter 14-Land-Use Suitability Modeling for Agricultural Sustainability -- Chapter 15-Recent trends in climate adaptive water resources management -- Chapter 16-GIS based Spatial analysis on flood modeling - A case study -- Chapter 17-Investigating Vulnerability of Ground Water using AHP and GIS Techniques: A Study -- Chapter 18-Flood Risk zone identification using RS & GIS Techniques -- Chapter 19-Groundwater quality delineation based on Fuzzy Comprehensive Assessment Method -- Chapter 20-Introduction to Part III: Bio-physical Hazards -- Chapter 21-Forest Fire Geo knowledge based Modeling using GIS -- Chapter 22-GI based modelling for wildland fire risk assessment -- Chapter 23-Distribution of Urban Crime Analysis Using GPS, and GIS techniques -- Chapter 24-Analysis of Poverty allocation using Geoinformatics -- Chapter 25-Risk and hazards mapping of Social-economic vulnerability Using GIS techniques.
    Abstract: The book demonstrates the geospatial technology approach to data mining techniques, data analysis, modeling, risk assessment, visualization, and management strategies in different aspects of natural and social hazards. This book has 25 chapters associated with risk assessment, mapping and management strategies of environmental hazards. It covers major topics such as Landslide Susceptibility, Arsenic Contaminated Groundwater, Earthquake Risk Management, Open Cast Mining, Soil loss, Flood Susceptibility, Forest Fire Risk, Malaria prevalence, Flood inundation, Socio-Economic Vulnerability, River Bank Erosion, and Socio-Economic Vulnerability. The content of this book will be of interest to researchers, professionals, and policymakers, whose work involves environmental hazards and related solutions.
    Type of Medium: Online Resource
    Pages: XIX, 588 p. 201 illus., 173 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030751975
    Series Statement: Advances in Geographic Information Science,
    DDC: 910.285
    Language: English
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