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  • 1
    Online Resource
    Online Resource
    Evaluating Participatory Mapping Software (2023)
    Cham :Springer International Publishing :
    Details
    Keywords: Geographic information systems. ; Cartography. ; Software engineering. ; Application software. ; Geographical Information System. ; Cartography. ; Software Engineering. ; Computer and Information Systems Applications.
    Description / Table of Contents: Chapter 1: Introduction to Participatory Mapping Software and Evaluation -- Chapter 2: Collector for ArcGIS -- Chapter 3: Field Papers -- Chapter 4: GeoODK -- Chapter 5: Maptionnaire -- Chapter 6: KoBoToolbox -- Chapter 7: SeaSketch -- Chapter 8: Sapelli -- Chapter 9: Survey123 -- Chapter 10: Ushahidi -- Chapter 11: Mapeo -- Chapter 12: Terrastories -- Chapter 13: Portable OpenStreetMap -- Chapter 14: MapBox -- Chapter 15: Trends and Conclusions.
    Abstract: This volume provides a framework for evaluating geospatial software for participatory mapping. The evaluation is based on ten key indicators: ethics, cost, technical level, inclusiveness, data accuracy, data privacy, analytical capacity, visualization capacity, openness, and accessibility (i.e., mobile friendly or offline capabilities). Each application is evaluated by a user and cross analyzed with specific case studies of the software’s real-world application. This framework does not discriminate against assessing volunteered geographic information (VGI) applications, as a form of participatory mapping, in circumstances that its application is spearheaded by underrepresented groups with the intent to empower and spark political or behavioral change within formal and informal institutions. Each chapter follows a strict template to ensure that the information within the volume can be updated periodically to match the ever-changing technological environment. The book covers twelve different mapping applications with the goal of creating a comparative evaluation framework that can be easily interpreted by convening institutions and novice users. This will also help identify gaps in software for participatory mapping which will help to inform application development in the future and updates to current geospatial software.
    Type of Medium: Online Resource
    Pages: XXV, 265 p. 69 illus., 64 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031195945
    URL: https://doi.org/10.1007/978-3-031-19594-5
    DOI: 10.1007/978-3-031-19594-5
    DDC: 910.285
    Language: English
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  • 2
    Online Resource
    Online Resource
    Land Use Cover Datasets and Validation Tools : Validation Practices with QGIS (2022)
    Cham :Springer International Publishing :
    Details
    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
    URL: https://doi.org/10.1007/978-3-030-90998-7
    DOI: 10.1007/978-3-030-90998-7
    DDC: 910.285
    Language: English
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  • 3
    Online Resource
    Online Resource
    Spatial Modelling of Flood Risk and Flood Hazards : Societal Implications (2022)
    Cham :Springer International Publishing :
    Details
    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,
    URL: https://doi.org/10.1007/978-3-030-94544-2
    DOI: 10.1007/978-3-030-94544-2
    DDC: 910.285
    Language: English
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  • 4
    Online Resource
    Online Resource
    Dynamic and Precise Engineering Surveying (2023)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Surveying. ; Cartography. ; Geotechnical engineering. ; Geographical Information System. ; Surveying. ; Cartography. ; Geotechnical Engineering and Applied Earth Sciences.
    Description / Table of Contents: Introduction -- Structural state surveying for transportation infrastructure -- Dynamic surveying in autonomous driving -- Indoor and underground space measurement -- UAV 3D measurement -- Coastal zone survey -- Outlook. .
    Abstract: Driven by the increasingly expanding needs of infrastructure construction, operation and maintenance, as well as the rapid developments of intelligent sensing and information technology, precise engineering surveying has been transformed from static, discrete, and manual into dynamic, continuous, and intelligent ways. This transformation leads to an advanced multidisciplinary field, dynamic and precise engineering surveying, on which the author has worked for over two decades. This book systematically summarizes the fundamentals, methods, and applications in dynamic and precise engineering surveying. The contents mainly include two parts: the first part introduces principles and methods of dynamic and precise engineering surveying; the second part presents representative applications in which innovative methods and advanced equipment are applied in the construction, operation and maintenance of mega and complex infrastructures. Readers engaged in surveying and mapping, civil engineering, water conservancy engineering, railway engineering, electronic information, and computer science, including undergraduates, graduates, researchers and engineers, will find it an informative reference.
    Type of Medium: Online Resource
    Pages: XXVIII, 498 p. 394 illus., 352 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819959426
    URL: https://doi.org/10.1007/978-981-99-5942-6
    DOI: 10.1007/978-981-99-5942-6
    DDC: 910.285
    Language: English
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  • 5
    Online Resource
    Online Resource
    Advances in Geospatial Data Science : Selected Papers from the International Conference on Geospatial Information Sciences 2021 (2022)
    Cham :Springer International Publishing :
    Details
    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,
    URL: https://doi.org/10.1007/978-3-030-98096-2
    DOI: 10.1007/978-3-030-98096-2
    DDC: 910.285
    Language: English
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  • 6
    Online Resource
    Online Resource
    Optical and SAR Remote Sensing of Urban Areas : A Practical Guide (2022)
    Singapore :Springer Nature Singapore :
    Details
    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,
    URL: https://doi.org/10.1007/978-981-16-5149-6
    DOI: 10.1007/978-981-16-5149-6
    DDC: 910.285
    Language: English
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  • 7
    Online Resource
    Online Resource
    Advanced Remote Sensing for Urban and Landscape Ecology (2023)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Cartography. ; Urban ecology (Biology). ; Human geography. ; Geographical Information System. ; Cartography. ; Urban Ecology. ; Human Geography.
    Description / Table of Contents: Data And Urban Poverty: Detecting And Characterising Slums And Deprived Urban Areas In Low-And Middle-Income Countries -- Investigation Of Ecological Sustainability Through The Landscape Approach Of Geospatial Technology: Study From New Town Project In Eastern India -- Advanced Remote Sensing For Sustainable Decent Housing For The Economically Challenged Urban Households -- Impact Of Uncontrolled Tourism Development On Landscape Ecology Of Purba Medinipur Coastal Region, West Bengal: A 4-C Framework And Swoc Analysis -- Impact Of Urban Heat Island: A Local-Level Urban Climate Phenomenon On Urban Ecology And Human Health -- Identification Of Environmental Epidemiology Through Advanced Remote Sensing Based On Ndvi -- Assessment Of Land Utilization Pattern And Their Relationship With Surface Temperature And Vegetation In Sikkim, India -- Monitoring Land Use And Land Cover Change Over Bhiwani District Using Google Earth Engine -- Image And Perception Of Royal Heritage And Eco-Space Of The Medium Towns In India: Reflection From Burdwan Royal Heritage Site -- Governance And Floodplain Extent Changes Of Yamuna River Floodplain In Megacity Delhi -- Assessing Urban Compactness Using Machine Learning And Earth Observation Datasets: A Case Study Of Kolkata City -- Analysis Of Ecological Vulnerability Behind The Land Conversion From Agriculture To Aquaculture Of Purba Medinipur District In West Bengal, India -- Environmental Change Analysis Using Remote Sensing And Gis: A Study Of Upper Baitarani Basin, Odisha -- Mapping Urban Footprint Using Machine Learning And Public Domain Datasets.
    Abstract: This book introduces the use of various remote sensing data such as microwave, hyperspectral and very high-resolution (VHR) satellite imagery; mapping techniques including pixel and object-based machine learning; and geostatistical modelling techniques including cellular automation, entropy and land fragmentation. Remote sensing plays a vital role in solving urban and environmental challenges at the landscape level. Globally, more than half of the urban population is facing severe environmental and social challenges, especially those relating to climate change, agricultural land encroachment, green infrastructure and environmental degradation, mobility due to rapid rural–urban transformation and anthropogenic interventions. Mapping and quantification of such threats at the landscape level are challenging for experts using traditional techniques; however, remote sensing technology provides diverse spatial data at a varying scale, volume and accessibility for mapping and modelling, and it also analyses challenges at urban and landscape levels. Together, they address challenges at urban and landscape levels to support the Sustainable Development Goals (SDGs).
    Type of Medium: Online Resource
    Pages: XIII, 317 p. 153 illus., 129 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819930067
    Series Statement: Advances in Geographical and Environmental Sciences,
    URL: https://doi.org/10.1007/978-981-99-3006-7
    DOI: 10.1007/978-981-99-3006-7
    DDC: 910.285
    Language: English
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