Geoinformatics for Geosciences: Advanced Geospatial Analysis using RS, GIS and Soft Computing is a comprehensive guide to the methodologies and techniques that can be used in Earth observation data assessments, geospatial analysis, and soft computing in the geosciences. The book covers a variety of spatiotemporal problems and topics in the areas of the environment, geohazards, urban analysis, health, pollution, climate change, resources and geomorphology, among others. Sections cover environmental and climate issues, analysis of geomorphological data, hazard and disaster impacts, natural and human resources, the influence of environmental conditions, geohazards, climate change, geomorphological changes, etc., and socioeconomic challenges.
Detailing up-to-date techniques in geoinformatics, this book offers in-depth, up-to-date methodologies for researchers and academics to understand how contemporary data can be combined with innovative techniques and tools in order to address challenges in the geosciences.
1. Geoinformatics for Geosciences - p. ii 2. Cover - p. ii 3. Title page - p. ii 4. Copyright - p. iv 5. Table of Contents - p. iv 6. List of contributors - p. xv 7. About the editors - p. xix 8. Chapter 1 Geoinformatics, spatial epidemiology, and public health - p. 3 9. Chapter 2 Quality of life in Athens, Greece, using geonformatics - p. 31 10. Chapter 3 A new kind of GeoInformatics built on living structure and on the organic view of space - p. 45 11. Chapter 4 Geospatial modeling of invasive Aedes vectors in Europe and the diseases they transmit: a review of best practices - p. 63 12. Chapter 5 Deposition and erosion dynamics in Axios and Aliakmonas river deltas (Greece) with the use of Google Earth Engine and geospatial analysis tools - p. 91 13. Chapter 6 Crowdsourced geospatial data in human and Earth observations: opportunities and challenges - p. 109 14. Chapter 7 Google Earth Engine and machine learning classifiers for obtaining burnt area cartography: a case study from a Mediterranean setting - p. 131 15. Chapter 8 On volunteered geographic information quality: a framework for sharing data quality information - p. 149 16. Chapter 9 Natural disaster monitoring using ICEYE SAR data - p. 163 17. Chapter 10 Oil spill detection using optical remote sensing images and machine learning approaches (case study: Persian Gulf) - p. 171 18. Chapter 11 Remote sensing and geospatial analysis - p. 185 19. Chapter 12 Mineral exploration using multispectral and hyperspectral remote sensing data - p. 197 20. Chapter 13 Geographic information systems and remote sensing for local development. Reservoirs positioning - p. 223 21. Chapter 14 An integrated approach for a flood impact assessment on land uses/cover based on synthetic aperture radar images and spatial analytics. The case of an extreme event in Sperchios River Basin, Greece - p. 247 22. Chapter 15 Quantitative comparison of geostatistical analysis of interpolation techniques and semiveriogram spatial dependency parameters for soil atrazine contamination attribute - p. 261 23. Chapter 16 Comparison of “subjectivity” and “objectivity” in expert-based landslide susceptibility modeling - p. 281 24. Chapter 17 Remote sensing and geographic information system for soil analysis—vulnerability mapping and assessment - p. 309 25. Chapter 18 Multiparameter analysis of the flood of November 15, 2017 in west Attica using satellite remote sensing - p. 325 26. Conclusions - p. 359 27. Index - p. 361 28. Index - Continued - p. 375
Geoinformatics for Geosciences: Advanced Geospatial Analysis using RS, GIS and Soft Computing is a comprehensive guide to the methodologies and techniques that can be used in Earth observation data assessments, geospatial analysis, and soft computing in the geosciences. The book covers a variety of spatiotemporal problems and topics in the areas of the environment, geohazards, urban analysis, health, pollution, climate change, resources and geomorphology, among others. Sections cover environmental and climate issues, analysis of geomorphological data, hazard and disaster impacts, natural and human resources, the influence of environmental conditions, geohazards, climate change, geomorphological changes, etc., and socioeconomic challenges.
Detailing up-to-date techniques in geoinformatics, this book offers in-depth, up-to-date methodologies for researchers and academics to understand how contemporary data can be combined with innovative techniques and tools in order to address challenges in the geosciences.
1. Geoinformatics for Geosciences - p. ii 2. Cover - p. ii 3. Title page - p. ii 4. Copyright - p. iv 5. Table of Contents - p. iv 6. List of contributors - p. xv 7. About the editors - p. xix 8. Chapter 1 Geoinformatics, spatial epidemiology, and public health - p. 3 9. Chapter 2 Quality of life in Athens, Greece, using geonformatics - p. 31 10. Chapter 3 A new kind of GeoInformatics built on living structure and on the organic view of space - p. 45 11. Chapter 4 Geospatial modeling of invasive Aedes vectors in Europe and the diseases they transmit: a review of best practices - p. 63 12. Chapter 5 Deposition and erosion dynamics in Axios and Aliakmonas river deltas (Greece) with the use of Google Earth Engine and geospatial analysis tools - p. 91 13. Chapter 6 Crowdsourced geospatial data in human and Earth observations: opportunities and challenges - p. 109 14. Chapter 7 Google Earth Engine and machine learning classifiers for obtaining burnt area cartography: a case study from a Mediterranean setting - p. 131 15. Chapter 8 On volunteered geographic information quality: a framework for sharing data quality information - p. 149 16. Chapter 9 Natural disaster monitoring using ICEYE SAR data - p. 163 17. Chapter 10 Oil spill detection using optical remote sensing images and machine learning approaches (case study: Persian Gulf) - p. 171 18. Chapter 11 Remote sensing and geospatial analysis - p. 185 19. Chapter 12 Mineral exploration using multispectral and hyperspectral remote sensing data - p. 197 20. Chapter 13 Geographic information systems and remote sensing for local development. Reservoirs positioning - p. 223 21. Chapter 14 An integrated approach for a flood impact assessment on land uses/cover based on synthetic aperture radar images and spatial analytics. The case of an extreme event in Sperchios River Basin, Greece - p. 247 22. Chapter 15 Quantitative comparison of geostatistical analysis of interpolation techniques and semiveriogram spatial dependency parameters for soil atrazine contamination attribute - p. 261 23. Chapter 16 Comparison of “subjectivity” and “objectivity” in expert-based landslide susceptibility modeling - p. 281 24. Chapter 17 Remote sensing and geographic information system for soil analysis—vulnerability mapping and assessment - p. 309 25. Chapter 18 Multiparameter analysis of the flood of November 15, 2017 in west Attica using satellite remote sensing - p. 325 26. Conclusions - p. 359 27. Index - p. 361 28. Index - Continued - p. 375
