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Geoinformatics for Geosciences
Advanced Geospatial Analysis using RS, GIS and Soft Computing
Comprehensively covers advanced applications of Earth observation data, GIS technologies and soft computing techniques in geoinformatics
Nikolaos Stathopoulos (Edited by), Andreas Tsatsaris (Edited by), Kleomenis Kalogeropoulos (Edited by)
9780323989831, Elsevier Science
Paperback / softback, published 12 June 2023
404 pages
22.9 x 15.2 x 2.6 cm, 1 kg
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, spatial epidemiology, and public health 2. Quality of life in Athens, Greece, using geonformatics 3. A new kind of GeoInformatics built on living structure and on the organic view of space 4. Geospatial modeling of invasive Aedes vectors in Europe and the diseases they transmit: a review of best practices 5. Deposition and erosion dynamics in Axios and Aliakmonas river deltas (Greece) with the use of Google Earth Engine and geospatial analysis tools 6. Crowdsourced geospatial data in human and Earth observations: opportunities and challenges 7. Google Earth Engine and machine learning classifiers for obtaining burnt area cartography: a case study from a Mediterranean setting 8. On volunteered geographic information quality: a framework for sharing data quality information 9. Natural disaster monitoring using ICEYE SAR data 10. Oil spill detection using optical remote sensing images and machine learning approaches (case study: Persian Gulf) 11. Remote sensing and geospatial analysis 12. Mineral exploration using multispectral and hyperspectral remote sensing data 13. Geographic information systems and remote sensing for local development. Reservoirs positioning 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 15. Quantitative comparison of geostatistical analysis of interpolation techniques and semiveriogram spatial dependency parameters for soil atrazine contamination attribute 16. Comparison of “subjectivity? and “objectivity? in expert-based landslide susceptibility modeling 17. Remote sensing and geographic information system for soil analysis—vulnerability mapping and assessment 18. Multiparameter analysis of the flood of November 15, 2017 in west Attica using satellite remote sensing Conclusions Index
Subject Areas: Enterprise software [UFL], Earth sciences [RB]
