Geoinformatics for Geosciences: Advanced Geospatial Analysis using RS, GIS and Soft Computing

Geoinformatics for Geosciences: Advanced Geospatial Analysis using RS, GIS and Soft Computing is a comprehensive guide to methodologies and techniques that can be used in Earth observation data assessment, geospatial analysis and soft computing in 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. The book is organized over four sections: environmental and climate issues; analysis of geomorphological data, along with hazard and disaster impacts; natural and human resources, and the influence of environmental conditions on these such as geohazards, climate change, geomorphological changes, etc.; and socioeconomic challenges resulting from issues covered in the previous sections. Detailing up-to-date techniques in geoinformatics, Geoinformatics for Geosciences 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 geosciences. Focuses on a variety of interdisciplinary applications using Earth observation data, GIS and soft computing techniques to address various challenges in geosciences Presents both innovative techniques and specific features of the practices described, allowing readers to choose the most appropriate method to apply to their specific problems Comprehensively details the state-of-the-art methodologies and decision-making tools included to ensure they are easily reproduceable INDICE: Section 1: Introduction 1. Introduction Section 2: Environment and climate 2. Algorithmic, microwave radiometry from space and artificial neural network approaches on oceanic fronts. 3. Agrometeorology trend analysis & vegetation mapping based on Satellite Image Processing in Precision Agriculture. 4. Microwave precipitation modeling coupled with RS and GIS hydrological modeling techniques. 5. Landscape and ecosystem Hyperspectral Imaging, Remote Sensing and GIS in quantifying spatio-temporal landscape pattern dynamics and ecosystem health modeling. 6. Risk monitoring in archeological sites through satellite time-series analysis and remote sensing. 7. The implementation of Real-time embedded architecture FPGA (Field-Programmable Gate Array)/FPAA (Field Programming Analogue Array) and Neuromorphic computing (NC) along with Machine Learning (ML) for imagery classification Section 3: Geomorphology and hazards 8. Coastal geomorphological trend analysis and mapping based on spatial indices derived from EO data processing 9. Geospatial analysis of flooding phenomena through application development and geospatial enablement of Earth observation information 10. Applied analysis of landslide susceptibility assessment via the exploitation of EO data, Geoinformatics and AI 11. Change Detection analysis of soil cover, soil erosion vulnerability mapping and soil sealing impact estimation in urban areas 12. Synthetic aperture radar interferometry and very high spatial resolution remotely sensing data for natural disaster assessment, mitigation and monitoring Section 4: Resources 13. Identification and spatial analysis of suitable sites for optimum coal mining, by exploiting spatial regression techniques, GIS and RS data 14. Spatial mapping, through RS, GIS and Spectroscopic Analytical Methods, of mineral deposits, qualitative and quantitative analysis of minerals for optimum exploitation 15. Hydrodynamic numerical modelling at catchment scale, water resources management planning, groundwater vulnerability and risk assessment, wetland hydrology and remote sensing for environmental applications 16. Land resources assessment and evaluation, soil suitability analysis, availability indicators and identification of possible pollution sources through RS and GIS modeling 17. Approaches to solar energy and other renewable energy source exploitation and management using image processing, signal processing, remote sensing Section 5: Health and Socioeconomic Life 18. Applications of health informatics for predictive analysis of diseases and outbreaks based on geoinformatics technologies 19. Mapping and analysis via RS and GIS approaches on social transformation of rural areas 20. Applications of medical geography focusing on spatial and environmental epidemiology 21. Economic geography and Regional economy approaches through methods of spatial economic analysis 22. Map-Centered cases of Geoinformatics within Education Section 6: Final chapter 23. Conclusion.

• ISBN: 978-0-323-98983-1
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 400
• Fecha Publicación: 01/06/2023
• Nº Volúmenes: 1
• Idioma: Inglés