Geoinformatics for Geosciences
Autor: | Nikolaos Stathopoulos, Andreas Tsatsaris, Kleomenis Kalogeropoulos |
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EAN: | 9780323957823 |
eBook Format: | ePUB/PDF |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 26.05.2023 |
Untertitel: | Advanced Geospatial Analysis using RS, GIS and Soft Computing |
Kategorie: | |
Schlagworte: | AHP Adaptation Adequate technology Bivariate statistics Burnt area mapping Climate change Copernicus emergency mapping service Crisis management Differentiation Disaster resilience Experts Flood GIS Geostatistical analysis Google Earth |
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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. - Focuses on a variety of interdisciplinary applications using Earth observation data, GIS, and soft computing techniques to address various challenges in the geosciences - Presents both innovative techniques and specific features of the practices described, thus 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