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

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Yes, you can access Geoinformatics for Geosciences by Nikolaos Stathopoulos,Andreas Tsatsaris,Kleomenis Kalogeropoulos in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geology & Earth Sciences. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Elsevier

Year

2023

ISBN

9780323957823

Topic

Physical Sciences

Subtopic

Geology & Earth Sciences

Cover image
Title page
Table of Contents
Copyright
List of contributors
About the editors
Introduction
Section 1: Geospatial human environment
Section 2: Geospatial platforms and crowdsourced geospatial data
Section 3: GIS & Remote sensing applications
Section 4: Geospatial modeling and analysis
Conclusions
Index