Overview
- Applies physically-based models to simulate dynamic water erosion processes and their interactions
- Provides remote sensing and geostatistical tools to quantify spatial variation in soil health and erosion consequences
- Uses machine learning, expert systems and SDSSs to improve soil conservation and provision of ecosystem services
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Table of contents (9 chapters)
Keywords
About this book
Degradation of agricultural catchments due to water erosion is a major environmental threat at the global scale, with long-lasting destructive consequences valued at tens of billions of dollars per annum. Eroded soils lead to reduced crop yields and deprived agroecosystem’s functioning through, for example, decreased water holding capacity, poor aeration, scarce microbial activity, and loose soil structure. This can result in reduced carbon sequestration, limited nutrient cycling, contamination of water bodies due to eutrophication, low protection from floods and poor attention restoration—consequences that go far beyond the commonly modelled soil loss and deposition budgets.
This book demonstrates, using data from the Harod catchment in northern Israel, how cutting-edge geoinformatics, data science methodologies and soil health indicators can be used to measure, predict, and regulate these major environmental hazards. It shows how these approaches are used to quantify—in timeand space—the effect of water erosion not only on the soil layer, soil minerals, and soil loss, but also on the wide-range of services that agricultural ecosystems might supply for the benefit and well-being of humans. The algorithms described in this book play a major role in this paradigm shift and they include, for example, extraction of photogrammetric DEMs from drone's data, advanced drainage structure calculations, fuzzy process-based modelling and spatial topographic threshold computations, multicriteria analyses and expert-based systems development using analytic hierarchal processes, innovative data-mining and machine learning tools, autocorrelation and interpolation of soil health, physically-based soil evolution models, spatial decision support systems and many more.Authors and Affiliations
About the author
Tal Svoray is a full professor, the Harry Levy Chair in Geography, and an outgoing Chair of the Geography and Environmental Development Department at Ben-Gurion University of the Negev located in the centre of Israel. Svoray has served as a visiting professor at Cornell University, the French Space Agency (CNES), and the University of Victoria and has published in the international literature over 75 research papers on soil degradation and soil erosion, desertification, ecohydrology, and ecosystem functioning and health. He is the head of the Geographic Information Laboratory and a member of the editorial board of the International Journals: Remote Sensing, PeerJ, and Geomatics.
Bibliographic Information
Book Title: A Geoinformatics Approach to Water Erosion
Book Subtitle: Soil Loss and Beyond
Authors: Tal Svoray
DOI: https://doi.org/10.1007/978-3-030-91536-0
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-91535-3Published: 18 February 2022
Softcover ISBN: 978-3-030-91538-4Published: 19 February 2023
eBook ISBN: 978-3-030-91536-0Published: 17 February 2022
Edition Number: 1
Number of Pages: XXII, 349
Number of Illustrations: 86 b/w illustrations, 73 illustrations in colour
Topics: Soil Science & Conservation, Geographical Information Systems/Cartography, Hydrogeology, Geomorphology