Advanced Tools for Studying Soil Erosion Processes. Erosion Modelling, Soil Redistribution Rates, Advanced Analysis, and Artificial Intelligence

Table of Contents

Part-I Erosional processes and impacts 1. The form of water erosion (includes sheet, rill, and gully erosion) together with their interaction 2. Global soil erosion, restoration, desertification, and land degradation under changing environmental conditions 3. A world with and without soil erosion: the past, present, and precarious future of surface and subsurface erosion 4. The importance of both quantity and quality of soil data for use of the different approaches 5. Restoration of soil affected by non-sustainable soil erosion rates 6. Where subsurface and surface runoff occur in the landscape and cause soil erosion? 7. A combination of experts of many fields (including social scientists) to prevent erosional hazards 8. The impact of geomorphological hazards (i.e., mass movement/landslides) on soil erosion 9. The impact of hydrological hazards (i.e., floods) on soil erosion 10. The impact of climate hazards (i.e., climate changes and global warming) on soil erosion 11. Pictures or videos of erosion features and links to open access tools/models Part-II Advanced/computing techniques to quantify soil erosion 1. Artificial intelligence including Machine learning and Deep learning algorithms 2. Google earth engine platform 3. Remote sensing and satellite imageries 4. Aerial robotics including unmanned aerial vehicles (UAVs) 5. Web-GIS 6. Land-based sensors7. Geophysics tools (i.e., GPR, ERT) 8. Internet of things (IoT), and analyzing big data (BD) 9. Open-source software tools 10. Tracing or radio-isotopic techniques (e.g., cesium-137) used to reconstruct soil redistribution rates Part-III Methods of soil analysis 1. Soil erosion modelling, mapping, and its spatial-temporal variability 2. Susceptibility, hazards, and risks of soil erosion 3. Opportunities and challenges for future of soil erosion 4. The strengths and weakness of applying advanced technologies in soil erosion research 5. Geophysical detection of surface and under surface soil erosion 6. Distributed soil modeling and digital soil mapping-DSM 7. Evolution in erosional landforms and their importance (past-present-future) 8. Spatio-temporal conceptual models of soil erosion 9. The importance of input data and their accuracy in soil erosion assessment 10. Early warning systems for monitoring and managing soil erosion

Appendix Index Abbreviations

Authors

Hamid Reza Pourghasemi Professor, Department of Natural Resources and Environment Engineering, College of Agriculture, Shiraz University, Shiraz, Iran. Hamid Reza Pourghasemi is a professor of watershed management engineering in the College of Agriculture, Shiraz University, in Iran. His main research interests are GIS-based spatial modelling using machine learning/data mining techniques in different fields such as landslides, floods, gully erosion, forest fires, land subsidence, species distribution modelling, and groundwater/hydrology. Professor Pourghasemi also works on multi-criteria decision-making methods in natural resources and environmental science. He has published over 230 peer-reviewed papers in high-quality journals and seven edited books for Springer and Elsevier and is an active reviewer for over 90 international journals. He was selected as one of the five young scientists under 40 by The World Academy of Science (TWAS 2019) and was a highly cited researcher in 2019 and 2020 Narges Kariminejad PhD Researcher, Department of Natural Resources and Environment Engineering, College of Agriculture, Shiraz University, Shiraz, Iran. Narges Kariminejad is a geomorphologist with about 10 years of work experience in field and laboratory-based soil erosion research in arid and semi-arid environments. She is also currently a researcher at the Department of Natural Resources and Environment Engineering in the College of Agriculture at Shiraz University, in Iran. Her research interests are in soil erosion, especially in rill, soil piping, and gully erosion. She has served as a guest scientist or visiting researcher at various research institutes and universities in different countries all over the world. Dr. Kariminejad has been a guest lecturer in difference courses, including quantitative geomorphology, spatial analysis and satellite imagery, plant ecology, and geostatistics. She has published more than 20 papers in international scientific journals.