Advanced Tools for Studying Soil Erosion Processes

Erosion Modelling, Soil Redistribution Rates, Advanced Analysis, and Artificial Intelligence

1st Edition - August 17, 2024
Imprint: Elsevier
Editors: Hamid Reza Pourghasemi, Narges Kariminejad
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 2 2 2 6 2 - 7
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 2 2 2 6 3 - 4

Advanced Tools for Studying Soil Erosion Processes: Erosion Modelling, Soil Redistribution Rates, Advanced Analysis, and Artificial Intelligence presents the most recent techno… Read more

Purchase options

World Book Day Celebration!

Save up to 30% on books and eBooks!

Shop now

Institutional subscription on ScienceDirect

Request a sales quote

Advanced Tools for Studying Soil Erosion Processes: Erosion Modelling, Soil Redistribution Rates, Advanced Analysis, and Artificial Intelligence presents the most recent technologies and methods in quantifying soil erosion, focusing on quantitative geomorphological assessment, soil erosion interaction with natural and man-made hazards using new methods, and technologies that employ GIS, remote sensing (RS), spatial modeling, and machine learning tools as an effective plan for decision-makers and land users.

Organized into three parts: 1) Erosion processes and impacts, 2) Advanced computing techniques to quantify soil erosion, and 3) Methods of Soil Erosion, this book will be an invaluable source material for researchers, academicians, graduate and undergraduate students, and professionals in the field of geology, specifically focused on geographic information systems and remote sensing.

Cover image
Title page
Table of Contents
Copyright
Dedication
Contributors
Preface
Acknowledgments
Part I. Erosional processes and impacts
Chapter 1. Mapping land subsidence using time-series analysis of Sentinel-1 InSAR in various land use areas
1. Introduction
2. Material and methods
3. Result and discussion
4. Conclusion
Chapter 2. Use of hydrological models in erosion and sediment studies: a review
1. Introduction
2. Materials and methods
3. Results
4. Discussion
5. Conclusion
Chapter 3. Comprehensive introduction to Digital Elevation Models, as a key dataset in soil erosion mapping
1. Introduction
2. A survey of techniques for generating DEMs
3. A case study of GDEMs evaluation using spaceborne LiDAR
4. Conclusion
Chapter 4. Soil pipe pattern dynamics and illustration of the erosional landforms from a geomorphological perspective
1. Introduction
2. Study area
3. Materials and methods
4. Results
5. Discussion
6. Conclusion
Chapter 5. Extraction of water bodies using machine learning and water body indices in an arid region, comparison, and application: A case study Naser Lake Egypt
1. Introduction
2. The study area
3. Material and methodology
4. Results
5. Discussion
6. Conclusion
Chapter 6. Leveraging remote sensing data and machine learning models to estimate suspended sediment concentration (SSC), a vital water quality parameter to assess soil erosion effects
1. Introduction
2. Study area and datasets
3. Methodology
4. Results
5. Discussion
6. Conclusion
Appendix
Chapter 7. The messianic breath of cyanobacteria: Revival role of microbial biological crust on restoring degraded soils
1. Introduction
2. Application of cyanobacteria in soil
3. Application of EPS production in soil restoration
4. Bioremediation of contaminated soil by cyanobacteria and microalgae
5. Cyanobacteria in reclamation of sodic and saline-affected soils
6. Cyanobacteria promote establishment, germination, and plant growth
7. Conclusion
Chapter 8. Analyzing the homogeneity of the paired catchments using the fractal dimension of the drainage network and catchment shape
1. Introduction
2. Study area
3. Methods
4. Cluster analysis
5. Canonical correlation analysis
6. Fractal dimension
7. Result and discussion
8. Conclusion
Chapter 9. Fractal analysis of drainage network and its relationship with flooding potential in arid areas
1. Introduction
2. Study area
3. Materials and methods
4. Results and discussion
5. Conclusion
Chapter 10. Climate change and soil erosion dynamics: An overview
1. The impact of climate and climate change on soil erosion
2. Direct and indirect physical effects
3. The modeling chain of climate change impacts
4. Review of results at the local, regional, and global level
Chapter 11. Assessment and mapping of rangeland ecosystem services in soil conservation
1. Introduction
2. Materiel and method
3. Results
4. Discussion
5. Conclusion
Part II. Advanced computing techniques to quantify soil erosion
Chapter 12. Event-based soil erosion estimation in a tropical watershed using OpenLISEM
1. Introduction
2. Materials and methods
3. Results and discussion
4. Conclusion
Chapter 13. A scenario-based approach for modeling and monitoring the impacts of climate change on forest fire using MODIS time series images
1. Introduction
2. Location of study area
3. Materials and methodology
4. Results
5. Discussion
6. Conclusion
Chapter 14. Soil erosion analysis based on UAV and SPOT-6 satellite images
1. Introduction
2. Research method
3. Results
4. Discussion
5. Conclusion
Chapter 15. Gully erosion susceptibility assessment using machine learning methods and geostatistical multivariate approach
1. Introduction
2. Material and methods
3. Results and discussion
4. Conclusion
Chapter 16. Land subsidence modeling and mapping in Darab region, Iran
1. Introduction
2. Material and methods
3. Results and discussion
4. Conclusion
Chapter 17. Review of multihazards research with the basis of soil erosion
1. Review of multihazards research with the basis of soil erosion
2. Overview of soil erosion as a basis for multihazards research including factors leading to soil erosion, human activities, and so on
3. Methodologies used in multihazards research related to soil erosion including remote sensing, numerical modeling, and data collection and analysis
4. Case studies of multihazards research with a focus on soil erosion
5. Implications for policy development toward soil erosion management
6. Gaps in current research and future directions
7. Conclusion
Chapter 18. Prediction of soil erosion using machine learning
1. Introduction
2. Materials and methods
3. Results and discussion
4. Conclusion
Chapter 19. Artificial Intelligence including Machine Learning and Deep Learning algorithms
1. Introduction
2. Methodology
3. Deep learning techniques in soil erosion analysis and convolutional neural networks for image analysis
4. Conclusion
Chapter 20. The influence of weathering on piping erosion processes on large dimension pipes
1. Introduction
2. Study area
3. Methodology
4. Results
5. Discussion
6. Conclusions
Chapter 21. Quantile random forest technique for soil moisture contents digital mapping, Sarvestan Plain, Iran
1. Introduction
2. Materials and methods
3. Results and discussion
4. Conclusions
Chapter 22. Modeling spatial variability of soil loss tolerance (T-value) using geostatistical approaches (case study: Dorudzan Watershed, Fars Province, Iran)
1. Introduction
2. Methodology
3. Results and discussion
4. Conclusion
Part III. Methods of soil analysis
Chapter 23. Potential of spectroscopy-based approaches for predicting soil erosion-related parameters: A short review
1. Introduction
2. Methodology
3. Results
4. Discussion
5. Conclusion
Chapter 24. Spatiotemporal variations in land use of Mahvelat plain in Iran using Google Earth Engine from 2011 to 2030
1. Introduction
2. Materials and methods
3. Result and discussion
4. Conclusion
Chapter 25. Detecting soil salinization, sodicity, and alkalization hazards within cultivated lands using digital soil mapping approaches
1. Introduction
2. Materials and methods
3. Results and discussion
4. Conclusions
Authors contributions
Declaration of competing interest
Chapter 26. The impact of geomorphological hazards (i.e., mass movements/landslides) on soil erosion
1. Introduction
2. Landslides characteristics
3. The influence of landslides on the occurrence of soil erosion
4. Examples of landslide events and their impacts
5. Conclusion
Chapter 27. Involvement of soil erosion processes in the development of landslides in the locality of Echiock (West Cameroon)
1. Introduction
2. Materials and methods
3. Results
4. Discussion
5. Conclusion
Chapter 28. Digital mapping of soil pH in arid and semi-arid regions
1. Introduction
2. Material and method
3. Result and discussion
4. Conclusion
Chapter 29. Unraveling the spatial signature of gully erosion in the arid and semi-arid regions of the northeast of Iran: Every single factor matters!
1. Introduction
2. Materials and methods
3. Result and discussion
4. Conclusion
Declarations
Availability of data and materials
Chapter 30. Soil erosion monitoring using the perpendicular soil moisture index as a remote sensing index (case study: Salehiya Wetland, Iran)
1. Introduction
2. Materials and methods
3. Results and discussion
4. Conclusion
Data availability statement
Chapter 31. Scrutinizing of soil erosion spatial distribution through explicit spatial HRU approaches in SWAT model
1. Introduction
2. Methods and materials
3. Results
4. Conclusion
Chapter 32. Application of ANSWERS model for calculating runoff and sediment prediction from steep agricultural watersheds in northern Iran and its comparison with the other related models
1. Introduction
2. Materials and methods
3. Determining the needed inputs and modeling
4. Results and discussion
5. Conclusion
Chapter 33. Susceptibility mapping for land subsidence and collapsed pipes in north-east Iran
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusion
Index

Hamid Reza Pourghasemi

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

Affiliations and expertise

Professor, Department of Natural Resources and Environment Engineering, College of Agriculture, Shiraz University, Shiraz, Iran

Narges Kariminejad

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.

Affiliations and expertise

PhD Researcher, Department of Natural Resources and Environment Engineering, College of Agriculture, Shiraz University, Shiraz, Iran

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health