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Advanced tools for studying soil erosion processes : erosion modelling, soil redistribution Rates, advanced analysis, and artificial intelligence /

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 interacti...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Pourghasemi, Hamid Reza (Editor), Kariminejad, Narges (Editor)
Format: eBook
Language:English
Published: [Amsterdam] : Elsevier, 2024.
Subjects:
Soil erosion.
Soil erosion > Simulation methods.
Sols > Érosion.
Sols > Érosion > Méthodes de simulation.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • ADVANCED TOOLS FOR STUDYING SOIL EROSION PROCESSES
  • ADVANCED TOOLS FOR STUDYING SOIL EROSION PROCESSES: EROSION MODELLING, SOIL REDISTRIBUTION RATES, ADVANCED ANALYSIS, AND ARTIFICIAL INTELLIGENCE
  • Copyright
  • Dedication
  • Contents
  • Contributors
  • Preface
  • Part I: Erosional processes and impacts
  • Part II: Advanced computing techniques to quantify soil erosion
  • Part III: Methods of soil analysis
  • Acknowledgments
  • I
  • Erosional processes and impacts
  • 1
  • Mapping land subsidence using time-series analysis of Sentinel-1 InSAR in various land use areas
  • 1. Introduction
  • 2. Material and methods
  • 2.1 Study area
  • 2.2 Methodology
  • 2.2.1 InSAR data and SBAS processing
  • 2.2.2 Land use map
  • 3. Result and discussion
  • 4. Conclusion
  • Acknowledgments
  • References
  • 2
  • Use of hydrological models in erosion and sediment studies: a review
  • 1. Introduction
  • 2. Materials and methods
  • 3. Results
  • 4. Discussion
  • 4.1 Soil and water assessment tool
  • 4.2 Limburg soil erosion model
  • 4.3 Parameter efficient distributed
  • 4.4 Spatial tools for river basins, environment and analysis of management options
  • 4.5 Radial basis neural network
  • 4.6 SHETRAN
  • 5. Conclusion
  • References
  • Further reading
  • 3
  • Comprehensive introduction to Digital Elevation Models, as a key dataset in soil erosion mapping
  • 1. Introduction
  • 1.1 Earth modeling
  • 1.2 Digital elevation model
  • 1.3 Comparison of DEMs, DSMs, DTMs, and DFMs
  • 1.4 The role of DEMs in soil erosion mapping
  • 2. A survey of techniques for generating DEMs
  • 2.1 Ground-based surveying
  • 2.2 Airborne LiDAR
  • 2.3 UAV photogrammetry
  • 2.4 Airborne photogrammetry
  • 2.5 Spaceborne photogrammetry
  • 2.6 Interferometric synthetic aperture radar
  • 2.7 Radargrammetry
  • 2.8 Global Digital Elevation Models
  • 2.9 DEM quality aspects
  • 2.10 DEM vertical accuracy assessment metrics
  • 3. A case study of GDEMs evaluation using spaceborne LiDAR
  • 3.1 Introduction
  • 3.2 Study area and dataset
  • 3.3 Methodology
  • 3.4 Results
  • 3.5 Discussion
  • 4. Conclusion
  • References
  • 4
  • Soil pipe pattern dynamics and illustration of the erosional landforms from a geomorphological perspective
  • 1. Introduction
  • 2. Study area
  • 3. Materials and methods
  • 3.1 Field visit to the watersheds in the eastern Razavi Khorasan Province and examination of gully, tunnel, and sinkhole erosio ...
  • 3.2 Field survey of gully, tunnel, and sinkhole erosions and drone imaging of the study areas
  • 3.3 Laboratory procedures to determine the physical, chemical, and biological properties of the soil
  • 3.4 Analysis of spatial patterns and distribution manner of tunnel erosions and pits in study areas
  • 4. Results
  • 5. Discussion
  • 6. Conclusion
  • References
  • 5
  • Extraction of water bodies using machine learning and water body indices in an arid region, comparison, and app ...