Remote Sensing of Soil and Land Surface Processes

Monitoring, Mapping, and Modeling

Assefa Melesse, Omid Rahmati, Khabat Khsoravi

• Publisher: Elsevier
• Year: 2023
• Print ISBN: 9780443153419
• eBook ISBN: 9780443153426
• Topic: Scienze fisiche
• Subtopic: Geofisica

Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling couples artificial intelligence and remote sensing for mapping and modeling natural resources, thus expanding the applicability of AI and machine learning for soils and landscape studies and providing a hybridized approach that also increases the accuracy of image analysis. The book covers topics including digital soil mapping, satellite land surface imagery, assessment of land degradation, and deep learning networks and their applicability to land surface processes and natural hazards, including case studies and real life examples where appropriate. This book offers postgraduates, researchers and academics the latest techniques in remote sensing and geoinformation technologies to monitor soil and surface processes. - Introduces object-based concepts and applications, enhancing monitoring capabilities and increasing the accuracy of mapping - Couples artificial intelligence and remote sensing for mapping and modeling natural resources, expanding the applicability of AI and machine learning for soils and sediment studies - Includes the use of new sensors and their applications to soils and sediment characterization - Includes case studies from a variety of geographical areas

Table of contents

• Title of Book
• Cover image
• Title page
• Table of Contents
• Copyright
• Contributors
• Preface
• Chapter 1 Introduction to soil and sediment
• Chapter 2 DInSAR-based assessment of groundwater-induced land subsidence zonation map
• Chapter 3 Remotely sensed prediction of soil organic carbon
• Chapter 4 Conceptual of soil moisture based on remote sensing and reanalysis dataset
• Chapter 5 Dust-source monitoring using remote sensing techniques
• Chapter 6 Land surface temperature and related issues
• Chapter 7 Unraveling the changes in soil properties availed by UAV-derivative data in an arid floodplain: Lessons learned and things to fathom
• Chapter 8 Investigating the land use changes effects on the surface temperature using Landsat satellite data
• Chapter 9 The application of remote sensing on wetlands spatio-temporal change detection
• Chapter 10 Machine learning modeling of the wind-erodible fraction of soils
• Chapter 11 Application of remote sensing techniques for evaluating land surface vegetation
• Chapter 12 A brief review of digital soil mapping in Iran
• Chapter 13 Impacts of land use and land cover changes on soil erosion
• Chapter 14 Road-side slope erosion using MLS and remote sensing
• Chapter 15 Suspended sediment load prediction and tree-based algorithms
• Chapter 16 Soil erosion and sediment change detection using UAV technology
• Chapter 17 Monitoring and detection of land subsidence
• Chapter 18 Drought mapping, modeling, and remote sensing
• Chapter 19 Predictive pedometric mapping of soil texture in small catchments: Application of the integrated computer-assisted digital maps, machine learning, and limited soil data
• Chapter 20 Object-based image analysis approach for gully erosion detection
• Chapter 21 Landslide detection and monitoring using remote sensing approach
• Chapter 22 Classification algorithms for remotely sensed images
• Chapter 23 Spatial analysis of sediment connectivity and its applications
• Chapter 24 Soil properties mapping using the Google Earth Engine platform
• Chapter 25 Supportive role of remote sensing techniques for landslide susceptibility modeling
• Chapter 26 An overview of remotely sensed fuel variables for the prediction of wildf ires
• Chapter 27 Improving landslide susceptibility mapping using integration of ResU-Net technique and optimized machine learning algorithms
• Index