Registration and Course Fees
- Price: INR 1499
- Instrutor: Dr. Saurabh Singh
- Duration: (5 Days / 10 Hrs) (Monday to Friday)
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Lessons:
10
About This Training
This training course focuses on utilizing ArcGIS software to estimate soil erosion using the Revised Universal Soil Loss Equation (RUSLE). Participants will learn the theory and practical applications of RUSLE within ArcGIS, enabling them to assess soil erosion potential, identify erosion-prone areas, and develop effective erosion control strategies. The course covers topics such as data preparation, parameterization, RUSLE modeling, spatial analysis, and result interpretation.
Training Benefits
- Live training sessions conducted by experienced trainers
- Placement assistance and guidance provided
- Labs available for practice, assignments, and final assessment for certification
- Internship and live project assistance
- Acquire knowledge of symbology and cartographic design principles.
- Explore advanced functionalities such as 3D visualization and data editing.
- Understand how to publish and share maps and data using ArcGIS Online.
Requirements (Who Can Attend the Training?)
- Graduates, postgraduates, and PhD scholars
- Faculty members
- Students seeking to enter the GIS field
- Experienced GIS professionals
- Corporate employees and companies interested in GIS programming
Training Benefits
- June Month - Online
- Batch Start Date :
Course - Duration / Training Methodology
- Duration: 5 days / 10 hours (Monday to Friday)
- Training Methodology: Blended learning approach with a combination of theory and hands-on exercises
- Prerequisites: Basic knowledge of ArcGIS software
Course Outline
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Overview of soil erosion processes and its environmental impacts
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Introduction to the Revised Universal Soil Loss Equation (RUSLE) and its components
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Understanding the factors influencing soil erosion: Rainfall, soil erodibility, slope length, slope steepness, and land cover management
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Data requirements for RUSLE modeling: DEM (Digital Elevation Model), rainfall data, soil data, land cover data
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Data acquisition methods: Satellite imagery, digital elevation data sources, soil databases, rainfall data sources
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Data preprocessing techniques in ArcGIS: Georeferencing, mosaicking, resampling, and projection adjustments
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Determining the RUSLE parameters: Rainfall erosivity, soil erodibility, slope length, slope steepness, and land cover management factors
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Calculating rainfall erosivity using historical rainfall data
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Assessing soil erodibility based on soil texture and organic matter content
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Estimating slope length and steepness using DEM and slope analysis tools
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Incorporating land cover management practices in RUSLE
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Integrating RUSLE parameters in ArcGIS: Creating raster layers and assigning appropriate units
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Performing spatial analysis using ArcGIS tools: Map algebra, weighted overlay, and raster calculator
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Generating soil erosion risk maps and identifying erosion-prone areas
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Conducting sensitivity analysis and validation of the RUSLE model
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Interpretation and visualization of soil erosion risk maps
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Identification of critical erosion areas and prioritization of conservation measures
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Developing erosion control strategies: Terracing, contouring, vegetative measures, and land management practices
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Review of case studies and real-world applications of RUSLE in soil erosion assessment
Course Conclusion: Upon successful completion of the course, participants will have a comprehensive understanding of the Revised Universal Soil Loss Equation (RUSLE) and its application in ArcGIS for soil erosion estimation. They will be equipped with the skills to assess soil erosion potential, generate erosion risk maps, and develop erosion control strategies using GIS technology.
Note: This course outline is a general guideline and can be customized to meet specific training requirements and time constraints.
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