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    • Soil Erosion Spatial Modelling with Revised Universal Soil Loss Equation in ArcGIS Software

    Soil erosion spatial modelling with RUSLE in ArcGIS software

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    Udemy

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    Mode

    Online

    Fees

    ₹ 2699

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 2,699
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Introduction

    • Information about the course
    • Start the RUSLE project

    Fundamental theory

    • Soil
    • Soil erosion
    • Soil erosion prevention
    • Different soil erosion models
    • RUSLE model concept

    R factor (Rainfall erosivity)

    • R factor. Theory
    • Download precipitation data
    • Global rainfall erosivity map from ESDAC
    • Working with precipitation in NetCDF file of CRU
    • Reproject monthly rainfall data
    • R factor calculation with CRU monthly data
    • R factor from EUJRE
    • R factor for 30 meter pixel resolution

    K factor (Soil erodibility)

    • K factor. Theory
    • K factor calculation in Excel for dominant soil from FAO soil
    • Fill attribute table with K factor
    • Make K factor raster image

    LS factor (Slope length)

    • LS factor. Theory
    • Download DEM
    • Create Fill and flow direction for study area
    • Flow accumulation
    • Slope in radians
    • LS factor map
    • Correct LS values above 1000

    C factor (Land use and land cover)

    • С factor. Theory
    • Download Landsat images
    • Composite bands
    • Mosaic Landsat images
    • NDVI map
    • Making C factor map

    P factor (Conservation practice factor)

    • P factor. Theory
    • P factor table for slope and land cover
    • Supervised classification of the study area in ArcGIS
    • Reclasiffy slope and combine with classification map
    • Assigning P factor values for classes in attribute table
    • Extracting P values into seperate raster dataset and reprojecting

    Final water erosion modelling with RUSLE

    • Making the final RUSLE model
    • Resample into 100 meter resolution
    • Making image representation for final map

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