QGIS Tutorial: Calculate Rainfall Erosivity (R Factor) for RUSLE! (አማርኛ )

Rainfall Aggregation video Link    • Transform Raw Rainfall Data Into Actionabl...  
Unlock the power of erosion modeling in QGIS! This step-by-step tutorial teaches you how to calculate the Rainfall Erosivity (R Factor), a critical component of the Revised Universal Soil Loss Equation (RUSLE), using rain gauge station data.

Perfect for soil scientists, hydrologists, environmental consultants, and agricultural planners, this guide walks you through the entire process. Learn to import station CSV data, perform spatial interpolation (IDW, Kriging) to create a continuous R factor raster, and prepare your data for soil erosion risk mapping.

I’ll show you how to apply the standard R factor formula to pluviometric data, handle missing values, and generate a professional erosivity map in QGIS. This workflow is essential for soil loss prediction, watershed management, conservation planning, and academic research.

⏱ TIMESTAMPS:
0:00 – Introduction to RUSLE & the R Factor
1:45 – Preparing Your Rainfall Station Data (CSV)
3:30 – Importing Data Calculate R Values in QGIS
5:15 – Spatial Interpolation: Creating the Raster Surface
7:00 – Using IDW for Erosivity Mapping
9:10 – Symbolizing & Classifying the Final R Factor Map
10:30 – Exporting for Full RUSLE Soil Loss Calculation

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