Tutorial Membuat Peta Erosi Secara Spasial Menggunakan Arcgis dengan rumus USLE

Summary

This video demonstrates how to create a soil erosion map using GIS tools, focusing on erosion risk assessment using various data layers like rainfall, soil type, slope, and land use. The presenter walks through the process of downloading necessary datasets, calculating erosion indices, and applying formulas for rainfall erosivity and soil erodibility. The video also explains how to classify erosion danger levels for different regions and compute the total erosion rates. The tutorial provides a clear, step-by-step guide on assessing soil erosion in the Hiliran Gumanti district of Solok.

Takeaways

• 😀 The script provides a step-by-step guide on using GIS software, specifically ArcGIS, to calculate soil erosion in a specific region.
• 🌍 It emphasizes the use of free and open-source geospatial data available from Indonesia's geospatial websites for accurate analysis.
• 💧 The calculation of soil erosion incorporates various factors such as rainfall erosivity, land use, slope, and soil type, based on the Universal Soil Loss Equation (USLE).
• 🗺️ Users are instructed to download essential datasets, including rainfall, soil types, and slope maps, for use in GIS software.
• 📊 The script explains how to process data in ArcGIS by creating shapefiles and entering index values like LS (slope length), CP (crop management), and R (rainfall erosivity).
• 🔢 The erosivity factor (R) is calculated using data from local sources, such as BPS (Statistics Indonesia), focusing on rainfall patterns across different years and districts.
• 📝 Users are shown how to apply various formulas in Excel for calculating erosivity, including manual calculations and using specific rainfall data.
• 💻 The script provides a guide to setting up attribute tables and performing data conversion and editing in ArcGIS to calculate erosion potential.
• 🌱 It explains how to calculate and categorize soil erosion hazard classes (KB) and erosion severity levels (TB) to assess risk across different districts.
• 🖼️ The final result involves creating visual outputs in ArcGIS, with color-coded maps showing different levels of erosion risk, making it easier to identify areas in need of conservation efforts.

Q & A

What is the primary purpose of the video tutorial?

The primary purpose of the video tutorial is to demonstrate how to create an erosion map using ArcGIS, by calculating soil erosion based on indices such as rainfall erosivity, soil erodibility, slope length, and land use.

What geospatial data source does the tutorial recommend for downloading required datasets?

The tutorial recommends downloading the necessary geospatial data from Indonesia Geospatial (geospasial.id), a free and open-source platform.

What formula is used for calculating soil erosion in the tutorial?

The formula used for calculating soil erosion is based on the Ashley equation, which includes variables like R (rainfall erosivity), K (soil erodibility), LS (slope length), and CP (land use and conservation index).

How are the land use and conservation indices (CP) assigned in the process?

The land use and conservation indices (CP) are assigned based on a pre-defined table where each land use type has an associated value. These values are entered into the attribute table for processing in ArcGIS.

What role does rainfall erosivity (R) play in the erosion calculation process?

Rainfall erosivity (R) represents the potential of rainfall to cause erosion. It is calculated using data from local rainfall patterns, and its value is used to assess the impact of rainfall on soil erosion in a specific area.

How is the erosivity value for rainfall calculated in the tutorial?

The erosivity value is calculated using an equation based on monthly rainfall data. The tutorial uses data from the BPS (Statistics Bureau) of Solok, Indonesia, to compute the erosivity index for different regions, applying it through a formula in Excel.

What is the significance of the LS index in the erosion map creation?

The LS index represents the slope length and steepness, which influence how water flows across the landscape. It helps determine how susceptible an area is to soil erosion based on its topography.

What is the final output of the erosion map process described in the tutorial?

The final output is an erosion map that categorizes areas into different classes of erosion hazard (from low to high) and shows the degree of erosion risk in various regions, such as the Kecamatan Hiliran Gumanti in Kabupaten Solok.

How does the tutorial address data processing in ArcGIS?

The tutorial walks through various steps in ArcGIS, including creating and editing tables, inputting values for different indices (like R, K, LS, and CP), and using tools like 'Field Calculator' to calculate and classify erosion hazard based on these inputs.

What is the significance of the erosion hazard classification (KB and TB) in this process?

The erosion hazard classification (KB) categorizes the level of erosion risk, ranging from very light to very severe. The TB (degree of erosion danger) helps further define the intensity of erosion in different areas, which can guide land management and conservation efforts.