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Year 2025
 
Vol 66, Issue 5, [10 - 2025]

Developing an open source application on estimating potential of soil erosion based cloud computing

DOI:10.46326/JMES.2025.66(5).03

  • Affiliations:

    Hanoi University of Mining and Geology, Hanoi, Vietnam

  • *Corresponding:
    This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Received: 16th-May-2025
  • Revised: 21st-Aug-2025
  • Accepted: 8th-Sept-2025
  • Online: 1st-Oct-2025
Pages: 25 - 40
Views: 44
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Abstract:

Soil erosion is one of the most serious environmental issues, significantly affecting agricultural practices and productivity, water quality, and ecosystem sustainability. The Universal Soil Loss Equation (USLE) model is a widely used tool for studying soil erosion in a specific area, based on influencing factors such as rainfall, topographic features, soil type, vegetation cover, and human impact through farming practices. However, access to this model has traditionally been limited to researchers or technicians with expertise in data extraction and model processing technologies. With the advancement of information technology and the aim of making the model more accessible to a wider range of users, this study focuses on developing an open-source application to estimate soil erosion based on the USLE model. The application is deployed on the Google Earth Engine (GEE) platform, which enables large-scale and near real-time data processing and analysis without the need for local computing infrastructure. In addition, the application features a single-page interface, allowing users to interact easily without complex operations or page transitions. The computed results are visualized directly on the interface, displaying the spatial distribution of areas at risk of erosion. Users can export the results for further analysis or to generate reports in different formats.

How to Cite
Tran, H.Thi and Tran, N.Thi 2025. Developing an open source application on estimating potential of soil erosion based cloud computing (in Vietnamese). Journal of Mining and Earth Sciences. 66, 5 (Oct, 2025), 25-40. DOI:https://doi.org/10.46326/JMES.2025.66(5).03.
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