Open source platform for monitoring and preventing illegal mining through geospatial analysis
DOI:
https://doi.org/10.5281/zenodo.17917889Keywords:
geospatial analysis, open source, illegal miningAbstract
This paper presents the development of an open-source web platform for monitoring and preventing illegal mining using geospatial technologies. The research adopted a quantitative approach with a descriptive, non-experimental design, focused on integrating satellite and georeferenced data for accessible territorial monitoring. The methodology was based on multi-temporal satellite imagery from Sentinel-2 and Landsat, processed in Google Earth Engine (GEE). Spectral indices such as NDVI, NBR, and BSI were applied, along with multi-temporal difference analysis and thresholds, to detect landscape changes and identify areas impacted by informal mining. Spatial data in GeoJSON format were also incorporated and analyzed using geospatial processing and dynamic visualization tools. The results demonstrate that the platform generates thematic maps, identifies affected areas, and facilitates the visualization of patterns relevant to decision-making. Consequently, it strengthens environmental and territorial monitoring. The study concludes that this tool is flexible, scalable, and has high potential for improving environmental governance and preventing illegal mining.
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