Abstract

This study presents an in-depth analysis of the economic policies and implications surrounding artisanal gold mining, reframing the discussion from geographical specifics to a broader policy and economic context. Utilizing advanced geospatial data from the Landsat image collection through “Google Earth Engine,” the research evaluates the economic impact and policy challenges posed by artisanal gold mining over a period from 2011 to 2021. The approach combines change detection methodologies with machine learning to quantify the economic repercussions of land cover changes due to mining. The analysis reveals significant economic transformations, with an average of 2700 ha of land affected annually, culminating in around 48,000 ha over the decade, highlighting a critical period from 2013 to 2020. Importantly, the study identifies policy gaps, especially in the management of protected areas where approximately 800 ha of mining occurred. The findings underscore the urgent need for policy interventions to mitigate the adverse economic and environmental impacts of unregulated mining. The study contributes to a broader understanding of the economic ramifications of artisanal mining and serves as a call to action for policymakers to address the challenges of sustainable mining practices and economic development.

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