Over the past few years, mining activities within mining regions have had significant impacts on the ecological environment. To comprehensively monitor and evaluate the ecological condition of mining areas, this study seeks to employ remote sensing technology and data analysis methodologies to establish a scientific foundation and formulate appropriate conservation strategies. This study centres on Jining City to conduct monitoring of the ecological environment quality and investigate the impacts of neighbouring mining areas. By integrating the entropy method into the remote sensing ecological index model, we analysed the changes in the ecological environment over the last 30 years. Additionally, we employed a geographically weighted regression model to assess the impact of human activities on the urban ecological environment. The findings of this study will contribute to a deeper understanding of the ecological challenges in the region and offer valuable insights for sustainable development and environmental protection endeavours. To enhance the accuracy of the remote sensing ecological index model, the entropy method is employed. The entropy method is a mathematical approach that considers data uncertainty and complexity. By incorporating this method into the model, we can more effectively capture the intricate relationships among various ecological parameters and achieve a more accurate assessment of the ecological condition of the area. Moreover, a geographically weighted regression model was employed to quantify the influence of human activities on the urban ecosystem. This model takes into account the spatial variation in human activities and their impacts on the environment. By considering factors such as population density, economic level, night-time lighting index, and road network density, we can assess the extent to which human activities contribute to ecological changes. Jining is one of the developed coal cities in China, with its coal resources concentrated in the central city and planning area. While large-scale coal mining has brought economic benefits, it has also resulted in severe environmental problems and local ecological damage, including landscape fragmentation, soil erosion, vegetation degradation, loss of biodiversity, and collapse of coal mining areas. The surrounding mining areas pose a significant threat to the environment through land degradation, pollution, and habitat destruction. By analysing changes in ecological indices, we can identify specific areas most affected by mining activities and propose potential mitigation measures. The primary goal of this study is to comprehensively evaluate the ecological condition of Jining. The ecological well-being of this area is essential as it significantly contributes to biodiversity conservation, sustainable development, and the protection of natural ecosystems and local communities. In conclusion, the findings of this study will contribute to a deeper understanding of the ecological challenges in the region and offer valuable insights for sustainable development and environmental protection endeavours.