Gold mining operations generate a range of ecological and environmental impacts that can be measured spatially using geographic information system and remote sensing methods. This study assessed land-use and land-cover dynamics in the gold mining area using geographic information system and remote sensing techniques with the aid of Landsat 5 for years 1984, 1994, 2004 and Landsat 8 for 2014 and 2019 obtained from the United States Geological Survey and Remote Pixel Databases using ArcGIS 10.4 and R programming. The result from the study revealed the current changes and how they have evolved over the years where tailings dam and built-up areas increased from 90.5 to 172.9 km² between the year 1984 and 2019, while mine effluent (return water ponds) and water bodies increased from 14.7 to 18.8 km² during the same period. The area also experienced increased vegetation from 342.5 to 371.1 km² (though fluctuating during the study period) an indication that the area has witnessed revegetation in the area. Results from the study further revealed the vegetation health in the area utilises some vegetation indices such as the Global Environmental Monitoring Index, Normalised Difference Impervious Surface Index and Normalised Difference Moisture Index. Findings from the study show that areas with low index values are susceptible to the impact of mining and other anthropogenic activities, whereas high-index areas connote little or no impact. The outcome of this study provides a cost-effective tool for evaluating environmental impacts in mining areas that can drive policy interventions for remediation in affected areas.

金矿开采产生一系列生态和环境影响，可以使用地理信息系统和遥感方法在空间上进行测量。这项研究利用地理信息系统和遥感技术，借助Landsat 5于1984、1994、2004年以及Landsat 8于2014和2019年从美国地质学获得的数据，利用地理信息系统和遥感技术评估了金矿区的土地利用和土地覆盖动态使用ArcGIS 10.4和R编程的测量和远程像素数据库。该研究的结果揭示了1984年至2019年期间尾矿坝和建成区面积从90.5增至172.9 km ²的同时矿山废水（回水水池）和水体在过去几年中的当前变化及其变化。从14.7增加到18.8 km ²在同一时期。该地区的植被也从342.5增加到371.1 km ²（尽管在研究期间有所波动）表明该地区已经目睹了植被恢复。研究结果进一步表明，该地区的植被健康状况利用了一些植被指数，例如全球环境监测指数，归一化差异不透水表面指数和归一化差异水分指数。该研究的结果表明，指数值较低的地区容易受到采矿和其他人为活动的影响，而指数较高的地区则几乎没有影响。这项研究的结果为评估采矿区的环境影响提供了一种经济有效的工具，可以推动对受影响地区进行补救的政策干预措施。