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The aim of this study is to evaluate the optimization and potential suitability by applying satellite technology to detect changes in horizontal and vertical surface mining in Surint Omya Chemicals (Thailand) Co., Ltd., and Silasanon Co., Ltd.,. This study is focusing on open-source satellite earth observation and free software (QGIS and two plugins of SCP and Orfeo toolbox). Firstly, Sentinel-1, Sentinel-2 and Landsat 8 data were selected as a satellite-based data source in this study. The Mean-Shift segmentation and Random Forest (RF) algorithm were used for extracting horizontal mining boundaries from Sentinel-2 and Landsat 8 data. In addition, The InSAR technique was used for extract vertical mining with a DEM from Sentinel-1 data. Finally, the horizontal and vertical mining change detection were validated using the high-resolution data obtained by UAV and statistic approach by calculation of R² and RMSE. The result reveals that Sentinel-2 is shown a medium suitability for horizontal boundary mining change detection because the result of the change is accordingly related to the reference and can be accepted. While Landsat-8 is not a suitable choice for horizontal change detection in small area mining because the change pattern has not relation to reference, and Sentinel-1 is not suitable for detecting the change in vertical mining in the small mining areas. The results from this study can be applied to investigate changes in mining initially to find suspicious areas that are likely to mine outside the permissible limits. Reduces operating time Reduce costs and prevent damage to mineral resources in a timely manner. Keywords: Remote sensing …