Abstract: Open-pit coal mining and ecological restoration jointly drive significant changes in the mine ecosystem. In the new era, monitoring and evaluation of mine land reclamation and ecological restoration consider ecosystem degradation and recovery as essential indicators, but effective monitoring methods are lacking. Sentinel satellite data is used to invert vegetation and soil parameters. Based on the ecological niche theory, a segmentation method of multi-dimensional hypervolume of ecosystems in open-pit coal mine is developed and applied to monitor ecosystem changes in the open-pit coal mine of Zhunneng Group from 2018 to 2024. The research results show that: ① Comprehensive utilization of Sentinel satellite polarization, spectral, and texture feature variables can accurately and effectively estimate vegetation and soil parameters; ② As the number of ecosystem parameters increases, the Jaccard similarity coefficient of different ecosystem state spaces decrease. When the hypervolume dimension is 3, the overlap degree of each ecosystem state space is small and the separability is high. Vegetation coverage, community structure index, ground roughness, soil moisture, and soil organic matter are key ecosystem parameters for hypervolume segmentation; ③ Based on multi-dimensional hypervolume segmentation, the state change areas and amplitudes of the open-pit coal mine ecosystem can be effectively identified. The larger the amplitude of ecosystem state transitions, the higher the monitoring accuracy, with an overall accuracy exceeding 80%; ④ From 2018 to 2024, the ecosystem state in the stripping and mining areas of the study area mainly experienced negative transitions, while the ecosystem state in the dumping and reclamation areas mainly experienced positive transitions, indicating that open-pit coal mine of Zhunneng Group has effectively implemented the strategy of concurrent mining and reclamation. Overall, based on Sentinel satellite data and multi-dimensional hypervolume segmentation method, the whole process monitoring of ecosystem degradation and recovery status in open-pit coal mining before, during, and after mining can be achieved. In the future, the integration and collaborative analysis of multi-source and multi-temporal remote sensing data should be strengthened to achieve integrated monitoring of the state, structure, and function of the ecosystem in open-pit coal mine.