Land use change is a key factor triggering ecosystem changes. Activities such as urbanization, deforestation and agricultural expansion are constantly changing the surface pattern, leading to the decline of biodiversity, enhanced climate feedback and the degradation of ecosystem service capacity. This paper takes remote sensing technology as the entry point, systematically sorts out the main ecological impacts caused by land use changes, and focuses on analyzing the monitoring and evaluation functions of remote sensing in the processes of urban expansion, forest loss, soil degradation and green space reduction. Studies have found that remote sensing indices (such as NDVI, EVI, LAI) and classification techniques (such as OBIA, random forest) can effectively identify ecological change trends and enhance the scientific nature of ecological restoration effect assessment and policy response. This paper emphasizes the future potential of the integration of remote sensing and multi-source data, the development of intelligent algorithms, and the integration of interdisciplinary models, aiming to provide technical support and methodological references for regional sustainable land management and environmental governance. .
Hongfei Duan (Sun,) studied this question.