Land subsidence is a significant problem in many rural areas, and its management requires accurate and timely monitoring of the subsidence-prone areas. In this paper, we propose the design of a digital display platform for rural subsidence space optimization from the perspective of national space. The proposed platform leverages remote sensing data and machine learning algorithms to monitor subsidence-prone areas, identify the causes of subsidence, and develop strategies for land management and soil conservation. The platform can contribute to achieving sustainable development in rural areas by improving agricultural yield, enhancing the ecological environment, and promoting sustainable land management.