大数据时代耕地红线管控监测的机遇与挑战

he demographic reality of a large population and limited land resources in China necessitates the implementation of theworlds most stringent cultivated land protection system. Effective, timely, and accurate monitoring of the status of cultivated landprotection red line is essential to ensuring cultivated land protection and food security. The development of cutting-edge technologiessuch as remote sensing big data, cloud computing, and artificial intelligence has provided new opportunities for cultivated land controland monitoring. This article systematically elaborates on the current research status and challenges in the field of cultivated landprotection redline control and monitoring, including the establishment of the monitoring object system, the availability of remotesensing data, the accuracy, and timeliness of monitoring results, and other related issues. It introduces advanced technologies andprospects for big data technology in cultivated land redline monitoring and proposes innovative technical solutions for cultivated landredline monitoring. The article also discusses the challenges faced in achieving this paradigm shift in research and providescorresponding recommendations on the connotations of cultivated land protection, delineation of basic land units, and the constructionof monitoring networks for implementing national land spatial planning.