董金玮,崔屹峰,邸媛媛,高璇,陈曦,杨林生,蔡玉梅,宁佳,刘纪远.大数据时代耕地红线管控监测的机遇与挑战[J].中国科学院院刊,2023,38(12):1781-1792.

大数据时代耕地红线管控监测的机遇与挑战

Opportunities and challenges in monitoring cultivated land red line in big data era

董金玮^1,2*
中国科学院地理科学与资源研究所 北京 100101;中国科学院大学 北京 100049
DONG Jinwei^1,2*
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;University of Chinese Academy of Sciences, Beijing 100049, China
崔屹峰^1,2
中国科学院地理科学与资源研究所 北京 100101;中国科学院大学 北京 100049
CUI Yifeng^1,2
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;University of Chinese Academy of Sciences, Beijing 100049, China
邸媛媛¹
中国科学院地理科学与资源研究所 北京 100101
DI Yuanyuan¹
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
高璇¹
中国科学院地理科学与资源研究所 北京 100101
GAO Xuan¹
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
陈曦^1,2
中国科学院地理科学与资源研究所 北京 100101;中国科学院大学 北京 100049
CHEN Xi^1,2
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;University of Chinese Academy of Sciences, Beijing 100049, China
杨林生^1,2
中国科学院地理科学与资源研究所 北京 100101;中国科学院大学 北京 100049
YANG Linsheng^1,2
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;University of Chinese Academy of Sciences, Beijing 100049, China
蔡玉梅³
自然资源部国土空间规划研究中心 北京 100034
CAI Yumei³
Research Center for Land and Spatial Planning, Ministry of Natural Resources, Beijing 100034, China
宁佳¹
中国科学院地理科学与资源研究所 北京 100101
NING Jia¹
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
刘纪远¹
中国科学院地理科学与资源研究所 北京 100101
LIU Jiyuan¹
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

         耕地红线;遥感监测;大数据研究范式;粮食安全

        cultivated land redline;remote sensing monitoring;big data research paradigm;food security

        人多地少的国情决定了我国实行世界上最严格耕地保护制度的必要性。我国耕地保护红线管控状态的有效、及时和准确监测成为实现耕地保护和粮食安全的重要保证，遥感大数据、云计算和人工智能等前沿技术的发展为耕地管控监测提供了新的机遇。文章系统阐述了当前耕地保护红线管控监测方面的研究现状和面临的问题，包括监测对象体系的构建、遥感数据的可用性、监测结果的准确性和时效性等；介绍大数据技术在耕地红线监测中的前沿技术和应用前景，提出耕地红线监测的创新技术方案；讨论了实现这一研究范式变革面临的挑战，并就耕地保护内涵、基本地块单元划定、国土空间规划实施监测网络构建等问题提出了相应建议。

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