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遥感耕地监测现状与方法综述
引用本文:眭海刚,王建勋,华丽,段志强,许贵林. 遥感耕地监测现状与方法综述[J]. 广西科学, 2022, 29(1): 1-12. DOI: 10.13656/j.cnki.gxkx.20220311.011
作者姓名:眭海刚  王建勋  华丽  段志强  许贵林
作者单位:武汉大学测绘遥感信息工程国家重点实验室,湖北武汉 430079,华中农业大学资源与环境学院,湖北武汉 430070,湖北省空间规划研究院,湖北武汉 430064,广西科学院数字孪生新技术研究院,广西南宁 530007
基金项目:国家自然科学基金面上项目(41771457)资助。
摘    要:耕地资源是我国农村发展和农业现代化的根基命脉,是国家粮食安全的基石,因此迫切需要获取精细化、精准化的耕地资源分布与变化信息.对地观测技术与人工智能领域的发展为快速、精准、智能化的耕地监测提供了有力支撑.本文通过搜集国内外耕地监测领域相关的研究,梳理耕地相关监测内容,归纳遥感耕地监测分类体系,回顾遥感耕地监测领域技术方法...

关 键 词:遥感  耕地监测  监测内容  分类体系  方法历程  主流方法  应用领域
收稿时间:2022-01-27

Review on the Status and Methods of Remote Sensing Farmland Monitoring
SUI Haigang,WANG Jianxun,HUA Li,DUAN Zhiqiang,XU Guilin. Review on the Status and Methods of Remote Sensing Farmland Monitoring[J]. Guangxi Sciences, 2022, 29(1): 1-12. DOI: 10.13656/j.cnki.gxkx.20220311.011
Authors:SUI Haigang  WANG Jianxun  HUA Li  DUAN Zhiqiang  XU Guilin
Affiliation:State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, 430079, China;College of Resources and Environment of Huazhong Agricultural University, Wuhan, Hubei, 430070, China;Institute of Spatial Planning of Hubei Province, Wuhan, Hubei, 430064, China; Digital Twin New Technology Research Institute of Guangxi Academy of Sciences, Nanning, Guangxi, 530007, China
Abstract:Farmland resources are the lifeblood of my country''s rural development and agricultural modernization, and the cornerstone of national food security.Therefore, there is an urgent need for refined and accurate information on the distribution and change of farmland resources.The development of earth observation technology and artificial intelligence provides strong support for fast, accurate and intelligent farmland monitoring.In this article, by collecting the relevant research in the field of farmland monitoring at home and abroad, the relevant content of farmland monitoring is sorted out, the classification system of remote sensing farmland monitoring is summarized, the evolution process of technical methods in the field of remote sensing farmland monitoring is reviewed, the current mainstream farmland monitoring methods is summarized, and the application status of different agricultural regions, scale regions and classification units is revealed.The challenges and possible development trends of farmland monitoring with multi-source remote sensing data are pointed out.Remote sensing farmland monitoring should carry out research on farmland information extraction and change detection for different regions, scales and granularity, develop and innovate multi-source/modal data collaborative monitoring technology, realize the joint drive of "Data-Model-Knowledge" of farmland monitoring, and gradually improve the precision, refinement and intelligence level of farmland monitoring.
Keywords:remote sensing  farmland monitoring  monitoring content  classification system  method history  mainstream methods  application area
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