高标准农田建设是巩固和提高粮食生产能力、保障国家粮食安全的关键举措，当前高标准农田建设管理主要依赖传统手段，随着遥感等新一代信息技术蓬勃发展，为开展信息化监测监管创造了有利条件。尽管国内外学者围绕遥感地物识别、地表分类与参数反演开展了大量研究，但专门针对高标准农田监测目标的研究尚在起步阶段，已有遥感技术手段无法全面满足高标准农田监测监管需求。本文以高标准农田政策监管目标出发，梳理总结了农业遥感领域国内外相关研究进展，评价了已有技术手段在高标准农田遥感监测场景的适用能力。在此基础上，围绕高标准农田建设的基础设施工程、地力提升工程，以及高标准农田建后的种植用途、粮食产能等四大方面构建指标体系，在技术需求分析的基础上搭建高标准农田建设遥感监测框架，明确了监测要素、指标精度要求、监测频率等，其中，农田地块、道路、防护林等设施指标，土壤pH、含盐量、有机质等地力指标，以及作物种植结构等利用指标的遥感监测方法相对成熟，粮食产能监测指标还有待研究完善。该研究为指导开展高标准农田精准、智能、动态遥感监测，形成相关技术标准体系与应用标准模式，提升高标准农田建设综合监测监管能力提供了有益参考。

【Objective】The construction of well-facilitated farmland is a crucial strategy for consolidating and improving grain production capacity and ensuring national food security. At present, the management of well-facilitated farmland construction mainly relies on traditional methods. With the vigorous development of remote sensing and other new-generation information technologies, favorable conditions have been created for information-based monitoring and supervision. 【Method】 We conducted a comprehensive review on the current advances of remote sensing monitoring technology and analyze the potentials for developing a remote sensing based well-facilitated farmland monitoring system. 【Result】Although scholars in both domestic and foreign countries have carried out a lot of research on remote sensing on feature identification, land use classification and parameter inversion, the research specifically for monitoring targets of well-facilitated farmland is still in its infancy. The existing remote sensing technology methods can not comprehensively meet the monitoring and supervision of well-facilitated farmland. Based on the policy goal of well-facilitated farmland, this review summarizes the relevant research progress in agricultural remote sensing, and evaluates the applicability of existing technical tools in the remote sensing monitoring of well-facilitated farmland. On this basis, the technical framework of remote sensing monitoring for well-facilitated farmland is proposed, including infrastructure projects, farmland quality improvement projects, planting use management and grain production. Based on the analysis of technical needs, a remote sensing monitoring framework for well-facilitated farmland construction was established, which clarified monitoring elements, indicator accuracy requirements, monitoring frequency, etc. 【Conclusion】Among them, the remote sensing monitoring methods for indicators such as field parcel, roads, and protective forests, soil fertility indicators such as pH, salt content, and organic matter, as well as farmland utilization indicators such as crop planting structure, are relatively mature. However, the monitoring indicators for grain production capacity still need to be improved. This study provides a reference for guiding the implementation of accurate, intelligent and dynamic remote sensing monitoring of well-facilitated farmland, forming a relevant technical standard system and application standard model.