农业机械学报2026，Vol.57Issue(17)：1-18,18.DOI:10.6041/j.issn.1000-1298.2026.17.001
农作物遥感监测关键技术研究与应用进展
Research and Applications Progress of Key Technologies for Crop Remote Sensing Monitoring
摘要
Abstract
In recent years,crop remote sensing monitoring technologies have been widely applied and rapidly developed in the monitoring of food crops,cash crops,and other major crop types.These developments provide important technical support for efficient utilization of agricultural resources,agricultural production management,agricultural policy formulation and macro-level decision-making,safeguarding national food security and the supply of major agricultural products,as well as for enhancing comprehensive agricultural production capacity.Focusing on major grain,oil,cotton,and sugar crops that are closely related to national food security and the supply of important agricultural products,the research progress and applications of common key technologies for crop remote sensing monitoring were summarized.It systematically reviewed the data sources and observation approaches for crop remote sensing monitoring,followed by a synthesis of common key technologies in the retrieval of crop canopy parameters,crop area mapping and monitoring,crop growth condition monitoring,and remote sensing-based crop yield estimation.Specifically,the review covered major data sources and indicators,models,algorithms and technical methods,large-scale applications of key technologies,existing challenges,and future development trends.Finally,prospects for research and application of crop remote sensing monitoring were discussed.It showed that the development of multi-source remote sensing information(such as high-spatial and high-temporal resolution multispectral satellites,hyperspectral remote sensing,thermal infrared remote sensing,solar-induced chlorophyll fluorescence,synthetic aperture radar,unmanned aerial vehicle remote sensing),as well as machine learning,radiative transfer models,crop growth models coupled with remote sensing data assimilation methods,had significantly improved the spatial refinement,temporal continuity,quantitative parameter retrieval,and process interpretability of crop monitoring.In the future,crop remote sensing monitoring should further strengthen integrated space-air-ground collaborative observation,multimodal data fusion,mechanistic knowledge constraints,and the integration of intelligent algorithms,thereby promoting the transformation of crop remote sensing monitoring toward intelligent monitoring,standardized data products,and full-chain information services covering"monitoring-early warning-decision-making",providing effective support for China's national food security,the stable supply of important agricultural products,global food security,and sustainable development.关键词
农作物/遥感/冠层参数反演/面积监测/长势监测/单产估测Key words
crops/remote sensing/canopy parameter inversion/crop area monitoring/crop growth monitoring/yield estimation分类
信息技术与安全科学引用本文复制引用
任建强,罗珂,卜祥欣,赵红伟,李丹丹..农作物遥感监测关键技术研究与应用进展[J].农业机械学报,2026,57(17):1-18,18.基金项目
国家重点研发计划项目(2023YFB3906204) （2023YFB3906204）
