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叶绿素是农作物生长过程中重要的生化参数之一,其含量对农作物长势监测、病虫害监测、成熟期预测都有重要意义。介绍了现有遥感监测农作物叶绿素含量的模型基本原理与方法,总结了国内外在该领域的主要研究成果,进一步将模型进行分类,并分别针对经验模型、物理模型和耦合模型进行详细论述,分析了模型的优缺点及其适用范围,根据遥感估算农作物叶绿素含量的模型研究中存在的问题,对未来估算模型的发展趋势进行了展望。
Chlorophyll is one of the important biochemical parameters in crop growth. The content of chlorophyll is of great significance to crop growth monitoring, pest and disease monitoring and maturity prediction. The basic principles and methods of remote sensing monitoring of crop chlorophyll content are introduced. The main research results in this field at home and abroad are summarized. The models are further classified, and the experiential models, physical models and coupling models are discussed respectively in detail. The advantages and disadvantages of the model and its applicability, the problems existing in the model study of crop chlorophyll content estimation based on remote sensing are analyzed, and the development trend of the future estimation model is prospected.