遥感和生长模型相结合的小麦长势监测研究现状与展望

 遥感影像的信息波段及其组合可以反映农作物生长的空间信息，可对小麦进行长势监测和产量估算，具有及时性和广域性。生长模型是集气候、土壤、品种和栽培措施等因素为一体的，对作物的物候发育、光合生产、器官建成、同化物积累与分配以及产量与品质形成等生理过程及其与环境和技术因子关系综合量化的动态数学模型，具有机理性和预测性。将二者结合用于长势监测不但具有理论研究价值，还具有广泛的应用前景。本文在简要概述小麦生长模型和长势遥感监测研究进展的基础上，总结了生长模型和遥感相结合的小麦长势监测应用的研究进展，并提出一些今后研究设想。

RESEARCH SITUATION AND PROSPECTS OF WHEAT CONDITION MONITORING BASED ON GROWTH MODEL AND REMOTE SENSING

Wave bands and the combination of RS images can reflect the spatial information of crop growth, monitor wheat growth and estimate its yield. Including the effects of climate, soil, cultivars and cultivation measures on physiological processes such as phonological development, photosynthesis, organ building, dry matter partition and quality formation, the wheat growth model is a dynamic mathematical model with predictability and mechanism. On the basis of a brief introduction to the wheat growth model and RS monitoring, the research advances in wheat growth monitoring combining the wheat growth model and RS monitoring are summarized, and some ideas for further researches are discussed in this paper.