基于模型和遥感的水稻长势监测研究进展

Research Progress in Rice Condition Monitoring Based on Growth Model and Remote Sensing

水稻生长模型是集气候、土壤、品种和栽培措施等因素为一体的对水稻的物候发育、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。遥感影像的信息波段及其组合可以反射作物生长的空间信息,可实现对水稻进行长势监测和估产,具有及时性和广域性。将二者结合用于长势监测不但具有理论研究意义,而且还具有重要的应用价值。在简要概述水稻生长模型和长势遥感监测研究进展的基础上,总结了水稻生长模型和长势遥感监测相结合下水稻长势监测应用的研究进展,并提出一些今后研究设想。

Including the effect of climate, soil, cuhivars and cultivation measures on physiological processes, such as phonological development, photosynthesis, organ building, dry matter partition and quality formarion, rice growth model was dynamic mathematical model with predictability and mechanism. Wave bands and their combination of RS images could reflect the spatial information of crop growth and be used to monitor rice growth and estimate its yield. On the basis of brief introducing rice growth model and RS monitoring, the advance on rice growth monitoring combining rice growth model and RS monitoring was summarized and some ideas for further research were discussed in this paper.