柑橘果园树体生长状态高光谱图像时间序列监测与生态适应性评价研究

项目名称： 柑橘果园树体生长状态高光谱图像时间序列监测与生态适应性评价研究

项目编号： No.31470408

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 生物科学

项目作者： 郑永强

作者单位： 中国农业科学院柑桔研究所

项目金额： 85万元

中文摘要： 橘园树体生长状态高光谱监测需要结合不同生态果园栽培措施对不同品种的树体性状和生理信息在不同物候期的变化特征及其对高光谱图像的响应机制。为此，本项目开展基于高光谱图像时间序列的不同生态柑橘果园树体性状和生理信息解译与评价研究。研究内容包括：①不同物候期花、果实、不同叶龄叶片识别与特征参数提取研究；②基于高光谱图像时间序列树体物理结构参数提取和光合产物获取、分配相关生理信息提取研究；③冠层色素含量和水分状态提取研究；④不同生态柑橘果园树体生产力形成分析，采用关联分析法解析树体生产力与树体物理性状和生理信息参数的机理性关系。其研究成果将为柑橘优质、丰产资源筛选评价提供理论和工具上的支持，亦为研发实用化的柑橘树体监测预警系统和调优栽培决策奠定理论理论基础。

中文关键词： 柑橘；时间序列；监测；高光谱图像；植物生长状态

英文摘要： Hyperspectral image for monitoring citrus production systems requires the understanding of how plant physiology, canopy structure, management and solar elevation affect the retrieved canopy reflectance during different stages of the phenological cycle. However, there is no report on the regulation mechanism of citrus tree production capacity combining real-time characteristic spectral separation for citrus tree by now. Hence, the project proposed to interpret a hyperspectral time series for a mature and healthy citrus orchard.The research results will be useful for development of citrus tree monitoring system and optimizing cultivation decision to lay the theoretical foundation, to promote the development of precision agriculture in citrus. The experiments carry out in the navel orange orchard located in the Three Gorges Reservoir Area,and based on the hyperspectral images time series data,biophysical parameters at the canopy level were derived and related to known observed physiological and phenological changes at the leaf level under different orchard management of pruning and preventing fruit abscission. Fractions of flowers,fruit, function leaves and shoot leaves were considered, and indices related to canopy structure chlorophyll content and canopy water status were calculated. Finally, the monitoring model of citrus tree production capacity are constructed combined with the physiological interpretation of a hyperspectral time series in a citrus orchard under different ecological environment using multi information fusion methods.

英文关键词： Citrus;Time series;Monitor;Hyperspectral image;Plant growth status