通过高光谱数据在鲜叶和冠层尺度上反演茶叶品质相关参数

项目名称： 通过高光谱数据在鲜叶和冠层尺度上反演茶叶品质相关参数

项目编号： No.41301462

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 天文学、地球科学

项目作者： 卞萌

作者单位： 武汉大学

项目金额： 25万元

中文摘要： 茶是我国重要的经济作物之一。鲜叶中的总茶多酚，游离氨基酸含量是影响茶叶品质的关键因素。虽然现有光谱分析技术已可对干粉样品进行定量分析，但目前从茶鲜叶和茶树冠层对茶质量进行遥感反演，特别是对茶品质相关的生化参数的估测还不多见。本申请课题以茶叶作为研究对象，在鲜叶和冠层两个尺度探讨从高光谱遥感数据中反演茶叶品质相关的茶多酚和氨基酸浓度参数。本研究计划建立基于反射光谱的茶鲜叶生化参数反演模型，探索鲜叶和冠层光谱响应相关化学参数浓度变化的模式，总结叶肉细胞结构、水分和冠层结构对反射光谱的影响。还将建立专门针对茶鲜叶的生物化学-光学物理模型（Tea-PROSPECT），将茶叶中重要化学成分茶多酚的光学固有特征融入现存的物理模型中，并基于此尝试建立普适性的茶叶质量反演模型。研究将奠定茶鲜叶和冠层光谱对酚氨比浓度响应的理论基础。

中文关键词： 茶叶质量；茶多酚；定量反演；高光谱；

英文摘要： With the advent of hyperspectral remote sensing (also referred to as imaging spectrometry), the remote sensing of vegetation has developed considerably. Hyperspectral reflectance is composed by a large number of narrow and continuously spaced spectral bands, usually over 100 bands along with the visible, near infrared and shortwave infrared spectral plane.Particularly, developments in hyperspectral remote sensing have provided new possibilities for estimation of foliar biochemicals, for the narrow spectral channels in hyperspectral techniques make it possible to detect small changes in narrow absorption features caused by the biochemical characteristics of the object, while in traditional broadband remote sensing, some critical information in specific narrowband may be lost. Today, much research has been undertaken to estimate the chemical composition of plants using reflectance spectroscopy, in the fields of grass, savanna trees, agricultural crops and forests. However, often these studies have focused on the detection of chlorophyll and nutrients such as nitrogen. Although some studies have been carried out on the estimation of other biochemical constituents of vegetation, the use of high spectral resolution data for estimating the biochemical parameters of vegetation needs to be explored. This research asse

英文关键词： tea quality；tea polyphenols；quantitative remote sensing；hyperspectral remote sensing；