华南农业大学学报2016，Vol.37Issue(5)：45-49,5.
基于高光谱植被指数的马铃薯叶片叶绿素含量估测模型
Estimation models of chlorophyll contents in potato leaves based on hyperspectral vegetation indices
摘要
Abstract
[Objective] To build models for estimating chlorophyll a and chlorophyll b contents in potato, Solanum tuberosum, leaves by using hyperspectral vegetation indices, and provide a basis for scientific and nondestructive estimation of chlorophyll content in potato leaves. [Method]Leaf spectral reflectance was measured for potato plants at different growth stages under different nitrogen levels by using a portable spectrometer. The hyperspectral vegetation indices were extracted from leaf spectral reflectance. The con-tents of chlorophyll a and chlorophyll b in potato leaves were measured, and the relationship between hyperspectral vegetation index and chlorophyll content was analyzed. [Result]There were 12 vegetation indices with relatively good correlations with chlorophyll content. Modified normalized difference index ( mND705 ) , modified simple ratio index( mSR705 ) ,MERIS terrestrial chlorophyll index( MTCI) and modi-fied chlorophyll absorption reflectance index( MCARI) had the highest correlations with chlorophyll con-tents among the 12 vegetation indices. Estimation models were established based on above-mentioned four indices. The power model based on MTCI offered the best estimation of chlorophyll a content, and the in-dex model based on MCARI offered the best estimation of chlorophyll b content.[Conclusion]The power model based on MTCI and the index model based on mND705 can be respectively used to estimate chloro-phyll a and chlorophyll b contents in potato leaves with relatively high accuracy,and indirectly monitor nitrogen deficiency in potato plants.关键词
高光谱技术/光谱反射率/马铃薯/植被指数/叶绿素含量/反演模型Key words
hyperspectral technology/spectral reflectance/Solanum tuberosum/vegetation index/chloro-phyll content/inversion model分类
农业科技引用本文复制引用
何彩莲,郑顺林,周少猛,张琴,袁继超,胡建军..基于高光谱植被指数的马铃薯叶片叶绿素含量估测模型[J].华南农业大学学报,2016,37(5):45-49,5.基金项目
国家现代农业产业技术体系建设专项(CARS20) （CARS20）
四川省育种攻关及配套项目(2011NZ0098-15-5) （2011NZ0098-15-5）
