中国农业科学2012，Vol.45Issue(10)：2085-2092,8.DOI:10.3864/j.issn.0578-1752.2012.10.022
基于高光谱的冬小麦叶面积指数估算方法
An Estimation Method of Winter Wheat Leaf Area Index Based on HyperSpectral Data
摘要
Abstract
[Objective] Leaf area index (LAI) is one of the important parameters for evaluating winter wheat growth status and forecasting its yield. Hyperspectral remote sensing is a new technical approach that can be used to acquire the instant information of winter wheat LAI without harm to the growing crops. By integrating hyperspectral remote sensing and traditional field monitoring, this study aims to explore the best band spectral parameters and monitoring model for winter wheat LAI inversion in south China. [Method] The study was carried out at Houhu Management District of Qianjiang city, South China's Jianghan Plain. At winter wheat growth stage, the winter wheat canopy spectral reflectance and LAI were monitored in field using the ASD FieldSpec 3 and SunScan canopy analysis system. Then the correlation between the Hyperspectral Vegetation Index (HVI) and LAI was analyzed. Six inversion models were constructed for estimating LAI by using correlation analysis, regression analysis and other methods. [Result] The results show that winter wheat canopy spectral reflectance in near infrared band of 870nm platform, red waveband of 670 nm, green waveband of 550nm and blue waveband of 450nm are the most sensitive bands to LAI changes. The coefficients of determination (R2) of the constructed HVI/LAI model are between 0.675-0.757. Among them, the NDVI inversion model has the highest R2 (0.757). [Conclusionl Accuracy test shows that NDVI inversion model has the highest accuracy compared to other models. It is concluded that NDVI model is the most suitable model for inverting winter wheat LAI in the study area.Nevertheless, band selection is also important in adopting the new technical approach for monitoring winter wheat LAI in South China's Jianghan Plain.关键词
高光谱/冬小麦/叶面积指数/估算Key words
hyperspectral/ winter wheat/ leaf area index/ estimation引用本文复制引用
夏天,吴文斌,周清波,周勇,于雷..基于高光谱的冬小麦叶面积指数估算方法[J].中国农业科学,2012,45(10):2085-2092,8.基金项目
国家自然科学基金项目(40971218)、全球变化研究国家重大科学研究计划项日(2010CB951504)、农业部农业科研杰出人才基金项目、农业部农业信息技术重点实验室开放课题(2011002)、中央级公益性科研院所专项资金项目(IARRP-2012-29) （40971218）
