Recognizing wheat plant-type using NDVI and cover degree

文献类型： 外文期刊

第一作者： Lu, YL

作者： Lu, YL;Li, SK;Wang, JH;Xie, RZ;Huang, WJ;Gao, SJ;Liu, LY;Wang, ZJ

作者机构：

关键词： plant-type;NDVI;cover degree;LAI;wheat

期刊名称：IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings

ISSN：

年卷期： 2005 年

页码：

收录情况： SCI

摘要： Plant-type is the main influential factor to canopy spectral for its influence on canopy structure, so it is very important to identify wheat plant-type. for improving the estimating precision of leaf biochemical composition in the field by remote sensing. In this experiment, we selected ten winter wheat varieties of two plant-types and analyzed their canopy spectral reflectance (CSR), normalized difference vegetation index (NDVI), vegetation cover degree (COV) and leaf area index (LAI). The results show that varieties with lax leaves have higher canopy spectral reflectance in near infrared region than those with erect leaves from jointing to booting stage, and the differences are most obvious at jointing stage. Through changing the plant density by manual, the relationships between NDVI and COV were analyzed in different densities, and the results indicated that with COV increasing, NDVI increased but the difference between two plant-types became diminishing. COV of lax varieties is higher than that of erect ones under the same NDVI at jointing stage when their COV are low and obviously different between two plant-type varieties. Furthermore, there is significant difference of NDVI between erect and horizontal varieties (by testing, P < 0.05) at jointing stage, which proved to be the best stage to identify plant-type using NDVI and COV, for NDVI has positive correlativity with LAI.

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