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Comparison of two methods for estimation of leaf total chlorophyll content using remote sensing in wheat

文献类型： 外文期刊

作者： Jin, Xiu-liang 1 ; Wang, Ke-ru 1 ; Xiao, Chun-hua 3 ; Diao, Wan-ying 3 ; Wang, Fang-yong 4 ; Chen, Bing 4 ; Li, Shao-k 1 ;

作者机构： 1.Chinese Acad Agr Sci, Inst Crop Sci, Key Lab Crop Physiol & Prod, Minist Agr, Beijing 100081, Peoples R China

2.Yangzhou Univ, Key Lab Crop Genet & Physiol Jiangsu Prov, Yangzhou 225009, Peoples R China

3.Key Lab Oasis Ecol Agr Xinjiang Construct Crops, Shihezi 832003, Peoples R China

4.Xinjiang Acad Agr Reclamat Sci, Inst Cotton, Shihezi 832000, Peoples R China

关键词： Leaf total chlorophyll content;Stepwise regression methods;Spectral parameters;Biomass dry weight

期刊名称：FIELD CROPS RESEARCH （ 影响因子：5.224； 五年影响因子：6.19 ）

ISSN： 0378-4290

年卷期： 2012 年 135 卷

页码：

收录情况： SCI

摘要： Leaf total chlorophyll content (LTCC) is an important indicator for assessment of crop health and prediction of crop yield. The objective of this study was to develop a precise agricultural practice that could estimate wheat LTCC. In this study, we compared two methods of LTCC estimation: one method used the products of spectral parameters and biomass dry weight (BOW), and the other method used stepwise regression methods (SRM). We selected the highest determination coefficient (R-2) simulation model to improve prediction accuracy. The results showed that for the mND705 x BOW index, the R-2 was 0.9639 and the root mean square error (RMSE) was 0.202 g/m(2). For the 3.575Red edge model-1.118PSSRb index, the R-2 was 0.868 and RMSE was 0.384 g/m(2). The mND705 x BDW index accounted for 96.39% of LTCC, while the 3.575Red edge model-1.118PSSRb accounted for 86.8% of LTCC. Further, the RMSE of mND705 x BDW was lower than that of 3.575Red edge model-1.118PSSRb for predicting LTCC. The results indicated that the spectral parameters x BOW methods, in which spectral parameters defection was improved, was superior to SRM. (C) 2012 Elsevier B.V. All rights reserved.

  • 相关文献

[1]Comparison of two methods for monitoring leaf total chlorophyll content (LTCC) of wheat using field spectrometer data. Jin, X.,Wang, K.,Li, S.,Jin, X.,Diao, W.,Xiao, C.,Wang, K.,Li, S.,Wang, F.,Chen, B..

[2]Estimated Nitrogen Nutrition Index Based on the Hyperspectral for Wheat of Drip Irrigation under Mulch. Diao Wan-ying,Li Shao-kun,Wang Ke-ru,Jin Xiu-liang,Wang Qiong,Wang Kai,Xiao Chun-hua,Li Shao-kun,Wang Ke-ru,Xiao Chun-hua,Jin Xiu-liang,Wang Fang-yong,Chen Bing. 2012

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