| 光谱学与光谱分析 |
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| Monitoring Winter Wheat Population Dynamics Using an Active Crop Sensor |
| WU Jun-hua1, YUE Shan-chao1, HOU Peng1, MENG Qing-feng1, CUI Zhen-ling1, LI Fei1, 2*, CHEN Xin-ping1 |
1. College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
2. College of Ecology and Environmental Science, Inner Mongolia Agricultural University, Huhhot 010019, China |
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Abstract Tiller density plays an important role in attaining optimum grain yield and applying topdressing N in winter wheat. However, the traditional approach based on determining tiller density is time-consuming and labor-intensive. As technology advances, remote sensing might provide an opportunity in eliminating this7 problem. In the present paper, an N rate experiment and a variety-seeding and sowing dates experiment were conducted in Quzhou County, Hebei Province in 2008/2009 to develop the models to predict the amount of winter wheat tillers. Positive linear relationships between vegetation indices and tillers were observed across growth stages (R2, 0.25～0.64 for NDVI; 0.26～0.65 for RVI). The validation results indicated that the prediction using NDVI had the higher coefficient of determination (R2, 0.54～0.64), the lower root mean square error (RMSE, 260～350 tillers m-2) and relative error (RE, 16.3%～23.0%) at early growth stages of winter wheat. We conclude that active GreenSeeker sensor is a promising tool for timely monitoring of winter wheat tiller density.
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Received: 2010-04-23
Accepted: 2010-08-08
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Corresponding Authors:
LI Fei
E-mail: feili72@163.com
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