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Monitoring Main Growth Status Parameters at Jointing Stage in Winter Wheat Based on Landsat TM Images

TAN Chang-wei; WANG Ji-hua; ZHU Xin-kai; WANG Yan; WANG Jun-chan; TONG Lu; GUO Wen-shan   

  1. 1、College of Agronomy, Yangzhou University/Key Laboratory of Crop Physiology, Ecology and Cultivation in Middle and Lower Reaches of Yangtse River of Ministry of Agriculture/Key Laboratory of Crop Genetics and Physiology of Jiangsu Province, Yangzhou 225009, Jiangsu；
    2、National Engineering Research Center for Information Technology in Agriculture, Beijing 100097
  • Received:2010-07-15 Online:2011-04-02 Published:2010-09-17

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Abstract: 【Objective】As the growth status of winter wheat has an important effects on grain quality, the mechanism of monitoring winter wheat growth status using remote sensing technology should be further strengthened, thus the growing information could be provided for field production management in wheat growth season.【Method】The experiment was carried out in Jiangsu province in wheat growth season during 2007-2009 to monitor the main growth status parameters at jointing stage with landsat TM images. In the experiment, 431 points have been acquired to determin the main growth status paramenters. The satellite remote sensing data were used to monitor winter wheat growth status. The relationships between the main growth status parameters, grain quality and yield parameters at jointing stage, and between main growth status parameters and satellite remote sensing variables were analyzed. Through comparing the correlation between different remote sensing variables and main growth status parameters, some variables were chosed. The quantitative relationship models were established to monitor SPAD, biomass, LAI and LNC in winter wheat using remote sensing spectral variables derived from landsat TM images,and then the established models were evaluated by coefficient of determination (R2) and root mean square error (RMSE).【Result】At wheat jointing stage, it was feasible to monitor wheat SPAD, biomass, LAI and LNC by using the satellite remote sensing variables of B5, NDVI, DSW5 and B2, respectively. After the precision of the monitoring models tested by using independent datasets in 2007 and 2008, the models could be utilized to accurately monitor the main growth status parameters in winter wheat. Based on the monitoring models, the thematic maps were producted to monitor SPAD, biomass, LAI and LNC under different grades at jointing stage with remote sensing, so as to realize the spatial quantization expression of monitored main growth status parameters.【Conclusion】The results have provided timely agricultural information for the agronomists, agricultural sector decision makers and field managers, and is convenient to make field management measures in time.

Key words: winter wheat , Landsat TM images , jointing stage , main growth status parameters , monitoring model

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