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作物长势监测系统(CGMS)在黑龙江省的应用 被引量:18

Validation of Crop Growth Monitoring System (CGMS) in Heilongjiang Province
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摘要 利用黑龙江省实测气象资料以及玉米、大豆、水稻和春小麦的实测资料对作物生长监测预报模式(CGMS)中四大主要作物的重要参数进行修正和参数分区处理,并利用不同模型对各县(市)2003年的作物产量进行了监测预报,检验分析结果证明预报效果较好,准确度较高,CGMS在黑龙江省粮食监测和预报中具有理论研究和实际应用价值。 Based on the observed climate and crop data in the Heilongjiang Province, the important parameters for maize, soybean, paddy rice and spring wheat in the Crop Growth Monitoring System(CGMS)were validated and classified. The different models were used to monitor and predict the crop yields for 2003 in the different counties. The validation results showed that the CGMS had a good predictive effect with a relative high accuracy, and was valuable to monitor and predict the food crop yields both in theoretical reaearch and practical application.
出处 《中国农业气象》 CSCD 2005年第3期155-157,共3页 Chinese Journal of Agrometeorology
基金 中比科技合作项目"比较 适用和提高中比作物长势监测系统"
关键词 作物长势监测系统(CGMS) 黑龙江省WOFOST模型 遥感预测 Crop Growth Monitoring System (CGMS) Heilongjiang Province WOFOST model Remote sensing prediction
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参考文献3

  • 1Decrem M, Buffet D,Oger R. Adaptation of B-CGMS crop growth simulation model to the Heilongjiang province conditions an exploratory study to improve predictive capacity of B-CGMS using additional climate variables. in: the comparison, adaptation and improvement of the Belgian and Chinese Crop Growth Monitoring Systems. Mid-Term Meeting Proceedings, Tychon B. (ed.), Fondation Universitaire Luxembourgeoise. 2002:27-40.
  • 2Monteith J.Solar radiation and productivity in tropical ecosystems[J]. Journal of Applied Ecology, 1972,19:747-766.
  • 3Myneni R, Williams D. On the relationship between fAPAR and NDVI[J]. Remote Sensing of Environment, 1994,19:200-211.

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