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遥感信息结合光合特性研究作物光合产量估测模型
A study of crop yield estimation model based on remote sensing information and crop photosynthesis
【摘要】 从遥感信息参数和植物生理生态参数出发 ,建立了遥感—光合作物产量机理模型(RSPCYM) ,其中包括直接以遥感信息获取吸收光合有效辐射 (APAR),将用以完整表示作物生育期中光合时间的作物光合同化势 (CPAP)引入到遥感—光合作物产量模型中,同时利用遥感信息求算作物光合速率 ,进而建立遥感—光合作物产量模型。将建立的模型用于典型区域的冬小麦作物产量估测研究中 ,表明发展的模型有可比的精度。
【Abstract】 Considering the parameters of remote sensing information and plant eco physiological characteristics,the crop yield estimation model was set up based on remote sensing information and plant photosynthesis model.Among them,Absorbed Photosynthetic Active Radiation(APAR),Crop Photosynthetic Assimilation Potential(CPAP) reflecting crop photosynthetic time,and photosynthetic rate were calculated by remote sensing information and meteorological data.In the typical regional research area,the model has been applied to study regional crop yield distributions and the result shows the model has better precision.
【Key words】 remote sensing; crop photosynthesis; crop yield; yield estimation model;
- 【文献出处】 自然资源学报 ,JOURNAL OF NATURAL RESOURCES , 编辑部邮箱 ,2000年02期
- 【分类号】S165.27
- 【被引频次】26
- 【下载频次】351