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。
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.
出处
《自然资源学报》
CSSCI
CSCD
北大核心
2000年第2期170-174,共5页
Journal of Natural Resources
基金
"九五"攀登计划资助项目 (PD95 -预 -22)
"863 -308"资助项目
中国博士后基金资助项目!(No 24)
关键词
遥感
作物光合作用
作物产量
估产模型
remote sensing
crop photosynthesis
crop yield
yield estimation model
