摘要
以内蒙古河套地区解放闸灌域为研究区域,应用光能利用效率和多时相遥感数据,构建遥感估产模型,讨论了玉米各生育期干物质积累量的差异性,并利用地面实测产量数据与遥感估产模型数据进行对比分析。结果表明:玉米拔节期的干物质积累量最大,占总量的40%;根据玉米各生长期干物质积累量的差异,能够获得玉米产量的主要生态障碍因素和提高产量的方法;地面实测产量数据与对应遥感估产模型数据具有较好的相关性,相关系数达到0.853,并通过了0.01信度检验。因此,基于光能利用效率和多时相遥感构建估产模型用于春玉米估产是可行、有效的。
In order to develop highly accurate model for crop yield estimation,an approach of retrieving re- gional crop yield was studied by Radiation Use Efficiency （RUE） and remote sensing data,the Jifangzha irrigation is of Hetao irrigation district of Inner Mongolia Autonomous Region was selected as a research case. Based on this model,the difference of the Dry Matter Accumulation （DMA） between the maize＇s different growing stages is made and a comparative analysis of the measured yields,and the predicted results based on this model. The results show that the DMA of the maize＇s jointing stage is maximal,about 40% of total amount. The measured yield and the predicted ones based on the model has a greater correlation, the Correlation Coefficient was 0. 853 and passed the reliability of 0.01. The difference of the DMA in different growing stages showed that the sensitive degree was displayed between main growing stages and yield,and that were some key aspects：the main limiting factor in growing stages and raising yield. These results indicate the model for spring maize yield estimation is feasible and effective hased on the RUE and multi-temporal remotely sensing data.
出处
《遥感技术与应用》
CSCD
北大核心
2013年第5期824-830,共7页
Remote Sensing Technology and Application
基金
国家十二五科技支撑计划课题(2011BAD25B05)
江苏省水利动力工程重点实验室开放课题(K100020
K11022)
关键词
光能利用效率
春玉米
估产模型
河套灌区
Radiation use efficiency
Spring maize
Simulation model
Hetao irrigation district
