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李卫国,王纪华,赵春江,刘良云,童庆禧.基于定量遥感反演与生长模型耦合的水稻产量估测研究[J].农业工程学报,2008,24(7):128-131.DOI:
基于定量遥感反演与生长模型耦合的水稻产量估测研究
投稿时间:2007-10-17  修订日期:2008-06-04
中文关键词:  遥感  反演  生长模型  水稻产量  估测
基金项目:国家自然科学基金项目(40701119);国家863计划项目(2007AA10Z201、2008AA10Z214)和青年基金资助
作者单位
李卫国 1.中国科学院遥感应用研究所北京 1001011 2.国家农业信息化工程技术研究中心北京 1000893.江苏省农业科学院农业资源与环境所南京 210014 
王纪华 国家农业信息化工程技术研究中心北京 100089 
赵春江 国家农业信息化工程技术研究中心北京 100089 
刘良云 国家农业信息化工程技术研究中心北京 100089 
童庆禧 中国科学院遥感应用研究所北京 1001011 
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中文摘要:作物遥感估产是农业遥感技术应用与研究的重点领域。在黑龙江省不同的种植区域下,采用GPS定位调查、定量遥感反演与产量形成过程模型相偶合的研究方法,进行了水稻产量估测研究。结果显示,水稻产量的预测值在6740~9600 kg/hm2之间,实测值在6500~9500 kg/hm2之间,二者总体上表现较为一致,预测水稻产量的RMSE为494.62 kg/hm2,相对误差在0.23%~12.39%之间,平均为5.13%。表明采用定量遥感反演与生长模型耦合的模式可以对不同区域的水稻产量形成情况进行监测预报。
Li Weiguo,Wang Jihua,Zhao Chunjiang,Liu Liangyun,Tong Qingxi.Estimating rice yield based on quantitative remote sensing inversion and growth model coupling[J].Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2008,24(7):128-131.DOI:
Estimating rice yield based on quantitative remote sensing inversion and growth model coupling
Author NameAffiliation
Li Weiguo 1. Institute of Remote sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
2. National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China
3. Institute of Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China 
Wang Jihua National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China 
Zhao Chunjiang National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China 
Liu Liangyun National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China 
Tong Qingxi Institute of Remote sensing Applications, Chinese Academy of Sciences, Beijing 100101, China 
Key words:remote sensing  inversion  growth model  rice yield  estimation
Abstract:Estimating crop yield using remote sensing is a key research and application field in agricultural remote sensing. Using the research method of GPS positioning survey, quantitative remote sensing inversion and growth models coupling, the authors estimated rice yield under specific environment conditions in different planting areas of Heilongjiang Province in Northeast China. The results show that estimated rice yield of 6740~9600 kg/hm2 was consistent with the measured yield of 6500~9600 kg/hm2, and their RMSE and average relative error were 494.62 kg /hm2 and 5.13% with the range of 0.23%~12.39%, respectively. The coupling model may be applicable for rice yield estimation under different environment conditions. Yet, more experiment data in different eco-environmental conditions are required for wide test of the present model.
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