摘要
以内蒙古自治区赤峰市克斯克腾旗贡尔大草原为研究对象,利用HJ-IA的CCD数据进行叶面积指数反演。采用辐射传输模型PROSPECT和SAIL模型,根据贝叶斯理论回归反演LAI,获取LAI反演效果图。同时利用同步野外实测地面数据对反演LAI进行检验,发现两者存在较好的一致性,相关系数达0.696。最后对误差进行分析。结果表明,利用HJ-IA的CCD数据反演LAI,可较好地反映地面状况,具有较高的应用价值和广阔的应用前景。
With Gonger prairie of Kesiketeng flag of Chifeng City in Inner Mongolia autonomous region as research object,the CCD data of HJ-IA was used for inversion of leaf area index（LAI）.On the basis of Bayes theory,by using radiative transfer model PROSPECT and SAIL model,the inversion effect chart of LAI was obtained through regression inversion of LAI.Simultaneously,the inversed LAI was tested using wild synchronous determined ground data.It was found that the observed and inversed LAI possessed better consistency and their correlation coefficient was up to 0.696.The error was analyzed finally.The results showed that the inversion of LAI using the CCD data of HJ-IA could reflect ground condition better and it possessed higher application value and broad application prospect.
出处
《安徽农业科学》
CAS
北大核心
2011年第8期5012-5015,共4页
Journal of Anhui Agricultural Sciences
基金
科技部中奥合作项目(2008DFA21540)
国家863项目(2008AA121501-2)
中匈政府间科技合作项目(国科外字[20008]333号)
