摘要
为有效地整合利用不同分辨率遥感数据获取的陆面过程以及其他相关的环境变量,尺度问题越来越受到人们的重视。本文选取汉江流域为研究区,尝试对TM/ETM+影像反演的LAI升尺度转换,使用了一种基于NDVI像元分解的LAI升尺度转换算法,分两步考虑了地表异质性问题,很好的实现了900×1500大小实验区30m空间精度LAI的向120m,300m,900m,3600m四种尺度的转换,该方法应用于整个汉江流域NASA发布的MODIS LAI产品校正,取得了良好效果。
In order to effectively integrate various land-surface processes and environmental variables retrieved from different spatial resolution remotely sensed images, the scaling issues induced, while transferring data from one resolution to another, have drawn more and more attention. Taking the Hanjiang River Basin as the study site, using the LAI （Leaf Area Index） map derived from the Landsat TM/ETM＋ images and NASA published MODIS LAI product of the study region as the data source, an experimental study was conducted with the final goal of establishing a new and much effective up scaling scheme. A newly proposed LAI up scaling algorithm in this study, based on pixel decomposing of the NDVI accounting for terrain heterogeneity in two key procedures, was successfully employed for the up scaling of 30m spatial resolution LAI to 120m, 300m, 900m, 3600m resolution in the 900 ＊ 1500 pixels experimental area. This algorithm was used to correct NASA published MODIS LAI product and excellent results were obtained, which was back up with the fact that the corrected MODIS LAI product well consistent with the high spatial resolution LAI map in Hanjiang River Basin.
出处
《遥感信息》
CSCD
2008年第2期25-30,共6页
Remote Sensing Information
基金
国家发展基础规划项目(973)课题编号2006CB400502,2001CB309404
中科院“百人计划”择优支持项目(8-047401)
教育部重点科技项目的联合资助
