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| 基于MODIS数据的中国陆面制图：方法软件和数据产品 | |
| 引用本文： | 刘荣高,刘纪远,梁顺林,陈镜明,庄大方.基于MODIS数据的中国陆面制图：方法软件和数据产品[J].遥感学报,2007,11(5):718-726. |
| 作者姓名： | 刘荣高 刘纪远 梁顺林 陈镜明 庄大方 |
| 作者单位： | 1. 中国科学院,地理科学与资源研究所,中国 2. 马里兰大学,地理系,美国 3. 多伦多大学,地理系,加拿大 |
| 基金项目： | 国家自然科学基金;国家重点基础研究发展计划(973计划) |
| 摘 要： | 本文介绍一个自动处理MODIS 1B数据并生产覆盖全中国陆面产品的软件系统。该算法改进了LAI（MOD15）,土地覆被分类（MOD12）,云检测（MOD35）,陆面反射率（MOD09）和气溶胶（MOD04）产品。这些算法的输入数据都是本地获取的参数,能够有效降低其带来的不确定性。产生的部分新产品是NASA标准产品中没有的,包括森林火烧迹地和PAR。数据处理系统运行于中国科学院资源与环境数据中心。 |
| 关 键 词： | 数据处理系统 遥感 |
| 文章编号： | 1007-4619（2007）05-0718-09 |
| 修稿时间： | 2006-08-10 |
Mapping China Using MODIS Data. Methods, Software and Products |
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| LIU Rong-gao,LIU Ji-yuan,LIANG Shun-lin,CHEN Jing-ming and ZHUANG Da-fang.Mapping China Using MODIS Data. Methods, Software and Products[J].Journal of Remote Sensing,2007,11(5):718-726. | |
| Authors: | LIU Rong-gao LIU Ji-yuan LIANG Shun-lin CHEN Jing-ming and ZHUANG Da-fang |
| Institution: | 1. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, China; 2. Department of Geography, University of Maryland, USA ; 3. Department of Geography and Program in Planning, University of Toronto, Canada |
| Abstract: | This paper presents a software system, MODISoft, which can process MODIS 1B data automatically to generate various products covering the whole China. Some new algorithms were proposed to overcome the shortcomings of NASA MODIS standard products. The strength of the LAI retrieval method is that it avoids using two incompatible methods in NASA LAI product. The algorithm for estimating both land surface reflectance and aerosol optical depth is based on mutli-teinporal observations and produces more accurate products. The cloud mask algorithm detects low clouds better. Some of key inputs for these algorithms are localized over China. This system also produces some new products that are not available in the standard NASA product suite, including the forest burned scar and PAR. The data processing system is operationally run in the National Scientific Data Center for Resources and Environment, Chinese Academy of Sciences. |
| Keywords: | MODIS MODIS data processing system remote sensing |
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