Reconstruction of MODIS-EVI time-series data with S-G filter | |
Jiang Dong![]() ![]() | |
2009 | |
关键词 | Vegetation |
英文摘要 | Vegetation index data has been widely used in kinds of research regarding global environmental change. Although EOS provides some kinds of VI data derived from AQUA/MODIS, residual noise still exists for the reason of cloud contamination, atmospheric variability, and some effect. Hence, the VI data is always discontinuity both in space and time, which is the main reason of the following errors. We reconstruct the MOD13A2-EVI time-series data from the year of 2001 to 2007 based on savitzky-golay filter using IDL. The reconstructed EVI data reduces the effect of cloud and some abnormal noises, makes the data more unanimous in space and more steady between years. |
出处 | Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University
![]() |
卷 | 34期:12页:1440-1443 |
收录类别 | EI |
语种 | 英语 |
内容类型 | EI期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/24863] ![]() |
专题 | 资源利用与环境修复重点实验室_资源地理与国土资源研究室_SCI/SSCI期刊论文 |
推荐引用方式 GB/T 7714 | Jiang Dong,Huang Yaohuan. Reconstruction of MODIS-EVI time-series data with S-G filter. 2009. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论