Reconstruction of MODIS-EVI time-series data with S-G filter
文献类型：EI期刊论文
| 作者 | Huang Yaohuan ; Wang Jianhua; Jiang Dong; Zhou Qin
|
| 发表日期 | 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 |
| 语种 | 英语 |
| 源URL | [http://159.226.115.200/handle/311030/24863]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 推荐引用方式 GB/T 7714 | Huang Yaohuan,Wang Jianhua,Jiang Dong,et al. Reconstruction of MODIS-EVI time-series data with S-G filter. 2009. |
入库方式： OAI收割
来源：地理科学与资源研究所
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