Reconstruction of global MODIS NDVI time series: Performance of Harmonic ANalysis of Time Series (HANTS)
文献类型：期刊论文
| 作者 | Zhou, Jie1; Jia, Li1; Menenti, Massimo1 |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2015 |
| 卷号 | 163页码:8387-8404 |
| 关键词 | Time series reconstruction HANTS NDVI |
| 通讯作者 | Jia, L (reprint author), Inst Remote Sensing & Digital Earth, CAS Olymp S&T Pk,20 Datun Rd,POB 9718, Beijing 100101, Peoples R China. |
| 英文摘要 | The harmonic analysis of time series (HANTS) algorithm has been widely used to reconstruct time series of normalized difference vegetation index (NDVI), Leaf area index (LAI), and land surface temperature (LST) as well as the polarization difference brightness temperature (PDBT) during the past 20 years to remove random noise or eliminate cloud/snow contamination. So far no systematic study on the accuracy of such reconstruction has been done. This study aims at taking the global MODIS vegetation index as an example to develop a generic method to evaluate the reconstruction performance of HANTS. The overall reconstruction error was divided into gap related error and fitting-method related error. Firstly, ten annual NDVI time series for a pixel were used to extract reference series and gap statistics. Then the gap and fitting-method related errors were quantified independently. The results suggest that the gap related error for most of the high latitude forest area (between 50 degrees N and 70 degrees N) was rather large (the mean root mean squared deviation (RMSD) reached to 0.15), which may be attributed to the fact that large gaps appear in the NDVI profiles between snow melting and vegetation regreening season. The gap related error was found negligible for the other areas of the globe except the North China Plain, the North India and several mountainous areas where the mean RMSD is around 0.1. The inadequate capability of low frequency harmonics to capture the rapid transition during snowmelt in spring at the high latitude region of the North Hemisphere makes the fitting-method related error in this region rather large (RMSD can reach 0.1). The method developed in this study was applied to map globally the spatial pattern of HANTS performance in the reconstruction of NDVI time series and it can also be applied to evaluate the reconstruction performance of time series of other land surface variables or the performance of other time series reconstruction algorithms. (C) 2015 Elsevier Inc. All rights reserved. |
| 研究领域[WOS] | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000355771300019 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38172]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Zhou, Jie 2.Jia, Li 3.Menenti, Massimo] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 4.[Zhou, Jie 5.Jia, Li] Joint Ctr Global Change Studies, Beijing 100875, Peoples R China 6.[Zhou, Jie 7.Menenti, Massimo] Delft Univ Technol, Delft, Netherlands 8.[Zhou, Jie] Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Jie,Jia, Li,Menenti, Massimo. Reconstruction of global MODIS NDVI time series: Performance of Harmonic ANalysis of Time Series (HANTS)[J]. REMOTE SENSING OF ENVIRONMENT,2015,163:8387-8404. |
| APA | Zhou, Jie,Jia, Li,&Menenti, Massimo.(2015).Reconstruction of global MODIS NDVI time series: Performance of Harmonic ANalysis of Time Series (HANTS).REMOTE SENSING OF ENVIRONMENT,163,8387-8404. |
| MLA | Zhou, Jie,et al."Reconstruction of global MODIS NDVI time series: Performance of Harmonic ANalysis of Time Series (HANTS)".REMOTE SENSING OF ENVIRONMENT 163(2015):8387-8404. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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