Evaluation of Three MODIS-Derived Vegetation Index Time Series for Dryland Vegetation Dynamics Monitoring
文献类型：期刊论文
| 作者 | Lu, Linlin1; Kuenzer, Claudia1; Wang, Cuizhen1; Guo, Huadong1; Li, Qingting1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2015 |
| 卷号 | 7期号:6页码:119-140 |
| 关键词 | MODIS vegetation index dryland vegetation dynamics time series phenology |
| 通讯作者 | Lu, LL (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Key Lab Digital Earth Sci, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China. |
| 英文摘要 | Understanding the spatial and temporal dynamics of vegetation is essential in drylands. In this paper, we evaluated three vegetation indices, namely the Normalized Difference Vegetation Index (NDVI), the Soil-Adjusted Vegetation Index (SAVI) and the Enhanced Vegetation Index (EVI), derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) Surface-Reflectance Product in the Xinjiang Uygur Autonomous Region, China (XUAR), to assess index time series' suitability for monitoring vegetation dynamics in a dryland environment. The mean annual VI and its variability were generated and analyzed from the three VI time series for the period 2001-2012 across XUAR. Two phenological metrics, start of the season (SOS) and end of the season (EOS), were detected and compared for each vegetation type. The mean annual VI images showed similar spatial patterns of vegetation conditions with varying magnitudes. The EVI exhibited high uncertainties in sparsely vegetated lands and forests. The phenological metrics derived from the three VIs are consistent for most vegetation types, with SOS and EOS generated from NDVI showing the largest deviation. |
| 研究领域[WOS] | Remote Sensing |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000357590300004 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38178]  |
| 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.[Lu, Linlin 2.Guo, Huadong 3.Li, Qingting] Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 4.[Kuenzer, Claudia] German Aerosp Ctr DLR, German Remote Sensing Data Ctr DFD, D-82234 Wessling, Germany 5.[Wang, Cuizhen] Univ S Carolina, Dept Geog, Columbia, SC 29208 USA |
| 推荐引用方式 GB/T 7714 | Lu, Linlin,Kuenzer, Claudia,Wang, Cuizhen,et al. Evaluation of Three MODIS-Derived Vegetation Index Time Series for Dryland Vegetation Dynamics Monitoring[J]. REMOTE SENSING,2015,7(6):119-140. |
| APA | Lu, Linlin,Kuenzer, Claudia,Wang, Cuizhen,Guo, Huadong,&Li, Qingting.(2015).Evaluation of Three MODIS-Derived Vegetation Index Time Series for Dryland Vegetation Dynamics Monitoring.REMOTE SENSING,7(6),119-140. |
| MLA | Lu, Linlin,et al."Evaluation of Three MODIS-Derived Vegetation Index Time Series for Dryland Vegetation Dynamics Monitoring".REMOTE SENSING 7.6(2015):119-140. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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