Evaluation of Three MODIS-Derived Vegetation Index Time Series for Dryland Vegetation Dynamics Monitoring

被引：72
|
作者：
Lu, Linlin [1 ]
Kuenzer, Claudia [2 ]
Wang, Cuizhen [3 ]
Guo, Huadong [1 ]
Li, Qingting [1 ]
机构：
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
[2] German Aerosp Ctr DLR, German Remote Sensing Data Ctr DFD, D-82234 Wessling, Germany
[3] Univ S Carolina, Dept Geog, Columbia, SC 29208 USA
来源：
REMOTE SENSING | 2015年 / 7卷 / 06期
基金：
中国国家自然科学基金;
关键词：
MODIS; vegetation index; dryland; vegetation dynamics; time series; phenology; SATELLITE DATA; CLOUD MASK; NDVI DATA; PHENOLOGY; XINJIANG; COVER; SAHEL; VARIABILITY; SAVANNA; CLIMATE;
D O I：
10.3390/rs70607597
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
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.
引用
收藏
页码：7597 / 7614
页数：18
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