Global trends in NDVI-derived parameters obtained from GIMMS data
Global trends in NDVI-derived parameters obtained from GIMMS data
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DOI：
10.1080/01431161.2010.486414
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发表时间：
2011-08
影响因子：
3.4
通讯作者：
J. Sobrino;Y. Julien
中科院分区：
文献类型：
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作者：
J. Sobrino;Y. Julien
归一化差异植被指数(NDVI)已被证明是评估世界各地植被变化的有用指标，尽管它对云或雪污染敏感。为了绘制全球尺度上的植被变化图，本研究使用了全球清查建模和测绘研究小组(GIMMS)提供的NDVI时间序列，这些时间序列每年都符合双重Logistic函数。这一拟合程序允许检索NDVI派生的参数，这些参数使用Mann-Kendall统计数据进行趋势测试。这些趋势在73个被记录为变化热点的地面控制点进行了比较，得到了验证。所获得的归一化植被指数衍生参数的趋势向遥感业界提供了关于哪些区域更容易发生变化的信息，以补充国家清单和实地工作等其他传统方法。此外，验证过程可以应用于从全局数据集获得的任何结果。
The Normalized Difference Vegetation Index (NDVI) has been proven to be useful to assess vegetation changes around the world, in spite of limitations such as sensitivity to cloud or snow contamination. In order to map vegetation changes at global scale, this study uses NDVI time series provided by the GIMMS (Global Inventory Modeling and Mapping Studies) group, which were fitted annually to a double logistic function. This fitting procedure allowed for retrieval of NDVI-derived parameters which were tested for trends using Mann–Kendall statistics. These trends were validated by comparison at 73 ground control points documented as change hotspots. The obtained trends for NDVI-derived parameters provide information to the remote sensing community on the regions more susceptible to having suffered changes, to complement other traditional methods such as national inventories and field work. Additionally, the validation procedure can be applied to any results obtained from a global dataset.