Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index products for monitoring drought in the southern Great Plains, USA
Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index products for monitoring drought in the southern Great Plains, USA
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DOI：
10.1080/0143116031000115328
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发表时间：
2004-01
影响因子：
3.4
通讯作者：
Z. Wan;P. Wang;X. Li
中科院分区：
文献类型：
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作者：
Z. Wan;P. Wang;X. Li
利用中分辨率成像光谱仪（MODIS）、归一化植被指数（NDVI）和地表温度（LST）产品，开发了一种近实时干旱监测方法。该方法被称为植被温度条件指数（VTCI），它集成了地表反射率和热特性。VTCI定义为在足够大的研究区域中具有特定NDVI值的像素之间LST差异的比率;分子是像素的最大LST与一个像素的LST之间的差异;分母是像素的最大LST与最小LST之间的差异。VTCI在干旱条件下较低，在潮湿条件下较高。使用覆盖美国大平原南部德克萨斯州和俄克拉荷马州部分地区的研究区域的地面测量降水数据来验证干旱监测方法。VTCI与月总降水量和距平月降水量之间的线性相关分析表明，VTCI不仅与近期降水事件密切相关，而且与历史降水量也密切相关，表明VTCI是一种较好的近实时干旱监测方法。
A near-real time drought monitoring approach is developed using Terra–Moderate Resolution Imaging Spectoradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) products. The approach is called Vegetation Temperature Condition Index (VTCI), which integrates land surface reflectance and thermal properties. VTCI is defined as the ratio of LST differences among pixels with a specific NDVI value in a sufficiently large study area; the numerator is the difference between maximum LST of the pixels and LST of one pixel; and the denominator is the difference between maximum and minimum LSTs of the pixels. VTCI is lower for drought and higher for wet conditions. The ground-measured precipitation data from a study area covering parts of the states of Texas and Oklahoma in the southern Great Plains, USA, are used to validate the drought monitoring approach. Linear correlation analysis between VTCI, and total monthly precipitation and departure from normal monthly precipitation shows that VTCI is not only closely related to recent rainfall events but also related to past rainfall amounts, and indicates that VTCI might be a better and a near-real time drought monitoring approach.