基于MODIS数据的大尺度干旱监测分区计算

Hongjun Li, Li Zheng, Chunqiang Li, Yuping Lei
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引用次数: 0

摘要

温度植被干燥指数(TVDI)是一种简单有效的干旱监测方法。本研究对MODIS-EVI和MODI-NDVI在两个不同时间的统计特征进行分析和比较。植被良好的地区NDVI达到饱和,而EVI则没有这样的缺点。本研究采用MODIS-EVI作为TVDI的植被指数。不同纬度、不同时间的植被指数和地表温度分析表明,地表参数具有地带性分布。因此,有必要计算具有纬向分布的TVDI。与全区域计算的TVDI相比,分带计算的TVDI提高了干湿边缘回归方程的精度,提高了TVDI与实测土壤水分的相关性,提高了遥感大尺度干旱监测的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Zonal calculation for large scale drought monitoring based on MODIS data
Temperature vegetation dryness index (TVDI) is a simple and effective methods for drought monitoring. In this study, the statistic characteristics of MODIS-EVI and MODI-NDVI at two different times were analyzed and compared. NDVI reaches saturation in well-vegetated areas while EVI has no such a shortcoming. In current study, we used MODIS-EVI as vegetation index for TVDI. The analysis of vegetation index and land surface temperature at different latitudes and different times showed that there was a zonal distribution of land surface parameters. It is therefore necessary to calculate the TVDI with a zonal distribution. Compared with TVDI calculated for the whole region, the zonal calculation of TVDI increases the accuracy of regression equations of wet and dry edge, improves the correlations of TVDI and measured soil moisture, and the effectiveness of the large scale drought monitoring using remote sensing data.
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