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以陕西省为研究区域,利用2005年4月的MODIS月合成产品数据MODIS11C3和MO-DIS13C3获取的归一化植被指数NDVI、增强型植被指数EVI和陆地表面温度LST,分别构建TS-NDVI和TS-EVI特征空间,从而得到了条件温度植被干旱指数TVDI和旱情等级的空间分布图,以监测评价陕西的旱情,同时将两者进行比较,最后结合94个气象站的气温和降水距平进行了相关性分析。结果表明:利用条件温度植被干旱指数进行陕西省旱情监测,能够较好反映当地旱情。根据地表温度以及增强植被指数之间的关系建立的旱情监测模型与降水距平的线性相关显著,相关系数为0.537,通过了0.05水平的检验。
Taking Shaanxi Province as the research area, the normalized NDVI, enhanced vegetation index (EVI) and land surface temperature (LST) obtained from April MODIS monthly synthetic product data MODIS11C3 and MO-DIS13C3 were used to construct TS-NDVI and TS -EVI feature space, the spatial distribution maps of conditional drought vegetation index TVDI and drought level were obtained to monitor and evaluate the drought in Shaanxi Province. At the same time, the comparison was made between the two. Finally, based on the temperature and precipitation anomalies of 94 weather stations Correlation analysis. The results showed that the drought drought monitoring based on conditional temperature and vegetation index could reflect the local drought better. The linear correlation between drought monitoring model and precipitation anomaly based on the relationship between surface temperature and enhanced vegetation index was significant, with a correlation coefficient of 0.537 and a 0.05 level test.