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根据EOS/MODIS数据,采用植被状态指数(VCI)和温度条件指数(TCI)构建干旱指数(DI)遥感监测模型,应用于2004、2005年9—11月的广西旱情监测,制作了旱情时空变化的遥感图像,并与旱情实况数据进行对比分析,验证了干旱指数DI的有效性。通过对DI与TCI、VCI、NDVI和LST的相关性分析,发现TCI、VCI比LST、NDVI与DI的相关更显著,以TCI和VCI为因子构建的DI模型更适用于桂中旱区的旱情遥感监测。
According to the EOS / MODIS data, the vegetation index (VCI) and temperature condition index (TCI) were used to construct the drought index (DI) remote sensing monitoring model, which was applied to monitoring drought in Guangxi from September to November in 2004 and 2005, The remote sensing images were compared with the real-time drought data to verify the validity of drought index DI. Through the correlation analysis between DI and TCI, VCI, NDVI and LST, it is found that the correlation between TCI and VCI is more significant than that between LST, NDVI and DI. The DI model constructed with TCI and VCI is more suitable for drought in GuiZhong arid area Remote sensing monitoring.