基于MODIS数据的福建省干旱遥感动态监测分析

Dynamic monitoring of drought in Fujian Province from MODIS remote sensing data

  • 摘要: 干旱是影响社会发展和农业生产的重要因素之一,利用MODIS数据和气象资料,结合福建省的地形、气候和植被覆盖条件,分别反演出2004年和2006年的归一化植被指数(NDVI),借助分裂窗法成功反演了两个时相的地表实际温度(Ts),并建立了基于植被供水指数算法(VSWI)的干旱监测模型。结果表明,对于植被覆盖率高的福建省,利用VSWI进行遥感干旱监测是可行的,MODIS数据可很好地满足大范围的实时动态监测。福建省地表干旱存在着较明显的南北区域差异,东南沿海比中西部严重,从两个时相的对比来看,干旱有加重的发展趋势,而经济发展和城市化进程是引起干旱程度加剧的重要因素。

     

    Abstract: Drought is an important influencing factor on the progress of society and agriculture. Using MODIS remotely-sensed and meteorological data for 2004~2006, the Normalized Difference Vegetation Index (NDVI) and landscape temperature (Ts) of Fujian Province were retrieved by split-windows algorithm relating to a number of factors including topography, climate and vegetation cover. A drought monitoring strategy was subsequently established by Vegetation Water Supply Index (VWSI) model. The results show that VWSI drought monitoring model application is feasible in Fujian Province, which has plentiful vegetation resources. Equally, MODIS remotely-sensed data can be used to monitor continuously large scale drought in Fujian Province. Moreover, the study reveals observable differences in drought between North and South Fujian Province, and the degree of drought on the southeast coast of Fujian is more severe than that in the midwest. Noticeably, drought in Fujian Province is worsening with the passing of time, aggravated by economic development and urbanization.

     

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