Evaluating the Utility of MODIS Vegetation Index for Monitoring Agricultural Drought
LI Hua-peng1, ZHANG Shu-qing1*, GAO Zi-qiang2, SUN Yan1
1. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China 2. Institution of Geological Surveying and Mapping of Hebei Province, Langfang 065000, China
Abstract：The exclusive shortwave bands provided by MODIS sensors offer new opportunities for agricultural drought monitoring, since they are very sensitive to vegetation moisture. In the present work, we selected Songnen Plain in Northeast China as study area aiming at monitoring agricultural drought of dry farmland here. Four types of vegetation water indices and vegetation greenness indices were calculated from the 8-day composite MODIS product (MOD09A1) in vegetation growing season between 2001 and 2010, respectively. Multi-scale standardized precipitation index (SPI) derived from precipitation data of weather stations was used as reference data to estimate drought sensitivity of various vegetation indices, and a pixel-to-weather station paired correlation approach was used to calculate the Pearson correlation coefficient between vegetation index and SPIs. The result indicated that vegetation water indices established by near infrared and shortwave infrared bands outperformed vegetation greenness indices based on visible and near infrared bands. Of these indices, NDII7 performs the best with highest correlation coefficients across all SPIs. The authors’ results demonstrated the potential of MODIS shortwave spectral bands in monitoring agricultural drought, and this provides new insights to future research.
Key words：MODIS data;Shortwave infrared spectral;Visual and infrared spectral;Agricultural drought;Vegetation water index
李华朋1，张树清1*，高自强2，孙 妍1 . MODIS植被指数监测农业干旱的适宜性评价 [J]. 光谱学与光谱分析, 2013, 33(03): 756-761.
LI Hua-peng1, ZHANG Shu-qing1*, GAO Zi-qiang2, SUN Yan1 . Evaluating the Utility of MODIS Vegetation Index for Monitoring Agricultural Drought. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(03): 756-761.
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