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REMOTE SENSING FOR LAND & RESOURCES    2017, Vol. 29 Issue (2) : 215-220     DOI: 10.6046/gtzyyg.2017.02.31
Contents |
Comparison and application of agricultural drought indexes based on MODIS data
SONG Yang1, 2, FANG Shibo1, LIANG Hanyue1, KE Lina2
1. Institute of Ecological Environment and Agriaultural Meteorology, Chinese Academy of Meteorological Sciences, Beijing 100081, China;
2. College of Urban and Environment Sciences, Liaoning Normal University, Dalian 116029, China
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Abstract  With northwest Liaoning Province as the study area, the authors analyzed the soil moisture content by using the method of apparent thermal inertia(ATI), anomalies of vegetation index(AVI) and vegetation supply water index(VSWI). The results show that the three indexes respectively in a certain extent can reflect the drought trend of the northwest area of Liaoning Province in 2009, but inversion results are not consistent, that the monitoring effect of ATI in high vegetation coverage rate is higher than expected, more in line with historical weather data, that AVI can effectively reflect the current crop growth season relative to the drought condition, and that VSWI exaggerates the influence of vegetation, which seems to be a serious lag.
Keywords hyperspectral remote sensing      dynamic classifier selection      spatial and spectral information      multiple classifier system     
Issue Date: 03 May 2017
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SU Hongjun,LIU Hao. Comparison and application of agricultural drought indexes based on MODIS data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 215-220.
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