Research on the Remote Sensing Methods for Drought Monitoring in Chongqing
There are regional and periodic droughts in Chongqing, which impacted seriously on agricultural production and peoples lives. This study attempted to monitor the drought in Chongqing with complex terrain using MODIS data. First, we analyzed and compared three remote sensing methods for drought monitoring (time series of vegetation index, temperature vegetation dryness index (TVDI), and vegetation supply water index (VSWI)) for the severe drought in 2006. Then we developed a remote sensing based drought monitoring model for Chongqing by combining soil moisture data and meteorological data. The results showed that the three remote sensing based drought monitoring models performed well in detecting the occurrence of drought in Chongqing on a certain extent. However, Time Series of Vegetation Index has stronger sensitivity in time pattern but weaker in spatial pattern; although TVDI and VSWI can reflect inverse the whole process of severe drought in 2006 summer from drought occurred – increased – relieved-increased again-complete remission in spatial domain, but TVDI requires the situation of extreme drought and extreme moist both exist in study area which it is more difficult in Chongqing; VSWI is simple and practicable, which the correlation coefficient between VSWI and soil moisture data reaches significant levels. In summary, VSWI is the best model for summer drought monitoring in Chongqing.
MODIS Drought monitoring Time Series of Vegetation Index TVDI VSWI
Shiqi Yang Yunhui Tang Yanghua Gao Yongjin Xu
Chongqing Institute of Meteorological Science, Chongqing, 401147 School of Geographical Sciences, Southwest University, Chongqing 400715, China
国际会议
桂林
英文
1-8
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）