Using Multi-source Remote Sensing Data To Research The Temporal And Spatial Distribution Of Sichuan Province Drought In Recent Years

In recent years, Sichuan Province have happened frequent droughts and lasted for a long time, the affected area is broad, therefore causing great losses to agricultural production and national economy. In view of the above situatio n, this paper firstly combined with Modis data and the domestic Fengyun satelli te data, exert the advantages of the two high spatial resolution and high time resolution, in order to provide fast and accurate result in drought, when monitori ng drought in the development process of regression of drought. Therefore, this paper improved the temperature vegetation drought index(TVDI), construct the temperature vegetation drought condition index(STVDI), using month synthetic LST surface temperature product and month vegetation index(NDVI). At the sam e time, estimation of precipitation state index calculation combined with SPRE qu antitative precipitation Fengyun geostationary meteorological satellite, construct th e weighted linear combination model, which is normalized drought index(STVP I), integrated meteorological drought index weights through and over the same per iod(CI) to determine the correlation. Taking STVPI as the drought monitoring ind ex, Analysisof Sichuan Province in the summer of 2006 summer drought and wint er drought in 2009-2010,the monitoring results show that the 2006 summer drou ght mainly in Sichuan Basin, Suining city and Nanchong city is the most seriou s, has become the hardest hit by the drought; In 2009-2010 winter drought mainl y in Panxi area, to climb the South Xishan District, Panzhihua,Huili,Huidong an d other places, the most serious, the drought began easing from 2009 Novembe r until 2010 April, Huili, Dechang, Xichang,Panzhihua has become the hardest hit by the drought. Secondly, in order to further analysis of summer drought in 2006 and 2009-2010 winter drought disaster area, using Landsat data, we calculate th e vegetation index NDVI, at the same time, through the two development functio n of ENVI, the programming of the mono window algorithm for retrieving land surface temperature, and gives the corresponding surface temperature inversion pro cess, realize the integration tool the direct use of Landsat data for land surface t emperature retrieval. The drought monitoring in summer of 2006 summer drought and winter drought in 2009-2010 years of drought disaster, the monitoring results show that, by using the results of the drought monitoring using Landsat data an d Modis data of the evolution of the evolution of drought monitoring results were similar, and because of the improvement of resolution, the monitoring results m ore precise; Suining and Nanchong drought trend is consistent,in May drought b egan to develop, drought reached its peak in October and drought eased away in August; The Panxi Mountain Area hardest drought area is mainly distributed in the Jinsha River,Yalong River and Anning River dry hot valley areas of Decha ng,Huili, Panzhihua, Xichang, where the southern Panzhihua, and much of the a rea of huili and southern Huidong drought is the most serious and lasted for a l ong time.