ANALYSIS OF SPATIAL AND TEMPORAL CHARACTERISTICS OF DROUGHT AND FLOOD BASED ON PRECIPITATION TEMPERATURE INDEX AT WINTER WHEAT GROWTH STAGES
文献类型： 会议论文
第一作者： Miao Tian
作者： Miao Tian 1 ; Jing Wang 1 ;
作者机构： 1.Institute of Agricultural Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
关键词： Remote Sensing;Precipitation Temperature Index;Winter Wheat;Drought and Flood
会议名称： Asian conference on remote sensingACRS
主办单位：
页码： 1849-1853
摘要： Drought and flood disasters are the main meteorological disasters in China. Based on vegetation index (VI) and land surface temperature (LST) retrieved by optical remote sensing data for drought and flood disaster monitoring has a lag in time, precipitation data can reflect the surface dry and wet state more timely and intuitively. Current methods to monitoring drought and flood disasters based on precipitation extreme rely primarily on point-based in situ meteorological stations. Tropical Rainfall Measurement Mission (TRMM) microwave remote sensing offers the possibility of quantifying drought and flood conditions over large spatial extents. This research use Precipitation Temperature Index (PTI) retrieved by TRMM precipitation data and LST to explore the spatial and temporal characteristics of flood and drought in Jiangsu Province. PTI is not only related to precipitation changes in a region, but also gives emphasis on LST changes, aiming at integrated monitoring of both drought and flood disasters. We got the 10days-to-10days changes and spatial distributions of PTI from 2000 to 2014 at winter wheat growth stages. Analysis this results we conclude that: The probability of drought and flood disasters happened in Jiangsu Province is 34.08% among 15 years, and the drought (16.74%) close to the flood (17.34%). Jiangsu Province is easily influenced by drought and flood disasters in every season of the year, and drought and flood disasters happened alternately ; Jiangsu Province happened many times extreme drought or flood disasters from 2000 to 2014, such as the 2003 flood year, 2005 autumn drought and 2011 spring drought et al. In addition, central of Jiangsu is easily affected by drought and flood disasters. At the same time, this research shows that the PTI can be used to monitoring the flood and drought disasters in large spatial extents effectively.
分类号： tp7
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