河南麦区一次高温低湿型干热风灾害的遥感监测

Remote Sensing Monitoring of a Dry-hot Wind Disaster in Wheat-Growing Area of Henan Province

使用国产气象卫星FY3/MERSI数据构建NDVI、RVI、ARVI、EVI指数,对河南麦区2013年5月12-13日的一次大面积冬小麦干热风过程进行监测,通过对干热风发生前后小麦种植区像元植被指数频次分布和变化量空间分布的对比,以及干热风前后像元植被指数变化量与气象指标的相关分析,研究不同植被指数用于干热风监测评估的适用性和敏感性。结果表明,NDVI、RVI、ARVI指数在干热风灾害发生后具有明显一致的下降趋势,其下降幅度随干热风灾害程度的加重而增大,且与干热风灾害程度的相关性随灾害加重而增大,NDVI和RVI对干热风灾害程度的敏感性优于ARVI,适于大面积干热风灾害监测。研究结果可为推广卫星遥感技术在大面积干热风灾害监测评估中的应用提供科学依据。

The domestic meteorological data FY3/MERSI was used to construct 4 types vegetation indices that including NDVI,RVI,ARVI and EVI to monitor a wide range of dry-hot wind process in winter wheat growing area in Henan province 12-13 May,2013.By comparing the frequency distribution and the variation spatial distribution of these pixel vegetation indexes before and after dry-hot wind occurred,and analyzing the correlation between vegetation index variation and meteorological indices,authors studied the applicability and sensitivity of different vegetation index for monitoring and evaluation the dry-hot wind disaster.The results showed that NDVI,RVI and ARVI had a consistent and significant downward trend when this dry-hot wind occurred and its descent amount increased as the dryhot wind disaster grade rised.The correlation between vegetation index variation and dry-hot wind disaster level also increased with the grade rised.In addition,NDVI and RVI.were more sensitive than ARVI for the dry-hot wind disaster,so that they are applicable to monitoring a large area of dry-hot wind disaster.The research results can provide a scientific basis for promoting the application of satellite remote sensing technology to monitor and evaluate a large area of dry-hot wind disaster.