FY-3C/MERSI与MODIS的多波段干旱指数反演及对比分析  

Multiple Band Drought Index(MBDI)retrieve and comparison between FY-3C/MERSI and MODIS

作　　者：权文婷[1] 周辉[1] 李红梅[1] 何慧娟[1] 能佳 

机构地区：[1]陕西省农业遥感信息中心,陕西西安710014 [2]中国石油长庆油田分公司,陕西西安710018

出　　处：《干旱区地理》2016年第4期835-842,共8页Arid Land Geography

基　　金：陕西省气象局科技创新基金计划项目(2014M-15)

摘　　要：以陕西省为研究区,选取2014年代表旱情发展过程的5、7和8月份的FY-3C/MERSI数据及与其同期的MODIS反射率产品和陆表温度数据,构建多波段干旱指数(MBDI),比较两种数据MBDI结果的空间相关性,结合研究区土壤相对湿度数据对MBDI进行相关性分析,比较MBDI监测结果的空间分布特征及不同干旱程度下像元数的变化趋势。结果表明:(1)MERSI-MBDI与MODIS-MBDI呈显著正相关,R2达0.7以上,通过0.001水平显著性检验;(2)MERSI-MBDI与MODIS-MBDI与10 cm土壤相对湿度均通过0.05水平显著性检验,MERSI-MBDI与土壤相对湿度具有更好的相关性,通过了0.01水平显著性检验;(3)MERSI-MBDI与MODIS-MBDI旱情监测结果在空间上具有良好的一致性,并与研究区实际情况相符,且不同干旱程度下像元数的变化趋势也十分一致。研究表明,通过与MODIS数据对比,MERSI数据可以很好的进行陕西省旱情变化监测。Drought Monitoring using remote sensing technology is one of the most useful methods. Medium Resolution Spectral Imager（MERSI）on board the new Generation Polar-Orbiting Meteorological Satellite of China（FY-3）has 15 spectral channels with 1 km spatial resolution,which enhances the ability to observe fine surface features and provides a new data source for drought monitoring in large area. Satellite images from NOAA/AVHRR,Landsat/TM,TERRA/AQUA-MODIS have been the major data sources used in China＇s drought applications. Of all these satellite sensors,data from TERRA/AQUA-MODIS has moderate spatial resolution and high spectral and temporal resolution,which is especially favorable in validation of known drought indexes. In this paper,drought conditions of May,July and August in 2014 in Shaanxi Province,China were studied based on FY-3C/MERSI data and MODIS MOD09GA（daily reflectance products）and MODIS MOD11A1（daily land surface temperature products）of the same period,by building the Multiple Band Drought Index（MBDI）using the Normalized Difference Water Index（NDWI）and LST（Land Surface Temperature）indexes,comparing the correlation of MBDI results of MERSI and MODIS,taking correlation analysis of MBDI retrieved by MERSI and MODIS with 10 cm surface soil moisture data,comparing MBDI monitoring spatial distribution map between MERSI and MODIS,and analyzing the change trend of pixels under different drought degrees. The results show as follows：（1）it shows significant positive correlation between MERSI-MBDI and MODIS-MBDI,with R2 of all three periods of drought process over 0.7,and the correlation coefficient got through 0.001 level test,indicating there is a good consistency between MERSI-MBDI and MODIS-MBDI;（2）it shows significant positive correlation between MODIS-MBDI and 10 cm surface soil moisture data,which all got through 0.05 level test;MERSI-MBDI has better correlation with 10 cm surface soil moisture data,which all got through 0.01 level test;（3）the retrieval of spatial a

关 键 词：FY-3C/MERSI MODIS 多波段干旱指数 

分 类 号：P426.616[天文地球—大气科学及气象学]