基于MODIS的河南省遥感干旱监测研究

Remote Sensing Monitoring for Drought in Henan Province Based on MODIS

基于遥感的大面积干旱监测发挥着重要作用,但多种不同的遥感干旱指数在不同区域的空间适应性研究相对较少。利用MODIS数据分别计算归一化植被指数、距平植被指数、植被状态指数和温度状态指数等,并结合传统气象干旱指数分析近10a来河南省的干旱情况。结果表明,2000—2009年有6a发生了不同程度的干旱,其中豫北和豫西地区的干旱程度严重,遥感干旱监测的结果与气象干旱指数基本一致;分析了河南省不同区域和时段内基于遥感的干旱指数与气象干旱指数的相关性,总结出4种基于遥感的干旱指数在时空格局中的适用性,为干旱监测提供技术支持。

Large scale drought monitoring based on remote sensing plays an important role and however,only a few studies of the spatial adaptability about a variety of remote sensing drought indexes in different regions were conducted.Normalized difference vegetation index（NDVI）,anomaly vegetation index（AVI）,vegetation condition index（VCI）,and temperature condition index（TCI） were separately calculated based on MODIS images of He′nan Province and its drought situation in the latest decade was analyzed in combination with traditional meteorological drought index.Results showed that droughts occurred at different extents in six years between 2000 and 2009 and the northern and western parts of He′nan Province were more prone to suffer from severe droughts.Result from remote sensing monitoring for drought was consistent with the meteorological drought index.After analyzing the correlation between remote sensing drought index and meteorological drought index in different periods and regions of He′nan Province,four indices were found to have spatiotemporal adaptability.The research provides a technological support for drought monitoring.