%0 Journal Article
%T Application of the Anomaly Vegetation Index to Monitoring Heavy Drought in 1992<br>距平植被指数在1992年特大干旱监测中的应用
%A Chen Weiying
%A Xiao Qianguang
%A Sheng Yongwei
%A <br>陈维英
%A 肖乾广
%A 盛永伟
%J 遥感学报
%D 1994
%I 
%X This paper discribes a processing technique and a algorithm of ano-maly vegetation index of NOAA polar orbit meteorological Satellite,and their appli-cation to monitoring drought.Multiyear every ten-day mean and monthly mean no-rmalized difference vegetation index(NDVI)are used as the background value foranomaly vegetation index,and then the backgroud value is subtracted by currentlyyear every ten-day and monthly NDVI data to obtain anomaly value of vegetationindex. It reflects not only vegetation changes between years,but also indicates theweather impact on vegetation. The anomaly vegetation index is superior to NDVIwhen it is used for monitoring drought.It has a better relationship with monthlyprecipitation anomaly precentage.
%K Drought monitoring
%K Normalized difference vegetation index
%K Anomalyvegetation index
%K Precipitation anomaly percentage
%K Background value<br>干旱监测，归一化植被指数，距平植被指数，降水距平百分率，背景值
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=21287F67D93016B0ADA2933D8D0DE86A&yid=3EBE383EEA0A6494&iid=0B39A22176CE99FB&journal_id=1007-4619&journal_name=遥感学报&referenced_num=6&reference_num=0