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干旱区地理 ›› 2013, Vol. 36 ›› Issue (5): 930-937.

• 地球信息科学 • 上一篇    下一篇

温度植被干旱指数(TVDI)在草原干旱监测中的应用研究

陈斌,张学霞,华开,徐珂   

  1. 北京林业大学水土保持学院, 北京    100083
  • 收稿日期:2012-12-04 修回日期:2013-02-16 出版日期:2013-09-25
  • 通讯作者: 张学霞(1975-),女,副教授,主要研究方向:3S应用. Email:xuexiazh@yeah.net
  • 作者简介:陈斌(1988-),男,硕士研究生,主要研究方向:遥感与GIS应用. Email:chenbindabing@sina.com
  • 基金资助:

    国家973项目(2012CB955403;2010CB951102)

Application study of temperature vegetation drought index(TVDI)in grassland drought monitoring

CHEN  Bin,ZHANG  Xue-xia,HUA  Kai,XU Ke   

  1. College  of  Soil  and  Water  Conservation, Beijing  Forestry  University, Beijing  100083, China
  • Received:2012-12-04 Revised:2013-02-16 Online:2013-09-25

摘要: 以内蒙古锡林郭勒盟地区为研究对象,选取2010年研究区旱情发生显著变化的9、10月份的MODIS植被指数和陆地表面温度数据,构建草原地区NDVI-LSTEVI-LST特征空间,进而由此构建了草原地区的温度植被干旱指数(TVDI),并结合当地气象数据和野外同步实地测量得到的土壤含水量数据对该指数进行定量验证。结果表明:(1)基于EVI-TS特征空间构建的TVDI,同样适用于旱情研究;且在研究区植被覆盖度不高的条件下,基于NDVI-TS特征空间的TVDI更适用于干旱监测;(2)构建的NDVI-TSEVI-TS特征空间,其散点图符合三角形的关系,与前人研究成果相符;(3)TVDI可以很好地反映研究区的旱情变化情况,可以对研究区进行旱情动态监测;(4)基于NDVI-TSEVI-TS空间构建的TVDI均与实地同步野外采集的土壤含水量数据结果显著负相关。且通过对基于TVDI的干旱监测结果与研究区实际情况对比分析发现,两者在旱区分布范围、旱情强度等级、干旱发展进程等方面基本吻合,说明TVDI可以在时间上很好监测旱情变化,TVDI可以用来评价草原干旱状况。

关键词: 干旱监测, MODIS, 温度植被干旱指数

Abstract: MODIS(moderate-resolution imaging spectroradiometer)data are widely used in large-scale,long-time,and dynamic drought monitoring for their high time resolution,high spectral resolution,moderate spatial resolution and other characteristics. In this paper,MODIS MOD11C3(monthly land surface temperature products)and MODIS MOD13C2(monthly vegetation index products)were used to study drought conditions of September and October in 2010 in Xilingol League,Inner Mongolia,China. Based on NDVI(normalized difference vegetation index),EVI(enhanced vegetation index)and LST(land surface temperature)indexes,the NDVI-LST and EVI-LST feature spaces were established,and from which the equations were obtained of dry and wet edges,then TVDI(temperature vegetation dryness index)was calculated. According to the criterion of drought levels of the arid and semi-arid regions,the spatial distribution maps of drought degree evaluation were obtained,then the map of drought evaluation comparison between September and October was produced,simultaneously,combining local meteorological information to take qualitative analysis of the drought monitoring result,and using surface soil moisture data with field survey method to take qualitative validation of TVDI. The results show as follows:(1)Even though the most study got TDVI from NDVI-LST feature space,TVDI calculated from EVI-LST feature space could also be suitable for drought monitoring. Under the condition of low vegetation cover,NDVI-LST feature space has better effects than that of EVI-LST,because TVDI obtained from NDVI-LST feature space has better correlation with surface soil moisture than that from EVI-LST feature space;(2)NDVI-LST and EVI-LST feature spaces established in this paper accorded with triangular relationship;(3)Previous studies have shown that [TVDI] can be used in one-day drought monitoring,but this study shows that TVDI is also fit for long-time drought monitoring.From the drought comparison between September and October,the conclusion can also be drawn that TVDI can be applied for dynamic drought monitoring;(4)TVDI has significant negative correlation with surface soil moisture and the correlation coefficient got through 0.05 level test,which means the lower the surface soil moisture,the higher the TVDI. The drought monitoring results reflected from spatial distribution maps of drought situation grades basically coincided with the actual situation in the study area.TVDI can be greatly used in drought early warning and monitoring of grassland area,this method can be used in long-term and large-scale drought monitor and forecast in real-time.

Key words: drought monitoring, MODIS, temperature vegetation drought index

中图分类号: 

  • TP79