摘要
对地观测卫星(EOS)中分辨率成像光谱仪(MODIS)传感器因具有高时间分辨率、高光谱分辨率、适中的空间分辨率等特点,非常适合大范围、长时期、动态的干旱监测。本文选取云南省红河州地区为研究对象,利用MODIS植被指数和陆地表面温度产0品建立高原多山地区NDVI- T_s空间,并由此建立了复杂山区的温度植被干旱指数(TVDI)。利用该方法检测2006年3、4两个月的云南省红河地区的地表干旱情况,同时结合当地气象局信息和野外同步观测的表层土壤温度、湿度数据对该指标进行定量验证,结果表明,TVDI与土壤湿度显著相关,该方法可以用来对大区域干旱进行检测,能很好的用于山区的干旱预警与监测。
EOS（ earth observation satellites） and MODIS（ moderate imaging spectra） data are very suitable for vast extent, long-term and dynamic drought monitoring for its high temporal resolution, high spectral resolution and moderate spatial resolution. Based on MODIS data and the analyses of former remote sensing drought-monitoring models, Vegetation Index （VI） and land surface temperature product are used to establish NDVI- Ts. From the spaces, we establish temperature vegetation dryness index （TDVI）. Using this method to monitor Red River areas surface arid situation of Yunnan Province in March and April of 2006, simultaneously unifying the local meteorological bureau information and the synchronized observation surface layer soil temperature and humidity data to carry on the quota confirmation, finally indicated that TVDI and the soil moisture have the remarkable correlation. The results show that the model may be used to monitor the wide range arid and very suitable for great extent, long-term drought detection and forecast.
出处
《干旱区地理》
CSCD
北大核心
2007年第1期30-35,共6页
Arid Land Geography
基金
云南数字烟草项目(课题号:hx040035)
关键词
干旱监测
温度
植被指数
MODIS
drought monitoring
temperature
vegetation index
MODIS
