干旱区生态环境知识资源中心(Arid): 温度植被干旱指数(TVDI)在复杂山区干旱监测的应用研究

Arid

	温度植被干旱指数(TVDI)在复杂山区干旱监测的应用研究
其他题名	Monitoring drought in mountainous area based on temperature/vegetation dryness index(TVDI)
	吴孟泉; 崔伟宏; 李景刚
ISSN	1000-6060
出版年	2007
卷号	30 期号:1 页码:30-35
中文摘要	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-Ts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.
英文摘要	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 veiy suitable for great extent, long-term drought detection and forecast.
中文关键词	干旱监测 ; 温度 ; 植被指数
英文关键词	MODIS drought monitoring temperature vegetation index MODIS
语种	中文
国家	中国
收录类别	CSCD
WOS类目	REMOTE SENSING
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:2721392
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/220912
作者单位	中国科学院遥感应用研究所, 北京 100101, 中国
推荐引用方式 GB/T 7714	吴孟泉,崔伟宏,李景刚. 温度植被干旱指数(TVDI)在复杂山区干旱监测的应用研究[J],2007,30(1):30-35.
APA	吴孟泉,崔伟宏,&李景刚.(2007).温度植被干旱指数(TVDI)在复杂山区干旱监测的应用研究.,30(1),30-35.
MLA	吴孟泉,et al."温度植被干旱指数(TVDI)在复杂山区干旱监测的应用研究".30.1(2007):30-35.