| 条件植被温度指数干旱监测方法的研究与应用 |
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| 引用本文： | 王鹏新,孙威.条件植被温度指数干旱监测方法的研究与应用[J].科技导报(北京),2006,24(4):56-58. |
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| 作者姓名： | 王鹏新 孙威 |
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| 作者单位： | 中国农业大学信息与电气工程学院 北京100083(王鹏新)，中国农业大学资源与环境学院 北京100094(孙威) |
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| 基金项目： | 中国科学院资助项目;国家科技攻关项目;重庆市应用基础研究基金;NASA项目 |
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| 摘 要： | 综合应用归一化植被指数(NDVI)和土地表面温度(LST),提出了条件植被温度指数(VTCI)的概念,并将其用于干旱监测。VTCI的定义既考虑了区域内NDVI的变化,又强调了NDVI值相等时LST的变化,可解释为NDVI值相等时LST差异的比率。分别以陕西关中平原地区和美国大平原南部地区为研究区域,应用AVHRR和MODIS卫星遥感反演的NDVI和LST产品,以及累计降水量和降水偏差数据,证实了条件植被温度指数是一种近实时的干旱监测方法。
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| 关 键 词： | 条件植被温度指数 干旱监测 土地表面温度 植被指数 |
| 文章编号： | 1000-7857（2006）04-0056-03 |
| 收稿时间： | 2005-07-26 |
| 修稿时间： | 2005年7月26日 |
Researches and Applications on Drought Monitoring Approach of Vegetation Temperature Condition Index |
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| WANG Peng-xin,SUN Wei.Researches and Applications on Drought Monitoring Approach of Vegetation Temperature Condition Index[J].Science & Technology Review,2006,24(4):56-58. |
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| Authors: | WANG Peng-xin SUN Wei |
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| Institution: | 1. School of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; 2. School of Resources and Environment, China Agricultural University, Beijing 100094, China |
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| Abstract: | Based on remotely retrieved normalized difference vegetation index (NDVI) and land surface temperature (LST), vegetation temperature condition index (VTCI) is developed for monitoring drought occurrence at a regional scale. For the VTCI definition, it is not only related to NDVI changes in a given region, but also related to LST changes of pixels with a given NDVI value. VTCI can be physically explained as the ratio of temperature differences among the pixels which have the same NDVI values. Two areas, namely, Guanzhong Plain of Shaanxi Province, China and the southern region of the Great Plains, USA are selected for the study. The composited NDVI and LST products retrieved from AVHRR and MODIS remotely sensed data, and cumulative precipitation data are used to develop and validate the VTCI drought monitoring approach. The results indicate that VTCI is a near-real time drought monitoring approach. |
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| Keywords: | vegetation temperature condition index drought monitoring land surface temperature vegetation index |
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