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| 水分亏缺指数在全国干旱遥感监测中的应用研究 | |
| 引用本文： | 齐述华,张源沛,牛铮,王长耀,郑林. 水分亏缺指数在全国干旱遥感监测中的应用研究[J]. 土壤学报, 2005, 42(3): 367-372 |
| 作者姓名： | 齐述华 张源沛 牛铮 王长耀 郑林 |
| 作者单位： | 1. 江西师范大学鄱阳湖生态环境与资源研究重点实验室,南昌,330027;中国科学院遥感应用研究所遥感科学国家重点实验室,北京,100101 2. 宁夏农林科学院资源与环境研究所,银川,750000 3. 中国科学院遥感应用研究所遥感科学国家重点实验室,北京,100101 4. 江西师范大学鄱阳湖生态环境与资源研究重点实验室,南昌,330027 |
| 基金项目： | 中国科学院知识创新工程项目(KZCX1SW0102)，江西师范大学博士启动基金资助 |
| 摘 要： | 水分亏缺指数(WDI)是建立在作物水分胁迫指数理论基础上,并假设陆地表面温度是冠层温度与土壤表面温度线性加权及土壤与植被冠层之间不存在感热交换的情况下,结合陆气温差与植被指数得到的区域干旱评价指标。本文利用MODISTerra陆地表面温度和植被指数数据产品,采用NDVITs空间法分别计算了2000年4月上旬和5月中旬气温空间分布的基础上,结合陆气温差和植被指数计算全国范围WDI,并与表层土壤含水量进行对比。结果表明:WDI能够比较合理地用来监测区域干旱,不仅适用于裸地条件,还能够有效地应用于完全植被或部分植被覆盖条件下的干旱监测,克服了CWSI只能应用于郁闭植被冠层的限制。 |
| 关 键 词： | 干旱 遥感 水分亏缺指数 MODIS |
| 收稿时间： | 2004-06-07 |
| 修稿时间： | 2004-10-12 |
APPLICATION OF WATER DEFICIT INDEX IN DROUGHT MONITORING IN CHINA WITH REMOTE SENSING |
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| Qi Shuhu,Zhang Yuanpei,Niu Zheng,Wang Changyao and Zheng Lin. APPLICATION OF WATER DEFICIT INDEX IN DROUGHT MONITORING IN CHINA WITH REMOTE SENSING[J]. Acta Pedologica Sinica, 2005, 42(3): 367-372 | |
| Authors: | Qi Shuhu Zhang Yuanpei Niu Zheng Wang Changyao Zheng Lin |
| Affiliation: | Qi Shuhua 1,2 Zhang Yuanpei3 Niu Zheng2 Wang Changyao2 Zheng Lin1 |
| Abstract: | Crop Water Stress Index (CWSI) that was firstly suggested by Jackson and Idso to evaluate water status was expressed as a function of (T_c-T_a). Since remote sensed thermal radiation is a mixture information of soil and canopy, CWSI is not applicable at the pixel scale. On the assumption that land surface temperature (T_s) is a linear function of canopy temperature (T_c), soil surface temperature (T_ soil) and vegetation cover fraction (f_v) and that there is no coupling between soil and canopy, Water Deficit Index (WDI) that was extended from CWSI was used to evaluate regional drought. In the paper, air temperature (T_a) spatial patterns in the first ten days of April and second ten days of May in 2000 were firstly figured out with NDVI-T_s (where NDVI is Normalized Difference Vegetation Index) space with Terra MODIS land surface temperature and vegetation index product. Then Water Deficit Index (WDI) was calculated based on (T_s-T_a) and NDVI. The comparison between WDI and topsoil moisture show that WDI can reach a satisfactory estimation of field water deficit for both full-covered and partially vegetated sites and have overcome the shortage of CWSI that can only work for the site of fully covered by vegetation. |
| Keywords: | Drought Remote sensing Water Deficit Index (WDI) MODIS |
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