| 基于温度植被旱情指数的徐州市郊干旱遥感监测 |
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| 引用本文： | 赵丽花,杜培军,逄云峰,张华鹏.基于温度植被旱情指数的徐州市郊干旱遥感监测[J].水土保持通报,2010,30(4):110-114. |
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| 作者姓名： | 赵丽花 杜培军 逄云峰 张华鹏 |
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| 作者单位： | 1. 中国矿业大学,测绘与空间信息工程研究所,江苏,徐州,221116;国土环境与灾害监测国家测绘局重点实验室,江苏,徐州,221116
2. 龙口矿业集团生产处,山东,龙口,265700 |
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| 基金项目： | 教育部新世纪优秀人才支持计划资助项目，江苏省"333工程"科研项目资助计划 |
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| 摘 要： | 利用Landsat TM/ETM+数据,以徐州市郊为研究区,获取归一化植被指数(NDVI)、土壤调整植被指数(SAVI)和地表温度(Ts)信息,分别构建NDVI-Ts和SAVI-Ts特征空间,依据这两个特征空间计算出研究区2001年4月3日和2007年5月14日的温度植被旱情指数TVDI(NDVI)和TVDI(SAVI),并分别与地表温度(Ts)和降水量进行了相关评价.结果表明,TVDI可用于实现大范围的干旱监测,SAVI能够修正NDVI对土壤背景的敏感,基于SAVI的反演结果明显优于基于NDVI的反演结果,能够有效地运用于干旱监测.
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| 关 键 词： | 干旱监测 归一化植被指数 土壤调整植被指数 地表温度 温度植被旱情指数 |
| 收稿时间： | 2009/12/30 0:00:00 |
| 修稿时间： | 2010/1/29 0:00:00 |
Monitoring Drought Using Temperature/Vegetation Drought Index Based on Remote Sensing Images |
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| ZHAO Lihu,DU Peijun,PANG Yunfeng and ZHANG Huapeng.Monitoring Drought Using Temperature/Vegetation Drought Index Based on Remote Sensing Images[J].Bulletin of Soil and Water Conservation,2010,30(4):110-114. |
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| Authors: | ZHAO Lihu DU Peijun PANG Yunfeng and ZHANG Huapeng |
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| Institution: | Institute of Surveying and Spatial Information Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China;Key Laboratory for Land Resources and Disaster Monitoring of the State Bureau of Surveying and Mapping (SBSM) of China, Xuzhou, Jiangsu 221116, China;Department of Production, Longkou Mine Group, Longkou, Shangdong 265700, China;Institute of Surveying and Spatial Information Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China;Key Laboratory for Land Resources and Disaster Monitoring of the State Bureau of Surveying and Mapping (SBSM) of China, Xuzhou, Jiangsu 221116, China;Institute of Surveying and Spatial Information Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China;Key Laboratory for Land Resources and Disaster Monitoring of the State Bureau of Surveying and Mapping (SBSM) of China, Xuzhou, Jiangsu 221116, China |
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| Abstract: | Taking Xuzhou City as a study case,normalized difference vegetation index (NDVI),soil-adjusted vegetation index(SAVI),and land surface temperature(LST) are derived from Landsat TM/ETM+ remotely sensed data and then used to monitor drought status. The spatial characteristics of the vegetation indices and LST are built,by which the temperature vegetation dryness index (TVDI) is calculated from the remote sensing images obtained on April 3,2001 and May 14,2007. The analyses of TVDI,LST,and rainfall show that TVDI can be used to monitor drought largely and the result of TVDI based on SAVI is better than that based on NDVI. |
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| Keywords: | drought monitoring NDVI SAVI LST TVDI |
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