教育部新世纪优秀人才支持计划资助项目"煤矿区土地覆盖变化与土特性演变的多目标遥感分析研究"(NCET-06-0476);江苏省"333工程"科研项目资助计划(2009-32)
- ZHAO Lihua
ZHAO Lihua
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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- PANG Yunfeng
PANG Yunfeng
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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ZHANG Huapeng
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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利用LandsatTM/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(SA-VI),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。
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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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,(4):110-114
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- 收稿日期:2009-12-30
- 最后修改日期:2010-01-29
- 在线发布日期: 2014-11-26