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比辐射率对遥感反演滇池流域地表温度的影响
引用本文:李艳芳,杨昆,杨荣. 比辐射率对遥感反演滇池流域地表温度的影响[J]. 长江科学院院报, 2015, 32(9): 26-31. DOI: 10.11988/ckyyb.20150084
作者姓名:李艳芳  杨昆  杨荣
作者单位:1.云南师范大学a.旅游与地理科学学院;b.信息学院,昆明 650500;2.西部资源环境地理信息技术教育部工程研究中心,昆明 650500
基金项目:国家科技支撑计划,云南社会事业发展专项,高等学校博士学科点专项科研基金
摘    要:为了探究地表比辐射率(以下简称“比辐射率”)对遥感反演地表温度的影响。利用Landsat5 TM6波段数据,以滇池流域为研究区域,通过NDVI阈值法和经验公式模型法求算比辐射率,应用普适性单通道算法反演得到滇池流域地表温度,结合滇池流域地面温度实测数据,分析不同比辐射率求算方法对反演地表温度的影响。结果表明: NDVI阈值法求算出的比辐射率和经验公式模型法求算出的比辐射率与MODIS比辐射率产品均显著相关;通过经验公式求算的比辐射率反演得到的城镇地区地表温度,超出观测温度4~5 ℃,不能精确地反映地表温度,而通过NDVI阈值法求算的比辐射率反演得到的地表温度更接近于地表实测温度,更能正确反映不同地表覆盖下的温度;由2种比辐射率反演得到的地表温度与实测温度差异较小,在精度控制范围之内。因此,对于滇池流域这种地表覆盖比较好的区域,用NDVI阈值法求算出的比辐射率来反演地表温度更为合适。

关 键 词:比辐射率  地表温度  NDVI阈值法  经验公式模型法  普适性单通道算法  遥感  反演  
收稿时间:2015-01-22

Effect of Emissivity on the Retrieved Land Surface Temperature from Remote Sensing Data of Dianchi Lake Watershed
LI Yan-fang,YANG Kun,YANG Rong. Effect of Emissivity on the Retrieved Land Surface Temperature from Remote Sensing Data of Dianchi Lake Watershed[J]. Journal of Yangtze River Scientific Research Institute, 2015, 32(9): 26-31. DOI: 10.11988/ckyyb.20150084
Authors:LI Yan-fang  YANG Kun  YANG Rong
Affiliation:1.School of Tourism and Geography Science, Yunnan Normal University, Kunming 650500,China;2.School of Information, Yunnan Normal University, Kunming 650500, China;3.GIS Technology Research Center of Resource and Environment in Western Chinaof Ministry of Education, Kunming 650500, China
Abstract:Land surface temperature is an important indicator of analysing the earth’s environment, and land surface emissivity is a key factor on retrieved land surface temperature from remote sensing data. In this paper according to the measured land surface temperature, we analyzed the effect of different emissivity on the retrieved land surface temperature from remote sensing data. Firstly we calculated the land surface emissivity by using NDVI threshold method and empirical formula model respectively, and then adopted a generalized single-channel method to retrieve the land surface temperature. The Landsat5 TM6 band data acquired in March 24, 2009 in Dianchi Lake watershed was taken as research example. Results show that the emissivity calculated by both NDVI threshold method and empirical formula are in significant relation with MODIS validation data, and the retrieved surface temperature has small error compared with measured temperature, in the control range. But the surface temperature retrieved from the emissivity calculated by empirical formula is abnormal in urban areas, exceeding the observed temperature by 4 ℃ -5 ℃, which does not accurately reflect the surface temperature; while the surface temperature retrieved from the emissivity calculated by NDVI threshold method is nearer to the measured surface temperature, and reflects the temperature under different land covers more accurately. Therefore, for areas with good land cover such as Dianchi Lake watershed, it is more appropriate to retrieve land surface temperature from the emissivity calculated by NDVI threshold method.
Keywords:land surface emissivity  land surface temperature  NDVI threshold method  empirical formula model  generalized single-channel algorithm  remote sensing  retrieving
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