Landsat8热红外波段地表比辐射率估算方法改进  被引量:2

An Improved Method for Estimating Land Surface Emissivity in Landsat8 Thermal Infrared Bands

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作  者:何好 张运 汤志 黄静 丁玥 HE Hao;ZHANG Yun;TANG Zhi;HUANG Jing;DING Yue(School of Geography and Tourism,Anhui Normal University,Wuhu 241000,China;Engineering Technology Research Center of Resources Environment and GIS,Anhui Province,Wuhu 241000,China;Natural Disaster Process and Prevention and Control of Provincial Key Laboratory of Anhui Province,Wuhu 241000,China)

机构地区:[1]安徽师范大学地理与旅游学院,安徽芜湖241000 [2]资源环境与地理信息工程安徽工程技术研究中心,安徽芜湖241000 [3]自然灾害过程与防控安徽省省级重点实验室,安徽芜湖241000

出  处:《安徽师范大学学报(自然科学版)》2020年第5期475-482,共8页Journal of Anhui Normal University(Natural Science)

基  金:安徽师范大学研究生创新与实践项目(2018kycx051).

摘  要:地表比辐射率是地表温度反演的关键输入参数,为了解决现有Landsat8热红外波段地表比辐射率估算方法较复杂的问题,基于ASTER光谱库数据和植被指数混合模型,提出一个适用于Landsat8热红外波段地表比辐射率的估算方法。采用MODIS地表比辐射率产品、地表温度产品与地面气象站点气温数据验证表明:估算得到的地表比辐射率同MODIS地表比辐射率产品平均相对误差小于0.005,相关系数0.8以上。运用估算的地表比辐射率数据反演得到的地表温度同气温数据的绝对误差小于1℃。由此得出结论,该方法可以较好的估算出Landsat8热红外波段地表比辐射率,可以支持生产高精度地表温度产品。Land surface emissivity is a key input parameter for land surface temperature.In order to solve the problem of complicated estimation methods of land surface emissivity in Landsat8 thermal infrared bands,we developed a method suitable for estimation of land surface emissivity by using ASTER spectrum database and Vegetation Index Hybrid Method.Verification by MODIS LSE products,MODIS LST products and land surface meteorological stations data showed that the average relative error between the estimated land surface emissivity and MODIS LSE products was less than 0.005,and the correlation coefficient was more than 0.8.The absolute error between the land surface temperature obtained by the estimated land surface emissivity and the air temperature data was less than 1℃。It is concluded that the developed method can better estimate Landsat8 thermal infrared bands land surface emissivity to support the production of high-precision land surface temperature products.

关 键 词:Landsat8数据 热红外波段 地表比辐射率 归一化植被指数 植被覆盖度 地表温度 

分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]

 

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