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机构地区:[1]华南农业大学信息学院/广东省土地利用与整治重点实验室/国土资源部建设用地再开发重点实验室,广东广州510642 [2]广州市测绘地理信息行业工程中心,广东广州510642
出 处:《广东农业科学》2015年第6期146-153,F0003,共9页Guangdong Agricultural Sciences
基 金:广东省科技计划项目(2011A060901027);国家自然科学基金(41061024);国家"十二五"科技支撑计划项目(2013BAJ13B05)
摘 要:地表温度(LST)是农业旱灾监测模型和农作物估产模型的关键因子,在干旱遥感监测中有着广泛应用.针对TM 8卫星运行陆地成像仪(OLI)和热红外传感器(TIRS)数据波段特点,提出新的劈窗算法流程图,推导新的劈窗算法系数,对地表比辐射率和大气透过率这两个基本参数进行了分析.选取同一时刻珠三角区域的MODIS温度产品和气象站点观测值作为基准,对该算法进行精度分析.结果表明:LST散点图得出RMSE为0.3845;从LST差值直方图得出反演LST和产品LST误差范围主要集中在-0.6~0.6℃之间;对观测的气象站点值进行统计,产品站点温度均值、算法反演温度均值和站点观测温度均值分别为21.61、21.19、21.38℃,对高温区域的气象站点温度数据统计得出该算法的RMSD为0.742℃,误差小于1℃.从实例应用来看,该算法能快速有效地反演农业旱灾监测中所需要的LST参数,并获得较好的反演效果,能提高农业旱灾监测模型的反演精度.The land surface temperature (LST) is a key factor widely applied in agricultural drought monitoring, crop yield estimation model and it has an important application in drought remote sensing monitoring. In this paper, we proposed a new split-window algorithm flowchart and derived new parameters to retrieve LST from Landsat 8 satellite according to operation land imager (OLI) and the thermal infrared sensor (TIRS) band characteristics. The atmospheric transmittance and surface emissivity were computed and analyzed in detail. Selecting MODIS temperature product and meteorological stations in the same region as reference, this paper analyzed the result and evaluated the accuracy. The results showed that RMSE was 0.3845 from LST scatter and LST error ranged from -0.6℃ to 0.6℃ between retrieval and product. Analyzing the statistical values from meteorological stations, the mean temperatures of product stations and retrieved by algorithm and observations from meteorological stations were 21.61℃, 21.19℃ and 21.38℃ resoeetivelv. RMSD on the high temoerature region from meteorological stations was 0.742℃ and the error was less than 1℃. The method of applying example can quickly and efficiently retrieve LST parameters for agricultural drought monitoring, which got better retrieval LST and improved the accuracy agricultural drought monitoring model.
分 类 号:S127[农业科学—农业基础科学]
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