| 何光聪， 胡月明， 肖志峰.基于TM8卫星热红外数据地表温度反演及其应用[J].广东农业科学,2015,42(6):141-145 |
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基于TM8卫星热红外数据地表温度反演及其应用 |
| Land surface temperature retrieval based on TM8thermal infrared data and its application |
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| DOI： |
| 中文关键词: 地表温度 遥感 传感器 农业旱灾监测 反演 |
| 英文关键词: land surface temperature remote
sensing sensors agricultural drought monitoring retrieval |
| 基金项目: |
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| 摘要点击次数: 1333 |
| 全文下载次数: 603 |
| 中文摘要: |
| 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。感监测中有着广泛
应用。 针对 TM8 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益之间；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益，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益，误差小于 1益。 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。 |
| 英文摘要: |
| 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℃respectively. RMSD on the high temperature region from meteorological stations was 0.742and 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. |
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