首页> 外文期刊>International journal of applied earth observation and geoinformation >Radiance-based validation of land surface temperature products derived from Collection 6 MODIS thermal infrared data
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Radiance-based validation of land surface temperature products derived from Collection 6 MODIS thermal infrared data

机译:基于辐射的陆地表面温度产品验证来自收集6 MODIS热红外数据

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摘要

Land surface temperature (LST) is an important climate variable related to surface energy and water balance. The LST products retrieved from Terra-/Aqua-MODIS thermal infrared data have been widely used in climatological, hydrological, meteorological, and ecological applications. The newest collection (C6) MODIS LST products have been freely available for the user community since 2016. It is necessary to evaluate the accuracy of the C6 MODIS LST products prior to their application. In this study, the C6 MODIS LST products were validated using a radiance-based (R-based) method. We selected 38 validation sites worldwide over eight land cover types, i.e., in-land water, forest, shrubland, grassland, cropland, urban, snow, and bare soil surfaces. Except for the results for grassland sites during the daytime and night-time and the bare soil sites during the daytime, the C6 MODIS LST products are in good agreement with the R-based LST values, with bias and root mean square error (RMSE) values of less than 1 K for all sites during the daytime and night-time. Large LST discrepancies over grassland sites are caused by misclassification in the MODIS land cover type products, which can lead to large uncertainties in the determination of surface emissivity. We also compared the accuracies of the C5 and C6 MODIS LST products. Results indicate that there are no significant accuracy discrepancies between the C5 and C6 MODIS LST products for all sites, with the exception of bare soil sites. Compared with the C5 MODIS LST products, significant accuracy improvement in the C6 MODIS LST products over most bare soil sites can be found. The absolute bias values are reduced from approximately 1.4-3.0 K for C5 to approximately 0.3-0.8 K for C6, and the RMSE values from approximately 1.4-3.1 K for C5 to approximately 0.5-0.8 K for C6. However, further overestimation in the C6 MODIS LST products can be found over two bare soil sites due to the poor emissivity adjustment provided by the emissivity adjustment model incorporated into the C6 split window algorithm.
机译:陆地表面温度(LST)是与表面能量和水平衡有关的重要气候变量。从Terra-/ Aqua-Modis热红外数据中检索的LST产品已被广泛用于气候,水文,气象和生态应用。自2016年以来,最新的集合(C6)Modis LST产品已自由地提供用户社区。有必要在其应用程序之前评估C6 Modis LST产品的准确性。在本研究中,使用基于辐射的(基于R基)方法验证C6 MODIS LST产品。我们在全球范围内选择了38种验证网站,即陆覆盖类型,即陆水,森林,灌木丛,草原,农田,城市,雪和裸土壤。除了白天和夜间和白天裸露的土壤站点的草地网站的结果,C6 Modis LST产品与基于R的LST值吻合良好,具有偏差和均方根误差(RMSE)白天和夜间所有网站的值小于1 k。 Grassland位点的大型LST差异是由MODIS陆地覆盖型产品的错误分类引起的,这可能导致表面发射率的测定方面的巨大不确定性。我们还比较了C5和C6 Modis LST产品的准确性。结果表明,除了裸露的土壤场地,C5和C6 Modis LST产品之间没有显着的准确性差异。与C5 MODIS LST产品相比,可以找到大多数裸露土壤场地C6 MODIS LST产品的显着准确性。对于C6,绝对偏压从大约1.4-3.0k的C5减少到约0.3-0.8k,并且对于C6的C5至约0.5-0.8k的Rmse值。然而,由于通过结合到C6分离窗口算法的发射率调整模型提供的发射率调整差,C6 MODIS LST产品中的进一步高估。

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