ABSTRACT

Since 1982, Landsat series of satellite sensors continuously acquired thermal infrared images of the Earth’s land surface. In this study, Landsat 5, 7, and 8 land surface temperature (LST) products in the conterminous United States from 2009 to 2019 were validated using in situ measurements collected at 6 SURFRAD (Surface Radiation Budget Network) sites, 6 ARM (Atmospheric Radiation Measurement) sites, and 9 NDBC (National Data Buoy Center) sites. The results indicate that a relatively consistent performance among Landsat 5, 7, and 8 LST products is obtained for most sites due to the consistent LST retrieval algorithm in conjunction with the same atmospheric compensation and land surface emissivity (LSE) correction methods for Landsat 5, 7, and 8 sensors. Large bias and root mean square error (RMSE) of Landsat LST product are obtained at some vegetated sites due to incorrect LSE estimation where LSE is invariant with the increasing of normalized difference vegetation index (NDVI). Except for the sites with incorrect LSE estimation, a mean bias (RMSE) of the differences between Landsat LST and in situ LST is 1.0 K (2.1 K) over snow-free land surfaces, −1.1 K (1.6 K) over snow surfaces, and −0.3 K (1.1 K) over water surfaces.

摘要

自1982年以来，Landsat系列卫星传感器不断获取地球陆地表面的红外热图像。在这项研究中，使用从6个SURFRAD（表面辐射预算网络）站点，6个ARM（大气辐射）站点收集的原位测量结果，验证了2009年至2019年美国本土的Landsat 5、7和8个陆地表面温度（LST）产品。测量）站点和9个NDBC（国家数据浮标中心）站点。结果表明，由于一致的LST检索算法以及与Landsat 5相同的大气补偿和地表发射率（LSE）校正方法，对于大多数站点，Landsat 5、7和8 LST产品之间获得了相对一致的性能。 7个和8个传感器。由于不正确的LSE估计，在某些植被场所获得了Landsat LST产品的大偏差和均方根误差（RMSE），其中LSE随归一化植被指数（NDVI）的增加而不变。除LSE估算错误的地点外，Landsat LST与原位LST之间的差异的平均偏差（RMSE）在无雪地面上为1.0 K（2.1 K），在雪面上为-1.1 K（1.6 K），和在水面上的-0.3 K（1.1 K）。