Scientific Gateway for Evaluating Land-Surface Temperatures Using Landsat 8 and Meteorological Data over Armenia and Belarus

The article introduces a scientific gateway to assess land surface temperatures using Landsat 8 and visible infrared imaging radiometer suite data. The gateway offers a selection of four temperature retrieval algorithms and two interpolation methods to create time series. The evaluation of the gateway’s performance in Armenia from May to October 2022 is illustrated. The research identifies the Price, Jiménez-Muñoz, McMillin, and I05 Chanel algorithms as the most accurate nighttime temperature estimation. Additionally, these products exhibit a reasonable level of accuracy, with an average root mean squared error ranging from 2.42 to 2.45°C and a coefficient of determination spanning from 0.82 to 0.95. The outcomes of this study bear significant relevance for diverse applications such as urban heat island analysis, environmental monitoring, and agricultural assessments.