Abstract: Land surface temperature provides important basic data for research on, for example, hydrology, ecology, climate, natural disasters, environment and resources. A series of scientific issues in earth sciences, including disaster prevention and mitigation, climate change, environmental evolution and human-land interaction, all require a complete understanding of the thermal state of ground surface. Based on the thermal infrared bands of LANDSAT 8, a high-resolution temperature inversion dataset for the China–Pakistan Economic Corridor from 2013 to 2018 was built by using multiple LST inversion models. The data has a spatial resolution of 30 m and a temporal resolution of 16 days. The study uses diﬀerent models to retrieve land surface temperature data, such as single-channel inversion model, double-channel split-window inversion model and data fusion model. For data quality verification, the temperature data are validated against MODIS MOD11A1 V6 surface temperature products. A sample test shows that the agreement index is greater than 0.84 and the Kling-Gupta coefficient is greater than 0.72. A comparison and verification shows that this data product has a higher spatial resolution. The dataset can be used to study the spatiotemporal change of natural environment, providing basic data for relevant scientific research, engineering construction and social service along the China–Pakistan Economic Corridor.
Keywords: China-Pakistan Economic Corridor; land surface temperature; data inversion; 2013 – 2018; Landsat 8