Land surface temperature (LST) is increasingly important for various studies assessing land surface conditions, such as studies of urban climate, evaporation and vegetation pressure. The Landsat series of satellites has the potential to provide LST estimates with high spatial resolution, which is particularly suitable for local or small-scale studies. Many studies have proposed LST retrieval algorithms for the Landsat series, and some datasets are available online. However, these datasets usually require users to be able to process large amounts of data. Google Earth Engine (GEE) is an online platform designed to allow remote sensing users to easily perform big data analysis without increasing demands on local computing resources. However, the high spatial resolution LST dataset is not currently available in GEE. Here we provide a code library to compute LSTs from Landsat 4, 5, 7 and 8 in GEE. This code is freely available to users to compute Landsat LST as part of any analysis in GEE.
![Here you can see the results displayed by different data bands
Here we can use the dataset of landsat4-8
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code:
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Author: Sofia Ermida ([email protected];