lakeCoSTR is a Python notebook for Google Colaboratory to facilitate the acquisition and aggregation of the Landsat Collection 2 surface temperature product for global lakes. lakeCoSTR also will pair user-provided in situ data with the Landsat record, providing a ground-truth dataset for users to assess the performance of the Landsat Collection 2 surface temperature estimates for their lake of interest. Features of lakeCoSTR: lakeCoSTR aggregates the surface temperature estimates into summary values per Landsat scene and outputs those data in a single .csv file for the requested time of interest lakeCoSTR makes it easy to pair the Landsat surface temperature estimates with user-provided in situ temperature data A user guide is available with resources for tool use. Data input and output examples are provided at the lakeCoSTR_examples repository. Updates to v1.12: masked cloud shadows in BQA masks Updates to v1.11: removed LAKENAME _histogram.csv output, as it was redundant to all other data provided from tool.

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