Landsat thermal calibration for river temperature monitoring of the Vistula River (2000–2024): code, matched datasets and monthly centreline surface temperature composites

Code and data supporting: Basheer, A.; Amnuaylojaroen, T.; Ashraf, M.N.; Ptak, M. Landsat Thermal Calibration for River Temperature Monitoring: A 25-Year Case Study of the Vistula River. Water (MDPI), under review (manuscript water-4575579). The record reproduces all quantitative results of the article: matching of Landsat 5/7/8/9 Collection 2 Level 2 surface temperature with in-situ water temperature at three gauging stations of the lower Vistula (Toruń, Chełmno, Gdańsk-Świbno), four-stage quality control (942 to 876 pairs), linear calibration (in-situ = 0.8125 × LST + 2.7965; R² = 0.91, RMSE = 1.37 °C), ten-fold, leave-one-out and leave-one-station-out validation, bootstrap, reduced-major-axis slope, twenty-algorithm comparison, sensor-stratified analysis, monthly composites, coverage-controlled trends, the August 2020 anomaly and the longitudinal thermal profile. Files:- vistula-landsat-river-temperature-v1.0.0_code.zip – Google Earth Engine scripts (JavaScript), Python analysis pipeline, in-situ and station-level Landsat data, matched and quality-controlled datasets, result tables, data dictionary (snapshot of https://github.com/asadjutt3180/vistula-landsat-river-temperature).- Vistula_LST_monthly_centreline_composites_2000_2024.zip – monthly mean Landsat surface temperature (May–November, 2000–2024; 175 composites) at 54,396 points spaced 30 m along the Vistula River, seven CSV files (one per month).- Vistula_centreline_points_30m_shapefile.zip – the 30 m centreline points (shapefile, WGS 84) used as the Earth Engine asset.- .sha256 files – checksums. Data sources: Landsat Collection 2 data courtesy of the U.S. Geological Survey (public domain), accessed through Google Earth Engine. In-situ water temperature and water level from IMGW-PIB (https://danepubliczne.imgw.pl): Źródłem pochodzenia danych jest Instytut Meteorologii i Gospodarki Wodnej – Państwowy Instytut Badawczy. Dane IMGW-PIB zostały przetworzone. Centreline derived from OpenStreetMap (© OpenStreetMap contributors, ODbL). Licences: data CC BY 4.0; code MIT.