This dataset contains chlorophyll-a (ug/L) predictions for 4 high-altitude lakes in the Sierra Nevada Mountain Range, Spain. Predictions were made using a simple linear regression model with field sample chlorophyll-a as the dependent variable, and the following Sentinel-2 derived spectral index as the independent variable: B3 - (B4+((B2-B4)*((665-560)/(665-490))) Prediction maps are included as GeoTiffs and NetCDF files. Sentinel-2 data were atmospherically corrected using the following algorithms: ACOLITE (Vanhellemont & Ruddick, 2018) 6SV (Vermote et al. 2006) Included Lakes and and their IDs: Laguna de la Caldera (ID = P-2) Laguna-embalse de las Yeguas (ID = D-6) Laguna de Río Seco (ID = P-8) Laguna Larga (ID = G-7)

This research is part of the project "Thematic Center on Mountain Ecosystem & Remote sensing, Deep learning-AI e-Services University of Granada-Sierra Nevada" (LIFEWATCH-2019-10-UGR-4), which has been co-funded by the Ministry of Science and Innovation through the FEDER funds from the Spanish Pluriregional Operational Program 2014-2020 (POPE), LifeWatch-ERIC action line. The project has also been co-financed by the Provincial Council of Granada.

This research is part of the project Lagos centinelas de cambio global en los Parques Nacionales: análisis multidisciplinar de los últimos 6000 años. Subproyecto LACEN-LIM, financed by the Organismo Autónomo de Parques Nacionales (OAPN), Ref. 2403S/2017.