Sentinel-2 derived Chlorophyll-a prediction maps for high-altitude lakes in the Sierra Nevada, Spain
Basic Information
Abstract
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)
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)
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Owner/Creator
DOI
10.5281/zenodo.10059784
Dates
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-
Post date
Monday, March 18, 2024 - 08:30
Last modified
Monday, March 18, 2024 - 08:43
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Recommended citation
Recommended Citation
Postma, T., Martínez-López, J., Llodrà-Llabrés, J., Alcaraz-Segura, D., & Pérez-Martínez, C. (2023). Sentinel-2 derived Chlorophyll-a prediction maps for high-altitude lakes in the Sierra Nevada, Spain (0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10059784
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