@misc{10481/112189,
year = {2026},
month = {3},
url = {https://hdl.handle.net/10481/112189},
abstract = {National and international regulations enforce monitoring programmes of water quality to guide management actions of inland water ecosystems. Our study evaluates the effect of spectral and spatial resolutions on the estimation of chlorophyll-a concentrations in mountain lakes, and derives implications for addressing the adjacency effect, which is critical and understudied in small water bodies. Five lakes in Sierra Nevada (Spain) were repeatedly sampled during 2020, 2021, and 2023, and a total of 100 chlorophyll-a samples with suitable coincident satellite imagery were analyzed. Laboratory-obtained chlorophyll-a concentrations were modeled comparing up to 86 spectral indices and bands as predictors from three satellites: Sentinel-2 (12 bands, 20 m/pixel), Planet (8 bands, 3 m/pixel) and WorldView-3 (11 bands, 1.24 m/pixel). Our results showed that multivariate models for estimating chlorophyll-a using spectral indices did not perform significantly better than using bands alone. The best models always had multiple predictors and included green and near-infrared bands. Models based on Sentinel-2 and Planet (Radj2 > 0.45) outperformed those of WorldView-3 (Radj2 ∼ 0.37), confirming that the latter performed worst despite higher spatial resolution. Regarding distance to shoreline, the Planet model showed the most consistent performance, with stable Radj2 values and low RMSE even at 3 m from shore with a high level of accuracy (Radj2 ∼ 0.3; RMSE ∼ 1.15 μg L−1). Data and models are released to facilitate near-real-time monitoring of these vulnerable ecosystems, where field sampling is extremely challenging.},
organization = {MICIU/AEI/10.13039/501100011033 and by ERDF/EU - (PID2023-151939OB-I00)},
organization = {Programa Operativo FEDER Andalucía 2021–2027 - (C-EXP-074-UGR23)},
organization = {Ministry of Ecological transition in their National Park Autonomous Agency action line - (OAPN 2403-S/2017)},
organization = {University of Granada co-funded by the Ministry of Science and Innovation through the FEDER funds from the Spanish Pluriregional Operational Program 2014–2020 (POPE) - (LifeWatch-2019-10-UGR-01)},
organization = {Consejería de Universidad, Investigación e Innovación and Gobierno de España and Unión Europea—NextGenerationEU Grant - (BIOD22_001)},
organization = {Spanish Ministry of Universities -(FPU19/04878)},
organization = {Universidad de Granada/CBUA - (Open access charge)},
publisher = {Wiley},
title = {Satellite Solutions: Facing Chlorophyll-a Retrieval in Small Mountain Lakes in the Sierra Nevada, Spain},
doi = {10.1029/2026wr043523},
author = {Llodrà Llabrés, Joana María and Pérez Girón, J. C. and Postma, Thedmer and Pérez Martínez, María del Carmen and Alcaraz Segura, Domingo and Martínez López, Francisco José and Martínez-López, Javier},
}