Unveiling the large coverage of red snow algae blooms in antarctic coastal snowfields

Several locations across Antarctica are experiencing snow algal blooms on the surfaces of coastal snowfields, which significantly reduce surface albedo – by up to 20% – and consequently enhance the melting of snow and ice. Here we revealed the potential distribution of red snow algal blooms in the Antarctic South Shetland Islands between 2018 and 2024. A supervised machine learning approach was applied to 45 cloud-free Sentinel-2 images, using spectral information obtained from a drone-mounted hyperspectral sensor to monitor bloom extent across the entire archipelago. Our results provide clear evidence of the spatial distribution of red snow algae blooms in the South Shetland Islands, which covered up to 12% of the total surface area of a single island during the growth season. These findings offer valuable insights into the extent of red snow algae, supporting ongoing efforts to monitor their evolution and to understand their ecological implications under current climate change scenarios. Red snow algal blooms in the Antarctic South Shetland Islands can cover up to 12% of an island’s surface during the growth season, suggesting a possible influence on surface albedo and melt dynamics, based on a supervised machine-learning analysis of 45 cloud-free Sentinel-2 images

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Publication Details

Journal
Communications Earth & Environment
Published
2026-01-03
DOI
https://doi.org/10.1038/s43247-025-03156-6
Primary Topic
Polar Research and Ecology
Type
article
Field-Weighted Citation Impact
0.00

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article

Unveiling the large coverage of red snow algae blooms in antarctic coastal snowfields

Alejandro Román, L. Barbero, Antonio Tovar‐Sánchez, Isabel Caballero et al.
Communications Earth & Environment
Polar Research and Ecology
article

Unveiling the large coverage of red snow algae blooms in antarctic coastal snowfields

Alejandro Román, L. Barbero, Antonio Tovar‐Sánchez, Isabel Caballero, Beatriz Fernández-Marín, Gabriel Navarro, José Ignacio García-Plazaola, Enrique González-Ortegón
article en

Abstract

Several locations across Antarctica are experiencing snow algal blooms on the surfaces of coastal snowfields, which significantly reduce surface albedo – by up to 20% – and consequently enhance the melting of snow and ice. Here we revealed the potential distribution of red snow algal blooms in the Antarctic South Shetland Islands between 2018 and 2024. A supervised machine learning approach was applied to 45 cloud-free Sentinel-2 images, using spectral information obtained from a drone-mounted hyperspectral sensor to monitor bloom extent across the entire archipelago. Our results provide clear evidence of the spatial distribution of red snow algae blooms in the South Shetland Islands, which covered up to 12% of the total surface area of a single island during the growth season. These findings offer valuable insights into the extent of red snow algae, supporting ongoing efforts to monitor their evolution and to understand their ecological implications under current climate change scenarios. Red snow algal blooms in the Antarctic South Shetland Islands can cover up to 12% of an island’s surface during the growth season, suggesting a possible influence on surface albedo and melt dynamics, based on a supervised machine-learning analysis of 45 cloud-free Sentinel-2 images

Communications Earth & EnvironmentVol. 7(1)
University of the Basque Country (ES), Universidad de Cádiz (ES), National Research Council (LK), Instituto de Ciencias Marinas de Andalucía (ES)
European Commission, Agencia Estatal de Investigación
Life below water
Openalex Percentile: Top 99%
Polar Research and Ecology
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