Estimating snow algal bloom based on satellite imagery
4 to 6 months, starting beginning 2023
Laboratoire(s) de rattachement : CNRM/CEN Encadrant(s) : Marie Dumont Co-encadrant(s) : Simon Gascoin Contact(s) : marie.dumont meteo.fr Lieu : Grenoble Niveau de formation & prérequis : Master Mots clés : Snow, Algae, Satellite
Sometimes in summer, the alpine snow cover takes on a bright red color. This phenomenon, also known as the "blood of the glaciers" or “watermelon snow”, is the result of the multiplication (or blooming) of micro-algae in the snowpack (Stewart et al., 2021). This change in snow color can increase the rate of snow melt. This acceleration of melt may matter for alpine glaciers and locally for seasonal snow in the Alps.
The location, frequency, extent and conditions under which these blooms occur are still poorly understood. The evolution of theses blooms in a changing climate is thus currently unknown. Satellite imagery, in particular multispectral data from Sentinel-2, provides the opportunity to detect these blooms in the world’s mountains for the last few years.
A snow algae detection algorithm has been implemented at the Centre d’Etudes de la Neige based on a methodology used for the detection of snow algae in Antarctica (Gray et al., 2020). This algorithm needs to be evaluated and potentially adapted to the case of algae species found in the Alps. Then, it will be applied to the entire French Alps from 2016 on to establish a "climatology" of snow algal blooms.
The objectives of the internship are thus two folds :
- to evaluate and adapt if necessary the processing chain using field data from “Jardins du Lautaret” over a limited area
- to run the processing chain since 2016 over the French Alps to establish where, when and with what extent the blooms occur.
All developments will be done in Python using git as a versioning tool. The large scale analysis involves the processing of terabytes of Sentinel-2 data and will be done in collaboration with CESBIO.
This work will take place within the collaborative research project ALPALGA, which includes several laboratories (https://alpalga.fr/?lang=en).
Potential candidates have a strong interest in cryospheric science and/or remote sensing, are proficient in Python.
References :
- Gray, A., Krolikowski, M., Fretwell, P. et al. Remote sensing reveals Antarctic green snow algae as important terrestrial carbon sink. Nat Commun 11, 2527 (2020). https://doi.org/10.1038/s41467-020- 16018-w
- Stewart, Adeline, Delphine Rioux, Fréderic Boyer, Ludovic Gielly, François Pompanon, Amélie Saillard, Wilfried Thuiller, Jean-Gabriel Valay, Eric Marechal, and Eric Coissac. "Altitudinal zonation of green algae biodiversity in the French Alps." Frontiers in plant science 12 (2021) : 679428.
Mis à jour le 23 septembre 2022