ABANTI

Spatio-temporal Analysis of Snow Algae Blooms using Drone Remote Sensing in Antarctic Coastal Environments

Research Team

Alejandro Román

Alejandro Román

Principal Investigator

Beatriz Fernández-Marín

Beatriz Fernández-Marín

Principal Investigator

?

JAE Intro Candidate

Research Assistant

Project Overview

ABANTI aims to study the spatio-temporal evolution of massive snow algae blooms on Livingston Island (South Shetland Islands, Antarctica), a growing phenomenon that has significant implications for snow melting, biodiversity, and the biogeochemistry of Antarctic ecosystems - currently a topic of great international interest.

The project focuses on analyzing remote sensing data and integrating it with biochemical pigment data. Data and biological samples will come from previous Antarctic campaigns (PiMetAn 2021-2022, RTI2018-098048B-100) and upcoming 2025/2026 expeditions (POLAROMICS PID2023-146919NB-C21 and POPEYE PID2022-139455NB-C32), led by the research groups of the principal investigators.

This project represents a unique opportunity to integrate two complementary and rarely combined approaches - remote sensing and polar plant physiology - together with artificial intelligence techniques in a context of high scientific relevance linked to climate change. It aligns with the main objective of the PolarCSIC network to create connections and foster the training of young researchers in remote sensing and biology applied to polar research.

Snow Algae Blooms on Livingston Island

The South Shetland Islands are experiencing unprecedented snow algae bloom events, transforming pristine white snowfields into colorful biological hotspots.

Snow Algae Bloom 1
Snow Algae Bloom 2
Snow Algae Bloom 3

JAE Intro Training Program

The selected candidate will develop their activity at ICMAN-CSIC under the supervision of Dr. Román and co-direction of Dr. Fernández-Marín (UPV/EHU), including a 2-week stay at UPV/EHU facilities.

1

Spectral Data Analysis from Drones

Training in the analysis of spectral data obtained through drone-based remote sensing for mapping snow algae blooms

2

Artificial Intelligence Techniques

Application of AI techniques to optimize the spatio-temporal analysis of snow algae blooms

3

Pigment Analysis via HPLC

Processing, identification, and quantification of pigments through high-performance liquid chromatography (HPLC)

4

Scientific Publication Preparation

Training in preparing results for publication in high-impact scientific journals

Program Details

Duration: 6 months
Dedication: 20 hours/week (on-site)
Location: ICMAN-CSIC (Cádiz) + 2-week stay at UPV/EHU (Basque Country)