EGU24-154, updated on 08 Mar 2024
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

High-Resolution UAV Hyperspectral Imagery for Antarctic Research

Alejandro Roman1, Antonio Tovar-Sánchez1, Beatriz Fernández-Marín2, Gabriel Navarro1, and Luis Barbero3
Alejandro Roman et al.
  • 1Department of Ecology and Coastal Management, Institute of Marine Sciences of Andalusia (ICMAN), Spanish National Research Council (CSIC), 11510 Cádiz, Spain
  • 2University of the Basque Country (UPV/EHU), Department of Plant Biology and Ecology, 48940 Leioa, Spain
  • 3Department of Earth Sciences, International Campus of Excellence in Marine Sciences (CEIMAR), University of Cádiz, 11510 Cádiz, Spain

Unmanned Aerial Vehicles (UAVs) have emerged as a promising tool, providing exciting opportunities for Antarctic research. They constitute a non-invasive, repeatable, affordable, and time-efficient alternative to address the observational gap between satellite imagery and ground-based techniques. Additionally, they provide an unparalleled advantage for collecting data in remote and difficult-to-access regions, as is the case of a significant portion of the cryosphere. In the last few years, a rising number of studies have used a wide variety of multispectral sensors mounted on UAVs to describe vegetated areas, monitor penguin colonies, or detect changes on Antarctic terrestrial ecosystems. The recent development of new hyperspectral (HS) sensors adapted to UAV platforms has enhanced the characterization of such heterogeneous ecosystems, combining an unprecedented scale in spectral and spatial resolutions for better discrimination in smaller and sparser areas within the Antarctic ecosystem. In this work, we demonstrate the potential of the synergy between HS technology and UAV imagery to address important and diverse ecological issues on Antarctic environments, including the spectral characterization of penguin colony ecosystems and the detection of massive snow algae blooms on glacial formations. Furthermore, this methodology has been validated using in-situ spectroradiometry and has been applied in conjunction with other remote sensing techniques, such as UAV-based multispectral technology and satellite imagery, to cover broader regions in a climate change context.

How to cite: Roman, A., Tovar-Sánchez, A., Fernández-Marín, B., Navarro, G., and Barbero, L.: High-Resolution UAV Hyperspectral Imagery for Antarctic Research, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-154,, 2024.