EGU25-3215, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-3215
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Wednesday, 30 Apr, 14:00–15:45 (CEST), Display time Wednesday, 30 Apr, 14:00–18:00
 
Hall X5, X5.179
Low-cost smartphone hyperspectral imaging for environmental monitoring in the cryosphere
Mary Stuart1, Matthew Davies2, Callum Fisk2, Elizabeth Allen3, Andrew Sole4, Ryan Ing5, Matthew Hobbs2, and Jon Willmott2
Mary Stuart et al.
  • 1College of Science and Engineering, University of Derby, Derby, UK (m.stuart@derby.ac.uk)
  • 2Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK
  • 3PyrOptik Instruments Ltd, The Innovation Centre, Sheffield, UK
  • 4Department of Geography, University of Sheffield, Sheffield, UK
  • 5School of Geosciences, University of Edinburgh, Edinburgh, UK

Hyperspectral imaging is a valuable analytical technique with significant benefits for environmental monitoring. However, the application of these technologies remains limited, largely by the cost and bulk associated with available instrumentation. This results in a lack of high-resolution data from more challenging and extreme environmental settings, limiting our knowledge and understanding of the effects of climate change in these regions. Here we challenge these limitations through the application of a low-cost, smartphone-based hyperspectral imaging instrument to measurement and monitoring activities at the Greenland Ice Sheet. Datasets are captured across a variety of supraglacial and proglacial locations covering visible and near infrared wavelengths. Our results are comparable to the existing literature, despite being captured with instrumentation costing over an order of magnitude less than currently available commercial technologies. Practicalities for field deployment are also explored, demonstrating our approach to be a valuable addition to the research field with the potential to improve the availability of datasets from across the cryosphere, unlocking a wealth of data collection opportunities that were hitherto infeasible.

How to cite: Stuart, M., Davies, M., Fisk, C., Allen, E., Sole, A., Ing, R., Hobbs, M., and Willmott, J.: Low-cost smartphone hyperspectral imaging for environmental monitoring in the cryosphere, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-3215, https://doi.org/10.5194/egusphere-egu25-3215, 2025.