Peatland Plant Spectral Response as a Proxy for Peat Health, Analysis Using Low-Cost Hyperspectral Imaging Techniques

Journal article


Stuart, M., Matthew Davies, Matthew J. Hobbs, Andrew J. S. McGonigle and Jon R. Willmott 2022. Peatland Plant Spectral Response as a Proxy for Peat Health, Analysis Using Low-Cost Hyperspectral Imaging Techniques. Remote Sensing. 14 (16), pp. 1-16. https://doi.org/10.3390/rs14163846
AuthorsStuart, M., Matthew Davies, Matthew J. Hobbs, Andrew J. S. McGonigle and Jon R. Willmott
Abstract

Peatland habitats represent key environmental resources that are a critical component in climate change mitigation strategies. However, many of these environmental settings are facing significant levels of erosion and degradation which, over time, will result in the loss of these key environments. Traditional monitoring techniques for these settings require invasive methods, disrupting the natural environment and potentially leading to further losses if incorrectly administered. In this article, we provide a non-invasive, cost-effective alternative to peatland health monitoring through the implementation of low-cost hyperspectral imaging techniques. Using common peatland plant species as a proxy for underlying peat health, we monitor the spectral response of Sphagnum plants under varying degrees of water stress to document their spectral response under these conditions. For this research, we utilise a low-cost, semi-portable High-Resolution Hyperspectral Imager capable of resolving mm-scale targets in conjunction with the ultra-low-cost Hyperspectral Smartphone that represents a completely accessible fully field portable instrument allowing for rapid and accurate on-site measurements. Both instruments are shown to provide accurate and robust results, capturing subtle changes in spectral response prior to their appearance within visual datasets enabling the use of mitigation and restoration techniques before the onset of more damaging conditions.

Keywordshyperspectral; low-cost; environmental monitoring; peatland health; field-portable; high-resolution
Year2022
JournalRemote Sensing
Journal citation14 (16), pp. 1-16
PublisherMDPI
ISSN2072-4292
Digital Object Identifier (DOI)https://doi.org/10.3390/rs14163846
Web address (URL)https://doi.org/10.3390/rs14163846
Publisher's version
License
File Access Level
Open
Output statusPublished
Publication dates09 Aug 2022
Publication process dates
Accepted05 Aug 2024
Deposited07 Nov 2024
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License: CC BY 4.0
File access level: Open

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