University of Oulu

Isoaho, A., Ikkala, L., Marttila, H., Hjort, J., Kumpula, T., Korpelainen, P., & Räsänen, A. (2023). Spatial water table level modelling with multi-sensor unmanned aerial vehicle data in boreal aapa mires. In Remote Sensing Applications: Society and Environment (Vol. 32, p. 101059). Elsevier BV.

Spatial water table level modelling with multi-sensor unmanned aerial vehicle data in boreal aapa mires

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Author: Isoaho, Aleksi1,2; Ikkala, Lauri2; Marttila, Hannu2;
Organizations: 1Natural Resources Institute Finland (Luke), Paavo Havaksen tie 3, FI-90570, Oulu, Finland
2Water, Energy and Environmental Engineering Research Unit, Faculty of Technology, University of Oulu, P.O. Box 4300, Oulu, Finland
3Geography Research Unit, Faculty of Science, University of Oulu, P.O. Box 8000, Oulu, Finland
4Department of Geographical and Historical Studies, Faculty of Social Sciences and Business Studies, University of Eastern Finland, P.O. Box 111, FI-80101, Joensuu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 10.9 MB)
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Language: English
Published: Elsevier, 2023
Publish Date: 2023-10-13


Peatlands have been degrading globally, which is increasing pressure on restoration measures and monitoring. New monitoring methods are needed because traditional methods are time-consuming, typically lack a spatial aspect, and are sometimes even impossible to execute in practice. Remote sensing has been implemented to monitor hydrological patterns and restoration impacts, but there is a lack of studies that combine multi-sensor ultra-high-resolution data to assess the spatial patterns of hydrology in peatlands. We combine optical, thermal, and topographic unmanned aerial vehicle data to spatially model the water table level (WTL) in unditched open peatlands in northern Finland suffering from adjacent drainage. We predict the WTL with a linear regression model with a moderate fit and accuracy (R2 = 0.69, RMSE = 3.85 cm) and construct maps to assess the spatial success of restoration. We demonstrate that thermal-optical trapezoid-based wetness models and optical bands are strongly correlated with the WTL, but topography-based wetness indices do not. We suggest that the developed method could be used for quantitative restoration assessment, but before-after restoration imagery is required to verify our findings.

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Series: Remote sensing applications. Society and environment
ISSN: 2352-9385
ISSN-E: 2352-9385
ISSN-L: 2352-9385
Volume: 32
Article number: 101059
DOI: 10.1016/j.rsase.2023.101059
Type of Publication: A1 Journal article – refereed
Field of Science: 218 Environmental engineering
1171 Geosciences
Funding: The research was funded by the Ministry of the Environment, Finland and Natural Resources Institute Finland (VN/28337/2021-YM-2, VN/14352/2022, 41007-00216200).
Dataset Reference: Data will be made available on request.
Copyright information: © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (