Articles | Volume 15, issue 8
https://doi.org/10.5194/essd-15-3473-2023
https://doi.org/10.5194/essd-15-3473-2023
Data description paper
 | 
08 Aug 2023
Data description paper |  | 08 Aug 2023

Mapping of peatlands in the forested landscape of Sweden using lidar-based terrain indices

Lukas Rimondini, Thomas Gumbricht, Anders Ahlström, and Gustaf Hugelius

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Cited articles

Ågren, A. M., Lidberg, W., Strömgren, M., Ogilvie, J., and Arp, P. A.: Evaluating digital terrain indices for soil wetness mapping – a Swedish case study, Hydrol. Earth Syst. Sci., 18, 3623–3634, https://doi.org/10.5194/hess-18-3623-2014, 2014. 
Ågren, A. M., Larson, J., Paul, S. S., Laudon, H., and Lidberg, W.: Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape, Geoderma, 404, 115280, https://doi.org/10.1016/j.geoderma.2021.115280, 2021. 
Ågren, A. M., Hasselquist, E. M., Stendahl, J., Nilsson, M. B., and Paul, S. S.: Delineating the distribution of mineral and peat soils at the landscape scale in northern boreal regions, SOIL, 8, 733–749, https://doi.org/10.5194/soil-8-733-2022, 2022. 
Barnes, R.: RichDEM: Terrain Analysis Software, http://github.com/r-barnes/richdem (last access: 13 September 2022), 2016. 
Barthelmes, A., Couwenberg, J., Risager, M., and Tegetmeyer, C.: Peatlands and Climate in a Ramsar context, Nordic Council of Ministers, https://doi.org/10.6027/TN2015-544, 2015. 
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Peatlands have historically sequestrated large amounts of carbon and contributed to atmospheric...
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