Articles | Volume 20, issue 8
https://doi.org/10.5194/tc-20-4277-2026
https://doi.org/10.5194/tc-20-4277-2026
Research article
 | 
07 Aug 2026
Research article |  | 07 Aug 2026

Assessing spatial heterogeneity of active layer thickness over Arctic-foothills tundra, North Slope Alaska

Jinyang Du, K. Arthur Endsley, Kazem Bakian Dogaheh, John S. Kimball, Mahta Moghaddam, Thomas A. Douglas, Asem Melebari, Sepehr Eskandari, Jinhyuk E. Kim, Jane Whitcomb, Yuhuan Zhao, and Sophia Henze

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Cited articles

Bakian-Dogaheh, K., Chen, R. H., Yi, Y., Kimball, J. S., Moghaddam, M., and Tabatabaeenejad, A.: A model to characterize soil moisture and organic matter profiles in the permafrost active layer in support of radar remote sensing in Alaskan Arctic tundra, Environ. Res. Lett., 17, 025011, https://doi.org/10.1088/1748-9326/ac4e37, 2022. 
Bakian-Dogaheh, K., Zhao, Y., Kimball, J. S., and Moghaddam, M.: Coupled hydrologic-electromagnetic framework to model permafrost active layer organic soil dielectric properties, Remote Sens. Environ., 318, 114560, https://doi.org/10.1016/j.rse.2024.114560, 2025. 
Bakian-Dogaheh, K., Du, J., Endsley, K. A., Kim, J., De Sobrino, R., Tapia, J. N., Fulweber, R., Young, A. B., Kimball, J. S., and Moghaddam, M.: ABoVE: Active Layer Soil Properties and Multispectral Images, Imnavait Creek AK, 2024, version 1, ORNL Distributed Active Archive Center [data set], https://doi.org/10.3334/ORNLDAAC/2473 (last access: 6 August 2026), 2026. 
Bonnaventure, P. P. and Lamoureux, S. F.: The active layer: A conceptual review of monitoring, modelling techniques and changes in a warming climate, Prog. Phys. Geogr., 37, 352–376, https://doi.org/10.1177/0309133313478314, 2013. 
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001. 
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Short summary
Active layer thickness (ALT) is a sensitive indicator of the thawing Alaskan frozen soil, which may lead to increased greenhouse gas emissions, vegetation changes, and infrastructure damage. This study represents a multi-scale assessment of ALT spatial variations using observations including intensive field sampling, and drone, airborne and satellite remote sensing. Our study allows for improved interpretation of remote sensing and process-based ALT simulations for the changing Arctic.
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