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Permafrost zonation index map and statistics over the Qinghai–Tibet Plateau based on field evidence

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  • Bin Cao
  • Tingjun Zhang
  • Qingbai Wu
  • Yu Sheng
  • Lin Zhao
  • Defu Zou

Abstract

Permafrost is prevalent over the Qinghai–Tibet Plateau (QTP), but mapping its distribution is challenging due to the limited availability of ground‐truth data sets and strong spatial heterogeneity in the region. Based on a recently developed inventory of permafrost presence or absence from 1475 in situ observations, we developed and trained a statistical model and used it to compile a high‐resolution (30 arc‐seconds) permafrost zonation index (PZI) map. The PZI model captures the high spatial variability of permafrost distribution over the QTP because it considers multiple controlling variables, including near‐surface air temperature downscaled from re‐analysis, snow cover days and vegetation cover derived from remote sensing. Our results showed the new PZI map achieved the best performance compared to available existing PZI and traditional categorical maps. Based on more than 1000 in situ measurements, the Cohen's kappa coefficient and overall classification accuracy were 0.62 and 82.5%, respectively. Excluding glaciers and lakes, the area of permafrost regions over the QTP is approximately 1.54 (1.35–1.66) ×106 km2, or 60.7 (54.5–65.2)% of the exposed land, while area underlain by permafrost is about 1.17 (0.95–1.35) ×106 km2, or 46 (37.3–53.0)%.

Suggested Citation

  • Bin Cao & Tingjun Zhang & Qingbai Wu & Yu Sheng & Lin Zhao & Defu Zou, 2019. "Permafrost zonation index map and statistics over the Qinghai–Tibet Plateau based on field evidence," Permafrost and Periglacial Processes, John Wiley & Sons, vol. 30(3), pages 178-194, July.
  • Handle: RePEc:wly:perpro:v:30:y:2019:i:3:p:178-194
    DOI: 10.1002/ppp.2006
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    Cited by:

    1. Arvind Chandra Pandey & Tirthankar Ghosh & Bikash Ranjan Parida & Chandra Shekhar Dwivedi & Reet Kamal Tiwari, 2022. "Modeling Permafrost Distribution Using Geoinformatics in the Alaknanda Valley, Uttarakhand, India," Sustainability, MDPI, vol. 14(23), pages 1-19, November.
    2. Wei Shan & Chengcheng Zhang & Ying Guo & Lisha Qiu & Zhichao Xu & Yan Wang, 2022. "Spatial Distribution and Variation Characteristics of Permafrost Temperature in Northeast China," Sustainability, MDPI, vol. 14(13), pages 1-16, July.

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