Spatial Distribution of Permafrost in the Xing’an Mountains of Northeast China from 2001 to 2018
Permafrost is a key element of the cryosphere and sensitive to climate change. High-resolution permafrost map is important to environmental assessment, climate modeling, and engineering application. In this study, to estimate high-resolution Xing’an permafrost map (up to 1 km<sup>2</sup>...
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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
MDPI AG
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/c15df49bdacd4753b3bff19171585c26 |
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| Sumario: | Permafrost is a key element of the cryosphere and sensitive to climate change. High-resolution permafrost map is important to environmental assessment, climate modeling, and engineering application. In this study, to estimate high-resolution Xing’an permafrost map (up to 1 km<sup>2</sup>), we employed the surface frost number (<i>SFN</i>) model and ground temperature at the top of permafrost (TTOP) model for the 2001–2018 period, driven by remote sensing data sets (land surface temperature and land cover). Based on the comparison of the modeling results, it was found that there was no significant difference between the two models. The performances of the <i>SFN</i> model and TTOP model were evaluated by using a published permafrost map. Based on statistical analysis, both the <i>SFN</i> model and TTOP model efficiently estimated the permafrost distribution in Northeast China. The extent of Xing’an permafrost distribution simulated by the <i>SFN</i> model and TTOP model were 6.88 × 10<sup>5</sup> km<sup>2</sup> and 6.81 × 10<sup>5</sup> km<sup>2</sup>, respectively. Ground-surface characteristics were introduced into the permafrost models to improve the performance of models. The results provided a basic reference for permafrost distribution research at the regional scale. |
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