Abstract
The Qinghai-Tibet Plateau (QTP) is known as the Third Polar of the earth and the Water Tower of Asia, with more than 70% of the area on the QTP is covered by permafrost possibly. An accurate permafrost distribution map based on valid and available methods is indispensable for the local environment evaluation and engineering constructions planning. Most of the previous permafrost maps have employed traditional mapping method based on field surveys and borehole investigation data. However their accuracy is limited because it is extremely difficulties in obtaining mass data in the high-altitude and cold regions as the QTP; moreover, the mapping method, which would effectively integrate many factors, is still facing great challenges. With the rapid development of remote sensing technology in permafrost mapping, spatial data derived from the satellite sensors can recognize the permafrost environment features and quantitatively estimate permafrost distribution. Until now there is no map indicated permafrost presence/absence on the QTP that has been generated only by remote sensing data as yet. Therefore, this paper used permafrost-influencing factors and examined distribution features of each factor in permafrost regions and seasonally frozen ground regions. Then, using the Decision Tree method with the environmental factors, the 1 km resolution permafrost map over the QTP was obtained. The result shows higher accuracy compared to the previous published map of permafrost on the QTP and the map of the glaciers, frozen ground and deserts in China, which also demonstrates that making comprehensive use of remote sensing technology in permafrost mapping research is fast, macro and feasible. Furthermore, this result provides a simple and valid method for further permafrost research.
Highlights
Permafrost is defined as ground where temperature have remained at or below 0 ◦C for a period of least two consecutive years [1,2], which is an key component of cryosphere and assessing the impact of the climatic change
Overall accuracy of WQ and GZ on the Qinghai-Tibet Plateau (QTP) permafrost map based on multi-source remote sensing data is more than 85%, and Kappa coefficients of WQ and GZ are 0.71 and 0.69 respectively
The permafrost map of the QTP derived from 1:4,000,000 map of the Glaciers, Frozen Ground and Deserts in China compiled in 2002 and the Map of Permafrost on the Qinghai–Tibetan Plateau compiled in 1996, but Aqua satellite was launched on 4 May 2002
Summary
Permafrost is defined as ground (soil or rock and included ice and organic material) where temperature have remained at or below 0 ◦C for a period of least two consecutive years [1,2], which is an key component of cryosphere and assessing the impact of the climatic change. It is a crucial component in the soil biogeochemistry, local hydrology, ecosystems, heat and energy exchange, and the sensitive indicator of global warming [3]. It is imperative to study the detailed permafrost distribution on the QTP in order to research the response and feedback of permafrost to human engineering activities and global climatic change
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