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Article

Permafrost Presence/Absence Mapping of the Qinghai-Tibet Plateau Based on Multi-Source Remote Sensing Data

by 1,2, 1,3,*, 1, 4,5, 1 and 1
1
State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Science, Lanzhou 730000, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
South China Institute of Geotechnical Engineering, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
4
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
5
Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(2), 309; https://doi.org/10.3390/rs10020309
Received: 17 January 2018 / Revised: 3 February 2018 / Accepted: 10 February 2018 / Published: 16 February 2018
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. View Full-Text
Keywords: The Qinghai-Tibet Plateau (QTP); permafrost distribution; remote sensing; accuracy evaluation The Qinghai-Tibet Plateau (QTP); permafrost distribution; remote sensing; accuracy evaluation
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MDPI and ACS Style

Shi, Y.; Niu, F.; Yang, C.; Che, T.; Lin, Z.; Luo, J. Permafrost Presence/Absence Mapping of the Qinghai-Tibet Plateau Based on Multi-Source Remote Sensing Data. Remote Sens. 2018, 10, 309. https://doi.org/10.3390/rs10020309

AMA Style

Shi Y, Niu F, Yang C, Che T, Lin Z, Luo J. Permafrost Presence/Absence Mapping of the Qinghai-Tibet Plateau Based on Multi-Source Remote Sensing Data. Remote Sensing. 2018; 10(2):309. https://doi.org/10.3390/rs10020309

Chicago/Turabian Style

Shi, Yaya, Fujun Niu, Chengsong Yang, Tao Che, Zhanju Lin, and Jing Luo. 2018. "Permafrost Presence/Absence Mapping of the Qinghai-Tibet Plateau Based on Multi-Source Remote Sensing Data" Remote Sensing 10, no. 2: 309. https://doi.org/10.3390/rs10020309

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