Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-865-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-14-865-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
24 Feb 2022
Data description paper |
| 24 Feb 2022
| 24 Feb 2022
New high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the Northern Hemisphere
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy
of Sciences, Lanzhou 730000, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Xin Li
National Tibetan Plateau Data Center, State Key Laboratory of Tibetan
Plateau Earth System, Environment and Resources, Institute of Tibetan
Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
Guodong Cheng
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy
of Sciences, Lanzhou 730000, China
Institute of Urban Study, Shanghai Normal University, Shanghai 200234,
China
Jingxin Che
School of Science, Nanchang Institute of Technology, Nanchang 330099, China
Juha Aalto
Department of Geosciences and Geography, University of Helsinki, P.O.
Box 64, Gustaf Hällströmin katu 2a, 00014 Helsinki, Finland
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki,
Finland
Olli Karjalainen
Geography Research Unit, University of Oulu, P.O. Box 8000, 90014,
Oulu, Finland
Jan Hjort
Geography Research Unit, University of Oulu, P.O. Box 8000, 90014,
Oulu, Finland
Miska Luoto
Department of Geosciences and Geography, University of Helsinki, P.O.
Box 64, Gustaf Hällströmin katu 2a, 00014 Helsinki, Finland
Huijun Jin
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy
of Sciences, Lanzhou 730000, China
Institute of Cold Regions Science and Engineering and School of Civil
Engineering, Northeast Forestry University, Harbin 150040, China
Jaroslav Obu
Department of Geosciences, University of Oslo, Postboks 1047
Blindern, 0316 Oslo, Norway
Masahiro Hori
Earth Observation Research Center, Japan Aerospace Exploration
Agency, 2-1-1, Sengen, Tsukuba, Ibaraki 305-8505, Japan
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy
of Sciences, Lanzhou 730000, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Xiaoli Chang
School of Resource and Environment and Safety Engineering, Hunan
University of Science and Technology, Xiangtan 411201, China
Data sets
High-resolution datasets of permafrost thermal state and hydrothermal zonation in the Northern Hemisphere Y. Ran, X. Li, G. Cheng, J. Che, A. Juha, K. Olli, H. Jan, L. Miska, H. Jin, O. Jaroslav, H. Masahiro, Q. Yu, and X. Chang https://doi.org/10.11888/Geocry.tpdc.271190
Short summary
Datasets including ground temperature, active layer thickness, the probability of permafrost occurrence, and the zonation of hydrothermal condition with a 1 km resolution were released by integrating unprecedentedly large amounts of field data and multisource remote sensing data using multi-statistical\machine-learning models. It updates the understanding of the current thermal state and distribution for permafrost in the Northern Hemisphere.
Datasets including ground temperature, active layer thickness, the probability of permafrost...
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