Cao, Z., Nan, Z., Chen, Y., and Hu, J.: A new 2010 permafrost distribution
map over the Qinghai-Tibet Plateau based on subregion survey maps: a
benchmark for regional permafrost modelling, figshare [data set],
https://doi.org/10.6084/m9.figshare.19642362, 2022.
Chang, Y., Lyu, S., Luo, S., Li, Z., Fang, X., Chen, B., Li, R., and Chen,
S.: Estimation of permafrost on the Tibetan Plateau under current and future
climate conditions using the CMIP5 data, Int. J. Climatol., 38, 5659–5676,
https://doi.org/10.1002/joc.5770, 2018.
Chen, J., Zhao, L., Sheng, Y., Li, J., Wu, X., Du, E., Liu, G., and Pang, Q.:
Some characteristics of permafrost and its distribution in the Gaize area on
the Qinghai–Tibet Plateau, China, Arct. Antarct. Alp. Res.,
48, 395–409, https://doi.org/10.1657/AAAR0014-023, 2016.
Chen, Y., Nan, Z., Zhao, S., and Xu, Y.: A Bayesian Approach for
Interpolating Clear-Sky MODIS Land Surface Temperatures on Areas With
Extensive Missing Data, IEEE J. Sel. Top. Appl.,
14, 515–528, https://doi.org/10.1109/JSTARS.2020.3038188, 2020.
Chen, Y., Nan, Z., Cao, Z., Ou, M., and Feng, K.: A stepwise framework for
interpolating land surface temperature under cloudy conditions based on the
solar-cloud-satellite geometry, ISPRS J. Photogramm., 197, 292–308, https://doi.org/10.1016/j.isprsjprs.2023.02.004, 2023.
Cheng, G., Li, S., Nan, Z., and Tong, B.: Map of permafrost on the
Qinghai-Tibet Plateau (1:3 000 000) (1983–1996), National Tibetan Plateau
Data Center [data set], https://doi.org/10.11888/Geocry.tpdc.270014, 2011.
Cheng, G., Zhao, L., Li, R., Wu, X., Sheng, Y., Hu, G., Zou, D., Jin, H.,
Li, X., and Wu, Q.: Characteristic, changes and impacts of permafrost on
Qinghai-Tibet Plateau, Chinese Sci. Bull., 64,
2783–2795, https://doi.org/10.1360/TB-2019-0191, 2019 (in Chinese).
Cohen, J.: A coefficient of agreement for nominal scales, Educ. Psychol.
Meas., 20, 37–46, https://doi.org/10.1177/001316446002000104, 1960.
Dai, L., Che, T., Xie, H., and Wu, X.: Estimation of snow depth over the
Qinghai-Tibetan Plateau based on AMSR-E and MODIS data, Remote Sens., 10,
1989, https://doi.org/10.3390/rs10121989, 2018.
Debolskiy, M. V., Nicolsky, D. J., Hock, R., and Romanovsky, V. E.: Modeling
Present and Future Permafrost Distribution at the Seward Peninsula, Alaska,
J. Geophys. Res.-Earth, 125, e2019JF005355,
https://doi.org/10.1029/2019JF005355, 2020.
Dobinski, W.: Permafrost, Earth-Sci. Rev., 108, 158–169,
https://doi.org/10.1016/j.earscirev.2011.06.007, 2011.
Friedman, J. H.: Multivariate adaptive regression splines, Ann.
Stat., 19, 1–67, 1991.
Gisnås, K., Etzelmüller, B., Lussana, C., Hjort, J., Sannel, A. B. K.,
Isaksen, K., Westermann, S., Kuhry, P., Christiansen, H. H., and Frampton, A.:
Permafrost map for Norway, Sweden and Finland, Permafrost Periglac., 28, 359–378, https://doi.org/10.1002/ppp.1922, 2017.
Gruber, S.: Derivation and analysis of a high-resolution estimate of global permafrost zonation, The Cryosphere, 6, 221–233, https://doi.org/10.5194/tc-6-221-2012, 2012.
Guo, D. and Wang, H.: Simulation of permafrost and seasonally frozen ground
conditions on the Tibetan Plateau, 1981–2010, J. Geophys.
Res.-Atmos., 118, 5216–5230, https://doi.org/10.1002/jgrd.50457,
2013.
Guo, W., Liu, S., Xu, J., Wu, L., Shangguan, D., Yao, X., Wei, J., Bao, W.,
Yu, P., and Liu, Q.: The second Chinese glacier inventory: data, methods and
results, J. Glaciol., 61, 357–372, https://doi.org/10.3189/2015JoG14J209,
2015.
Hachem, S., Duguay, C. R., and Allard, M.: Comparison of MODIS-derived land surface temperatures with ground surface and air temperature measurements in continuous permafrost terrain, The Cryosphere, 6, 51–69, https://doi.org/10.5194/tc-6-51-2012, 2012.
Hu, G., Zhao, L., Li, R., Wu, X., Wu, T., Zhu, X., Pang, Q., Yue Liu, G.,
Du, E., and Zou, D.: Simulation of land surface heat fluxes in permafrost
regions on the Qinghai-Tibetan Plateau using CMIP5 models, Atmos. Res., 220,
155–168, https://doi.org/10.1016/j.atmosres.2019.01.006, 2019a.
Hu, G., Zhao, L., Wu, X., Li, R., Wu, T., Su, Y., and Hao, J.: Evaluation of
reanalysis air temperature products in permafrost regions on the
Qinghai-Tibetan Plateau, Theor. Appl. Climatol., 138, 1457–1470,
https://doi.org/10.1007/s00704-019-02888-8, 2019b.
Hu, J., Zhao, S., Nan, Z., Wu, X., Sun, X., and Cheng, G.: An effective
approach for mapping permafrost in a large area using subregion maps and
satellite data, Permafrost Periglac., 31, 548–560,
https://doi.org/10.1002/ppp.2068, 2020.
Huang, R., Huang, J., Zhang, C., Ma, H., Zhuo, W., Chen, Y., Zhu, D., Wu, Q.,
and Mansaray, L. R.: Soil temperature estimation at different depths, using
remotely-sensed data, J. Integr. Agr., 19, 277–290,
https://doi.org/10.1016/S2095-3119(19)62657-2, 2020.
Huang, Z.: Extensions to the k-means algorithm for clustering large data
sets with categorical values, Data Min. Knowl. Disc., 2, 283–304,
https://doi.org/10.1023/A:1009769707641, 1998.
Ji, H., Nan, Z., Hu, J., Zhao, Y., and Zhang, Y.: On the Spin-up Strategy for
Spatial Modeling of Permafrost Dynamics: a Case Study on the Qinghai-Tibet
Plateau, J. Adv. Model. Earth Sy., e2021M–e2750M,
https://doi.org/10.1029/2021MS002750, 2022.
Jin, H., Luo, D., Wang, S., Lü, L., and Wu, J.: Spatiotemporal
variability of permafrost degradation on the Qinghai-Tibet Plateau,
Sci. Cold Arid Reg., 3, 281–305,
2011.
Koven, C. D., Riley, W. J., and Stern, A.: Analysis of permafrost thermal
dynamics and response to climate change in the CMIP5 Earth System Models, J.
Climate, 26, 1877–1900, https://doi.org/10.1175/JCLI-D-12-00228.1, 2013.
Li, J., Sheng, Y., Wu, J., Feng, Z., Ning, Z., Hu, X., and Zhang, X.:
Landform-related permafrost characteristics in the source area of the Yellow
River, eastern Qinghai-Tibet Plateau, Geomorphology, 269, 104–111,
https://doi.org/10.1016/j.geomorph.2016.06.024, 2016.
Li, X., Cheng, G., Jin, H., Kang, E., Che, T., Jin, R., Wu, L., Nan, Z.,
Wang, J., and Shen, Y.: Cryospheric change in China, Global Planet. Change,
62, 210–218, https://doi.org/10.1016/j.gloplacha.2008.02.001, 2008.
Li, Z., Li, Z., Feng, Q., Zhang, B., Gui, J., Xue, J., and Gao, W.: Runoff
dominated by supra-permafrost water in the source region of the Yangtze
River using environmental isotopes, J. Hydrol., 582, 124506,
https://10.1016/j.jhydrol.2019.124506, 2020.
Li, Z., Zhao, L., Liu, G., Zou, D., Wang, L., Yang, B., Du, E., Hu, G., Zhou, H., Wang, C., Xin, Z., Zhao, J., Yin, X., Chi, H., Tan, C., and Chen, W.: Analysis of soil moisture content in the active layer in the permafrost region of the Tuotuo River source in frozen season, J. Glaciolo. Geocryol., 44, 56–68, 2022 (in Chinese).
Luo, D., Jin, H., Marchenko, S. S., and Romanovsky, V. E.: Difference between
near-surface air, land surface and ground surface temperatures and their
influences on the frozen ground on the Qinghai-Tibet Plateau, Geoderma, 312,
74–85, https://doi.org/10.1016/j.geoderma.2017.09.037, 2018.
Marcer, M., Bodin, X., Brenning, A., Schoeneich, P., Charvet, R., and
Gottardi, F.: Permafrost favorability index: spatial modeling in the French
Alps using a rock glacier inventory, Front. Earth Sci., 5, 105,
https://doi.org/10.3389/feart.2017.00105, 2017.
Mekonnen, Z. A., Riley, W. J., Grant, R. F., and Romanovsky, V. E.: Changes in
precipitation and air temperature contribute comparably to permafrost
degradation in a warmer climate, Environ. Res. Lett., 16, 24008,
https://doi.org/10.1186/s40645-020-00366-8, 2021.
Mu, C., Abbott, B. W., Norris, A. J., Mu, M., Fan, C., Chen, X., Jia, L.,
Yang, R., Zhang, T., and Wang, K.: The status and stability of permafrost
carbon on the Tibetan Plateau, Earth-Sci. Rev., 211, 103433,
https://doi.org/10.1016/j.earscirev.2020.103433, 2020.
Nan, Z., Li, S., and Liu, Y.: Mean annual ground temperature distribution on
the Tibetan Plateau: permafrost distribution mapping and further application, J. Glaciol. Geocryol., 24, 142–148,
2002 (in Chinese).
National Meteorological Information Centre: Daily meteorological dataset of
basic meteorological elements of China National Surface Weather Station
(V3.0) (1951–2010), National Tibetan Plateau Data Center [data set],
https://data.tpdc.ac.cn/en/data/52c77e9c-df4a-4e27-8e97-d363fdfce10a/, 2019.
Ni, J., Wu, T., Zhu, X., Hu, G., Zou, D., Wu, X., Li, R., Xie, C., Qiao, Y.,
and Pang, Q.: Simulation of the present and future projection of permafrost
on the Qinghai-Tibet Plateau with statistical and machine learning models,
J. Geophys. Res.-Atmos., 126, e2020J–e33402J,
https://doi.org/10.1002/essoar.10503593.1, 2021.
Niu, F. and Yin, G.: Map of the frozen soil in the Tibetan Plateau (2003),
National Tibetan Plateau Data Center [data set],
https://doi.org/10.11888/GlaciolGeocryo.tpe.00000048.file, 2018.
Obu, J., Westermann, S., Bartsch, A., Berdnikov, N., Christiansen, H. H.,
Dashtseren, A., Delaloye, R., Elberling, B., Etzelmüller, B., and
Kholodov, A.: Northern Hemisphere permafrost map based on TTOP modelling for
2000–2016 at 1 km
2 scale, Earth-Sci. Rev., 193, 299–316,
https://doi.org/10.1016/j.earscirev.2019.04.023, 2019.
Peng, S., Ding, Y., Liu, W., and Li, Z.: 1 km monthly temperature and precipitation dataset for China from 1901 to 2017, Earth Syst. Sci. Data, 11, 1931–1946, https://doi.org/10.5194/essd-11-1931-2019, 2019.
Qin, Y., Wu, T., Zhao, L., Wu, X., Li, R., Xie, C., Pang, Q., Hu, G., Qiao,
Y., and Zhao, G.: Numerical modeling of the active layer thickness and
permafrost thermal state across Qinghai-Tibetan Plateau, J.
Geophys. Res.-Atmos., 122, 11, 604–611, 620,
https://doi.org/10.1002/2017JD026858, 2017.
Qin, Y., Zhang, P., Liu, W., Guo, Z., and Xue, S.: The application of
elevation corrected MERRA2 reanalysis ground surface temperature in a
permafrost model on the Qinghai-Tibet Plateau, Cold Reg. Sci. Technol., 175,
103067, https://doi.org/10.1016/j.coldregions.2020.103067, 2020.
Qiu, Y., Wang, X., Han, L., Chang, L., and Shi, L.: Daily fractional snow
cover dataset over High Asia, Science Data Bank, 2, 1–13,
https://doi.org/10.11922/csdata.170.2017.0146, 2017 (in Chinese).
Ran, Y., Li, X., Cheng, G., Zhang, T., Wu, Q., Jin, H., and Jin, R.:
Distribution of permafrost in China: an overview of existing permafrost
maps, Permafrost Periglac., 23, 322–333,
https://doi.org/10.1002/ppp.1756, 2012.
Reuter, H. I., Nelson, A., and Jarvis, A.: An evaluation of void-filling
interpolation methods for SRTM data, Int. J. Geogr. Inf. Sci., 21,
983–1008, https://doi.org/10.1080/13658810601169899, 2007.
Shangguan, W., Dai, Y., Liu, B., Zhu, A., Duan, Q., Wu, L., Ji, D., Ye, A.,
Yuan, H., and Zhang, Q.: A China data set of soil properties for land surface
modeling, J. Adv. Model. Earth Sy., 5, 212–224,
https://doi.org/10.1002/jame.20026, 2013.
Shi, Y. and Mi, D.: Map of snow, ice, and frozen ground in China (1988),
National Tibetan Plateau Data Center [data set],
https://doi.org/10.3972/westdc.020.2013.db, 2013.
Shi, Y., Niu, F., Yang, C., Che, T., Lin, Z., and Luo, J.: Permafrost
presence/absence mapping of the Qinghai-Tibet Plateau based on multi-source
remote sensing data, Remote Sens., 10, 309,
https://doi.org/10.3390/rs10020309, 2018.
Song, C., Wang, G., Mao, T., Dai, J., and Yang, D.: Linkage between
permafrost distribution and river runoff changes across the Arctic and the
Tibetan Plateau, Sci. China Earth Sci., 63, 292–302,
https://doi.org/10.1007/s11430-018-9383-6, 2020.
Van Doninck, J., Peters, J., De Baets, B., De Clercq, E. M., Ducheyne, E., and
Verhoest, N. E. C.: The potential of multitemporal Aqua and Terra MODIS
apparent thermal inertia as a soil moisture indicator, Int. J. Appl. Earth
Obs. Geoinf., 13, 934–941, https://doi.org/10.1016/j.jag.2011.07.003, 2011.
Wan, Z.: New refinements and validation of the MODIS Land-Surface
Temperature/Emissivity products, Remote Sens. Environ., 112, 59–74,
https://doi.org/10.1016/j.rse.2006.06.026, 2008.
Wang, D., Tan, D., and Liu, L.: Particle swarm optimization algorithm: an
overview, Soft Comput., 22, 387–408,
https://doi.org/10.1007/s00500-016-2474-6, 2018.
Wang, L., Du, Z., Wei, Z., Xu, Q., Feng, Y., Lin, P., Lin, J., Chen, S.,
Qiao, Y., and Shi, J.: High methane emissions from thermokarst lakes on the
Tibetan Plateau are largely attributed to ebullition fluxes, Sci. Total
Environ., 801, 149692, https://doi.org/10.1016/j.scitotenv.2021.149692,
2021.
Wang, S., Niu, F., Chen, J., and Dong, Y.: Permafrost research in China
related to express highway construction, Permafrost Periglac., 31, 406–416, https://doi.org/10.1002/ppp.2053, 2020.
Wang, T.: 1:4 million map of the Glaciers, Frozen Ground and Deserts in
China (2006), National Tibetan Plateau Data Center [data set],
https://doi.org/10.3972/westdc.015.2013.db, 2013.
Wang, T., Shi, J., Ma, Y., Husi, L., Comyn Platt, E., Ji, D., Zhao, T., and
Xiong, C.: Recovering land surface temperature under cloudy skies
considering the solar-cloud-satellite geometry: Application to MODIS and
Landsat-8 data, J. Geophys. Res.-Atmos., 124,
3401–3416, https://doi.org/10.1029/2018JD028976, 2019a.
Wang, T., Wu, T., Wang, P., Li, R., Xie, C., and Zou, D.: Spatial
distribution and changes of permafrost on the Qinghai-Tibet Plateau revealed
by statistical models during the period of 1980 to 2010, Sci. Total
Environ., 650, 661–670, https://doi.org/10.1016/j.scitotenv.2018.08.398,
2019b.
Wang, T., Yang, D., Fang, B., Yang, W., Qin, Y., and Wang, Y.: Data-driven
mapping of the spatial distribution and potential changes of frozen ground
over the Tibetan Plateau, Sci. Total Environ., 649, 515–525,
https://doi.org/10.1016/j.scitotenv.2018.08.369, 2019c.
Wang, W., Rinke, A., Moore, J. C., Cui, X., Ji, D., Li, Q., Zhang, N., Wang, C., Zhang, S., Lawrence, D. M., McGuire, A. D., Zhang, W., Delire, C., Koven, C., Saito, K., MacDougall, A., Burke, E., and Decharme, B.: Diagnostic and model dependent uncertainty of simulated Tibetan permafrost area, The Cryosphere, 10, 287–306, https://doi.org/10.5194/tc-10-287-2016, 2016.
Wang, Z., Wang, Q., Zhao, L., Wu, X., Yue, G., Zou, D., Nan, Z., Liu, G.,
Pang, Q., and Fang, H.: Mapping the vegetation distribution of the permafrost
zone on the Qinghai-Tibet Plateau, J Mt. Sci., 13, 1035–1046,
https://doi.org/10.1007/s11629-015-3485-y, 2016.
Westermann, S., Langer, M., and Boike, J.: Systematic bias of average
winter-time land surface temperatures inferred from MODIS at a site on
Svalbard, Norway, Remote Sens. Environ., 118, 162–167,
https://doi.org/10.1016/j.rse.2011.10.025, 2012.
Wu, Q. and Zhang, T.: Recent permafrost warming on the Qinghai-Tibetan
Plateau, J. Geophys. Res.-Atmos., 113, 1–22,
https://doi.org/10.1029/2007JD009539, 2008.
Wu, X., Nan, Z., Zhao, S., Zhao, L., and Cheng, G.: Spatial modeling of
permafrost distribution and properties on the Qinghai-Tibet Plateau,
Permafrost Periglac., 29, 86–99,
https://doi.org/10.1002/ppp.1971, 2018.
Xu, S. and Cheng, J.: A new land surface temperature fusion strategy based
on cumulative distribution function matching and multiresolution Kalman
filtering, Remote Sens. Environ., 254, 112256,
https://doi.org/10.1016/j.rse.2020.112256, 2021.
Xu, Y., Shen, Y., and Wu, Z.: Spatial and temporal variations of land surface
temperature over the Tibetan Platea
u based on harmonic analysis, Mt. Res.
Dev., 33, 85–94, https://doi.org/10.1659/MRD-JOURNAL-D-12-00090.1, 2013.
Yang, M., Wang, X., Pang, G., Wan, G., and Liu, Z.: The Tibetan Plateau
cryosphere: Observations and model simulations for current status and recent
changes, Earth-Sci. Rev., 190, 353–369,
https://doi.org/10.1016/j.earscirev.2018.12.018, 2019.
Yi, S., Wang, X., Qin, Y., Xiang, B., and Ding, Y.: Responses of alpine
grassland on Qinghai–Tibetan plateau to climate warming and permafrost
degradation: a modeling perspective, Environ. Res. Lett., 9, 74014,
https://doi.org/10.1088/1748-9326/9/7/074014, 2014.
Yin, G., Niu, F., Lin, Z., Luo, J., and Liu, M.: Data-driven spatiotemporal
projections of shallow permafrost based on CMIP6 across the Qinghai-Tibet
Plateau at 1 km
2 scale, Adv. Clim. Chang. Res., 12, 814–827,
https://doi.org/10.1016/j.accre.2021.08.009, 2021.
Yokohata, T., Saito, K., Ito, A., Ohno, H., Tanaka, K., Hajima, T., and
Iwahana, G.: Future projection of greenhouse gas emissions due to permafrost
degradation using a simple numerical scheme with a global land surface
model, Prog. Earth Planet. Sci., 7, 1–14,
https://doi.org/10.1186/s40645-020-00366-8, 2020.
Zhang, G., Yao, T., Piao, S., Bolch, T., Xie, H., Chen, D., Gao, Y.,
O'Reilly, C. M., Shum, C. K., and Yang, K.: Extensive and drastically different
alpine lake changes on Asia's high plateaus during the past four decades,
Geophys. Res. Lett., 44, 252–260, https://doi.org/10.1002/2016GL072033,
2017.
Zhang, G., Nan, Z., Wu, X., Ji, H., and Zhao, S.: The role of winter warming
in permafrost change over the Qinghai-Tibet Plateau, Geophys. Res. Lett.,
46, 11261–11269, https://doi.org/10.1029/2019GL084292, 2019.
Zhang, G., Nan, Z., Yin, Z., and Zhao, L.: Isolating the Contributions of
Seasonal Climate Warming to Permafrost Thermal Responses Over the
Qinghai-Tibet Plateau, J. Geophys. Res.-Atmos., 126, e2021JD035218,
https://doi.org/10.1029/2021JD035218, 2021a.
Zhang, G., Nan, Z., Zhao, L., Liang, Y., and Cheng, G.: Qinghai-Tibet Plateau
wetting reduces permafrost thermal responses to climate warming, Earth
Planet. Sc. Lett., 562, 116858, https://doi.org/10.1016/j.epsl.2021.116858,
2021b.
Zhang, G., Nan, Z., Hu, N., Yin, Z., Zhao, L., Cheng, G., and Mu, C.:
Qinghai-Tibet Plateau permafrost at risk in the late 21st century, Earth's
Future, e2022EF002652, https://doi.org/10.1029/2022EF002652, 2022.
Zhang, L., Xia, X., Liu, S., Zhang, S., Li, S., Wang, J., Wang, G., Gao, H.,
Zhang, Z., and Wang, Q.: Significant methane ebullition from alpine
permafrost rivers on the East Qinghai–Tibet Plateau, Nat. Geosci., 13,
349–354, https://doi.org/10.1038/s41561-020-0571-8, 2020.
Zhang, X., Zhou, J., Liang, S., and Wang, D.: A practical reanalysis data and
thermal infrared remote sensing data merging (RTM) method for reconstruction
of a 1-km all-weather land surface temperature, Remote Sens. Environ., 260,
112437, https://doi.org/10.1016/j.rse.2021.112437, 2021.
Zhao, H., Liu, S., Dong, S., Su, X., Wang, X., Wu, X., Wu, L., and Zhang, X.:
Analysis of vegetation change associated with human disturbance using MODIS
data on the rangelands of the Qinghai-Tibet Plateau, Rangeland J.,
37, 77–87, https://doi.org/10.1071/RJ14061, 2015.
Zhao, L., Wu, T., Xie, C., Li, R., Wu, X., Yao, J., Yue, G., and Xiao, Y.:
Support geoscience research, environmental management, and engineering
construction with investigation and monitoring on permafrost in the
Qinghai-Tibet Plateau, China (in Chinese), Bull. Chin. Acad. Sci., 32,
1159–1168, https://doi.org/10.16418/j.issn.1000-3045.2017.10.015, 2017.
Zhao, L., Zou, D., Hu, G., Du, E., Pang, Q., Xiao, Y., Li, R., Sheng, Y.,
Wu, X., and Sun, Z.: Changing climate and the permafrost environment on the
Qinghai-Tibet (Xizang) plateau, Permafrost Periglac., 31,
396–405, https://doi.org/10.1002/ppp.2056, 2020.
Zhao, L., Zou, D., Hu, G., Wu, T., Du, E., Liu, G., Xiao, Y., Li, R., Pang, Q., Qiao, Y., Wu, X., Sun, Z., Xing, Z., Sheng, Y., Zhao, Y., Shi, J., Xie, C., Wang, L., Wang, C., and Cheng, G.: A synthesis dataset of permafrost thermal state for the Qinghai–Tibet (Xizang) Plateau, China, Earth Syst. Sci. Data, 13, 4207–4218, https://doi.org/10.5194/essd-13-4207-2021, 2021.
Zhao, S. P., Nan, Z. T., Huang, Y. B., and Zhao, L.: The application and
evaluation of simple permafrost distribution models on the Qinghai-Tibet
Plateau, Permafrost Periglac., 28, 391–404,
https://doi.org/10.1002/ppp.1939, 2017.
Zou, D., Zhao, L., Wu, T., Wu, X., Pang, Q., and Wang, Z.: Modeling ground
surface temperature by means of remote sensing data in high-altitude areas:
test in the central Tibetan Plateau with application of moderate-resolution
imaging spectroradiometer Terra/Aqua land surface temperature and
ground-based infrared radiometer, J. Appl. Remote Sens., 8,
83516, https://doi.org/10.1117/1.JRS.8.083516, 2014.
Zou, D., Zhao, L., Sheng, Y., Chen, J., Hu, G., Wu, T., Wu, J., Xie, C., Wu, X., Pang, Q., Wang, W., Du, E., Li, W., Liu, G., Li, J., Qin, Y., Qiao, Y., Wang, Z., Shi, J., and Cheng, G.: A new map of permafrost distribution on the Tibetan Plateau, The Cryosphere, 11, 2527–2542, https://doi.org/10.5194/tc-11-2527-2017, 2017.
