Talent details

Name:Xin LI
Title & Affiliation:Ph.D, Professor
Tel:010-84249063
Email:xinli@itpcas.ac.cn
Homepage in Chinese:http://sourcedb.itpcas.cas.cn/cn/expert/201806/t20180619_5027698.html
Address:Building 3, Courtyard 16, Lin Cui Road, Chaoyang District, Beijing 100101P.R. China

Education and Appointments

Education

1992-1998, Ph.D. in Physical Geography, Chinese Academy of Sciences

1988-1992, B.S. in GIS and Cartography, Department of Geo and Ocean Sciences, Nanjing University

Appointments

2023, Professor and Deputy Director, Institute of Tibetan Plateau Research, Chinese Academy of Sciences

2018-2023, Professor, Institute of Tibetan Plateau Research, Chinese Academy of Sciences

2014, Distinguished Professor, CAS Center for Excellence in Tibetan Plateau Earth Sciences

2014, Professor, University of Chinese Academy of Sciences

2000-2017, Professor, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences

1999-2000, Research Associate Professor, Lanzhou Institute of Glaciology and Geocryology, Chinese Academy of Sciences

Research Interest

Research Interests: Land data assimilation, application of remote sensing and GIS in hydrology, application of remote sensing and GIS in cryospheric science, integrated watershed study.

Research Fields: Data Assimilation, Remote Sensing

Selected Publications

Publications in the recent 5 years (2021-2025) (* corresponding author; Including books and book chapters)

Xin Li has published more than 500 journal articles and authored or coauthored 14 books. Total citations to these publications are 34,000+ and h-index is 93+. The publication of the past 5 years (2021-2025) is shown as below:

Part 1: 10 representative publications

1. Li, X.*, Guo, H.D., Cheng, G.D., Song, X.Y., Ran, Y.H., Feng, M., Che, T., Li, X.W., Wang, L., Duan, A.M., Shangguan, D.H., Chen, D.L., Jin, R., Deng, J., Su, J.B., Cao, B., 2025. Polar regions are critical in achieving global sustainable development goals. Nature Communications, 16(1): 3879, doi: 10.1038/s41467-025-59178-3.

2. Li, X.*, Guo, Y.L.*, 2025. Paradigm shifts from data-intensive science to robot scientists. Science Bulletin, 70(1): 1418, doi: 10.1016/j.scib.2024.09.029.

3. Li, X.*, Liu, F.*, 2025. A mathematical comparison of data assimilation and machine learning in earth system state estimation from a Bayesian inference viewpoint. Information Geography, 1(1): 100001, doi: 10.1016/j.infgeo.2025.100001.

4. Li, X., Liu, F., Ma, C.F., Hou, J.L., Zheng, D.H., Ma, H.Q., Bai, Y.L., Han, X.J., Vereecken, H., Yang, K., Duan, Q.Y., Huang, C.L., 2024. Land data assimilation: Harmonizing theory and data in land surface process studies. Reviews of Geophysics, 62(1): e2022RG000801, doi: 10.1029/2022RG000801.

5. Miao, C.Y., Immerzeel, W.W., Xu, B.Q., Yang, K., Duan, Q.Y., Li, X.*, 2024. Understanding the Asian water tower requires a redesigned precipitation observation strategy. Proceedings of the National Academy of Sciences, 121(23): e2403557121, doi: 10.1073/pnas.2403557121.

6. Li, X.*, Feng, M.*, Ran, Y.H., Su, Y., Liu, F., Huang, C.L., Shen, H.F., Xiao, Q., Su, J.B., Yuan, S.W., Guo, H.D. Big Data in Earth system science and progress towards a digital twin. Nature Reviews Earth & Environment, 2023, 4(5): 319-332, doi: 10.1038/s43017-023-00409-w.

7. Li, X.*, Cheng, G.D., Fu, B.J., Xia, J., Zhang, L., Yang, D.W., Zheng, C.M., Liu, S.M., Li, X.B., Song, C.Q., Kang, S.Z., Li, X.Y., Che, T., Zheng, Y., Zhou, Y.Z., Wang, H.B., Ran, Y.H. Linking critical zone with watershed science: The example of the Heihe River basin. Earth's Future, 2022, 10(11): e2022EF002966, doi: 10.1029/2022EF002966.

8. Fang, M., Li, X.*, Chen, H.W.*, Chen, D. Arctic amplification modulated by Atlantic Multidecadal Oscillation and greenhouse forcing on multidecadal to century scales. Nature Communications, 2022, 13(1): 1865, doi: 10.1038/s41467-022-29523-x.

9. Li, X.*, Cheng, G.D., Wang, L.X., Wang, J.L., Ran, Y.H., Che, T., Li, G.Q., He, H.L., Zhang, Q., Jiang, X.Y., Zou, Z.M., Zhao, G.F. Boosting geoscience data sharing in China. Nature Geoscience, 2021, 14(8): 541-542, doi: 10.1038/s41561-021-00808-y.

10. Li, X.*, Zhang, L.*, Zheng, Y., Yang, D.W., Wu, F., Tian, Y., Han, F., Gao, B., Li, H.Y., Zhang, Y.L., Ge, Y.C., Cheng, G.D., Fu, B.J., Xia, J., Song, C.Q., Zheng, C.M., 2021. Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin. Environmental modelling & Software, 141: 105058, doi: 10.1016/j.envsoft.2021.105058.

Part 2: all other publications (exclude part 1)

Book and Special Issue Edited

1. Li, X., Duan, A.M., Shangguan, D.H., Wang, L., Li, C.L., Che, T., Li, X.W., Jin, R., Ran, Y.H., 2024. Earth's three poles: Challenges of sustainable development in fragile environments. Beijing: Science Press.

2. Li, X., Liu, S.M., Liu, Q.H., Xiao, Q., Ma, M.G., Jin, R., Che, T., Guo, J.W., Ran, Y.H., Wang, W.Z., Qi, Y., 2022. Heihe River ecohydrological remote sensing experiment. Beijing: Science Press.

3. Li, X., Qi, Y., Song, X.Y., 2022. Changes and impacts of human activities in Qilian Mountains. Beijing: Science Press.

4. Li, X., Che, T., Duan, A.M., Li, X.W., Wang, L., Zhang, Y.J., Shangguan, D.Y., 2021. Earth's three poles: Outposts of global changes. Beijing: Science Press.

5. Carlson, D., Sparrow, M., Li, X., Feng, M., Che, T., 2021. Extreme environment datasets for the three poles. Earth System Science Data. https://essd.copernicus.org/articles/special_issue1144.html

 

Peer Reviewed Journal Papers (2021-2025)

1. Ding, L., Bai, Y.L., Zheng, D.H., Pan, X.D., Fan, M.H.,Li, X.*, 2025. Chaotic climate system forecasting using an improved echo state network with sparse observations. Science China Earth Sciences, 68(7): 23462360, doi: 10.1007/s11430-024-1593-9.

2. Zhao, Z.B., Jin, R.*, Li, X.*, Ma, C.F., Li, D.Z., Wang, W.Z., Zhu, Z.L., 2025. Blind source separation for alleviating the ill-posednessof estimating soil moisture from nonstationary time series of passive microwave brightness temperatures. IEEE Transactions on Geoscience and Remote Sensing, 63: 118, doi: 10.1109/TGRS.2025.3573374.

3. Lan, S.T., Cao, B.*, Li, X.*, Sun, W., Wang, S.D., Ma, R., Sun, Z.Y., Guo, X.J., 2025. Improved JRA-3Q soil temperature in permafrost regions. Journal of Climate, 38(7): 16111625, doi: 10.1175/JCLI-D-24-0267.1.

4. Wang, B., Zhu, G.F.*, Zhong, J.T., Ma, C.F., Zhang, L., Tan, M.B., Li, X.*, 2025. Uncertainty analysis and parameter optimization of a water yield ecosystem service model: A case study of the Qilian Mountains, China. Science of The Total Environment, 966: 178772, doi: 10.1016/j.scitotenv.2025.178772.

5. Wang, Y.Z., Zheng, D.H.*, Zhang, G.Q., Carrivick, J.L., Bolch, T., Ren, W.W., Guo, L., Su, J.B., Yuan, S.W., Li, X.*, 2025. Patterns and change rates of glacial lake water levels across High Mountain Asia. National Science Review, 12(3): nwaf041, doi: 10.1093/nsr/nwaf041.

6. Li, X.*, Guo, Y.L.*, 2025. Paradigm shifts from data-intensive science to robot scientists. Science Bulletin, 70(1): 1418, doi: 10.1016/j.scib.2024.09.029.

7. Pan, X.D., Chen, D.L., Pan, B.X., Huang, X.Z., Yang, K., Piao, S.L., Zhou, T.J., Dai, Y.J., Chen, F.H.*, Li, X.*, 2025. Evolution and prospects of Earth system models: Challenges and opportunities. Earth-Science Reviews, 260: 104986, doi: 10.1016/j.earscirev.2024.104986.

8. Zhao, Y.F., Yao, Y.Y., Jin, H.J., Li, X., Cao, B., Ran, Y.H., Kuang, X.X., Zheng, C.M., 2025. TTOP model simulation of long-term (19812100) permafrost dynamics of the Tibetan Plateau. Geoderma, 457: 117287, doi: 10.1016/j.geoderma.2025.117287.

9. Jiang, D.C., Feng, M., Yan, D.Z., Wang, Y.Z., Xu, J.H., Wang, N., Wang, J.B., Li, X., 2025. Mapping taluses using deep learning and high-resolution satellite images. International Journal of Digital Earth, 18(1): 2484466, doi: 10.1080/17538947.2025.2484466.

10. Zhang, Y.L., Zhao, P., Li, X., Yang, B.S., Zhao, J., Hu, J.Z., Wei, Q., Li, K.G., He, M.L., 2025. Retrieval of terrain surface elevation in mountainous areas with ICESat-2/ATLAS. Remote Sensing of Environment, 327: 114823, doi: 10.1016/j.rse.2025.114823.

11. Wang, X.F., Che, T., Xiao, J.F., Wang, T.H., Tan, J.L., Zhang, Y., Ren, Z.G., Geng, L.Y., Wang, H.B., Xu, Z.W., Liu, S.M., Li, X., 2025. A post-processed carbon flux dataset for 34 eddy covariance flux sites across the Heihe River basin, China. Earth System Science Data, 17(4): 13291346, doi: 10.5194/essd-17-1329-2025.

12. Jiang, Y.Z., Tang, W.J., Yang, K., He, J., Shao, C.K., Zhou, X., Lu, H., Chen, Y.Y., Li, X., Shi, J.C., 2025. Development of a high-resolution near-surface meteorological forcing dataset for the Third Pole region. Science China Earth Sciences, 68(4): 12741290, doi: 10.1007/s11430-024-1507-6.

13. Zhang, Z., Poulter, B., Melton, J.R., Riley, W.J., Allen, G.H., Beerling, D.J., Bousquet, P., Canadell, J.G., Fluet-Chouinard, E., Ciais, P., Gedney, N., Hopcroft, P.O., Ito, A., Jackson, R.B., Jain, A.K., Jensen, K., Joos, F., Kleinen, T., Knox, S.H., Li, T.T., Li, X., Liu, X.Y., McDonald, K., McNicol, G., Miller, P.A., Müller, J., Patra, P.K., Peng, C.H., Peng, S.S., Qin, Z.C., Riggs, R.M., Saunois, M., Sun, Q., Tian, H.Q., Xu, X.M., Yao, Y.Z., Yi, X., Zhang, W.X., Zhu, Q., Zhu, Q.A., Zhuang, Q.L., 2025. Ensemble estimates of global wetland methane emissions over 20002020. Biogeosciences, 22(1): 305321, doi: 10.5194/bg-22-305-2025.

14. Yan, D.Z., Feng, M., Hu, Z.Y., Xu, J.H., Li, X., 2025. Improving permafrost mapping in southern Tibetan Plateau using machine learning and rock glacier inventory. Permafrost and Periglacial Processes, 36(2): 230244, doi: 10.1002/ppp.2266.

15. Xing, Z.P., Zhao, L., Fan, L., De Lannoy, G., Bai, X.J., Liu, X.Z., Peng, J., Frappart, F., Yang, K., Li, X., Zhou, Z.L., Li, X.J., Zeng, J.Y., Zou, D.F., Du, E.J., Wang, C., Wang, L.X., Li, Z.B., Wigneron, J.P., 2025. Retrieval of 1 km surface soil moisture from Sentinel-1 over bare soil and grassland on the Qinghai-Tibetan Plateau. Remote Sensing of Environment, 318: 114563, doi: 10.1016/j.rse.2024.114563.

16. Wang, K., Wu, Y., Qiu, X.L., Zhu, J.B., Zheng, D.H., Shangguan, S.T., Pan, J., Liu, Y.Q., Jiang, L.M., Li, X., 2025. A novel airborne TomoSAR 3-D focusing method for accurate ice thickness and glacier volume estimation. ISPRS Journal of Photogrammetry and Remote Sensing, 220: 593607, doi: 10.1016/j.isprsjprs.2025.01.011.

17. Nasta, P., Blöschl, G., Bogena, H.R., Zacharias, S., Baatz, R., De Lannoy, G., Jensen, K.H., Manfreda, S., Pfister, L., Tarquis, A.M., Van Meerveld, I., Voltz, M., Zeng, Y.J., Kustas, W., Li, X., Vereecken, H., Romano, N., 2025. HESS opinions: Towards a common vision for the future of hydrological observatories. Hydrology and Earth System Sciences, 29(2): 465483, doi: 10.5194/hess-29-465-2025.

18. Luan, W.F., Li, X., Kuang, W.H., Su, J.B., Xue, H.Z., Zhang, K.X., Zhu, J.Y., Li, G., 2025. Quantitative assessment of the water stress in the TigrisEuphrates River Basin driven by anthropogenic impacts. Remote Sensing, 17(4): 662, doi: 10.3390/rs17040662.

19. Guo, L., Li, J., Charrier, L., Dehecq, A., Beraud, L., Li, Z.W., Li, X., Zhu, J.J., Li, L., Wang, Y.Z., 2025. Surging processes and mechanisms at small glaciers in the Qilian Mountains, northwestern China, revealed by long-term, temporally dense remote sensing observations. Journal of Geophysical Research: Earth Surface, 130(6): e2024JF008157, doi: 10.1029/2024JF008157.

20. Li, X., 2024. Academician Guodong Cheng's contributions to permafrost science. Permafrost and Periglacial Processes, 35(3): 395411, doi: 10.1002/ppp.2225.

21. Li, X., Su, J.B., 2023. Towards good governance of data: A case study in geoscience data governance. Chinese Science Bulletin, 69(9): 11491155, doi: 10.1360/TB-2023-0590 (in Chinese with English abstract).

22. Li, G.S., Tan, L.H., Yang, B., Che, T., Feng, G.C., Ljungqvist, F.C., Luo, Y.Y., Du, H.Q., Zhao, H., Zhang, Y., Huang, C.L., Huang, N., Tang, W.J., Jin, R., Li, X.*, 2024. Site selection of desert solar farms based on heterogeneous sand flux. npj Climate and Atmospheric Science, 7(1): 61, doi: 10.1038/s41612-024-00606-4.

23. Wang, Y.Z., Zheng, D.H., Zhou, Y.S.*, Nian, Y.Y., Ren, S.S., Ren, W.W., Zhu, Z.Z., Tang, Z.G., Li, X.*, 2024. Glacier mass change and evolution of Petrov Lake in the Ak-Shyirak massif, central Tien Shan, from 1973 to 2023 using multisource satellite data. Remote Sensing of Environment, 315: 114437, doi: 10.1016/j.rse.2024.114437.

24. Ma, Y.M., Xie, Z.P.*, Chen, Y.Y.*, Liu, S.M., Che, T., Xu, Z.W., Shang, L.Y., He, X.B., Meng, X.H., Ma, W.Q., Xu, B.Q., Zhao, H.B., Wang, J.B., Wu, G.J., Li, X.*, 2024. Dataset of spatially extensive long-term quality-assured landatmosphere interactions over the Tibetan Plateau. Earth System Science Data, 16(6): 30173043, doi: 10.5194/essd-16-3017-2024.

25. Zhou, Y.S., Li, X.*, Zheng, D.H., Ren, S.S., Wang, Y.Z., Li, Z.W., 2024. Data, methods and perspectives of optical stereo and bistatic SAR satellites for monitoring glacier thickness change in High-Mountain Asia. Acta Geodaetica et Cartographica Sinica, 53(5): 779–800, doi: 10.11947/j.AGCS.2024.20230260 (in Chinese with English abstract).

26. Shi, Z.F., Li, X.*, Sun, Z.Y.*, Ma, R., Cao, B., 2024. Simulation of water and heat processes of permafrost and seasonally frozen soil in the upper reaches of the Heihe River based on the SHAW model. Journal of Glaciology and Geocryology, 46(5): 16781691, doi: 10.7522/j.issn.1000-0240.2024.0131 (in Chinese with English abstract).

27. Hu, Y.X., Che, T., Dai, L.Y., Zhu, Y., Xiao, L., Deng, J., Li, X., 2024. A long-term daily gridded snow depth dataset for the Northern Hemisphere from 1980 to 2019 based on machine learning. Big Earth Data, 8(2): 274301, doi: 10.1080/20964471.2023.2177435.

28. Zhou, Y.Z., Liu, H.P., Sühring, M., Li, X., 2024. Implications of energy balance non-closure on carbon dioxide flux uncertainties: Insights from large eddy simulations in convective boundary layers. Agricultural and Forest Meteorology, 358: 110211, doi: 10.1016/j.agrformet.2024.110211.

29. Fang, H.Q., Fan, L., Ciais, P., Xiao, J.F., Fensholt, R., Chen, J.M., Frappart, F., Ju, W.M., Niu, S.L., Xiao, X.M., Yuan, W.P., Xia, J.Z., Li, X., Liu, L.Y., Qin, Y.W., Chang, Z.B., Yu, L., Dong, G.Y., Cui, T.X., Li, X.J., Wigneron, J.P., 2024. Satellite-based monitoring of Chinas above-ground biomass carbon sink from 2015 to 2021. Agricultural and Forest Meteorology, 356: 110172, doi: 10.1016/j.agrformet.2024.110172.

30. Zhang, Y.L., Li, X., Chang, X.L., Luo, D.L., Wang, X., Cheng, G.D., 2024. Impacts of topographic shadows cast by surrounding terrain on the solar irradiance on glacierssurface in High Mountain Asia (HMA). Atmospheric Research, 307: 107511, doi: 10.1016/j.atmosres.2024.107511.

31. He, X.L., Liu, S.M., Bateni, S.M., Xu, T.R., Jun, C.H., Kim, D.K., Li, X., Song, L.S., Zhao, L., Xu, Z.W., Wei, J.X., 2024. Innovative approach for estimating evapotranspiration and gross primary productivity by integrating land data assimilation, machine learning, and multi-source observations. Agricultural and Forest Meteorology, 355: 110136, doi: 10.1016/j.agrformet.2024.110136.

32. Zhang, P., Zheng, D.H., van der Velde, R., Zeng, J.Y., Wang, X., Wang, Z.L., Zeng, Y.J., Wen, J., Li, X., Su, Z.B., 2024. Assessment of long-term multisource surface and subsurface soil moisture products and estimate methods on the Tibetan Plateau. Journal of Hydrology, 640: 131713, doi: 10.1016/j.jhydrol.2024.131713.

33. Fan, L., Cui, T.X., Wigneron, J.P., Ciais, P., Sitch, S., Brandt, M., Li, X., Niu, S.L., Xiao, X.M., Chave, J., Wu, C.Y., Li, W., Yuan, W.P., Xing, Z.P., Li, X.J., Wang, M.J., Liu, X.Z., Chen, X.Z., Qin, Y.W., Yang, H., Tang, Q., Li, Y.C., Ma, M.G., Fensholt, R., 2024. Dominant role of the non-forest woody vegetation in the post 2015/16 El Niño tropical carbon recovery. Global Change Biology, 30(7): e17423, doi: 10.1111/gcb.17423.

34. Guo, L., Ran, Y.H., Li, X., Jin, H.J., Cheng, G.D., 2024. Sensitivity of permafrost degradation to geological and climatic conditions. Permafrost and Periglacial Processes, 35(4): 450460, doi: 10.1002/ppp.2245.

35. Tan, M.B., Ran, Y.H., Feng, M., Dong, G.T., Du, D.Y., Zhu, G.F., Nian, Y.Y., Li, X., 2024. Long-term monitoring of the annual irrigated cropland extent in fragmented and heterogeneous arid landscapes using machine learning and Landsat imagery. Water Resources Research, 60(6): e2023WR036945, doi: 10.1029/2023WR036945.

36. Ye, Q.H., Wang, Y.Z., Liu, L., Guo, L.N., Zhang, X.Q., Dai, L.Y., Zhai, L.M., Hu, Y.F., Ali, N., Ji, X.H., Ran, Y.H., Qiu, Y.B., Shi, L.J., Che, T., Wang, N.L., Li, X., Zhu, L.P., 2024. Remote sensing and modeling of the cryosphere in High Mountain Asia: A multidisciplinary review. Remote Sensing, 16(10): 1709, doi: 10.3390/rs16101709.

37. Shi, K.D., Su, Y.N., Xu, J.H., Sui, Y.J., He, Z.Y., Hu, Z.Y., Li, X., Vereecken, H., Feng, M., 2024. Identifying reservoirs in northwestern Iran using high-resolution satellite images and deep learning. Geo-spatial Information Science, 27(3): 922933, doi: 10.1080/10095020.2024.2358892.

38. Miao, M., Zhang, M., Wang, S.J., Sun, Z.Y., Li, X., Yuan, X.L., Yang, G.Q., Hu, Z.Z., Zhang, S.D., 2024. Effect of oasis and irrigation on mountain precipitation in the northern slope of Tianshan Mountains based on stable isotopes. Journal of Hydrology, 635: 131151, doi: 10.1016/j.jhydrol.2024.131151.

39. Zhang, T., Wang, Y.Z., Leng, W., Zhao, H.Y., Colgan, W., Wang, C., Ding, M.H., Sun, W.J., Yang, W., Li, X., Ren, J.W., Xiao, C.D., 2024. Projections of peak water timing from the East Rongbuk Glacier, Mt. Everest, using a higher-order ice flow model. Earths Future, 12(5): e2024EF004545, doi: 10.1029/2024EF004545.

40. Zhong, W.J., Li, J., Li, X., Feng, J.J., Guo, L., Li, Z.Q., Wu, J.H., Kong, L.S., 2024. A discontinuity-guided two-dimensional phase unwrapping method for SAR interferograms. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17: 93099323, doi: 10.1109/JSTARS.2024.3392637.

41. Ge, Y.C., Han, F., Wu, F., Zhao, Y.B., Li, H.Y., Tian, Y., Zheng, Y., Luan, W.F., Zhang, L., Cai, X.M., Ma, C.F., Li, X., 2024. Sustainable decision making based on systems integration and decision support system promoting endorheic basin sustainability. Decision Support Systems, 179: 114169, doi: 10.1016/j.dss.2024.114169.

42. Jiang, Q., Cioffi, F., Li, W.Y., Tan, J.K., Pan, X.D., Li, X., 2024. Hybrid multilayer perceptron and convolutional neural network model to predict extreme regional precipitation dominated by the large-scale atmospheric circulation. Atmospheric Research, 304: 107362, doi: 10.1016/j.atmosres.2024.107362.

43. Chai, L.N., Zhu, Z.L., Liu, S.M., Xu, Z.W., Jin, R., Li, X., Kang, J., Che, T., Zhang, Y., Zhang, J.S., Cui, H.J., Gao, T.S., Xu, T.R., Zhao, S.J., Pan, X.D., Guo, G., 2024. QLB-NET: A dense soil moisture and freezethaw monitoring network in the Qinghai Lake Basin on the QinghaiTibetan Plateau. Bulletin of the American Meteorological Society, 105(3): E584E604, doi: 10.1175/BAMS-D-23-0186.1.

44. Ren, W.W., Zhu, Z.Z., Wang, Y.Z., Su, J.B., Zeng, R.J., Zheng, D.H., Li, X., 2024. Comparison of machine learning models in simulating glacier mass balance: Insights from maritime and continental glaciers in High Mountain Asia. Remote Sensing, 16(6): 956, doi: 10.3390/rs16060956.

45. Lan, S.T., Cao, B., Hu, Y., Sun, Z.Y., Ma, R., Li, X., 2024. Talus and its cooling effects on the thermal regime of permafrost: A review. Permafrost and Periglacial Processes, 35(1): 6075, doi: 10.1002/ppp.2213.

46. Xue, Y.K., Diallo, I., Boone, A.A., Zhang, Y., Zeng, X.B., Lau, W.K.M., Neelin, J.D., Yao, T.D., Tang, Q., Sato, T., Koo, M.S., Vitart, F., Ardilouze, C., Saha, S.K., Materia, S., Lin, Z.H., Takaya, Y., Yang, J., Nakamura, T., Qi, X., Qin, Y., Nobre, P., Senan, R., Wang, H.L., Zhang, H.L., Zhao, M., Nayak, H.P., Pan, Y., Pan, X.D., Feng, J.M., Shi, C.X., Xie, S.C., Brunke, M.A., Bao, Q., Bottino, M.J., Fan, T.Y., Hong, S.Y., Lin, Y.L., Peano, D., Zhan, Y.L., Mechoso, C.R., Ren, X.J., Balsamo, G., Chou, S.C., de Rosnay, P., van Oevelen, P.J., Klocke, D., Ek, M., Li, X., Guo, W.D., Zhu, Y.J., Tang, J.P., Liang, X.Z., Qian, Y., Zhao, P., 2024. Remote effects of Tibetan Plateau spring land temperature on global subseasonal to seasonal precipitation prediction and comparison with effects of sea surface temperature: The GEWEX/LS4P Phase I experiment. Climate Dynamics, 62: 26032628, doi: 10.1007/s00382-023-06905-5.

47. Nie, X.W., Pan, X.D., Li, X., Wang, S.Y., Jin, J., Yang, Y., 2024. Dynamic security assessment mechanism for the entire lifecycle of scientific data. Chinese Science Bulletin, 69(17): 23602367, doi: 10.1360/TB-2023-1224 (in Chinese with English abstract).

48. Su, J.B., Chen, D.X., Zheng, D.H., Su, Y., Li, X.*, 2023. The insight of why: Causal inference in Earth system science. Science China Earth Sciences, 66(10): 21692186, doi: 10.1007/s11430-023-1148-7.

49. Li, X*., 2023. Big Earth Data boost UN SDGs. Science Bulletin, 68(8): 773-774, doi: 10.1016/j.scib.2023.03.045.

50. Zhang, M., Zhou, Y.Z., Li, X.*, Sun, Z.Y., Yang, G.Q., Xie, Z.H., 2023. Quantifying the contributions of regional human activities and global climate change to the regional climate in a typical mountain-oasis-desert system of arid central Asia from 1979 to 2018. Journal of Geophysical Research: Atmospheres, 128(1): e2022JD037110, doi: 10.1029/2022JD037110.

51. Guo, Y.L., Zhao, Z.F., Yuan, S.W., Li, X.*, 2023. A greener Loess Plateau in the future: moderate warming will expand the potential distribution areas of woody species. Environmental Research Letters, 18(3): 034027, doi: 10.1088/1748-9326/acb9a8.

52. Li, X.*, Liu, S.M., Liu, Q.H., Xiao, Q., Che, T., Ma, M.G., Jin, R., Ran, Y.H., Wen, J.G., Xu, Z.W., Li, Z.Y., 2023. Heihe remote sensing experiments: Retrospect and prospect. National Remote Sensing Bulletin, 27(2): 224-248, doi: 10.11834/jrs.20235013 (in Chinese with English abstract).

53. Chang, Z.B., Fan, L., Wigneron, J.P., Wang, Y.P., Ciais, P., Chave, J., Fensholt, R., Chen, J.M., Yuan, W.P., Ju, W.M., Li, X., Jiang, F., Wu, M.S., Chen, X.Z., Qin, Y.W., Frappart, F., Li, X.J., Wang, M.J., Liu, X.Z., Tang, X.L., Hobeichi, S., Yu, M.X., Ma, M.G., Wen, J.G., Xiao, Q., Shi, W.Y., Liu, D.X., Yan, J.H., 2023. Estimating aboveground carbon dynamic of China using optical and microwave remote-sensing datasets from 2013 to 2019. Journal of Remote Sensing, 3: 0005, doi: 10.34133/remotesensing.0005.

54. Guo, L., Li, J., Dehecq, A., Li, Z.W., Li, X., Zhu, J.J., 2023. A new inventory of High Mountain Asia surging glaciers derived from multiple elevation datasets since the 1970s. Earth System Science Data, 15(7): 28412861, doi: 10.5194/essd-15-2841-2023.

55. Han, F., Zheng, Y., Zhang, L., Xiong, R., Hu, Z.P., Tian, Y., Li, X., 2023. Simulating drip irrigation in large-scale and high-resolution ecohydrological models: From emitters to the basin. Agricultural Water Management, 289: 108500, doi: 10.1016/j.agwat.2023.108500.

56. Jamal, K., Li, X., Chen, Y.Y., Rizwan, M., Khan, M.A., Syed, Z., Mahmood, P., 2023. Bias correction and projection of temperature over the altitudes of the Upper Indus Basin under CMIP6 climate scenarios from 1985 to 2100. Journal of Water and Climate Change, 14(7): 24902514, doi: 10.2166/wcc.2023.180.

57. Jamal, K., Li, X., Chen, Y.Y., Haider, S., Rizwan, M., Ahmad, S., 2023. Development of daily bias-corrected ensemble precipitation estimates over the Upper Indus Basin of the Hindukush-Karakoram-Himalaya. Journal of Water and Climate Change, 14(10): 35173538, doi: 10.2166/wcc.2023.202.

58. Lin, J.Y., Bryan, B.A., Zhou, X.D., Lin, P.R., Do, H.X., Gao, L., Gu, X.C., Liu, Z.F., Wan, L.W., Tong, S.L., Huang, J.C., Wang, Q., Zhang, Y., Gao, H.K., Yin, J.B., Chen, Z.L., Duan, W.L., Xie, Z.Y., Cui, T., Liu, J.Z., Li, M.Q., Li, X.D., Xu, Z.W., Guo, F., Shu, L.L., Li, B., Zhang, J.W., Zhang, P.P., Fan, B., Wang, Y.W., Zhang, Y.F., Huang, J.L., Li, X., Cai, Y.P., Yang, Z.F., 2023. Making Chinas water data accessible, usable and shareable. Nature Water, 1(4): 328335, doi: 10.1038/s44221-023-00039-y.

59. Liu, S.M., Xu, Z.W., Che, T., Li, X., Xu, T.R., Ren, Z.G., Zhang, Y., Tan, J.L., Song, L.S., Zhou, J., Zhu, Z.L., Yang, X.F., Liu, R., Ma, Y.F., 2023. A dataset of energy, water vapor, and carbon exchange observations in oasisdesert areas from 2012 to 2021 in a typical endorheic basin. Earth System Science Data, 15(11): 49594981, doi: 10.5194/essd-15-4959-2023.

60. Liu, Y.B., Ran, Y.H., Li, X., Che, T., Wu, T.H., 2023. Multisite evaluation of physics-informed deep learning for permafrost prediction in the Qinghai-Tibet Plateau. Cold Regions Science and Technology, 216: 104009, doi: 10.1016/j.coldregions.2023.104009.

61. Luan, W.F., Li, G., Zhong, B., Geng, J.W., Li, X., Li, H., He, S., 2023. Improving dryland urban land cover classification accuracy using a classical convolution neural network. Land, 12(8): 1616, doi: 10.3390/land12081616.

62. Ren, W.W., Li, X., Zheng, D.H., Zeng, R.J., Su, J.B., Mu, T.H., Wang, Y.Z., 2023. Enhancing flood simulation in data-limited glacial river basins through hybrid modeling and multi-source remote sensing data. Remote Sensing, 15(18): 4527, doi: 10.3390/rs15184527.

63. Su, Y.N., Chen, S.Q., Li, X., Ma, S., Xie, T.T., Wang, J.B., Yan, D.Z., Chen, J.H., Feng, M., Chen, F.H., 2023. Changes in vegetation greenness and its response to precipitation seasonality in Central Asia from 1982 to 2022. Environmental Research Letters, 18(10): 104002, doi: 10.1088/1748-9326/acf58e.

64. Wang, T.H., Yang, D.W., Yang, Y.T., Zheng, G.H., Jin, H.J., Li, X., Yao, T.D., Cheng, G.D., 2023. Unsustainable water supply from thawing permafrost on the Tibetan Plateau in a changing climate. Science Bulletin, 68(11): 11051108, doi: 10.1016/j.scib.2023.04.037.

65. Wang, T.H., Yang, D.W., Yang, Y.T., Zheng, G.H., Jin, H.J., Li, X., Yao, T.D., Cheng, G.D., 2023. Pervasive permafrost thaw exacerbates future risk of water shortage across the Tibetan Plateau. Earths Future, 11(10): e2022EF003463, doi: 10.1029/2022EF003463.

66. Yao, Y.Y., Zhao, Y.F., Li, X., Feng, D.P., Shen, C.P., Liu, C.K., Kuang, X.X., Zheng, C.M., 2023. Can transfer learning improve hydrological predictions in the alpine regions? Journal of Hydrology, 625: 130038, doi: 10.1016/j.jhydrol.2023.130038.

67. Zhang, Y.L., Li, X., Chang, X.L., Jin, H.J., Huang, A.N., Liang, J., Cheng, G.D., Wang, X., 2023. Sensitivity of simulated frozen ground temperatures to different solar radiation and air temperature productsA case study in the Qilian Mountains in West China. Permafrost and Periglacial Processes, 34(4): 513529, doi: 10.1002/ppp.2187.

68. Zhou, X., Ding, B.H., Yang, K., Pan, J.M., Ma, X.G., Zhao, L., Li, X., Shi, J.C., 2023. Reducing the cold bias of the WRF model over the Tibetan Plateau by implementing a snow coveragetopography relationship and a fresh snow albedo scheme. Journal of Advances in Modeling Earth Systems, 15(9): e2023MS003626, doi: 10.1029/2023MS003626.

69. Rizwan, M., Li, X., Chen, Y., Anjum, L., Hamid, S., Yamin, M., Chauhdary, J.N., Shahid, M.A., Mehmood, Q., 2023. Simulating future flood risks under climate change in the source region of the Indus River. Journal of Flood Risk Management, 16(1): e12857, doi: 10.1111/JFR3.12857.

70. Bai, X.J., Zheng, D.H., Li, X., Wigneron, J.-P., Van Der Velde, R., Zhang, P., Su, Z.B., 2023. Simulation of SMAP and AMSR2 observations and estimation of multi-frequency vegetation optical depth using a discrete scattering model in the Tibetan grassland. Remote Sensing of Environment, 292: 113592, doi: 10.1016/j.rse.2023.113592.

71. Su, Y., Ran, Y.H., Zhang, G.Q., Li, X., 2023. Remotely sensed lake area changes in permafrost regions of the Arctic and the Tibetan Plateau between 1987 and 2017. Science of the Total Environment, 880: 163355, doi: 10.1016/j.scitotenv.2023.163355.

72. Zhang, Z., Poulter, B., Feldman, A.F., Ying, Q., Ciais, P., Peng, S.S., Li, X., 2023. Recent intensification of wetland methane feedback. Nature Climate Change, 13(5): 430-433, doi: 10.1038/S41558-023-01629-0.

73. Zhou, Y.Z., Sühring, M., Li, X., 2023. Evaluation of energy balance closure adjustment and imbalance prediction methods in the convective boundary layer – A large eddy simulation study. Agricultural and Forest Meteorology, 333: 109382, doi: 10.1016/J.AGRFORMET.2023.109382.

74. Zhou, Y.Z., Ran, Y.H., Li, X., 2023. The contributions of different variables to elevation-dependent land surface temperature changes over the Tibetan Plateau and surrounding regions. Global and Planetary Change, 220: 104010, doi: 10.1016/J.GLOPLACHA.2022.104010.

75. Zhan, C., Chen, Y., Yang, K., Lazhu, Zhou, X., Jiang, Y., Ling, X., Tian, J., Wang, Y., Li, X., Yang, H., 2023. First evaluation of GPM-Era satellite precipitation products with new observations on the western Tibetan Plateau. Atmospheric Research, 283: 106559, doi: 10.1016/J.ATMOSRES.2022.106559.

76. Wang, L., Zhang, F., Wang, G.X., Zeng, C., Chen, Y., Shi, X.N., Tang, H.D., Zhao, G.J., Xu, C.Y., Li, X., 2023. Response of Soil Erosion to Climate and Subsequent Vegetation Changes in a High-Mountain Basin. Sustainability, 15(4): 3220, doi: 10.3390/SU15043220.

77. Tang, W.J., Xu, S., Zhou, X., Yang, K., Wang, Y., Qin, J., Wang, H.K., Li, X., 2023. Meeting China’s electricity demand with renewable energy over Tibetan Plateau. Science Bulletin, 68(1): 39-42, doi: 10.1016/J.SCIB.2022.12.012.

78. Sun, J., Yang, K., Lu, H., Zhou, X., Li, X., Chen, Y., Guo, W., Wright, J.S., 2023. Land–Atmosphere Feedbacks Weaken the Cooling Effect of Soil Organic Matter Property toward Deep Soil on the Eastern Tibetan Plateau. Journal of Hydrometeorology, 24(1): 105-117, doi: 10.1175/JHM-D-22-0074.1.

79. Fan, L., Wigneron, J.-P., Ciais, P., Chave, J., Brandt, M., Sitch, S., Yue, C., Bastos, A., Li, X., Qin, Y.W., Yuan, W.P., Schepaschenko, D., Mukhortova, L., Li, X.J., Liu, X.Z., Wang, M.J., Frappart, F., Xiao, X.M., Chen, J.M., Ma, M.G., Wen, J.G., Chen, X.Z., Yang, H., Van Wees, D., Fensholt, R., 2023. Siberian carbon sink reduced by forest disturbances. Nature Geoscience, 16(1): 56-62, doi: 10.1038/S41561-022-01087-X.

80. Liu, F., Nie, X.W., Wu, A.D., Zhao, Z.B., Ma, C.F., Ning, L.J., Zhu, Y.J., Wang, L.X., Guo, X.J., Li, X., 2023. Data assimilation method for improving the global spatiotemporal predictions of epidemic dynamics yielded by an ensemble Kalman filter and Metropolis–Hastings sampling. Nonlinear Dynamics, doi: 10.1007/s11071-023-08632-2.

81. Jiang, Y.Z., Yang, K., Qi, Y.C., Zhou, X., He, J., Lu, H., Li, X., Chen, Y.Y., Li, X.D., Zhou, B.R., Mamtimin, A., Shao, C.K., Ma, X.G., Tian, J.X., Zhou, J.H., 2023. TPHiPr: a long-term (1979-2020) high-accuracy precipitation dataset (1/30 degrees, daily) for the Third Pole region based on high-resolution atmospheric modeling and dense observations. Earth System Science Data, 15(2): 621-638, doi: 10.5194/ESSD-15-621-2023.

82. Liu, Y., Wang, K.L., Xing, X.Y., Guo, H., Zhang, W.Y., Luo, Q.Y., Gao, S., Huang, Z., Li, H.F., Li, X., Wang, J.E., Wang, J.F., Zhu, D., 2023. On spatial effects in geographical analysis. Acta Geographica Sinica, 78(3): 517531, doi: 10.11821/dlxb202303001 (in Chinese with English abstract).

83. Liu, Q.H., Wen, J.G., Zhou, X., Zhao, J., Li, Z.Y., Li, X., Ma, M.G., Wang, W.Z., Liao, X.H., Liu, S.M., Fan, W.J., Xiao, Q., Zhong, B., Li, J., Xin, X.Z., Li, L., Jia, L., Gao, Z.H., Jin, J.D., Liang, S., Xing, J., Liao, C.J., Wu, Y.R., 2023. Technique system of remote sensing product generation and validation of GF common products. National Remote Sensing Bulletin, 27(3): 544562, doi: 10.11834/jrs.20232531 (in Chinese with English abstract).

84. Wen, J.G., Liu, Q.H., Li, Z.Y., Li, X., Liu, S.M., Xiao, Q., Gao, Z.H., Ma, M.G., Che, T., Liu, L.Y., Fang, H.L., Yan, G.J., Ge, Y., Chen, E.X., Zhang, Y., Ma, L.L., Wu, X.D., Chen, X., 2023. A review of the development of remote sensing field experiments and product validation in China. National Remote Sensing Bulletin, 27(3): 573583, doi: 10.11834/jrs.20232673 (in Chinese with English abstract).

85. Xu, Z.W., Liu, S.M., Li, X., Xu, T.R., Zhu, Z.L., 2023. Water vaporheatcarbon fluxes and meteorological observation matrix dataset in 2012 over Zhangye oasisdesert area. China Scientific Data, 8(3): 321333, doi: 10.11922/11-6035.csd.2023.0108.zh (in Chinese with English abstract).

86. Li, X.*, Zheng, D.H., Feng, M., Chen, F.H., 2022. Information geography: The information revolution reshapes geography. Science China Earth Sciences, 65(2): 379-382, doi: 10.1007/s11430-021-9857-5.

87. Li, X.*, Yuan, L.W., Pei, T., Huang, X., Liu, G., Zheng, D.H., 2022. Disciplinary structure and development strategy of information geography in China. Journal of Geographical Sciences, 32(9): 1670-1682, doi: 10.1007/s11442-022-2017-2.

88. Zhou, Y.S., Li, X.*, Zheng, D.H.*, Li, Z.W., 2022. Evolution of geodetic mass balance over the largest lake-terminating glacier in the Tibetan Plateau with a revised radar penetration depth based on multi-source high-resolution satellite data. Remote Sensing of Environment, 275: 113029, doi: 10.1016/j.rse.2022.113029.

89. Ge, Y.C.*, Li, X.*, Cheng, G.D., Fu, B.J., Liu, J.G., Gao, L., Zhong, F.L., Zhang, L., Wang, S.T., 2022. What dominates sustainability in endorheic regions? Science Bulletin, 67(16): 1636-1640, doi: 10.1016/j.scib.2022.07.009.

90. Liu, F., Zhao, Z.B., Li, X.*, 2022. Quantifying the representativeness errors caused by scale transformation of remote sensing data in stochastic ensemble data assimilation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15: 1968-1980, doi: 10.1109/JSTARS.2022.3149957.

91. Liu, F., Zhao, Z.B., Ma, C.F., Nie, X.W., Wu, A.D., Li, X.*, 2022. Return to normal pre-COVID-19 life is delayed by inequitable vaccine allocation and SARS-CoV-2 variants. Epidemiology and Infection, 150: e46, doi: 10.1017/S0950268822000139.

92. Zhang, L.*, Zheng, D.H., Zhang, K., Chen, H., Ge, Y.C., Li, X.*, 2022. Divergent trends in irrigation-water withdrawal and consumption over mainland China. Environmental Research Letters, 17(9): 094001, doi: 10.1088/1748-9326/ac8606.

93. Zhang, M.H., Zhang, L.X., Zhao, C.M., Jin, R., Guo, J.W., Li, X.*, 2022. Fetching ecosystem monitoring data in extreme areas via a drone-enabled Internet of Remote Things. IEEE Internet of Things Journal, 9(24): 25052-25067, doi: 10.1109/JIOT.2022.3195302.

94. Ma, C.F., Li, X.*, Zhao, Z.B., Liu, F., Zhang, K., Wu, A.D., Nie, X.W., 2022. Understanding dynamics of pandemic models to support predictions of COVID-19 transmission: Parameter sensitivity analysis of SIR-type models. IEEE Journal of Biomedical and Health Informatics, 22(6): 2458-2468, doi: 10.1109/JBHI.2022.3168825.

95. Zhu, F.X., Li, X.*, Qin, J., Kun, Y., Cuo, L., Tang, W.J., Shen, C.P., 2022. Integration of multisource data to estimate downward longwave radiation based on deep neural networks. IEEE Transactions on Geoscience and Remote Sensing, 60: 4103015, doi: 10.1109/TGRS.2021.3094321.

96. Zhou, Y.Z., Liao, W.L., Li, X.*, 2022. The contributions of individual factors to the oasis cold island effect intensity in the Heihe River Basin. Agricultural and Forest Meteorology, 312: 108706, doi: 10.1016/j.agrformet.2021.108706.

97. Zhou, Y.S., Li, X.*, Zheng, D.H., Zhang, X.L., Wang, Y.Z., Ren, S.S., Guo, Y.L., 2022. Decadal changes in glacier area, surface elevation and mass balance for 20002020 in the eastern Tanggula mountain using optical images and TanDEM-X radar data. Remote Sensing, 14(3): 506, doi: 10.3390/rs14030506.

98. Zhang, K., Li, X.*, Zheng, D.H.*, Zhang, L., Zhu, G.F., 2022. Estimation of global irrigation water use by the integration of multiple satellite observations. Water Resources Research, 58(3): e2021WR030031, doi: 10.1029/2021WR030031.

99. Wang, L.L.*, Guo, Y.L., Fan, M.H., Li, X.*, 2022. Wind speed prediction using measurements from neighboring locations and combining the extreme learning machine and the AdaBoost algorithm. Energy Reports, 8: 1508-1518, doi: 10.1016/j.egyr.2021.12.062.

100. Wang, B., Li, X.*, Ma, C.F., Zhu, G.F.*, Luan, W.F., Zhong, J.T., Tan, M.B., Fu, J., 2022. Uncertainty analysis of ecosystem services and implications for environmental management – An experiment in the Heihe River Basin, China. Science of The Total Environment, 81: 153481, doi: 10.1016/j.scitotenv.2022.153481.

101. Ma, C.F., Li, X.*, Wang, S.G., Wang, Z.Y., Che, T., Jin, R., Wang, W.Z., 2022. Quantifying uncertainties in passive microwave remote sensing of soil moisture via a Bayesian probabilistic inversion method. IEEE Transactions on Geoscience and Remote Sensing, 60: 4406918, doi: 10.1109/TGRS.2021.3123464.

102. Hu, X.L., Liu, F., Qi, Y., Zhang, J.L., Li, X.*, 2022. A novel strategy to assimilate category variables in land-use models based on Dirichlet distribution. Environmental Modelling & Software, 149: 105324, doi: 10.1016/j.envsoft.2022.105324.

103. Guo, Y.L., Zhao, Z.F., Zhu, F.X., Li, X.*, 2022. Climate change may cause distribution area loss for tree species in southern China. Forest Ecology and Management, 511: 120134, doi: 10.1016/j.foreco.2022.120134.

104. Pan, X.D., Li, X.*, Ran, Y.H., Guo, X.J., 2022. Open access of scientific data in the context of open science: the practice of the National Tibetan Plateau Data Center. Big Data Research, 8(1): 113-120, doi: 10.11959/j.issn.2096-0271.2022010 (in Chinese with English abstract).

105. Ma, H.Q., Zhang, K., Ma, C.F., Wu, X.D., Wang, C., Zheng, Y., Zhu, G.F., Yuan, W.P., Li, X.*, 2022. Research progress on parameter sensitivity analysis in ecological and hydrological models of remote sensing. National Remote Sensing Bulletin, 26(2): 286-298, doi: 10.11834/jrs.20219089 (in Chinese with English abstract).

106. Chen, F.H., Li, X., Wu, S.H., Fan, J., Xiong, J.H., Zhang, G.Y., 2022. Disciplinary structure of geographic science in China. Journal of Geographical Sciences, 32(9): 1637-1641, doi: 10.1007/S11442-022-2014-5.

107. Ren, S.S., Li, X., Wang, Y.Z., Zheng, D.H., Jiang, D.C., Nian, Y.Y., Zhou, Y.S., 2022. Multitemporal Glacier Mass Balance and Area Changes in the Puruogangri Ice Field during 1975-2021 Based on Multisource Satellite Observations. Remote Sensing, 14(16): 4078. doi: 10.3390/RS14164078.

108. Ran, Y.H., Li, X., Che, T., Wang, B.Q., Cheng, G.D., 2022. Current state and past changes in frozen ground at the Third Pole: A research synthesis. Advances in Climate Change Research, 13(5): 632-641, doi: 10.1016/J.ACCRE.2022.09.004.

109. Wang, B., Li, X., Zhu, G.F., Huang, C.L., Ma, C.F., Tan, M.B., Zhong, J.T., 2022. Evaluating the impact of dynamic changes in grasslands on the critical ecosystem service value of Yanchi County in China from 2000 to 2015. Sustainability, 14(19): 11762, doi: 10.3390/SU141911762.

110. Xu, D., Li, X., Lafortezza, R., 2022. Employers-stop discrimination against people who've had COVID-19. Nature, 608: 667-667, doi: 10.1038/D41586-022-02242-5.

111. Yang, X.M., Li, X., Wang, X.F., Ding, F., Chen, F., Wang, J.R., Zhang, X.J., Zhang, Y.J., 2022. Meta-analysis of the correlation between vegetation and precipitation in the temperate deserts of the Northern Hemisphere over the last 40 years. Ecological Indicators, 142: 109269, doi: 10.1016/J.ECOLIND.2022.109269.

112. Zheng, D.H., Li, X., Wen, J., Hofste, J.G., Van Der Velde, R., Wang, X., Wang, Z.L., Bai, X.J., Schwank, M., Su, Z.B., 2022. Active and passive microwave signatures of diurnal soil freeze-thaw transitions on the Tibetan Plateau. IEEE Transactions on Geoscience and Remote Sensing, 60: 4301814, doi: 10.1109/TGRS.2021.3092411.

113. Ran, Y.H., Li, X., Cheng, G.D., Che, J.X., Aalto, J., Karjalainen, O., Hjort, J., Luoto, M., Jin, H.J., Obu, J., Hori, M., Yu, Q.H., Chang, X.L., 2022. New high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the Northern Hemisphere. Earth System Science Data, 14(2): 865-884, doi: 10.5194/ESSD-2021-83.

114. Bai, X.J., Zheng, D.H., Liu, X.Z., Fan, L., Zeng, J.Y., Li, X., 2022. Simulation of Sentinel-1A observations and constraint of water cloud model at the regional scale using a discrete scattering model. Remote Sensing of Environment, 283: 113308, doi: 10.1016/J.RSE.2022.113308.

115. Chen, W.J., Thorslund, J., Nover, D.M., Rains, M.C., Li, X., Xu, B., He, B., Su, H., Yen, H., Liu, L., Yuan, H.L., Jarsjö, J., Viers, H., 2022. A typological framework of non-floodplain wetlands for global collaborative research and sustainable use. Environmental Research Letters, 17: 113002, doi: 10.1088/1748-9326/AC9850.

116. Chen, Y.Y., Zhang, M.H., Li, X., Che, T., Jin, R., Guo, J.W., Yang, W., An, B.S., Nie, X.W., 2022. Satellite-enabled internet of remote things network transmits field data from the most remote areas of the Tibetan Plateau. Sensors, 22(10): 3713, doi: 10.3390/s22103713.

117. Ehlers, T., Chen, D.L., Appel, E., Bolch, T., Chen, F.H., Diekmann, B., Dippold, M., Giese, M., Guggenberger, G., Lai, H.W., Li, X., Liu, J.G., Liu, Y.Q., Ma, Y.M., Miehe, G., Mosbrugger, V., Mulch, A., Piao, S.L., Schwalb, A., Thompson, L., 2022. Past, present, and future geo-biosphere interactions on the Tibetan Plateau and implications for permafrost. Earth-Science Reviews, 234: 104197, doi: 10.1016/J.EARSCIREV.2022.104197.

118. Ge, Y., Ma, T., Pei, T., Weng, H.X., Li, X., Zhang, X.N., 2022. Progress of big geodata. Science Bulletin, 67(17): 1739-1742, doi: 10.1016/J.SCIB.2022.07.022.

119. Huang, L., Hock, R., Li, X., Bolch, T., Yang, K., Wang, N.L., Yao, T.D., Zhou, J.M., Dou, C.Y., Li, Z., 2022. Winter accumulation drives the spatial variations in glacier mass balance in High Mountain Asia. Science Bulletin, 67(19): 1967-1970, doi: 10.1016/J.SCIB.2022.08.019.

120. Ji, F., Fan, L.F., Kuang, X.X., Li, X., Cao, B., Cheng, G.D., Yao, Y.Y., Zheng, C.M., 2022. How does soil water content influence permafrost evolution on the Qinghai-Tibet Plateau under climate warming? Environmental Research Letters, 17(6): 064012, doi: 10.1088/1748-9326/AC6C9A.

121. Jiang, Y.Z., Yang, K., Li, X.D., Zhang, W.J., Shen, Y., Chen, Y.Y., Li, X., 2022. Atmospheric simulation-based precipitation datasets outperform satellite-based products in closing basin-wide water budget in the eastern Tibetan Plateau. International Journal of Climatology, 42(14): 7252-7268, doi: 10.1002/JOC.7642.

122. Lazhu, Yang, K., Qin, J., Hou, J.Z., Lei, Y.B., Wang, J.B., Huang, A.N., Chen, Y.Y., Ding, B.H., Li, X., 2022. A strict validation of MODIS lake surface water temperature on the Tibetan Plateau. Remote Sensing, 14(21): 5454, doi: 10.3390/RS14215454.

123. Li, W.Y., Jiang, Q., He, X.G., Sun, H.Q., Sun, W.W., Scaioni, M., Chen, S., Li, X., Gao, J., Hong, Y., 2022. Effective multi-satellite precipitation fusion procedure conditioned by gauge background fields over the Chinese mainland. Journal of Hydrology, 610: 127783, doi: 10.1016/J.JHYDROL.2022.127783.

124. Lian, J., Gong, X.W., Wang, X.Y., Wang, X.Y., Zhao, X.Y., Li, X., Su, N., Li, Y.Q., 2022. Mapping of soil organic carbon stocks based on aerial photography in a fragmented desertification landscape. Remote Sensing, 14(12): 2829, doi: 10.3390/RS14122829.

125. Ma, X.G., Yang, K., La, Z., Lu, H., Jiang, Y.Z., Zhou, X., Yao, X.N., Li, X., 2022. Importance of parameterizing lake surface and internal thermal processes in WRF for simulating freeze onset of an alpine deep lake. Journal of Geophysical Research: Atmospheres, 127(18): e2022JD036759, doi: 10.1029/2022JD036759.

126. Qin, J., Tian, J.X., Yang, K., Lu, H., Li, X., Yao, L., Shi, J.C., 2022. Bias correction of satellite soil moisture through data assimilation. Journal of Hydrology, 610: 127947, doi: 10.1016/J.JHYDROL.2022.127947.

127. Ran, Y.H., Cheng, G.D., Dong, Y.H., Hjort, J., Lovecraft, A.L., Kang, S.C., Tan, M.B., Li, X., 2022. Permafrost degradation increases risk and large future costs of infrastructure on the Third Pole. Communications Earth & Environment, 3(1): 238, doi: 10.1038/S43247-022-00568-6.

128. Sui, Y.J., Feng, M., Wang, C.L., Li, X., 2022. A high-resolution inland surface water body dataset for the tundra and boreal forests of North America. Earth System Science Data, 14(7): 3349-3363, doi: 10.5194/essd-14-3349-2022.

129. Wang, J.B., He, Z.Y., Wang, C.L., Feng, M., Pang, Y., Yu, T., Li, X., 2022. Investigation of long-term forest dynamics in protected areas of northeast China using Landsat data. Remote Sensing, 14(13): 2988, doi: 10.3390/RS14132988.

130. Wang, X.J., Ran, Y.H., Pang, G.J., Chen, D.L., Su, B., Chen, R., Li, X., Chen, H.W., Yang, M.X., Guo, X.H., Jorgenson, M.T., Aalto, J., Li, R., Peng, X.P., Wu, T.H., Clow, G.D., Wan, G.N., Wu, X.D., Luo, D.L., 2022. Contrasting characteristics, changes, and linkages of permafrost between the Arctic and the Third Pole. Earth-Science Review, 230: 104042, doi: 10.1016/J.EARSCIREV.2022.104042.

131. Wu, A.D., Che, T., Li, X., Zhu, X.W., 2022. Routeview: an intelligent route planning system for ships sailing through Arctic ice zones based on big Earth data. International Journal of Digital Earth, 15(1): 1588-1613, doi: 10.1080/17538947.2022.2126016.

132. Xue, Y.K., Diallo, I., Boone, A.A., Yao, T.D., Zhang, Y., Zeng, X.B., Neelin, J.D., Lau, W.K.M., Pan, Y., Liu, Y., Pan, X.D., Tang, Q., Oevelen, P.J.V., Sato, T., Koo, M.-S., Materia, S., Shi, C.X., Yang, J., Ardilouze, C., Lin, Z.H., Qi, X., Nakamura, T., Saha, S.K., Senan, R., Takaya, Y., Wang, H.L., Zhang, H.L., Zhao, M., Nayak, H.P., Chen, Q.Y., Feng, J.M., Brunke, M.A., Fan, T.Y., Hong, S.Y., Nobre, P., Peano, D., Qin, Y., Vitart, F., Xie, S.C., Zhan, Y.L., Klocke, D., Leung, R., Li, X., Ek, M., Guo, W.D., Balsamo, G., Bao, Q., Chou, S.C., Rosnay, P.D., Lin, Y., Zhu, Y.J., Qian, Y., Zhao, P., Tang, J.P., Liang, X.-Z., Hong, J., Ji, D.Y., Ji, Z.M., Qiu, Y., Sugimoto, S., Wang, W.C., Yang, K., Yu, M., 2022. Spring land temperature in Tibetan Plateau and global-scale summer precipitation: Initialization and improved prediction. Bulletin of the American Meteorological Society, 103(12): E2756-E2767, doi: 10.1175/BAMS-D-21-0270.1.

133. Zhou, X., Yang, K., Jiang, Y.Z., Sun, J., Chen, Y.Y., Li, X., Li, J.H., Shi, J.C., 2022. The influence of bare ground thermal roughness length parameterization on the simulation of near-surface air and skin temperatures over the Tibetan Plateau. Journal of Geophysical Research: Atmospheres, 127(21): e2022JD037245, doi: 10.1029/2022JD037245.

134. Zhou, Z.L., Fan, L., De Lannoy, G., Liu, X., Peng, J., Bai, X., Frappart, F., Baghdadi, N., Xing, Z., Li, X.J., Ma, M.G., Li, X., Che, T., Geng, L.Y., Wigneron, J.P., 2022. Retrieval of high-resolution vegetation optical depth from Sentinel-1 data over a grassland region in the Heihe River Basin. Remote Sensing, 14(21): 5468, doi: 10.3390/RS14215468.

135. Zhang, Z., Poulter, B., Knox, S., Stavert, A., Mcnicol, G., Fluet-Chouinard, E., Feinberg, A., Zhao, Y.H., Bousquet, P., Canadell, J., Ganesan, A., Hugelius, G., Jackson, R., Patra, P., Saunois, M., Hglund-Isaksson, L., Huang, C.L., Chatterjee, A., Li, X., 2022. Anthropogenic emission is the main contributor to the rise of atmospheric methane during 1993–2017. National Science Review, 9(5): nwab200, doi: 10.1093/nsr/nwab200.

136. Tian, J.X., Qin, J., Yang, K., Zhao, L., Chen, Y.Y., Lu, H., Li, X., Shi, J.C., 2022. Improving surface soil moisture retrievals through a novel assimilation algorithm to estimate both model and observation errors. Remote Sensing of Environment, 269: 112802, doi: 10.1016/J.RSE.2021.112802.

137. Su, B., Xiao, C.D., Chen, D.L., Huang, Y., Che, Y.J., Zhao, H.Y., Zou, M.B., Guo, R., Wang, X.J., Li, X., Guo, W.Q., Liu, S.Y., Yao, T.D., 2022. Glacier change in China over past decades: Spatiotemporal patterns and influencing factors. Earth-Science Reviews, 226: 103926, doi: 10.1016/J.EARSCIREV.2022.103926.

138. Du, E., Tian, Y., Cai, X.M., Zheng, Y., Han, F., Li, X., Zhao, M.H., Yang, Y., Zheng, C.M., 2022. Evaluating distributed policies for conjunctive surface water-groundwater management in large river basins: Water uses versus hydrological impacts. Water Resources Research, 58(1): e2021WR031352, doi: 10.1029/2021WR031352.

139. An, B.S., Wang, W.C., Yang, W., Wu, G.J., Guo, Y.L., Zhu, H.F., Gao, Y., Bai, L., Zhang, F., Zeng, C., Wang, L., Zhou, J., Li, X., Li, J., Zhao, Z.J., Chen, Y.Y., Liu, J.S., Li, J.L., Wang, Z.Y., Chen, W.F., Yao, T.D., 2022. Process, mechanisms, and early warning of glacier collapse-induced river blocking disasters in the Yarlung Tsangpo Grand Canyon, southeastern Tibetan Plateau. Science of the Total Environment, 816: 151652, doi: 10.1016/J.SCITOTENV.2021.151652.

140. Wu, A.D., Che, T., Li, X., Zhu, X.W., 2022. A ship navigation information service system for the Arctic northeast passage using 3D GIS based on big Earth data. Big Earth Data, 6(4): 453-479, doi: 10.1080/20964471.2021.1981197.

141. Li, X.*, Ma, H.Q., Ran, Y.H., Wang, X.F., Zhu, G.F., Liu, F., He, H.L., Zhang, Z., Huang, C.L., 2021. Terrestrial carbon cycle model-data fusion: Progress and challenges. Science China Earth Sciences, 64(10): 1645-1657, doi: 10.1007/s11430-020-9800-3.

142. Zhou, Y.S., Li, X.*, Zheng, D.H.*, Li, Z.W., An, B.S., Wang, Y.Z., Jiang, D.C., Su, J.B., Cao, B., 2021. The joint driving effects of climate and weather changes caused the Chamoli glacier-rock avalanche in the high altitudes of the India Himalaya. Science China Earth Sciences, 64(11): 1909-1921, doi: 10.1007/s11430-021-9844-0.

143. Zhao, Z.B., Li, X.*, Liu, F., Jin, R., Ma, C.F., Huang, B., Wu, A.D., Nie, X.W.*, 2021. Stringent nonpharmaceutical interventions are crucial for curbing COVID-19 transmission in the course of vaccination: A case study in South and Southeast Asian countries. Healthcare, 9(10): 1292, doi: 10.3390/healthcare9101292.

144. Yuan, S.W., Li, X.*, Du, E.H.*, 2021. Effects of farmers’ behavioral characteristics on crop choices and responses to water management policies. Agricultural Water Management, 247: 106693, doi: 10.1016/j.agwat.2020.106693.

145. Wang, H.B., Tan, J.L., Li, X.*, 2021. Global NO2 dynamics during the COVID-19 pandemic: A comparison between two waves of the coronavirus. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 4310-4320, doi: 10.1109/JSTARS.2021.3073156.

146. Wang, H.B., Li, X.*, Xiao, J.F., Ma, M.G., 2021. Evapotranspiration components and water use efficiency from desert to alpine ecosystems in drylands. Agricultural and Forest Meteorology, 298-299: 108283, doi: 10.1016/j.agrformet.2020.108283.

147. Su, Y.N., Li, X.*, Feng, M., Nian, Y.Y., Huang, L.X., Xie, T.T., Zhang, K., Chen, F., Huang, W., Chen, J.H., Chen, F.H., 2021. High agricultural water consumption led to the continued shrinkage of the Aral Sea during 1992–2015. Science of The Total Environment, 777: 145993, doi: 10.1016/j.scitotenv.2021.145993.

148. Ran, Y.H., Li, X.*, Cheng, G.D., Nan, Z.T., Che, J.X., Sheng, Y., Wu, Q.B., Jin, H.J., Luo, D.L., Tang, Z.G., Wu, X.B., 2021. Mapping the permafrost stability on the Tibetan Plateau for 2005-2015. Science China Earth Sciences, 64(1): 62-79, doi: 10.1007/s11430-020-9685-3.

149. Pan, X.D., Guo, X.J., Li, X.*, Niu, X.L., Yang, X.J., Feng, M., Che, T., Jin, R., Ran, Y.H., Guo, J.W., Hu, X.L., Wu, A.D., 2021. National Tibetan Plateau Data Center: Promoting Earth System Science on the Third Pole. Bulletin of the American Meteorological Society, 102(11): E2062-E2078, doi: 10.1175/BAMS-D-21-0004.1.

150. Luan, W.F., Li, X.*, 2021. Rapid urbanization and its driving mechanism in the Pan-Third pole region. Science of the Total Environment, 750: 141270, doi: 10.1016/j.scitotenv.2020.141270.

151. Li, Q., Li, X.*, Ran, Y.H., Feng, M., Nian, Y.Y., Tan, M.B., Chen, X., 2021. Investigate the relationships between the Aral Sea shrinkage and the expansion of cropland and reservoir in its drainage basins between 2000 and 2020. International Journal of Digital Earth, 14(6): 661-677, doi: 10.1080/17538947.2020.1865466.

152. Guo, Y.L., Zhao, Z.F., Li, X.*, 2021. Moderate warming will expand the suitable habitat of Ophiocordyceps sinensis and expand the area of O.sinensis with high adenosine content. Science of the Total Environment, 787: 147605, doi: 10.1016/j.scitotenv.2021.147605.

153. Cao, B., Li, X.*, Feng, M., Zheng, D.H., 2021. Quantifying overestimated permafrost extent driven by rock glacier inventory. Geophysical Research Letters, 48(8): e2021GL092476, doi: 10.1029/2021GL092476.

154. Yuan, S.W., Li, X.*, Du, E.H., 2021. Progress and prospect of agent-based modeling for water resources management. Advances in Earth Science, 36(9): 899-910, doi: 10.11867/j.issn.1001-8166.2021.089 (in Chinese with English abstract).

155. Li, X., Yuan, L.W., Pei, T., Huang, X., Liu, G., Zheng, D.H., 2021. Disciplinary structure and development strategy of information geography in China. Acta Geographica Sinica, 76(9): 20942103, doi: 10.11821/dlxb202109004 (in Chinese with English abstract).

156. Gao, J., Zhang, Z.H., Li, W.Y., Sun, F.Y., Hu, Y.N., Wang, L.X., Fu, J., Li, X.*, Cheng, G.D.*, 2021. Urban sustainable development evaluation with big Earth data: Data, indicators, and methods. Bulletin of Chinese Academy of Sciences, 36(8): 940949, doi: 10.16418/j.issn.1000-3045.20210713001 (in Chinese with English abstract).

157. Zheng, D.H., Li, X., Zhao, T.J., Wen, J., Van Der Velde, R., Schwank, M., Wang, X., Wang, Z.L., Su, Z.B., 2021. Impact of soil permittivity and temperature profile on L-band microwave emission of frozen soil. IEEE Transactions on Geoscience and Remote Sensing, 59(5): 4080-4093, doi: 10.1109/TGRS.2020.3024971.

158. Zhang, L., Li, X., Zheng, D.H., Zhang, K., Ma, Q.M., Zhao, Y.B., Ge, Y.C., 2021. Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach. Journal of Hydrology, 594: 125969, doi: 10.1016/J.JHYDROL.2021.125969.

159. Su, J.B., Li, X., Ren, W.W., Lu, H.S., Zheng, D.H., 2021. How reliable are the satellite-based precipitation estimations in guiding hydrological modelling in South China? Journal of Hydrology, 602: 126705, doi: 10.1016/J.JHYDROL.2021.126705.

160. Menenti, M., Li, X., Jia, L., Yang, K., Pellicciotti, F., Mancini, M., Shi, J.C., Escorihuela, M., Zheng, C.L., Chen, Q.T., Lu, J., Zhou, J., Hu, G., Ren, S., Zhang, J., Liu, Q., Qiu, Y., Huang, C., 2021. Multi-source hydrological data products to monitor High Asian river basins and regional water security. Remote Sensing, 13(24): 5122, doi: 10.3390/RS13245122.

161. Zhou, X., Yang, K., Ouyang, L., Wang, Y., Jiang, Y.Z., Li, X., Chen, D.L., Prein, A., 2021. Added value of kilometer-scale modeling over the Third Pole region: A CORDEX-CPTP pilot study. Climate Dynamics, 57(7-8): 1673-1687, doi: 10.1007/S00382-021-05653-8.

162. Zhang, G.Q., Ran, Y.H., Wan, W., Luo, W., Chen, W.F., Xu, F.L., Li, X., 2021. 100 years of lake evolution over the Qinghai–Tibet Plateau. Earth System Science Data, 13(8): 3951-3966, doi: 10.5194/ESSD-13-3951-2021.

163. Xue, Y.K., Yao, T.D., Boone, A.A., Diallo, I., Liu, Y., Zeng, X.B., Lau, W.K.M., Sugimoto, S., Tang, Q., Pan, X.D., Van Oevelen, P.J., Klocke, D., Koo, M.S., Sato, T., Lin, Z.H., Takaya, Y., Ardilouze, C., Materia, S., Saha, S.K., Senan, R., Nakamura, T., Wang, H.L., Yang, J., Zhang, H.L., Zhao, M., Liang, X.Z., Neelin, J.D., Vitart, F., Li, X., Zhao, P., Shi, C.X., Guo, W.D., Tang, J.P., Yu, M., Qian, Y., Shen, S.S.P., Zhang, Y., Yang, K., Leung, R., Qiu, Y., Peano, D., Qi, X., Zhan, Y.L., Brunke, M.A., Chou, S.C., Ek, M., Fan, T.Y., Guan, H., Lin, H., Liang, S.L., Wei, H.L., Xie, S.C., Xu, H.R., Li, W.P., Shi, X.L., Nobre, P., Pan, Y., Qin, Y., Dozier, J., Ferguson, C.R., Balsamo, G., Bao, Q., Feng, J.M., Hong, J., Hong, S.Y., Huang, H.L., Ji, D.Y., Ji, Z.M., Kang, S.C., Lin, Y.L., Liu, W.G., Muncaster, R., De Rosnay, P., Takahashi, H.G., Wang, G.L., Wang, S.Y., Wang, W.C., Zhou, X., Zhu, Y.J., 2021. Impact of initialized land surface temperature and snowpack on subseasonal to seasonal prediction project (LS4P), phase I: Organization and experimental design. Geoscientific Model Development, 14(7): 4465-4494, doi: 10.5194/GMD-14-4465-2021.

164. Tian, X.J., Zhang, H.Q., Feng, X.B., Li, X., 2021. i4DVar: An integral correcting four-dimensional variational data assimilation method. Earth and Space Science, 8: e2021EA001767, doi: 10.1029/2021EA001767.

165. Ran, Y.H., Jorgenson, T., Li, X., Jin, H.J., Wu, T.H., Li, R., Cheng, G.D., 2021. Biophysical permafrost map indicates ecosystem processes dominate permafrost stability in the Northern Hemisphere. Environmental Research Letters, 16(9): 095010, doi: 10.1088/1748-9326/AC20F3.

166. Li, J., Li, Z.W., Hu, J., Wu, L.X., Li, X., Guo, L., Liu, Z., Miao, Z.L., Wang, W., Chen, J.L., 2021. Investigating the bias of TanDEM-X digital elevation models of glaciers on the Tibetan Plateau: Impacting factors and potential effects on geodetic mass-balance measurements. Journal of Glaciology, 67(264): 613-626, doi: 10.1017/JOG.2021.15.

167. Kang, J., Jin, R., Li, X., Zhang, Y., 2021. Mapping high spatiotemporal-resolution soil moisture by upscaling sparse ground-based observations using a Bayesian linear regression method for comparison with microwave remotely sensed soil moisture products. Remote Sensing, 13(2): 228, doi: 10.3390/RS13020228.

168. Kang, J., Jin, R., Li, X., 2021. An advanced framework for merging remotely sensed soil moisture products at the regional scale supported by error structure analysis: A case study on the Tibetan Plateau. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 3614-3624, doi: 10.1109/JSTARS.2021.3065408.

169. Han, F., Zheng, Y., Tian, Y., Li, X., Zheng, C.M., Li, X., 2021. Accounting for field-scale heterogeneity in the ecohydrological modeling of large arid river basins: Strategies and relevance. Journal of Hydrology, 595: 126045, doi: 10.1016/J.JHYDROL.2021.126045.

170. Guo, J.W., Zhang, M.H., Shang, Q.S., Liu, F., Wu, A.D., Li, X., 2021. River basin cyberinfrastructure in the big data era: An integrated observational data control system in the Heihe River Basin. Sensors, 21(16): 5429, doi: 10.3390/S21165429.

171. Chen, Y.Y., Sharma, S., Zhou, X., Yang, K., Li, X., Niu, X.L., Hu, X., Khadka, N., 2021. Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya. Atmospheric Research, 250: 105365, doi: 10.1016/J.ATMOSRES.2020.105365.

172. Chen, F.H., Ding, L., Piao, S.L., Zhou, T.J., Xu, B.Q., Yao, T.D., Li, X., 2021. The Tibetan Plateau as the engine for Asian environmental change: the Tibetan Plateau Earth system research into a new era. Science Bulletin, 66(13): 1263-1266, doi: 10.1016/J.SCIB.2021.04.017.

173. Chen, F.H., Li, X., Wu, S.H., Fan, J., Xiong, J.H., Zhang, G.Y., 2021. Disciplinary structure of geographic science in China. Acta Geographica Sinica, 76(9): 20692073, doi: 10.11821/dlxb202109001 (in Chinese with English abstract).

174. An, B.S., Yao, T.D., Guo, Y.H., Wang, W.C., Li, J.L., Li, X., Wang, Z.Y., 2021. Protection, restoration, and governance technology demonstration system in the typical regions of the Lhasa River Basin. Chinese Science Bulletin, 66(22): 27752784, doi: 10.1360/TB-2021-0022 (in Chinese with English abstract).

175. Fang, H.L., Che, T., Jin, R., Li, A.N., Li, X., Li, Z.Y., Liu, S.M., Ma, M.G., Xiao, Q., Zhang, Y.G., 2021. On the construction of China's fiducial reference measurement network for land surface remote sensing product validation. Advances in Earth Science, 36(12): 12151223, doi: 10.11867/j.issn.1001-8166.2022.003 (in Chinese with English abstract).