Major Research Fields

His main research activities encompass Remote Sensing(RS), Geographic Information System (GIS), Remote Sensing of Cryospher(RSC), Remote Sensing of Vegetation(RSV), Climate Change and Hydrological Modelling.

RS & GIS

Applications in Ecology, Hydrology, Climate Change and Hydrological Modelling, especially in Algorithm and the development of software in these fields.

RSC & RSV

In the RSC field, he primarily focuses the long-term variations of snow and glacier in large extent, as well as associated responses to global climate change. In the RSV field, he mainly works on the estimation of NPP.

Climate Change

Be good at mountainous climate change, including the change of snow, glacier, precipitation, temperature, etc. Now, studying on extreme climate change.

Hydrological Modelling

Long-term engaged in the study and research of hydrological modelling, especially distributed hydrological modelling, such as VIC, SWAT, and ESSI-RSM.

My Blog

Here is recording contents about Technology, Essay, and something reprinted.

  1. [Dataset] Heatwave dataset(1979-2018, daily/0.1 degree): Heatwave Index, Heatwave Level

  2. [Dataset] Regional Heatwave Events Dataset(1979-2018, daily/0.1 degree): Regional Heatwave Events

  3. [Dataset] Shuttle Radar Topography Mission (SRTM) DEM (Global, 500 m): Download

  4. [Shapefile] Different Districts Seperated by Climate over China: Download

  5. [Shapefile] Shp for Qinghai-Tibetan Plateau: Download

  6. [Software] Compile Environment of C Program on Windows for Students: Visual C++ 2010 Study Version


About Me

JinPing LIU, he got the Ph.D degree from Remote Sensing and Digital Earth, Chinese Academy of Sciences (CAS) in June, 2019, primarily occupied in climate change, distributed hydrological modelling, and remote sensing of cryosphere. He has been being invited by many journals (e.g., Theoretical and Applied Climatology, Natural Hazards Research, Remote Sensing, Natural Hazards, Agriculture, PLOS ONE, Sustainability, Atmosphere, International Journal of Environmental Research and Public Health, Sensors, and Geographies) as a reviewer.

In Feb. 2022, Dr. Arfan Arshad, Dr. Quoc Bao Pham, Dr. Masoud Jafari Shalamzari and he organized a special issue, entitled "Environmental Footprints of Drought: Focusing on Emerging Issues and Their Underlying Mechanisms", in Atmosphere (SCI [IF:3.110], Go To Special Issue).

In Jan. 2023, Prof. Huaiyong Shao, Dr. Huaan Jin, and he organized a special issue, entitled "Climate Change and Vegetation Response in China", in Atmosphere (SCI [IF:3.110], Go To Special Issue).

In Jan. 2023, Prof. Zengyun Hu, Prof. Hongquan Sun, Prof. Hui Tao, Dr. Arfan Arshad and He orangized a special issue, entitled "Exploring the Variations and Interplay of Drought and Heatwaves: Uncovering the Associated Mechanisms and Impacts", in Remote Sensing (SCI [IF: 5.349], Go To Special Issue).

Work Experiences

September,2022 to present | As a visiting scholar in the section of Hydraulics and Geotechnics, KU Leuven.

November,2019 to present | Working in College of Surving and Geo-informatics, North China University of Water Resources and Electric Power (NCWU).


Education

September,2015 to June,2019 | Ph.D in Cartography and Geography Information System (RADI, CAS).

September,2012 to June,2015 | Master in Cartography and Geography Information System (EGI, CAS).

September,2008 to June,2012 | Bachelor in Land Resource Management [Engineering degree](HPU).


Projects

  • Henan Province science and technology research project, Identification and risk assessment of regional drought events in China under different global warming scenarios (242102320017), 2024.1-2025.12, host

  • Key Laboratory of Mine Spatio-Temporal Information and Ecological Restoration, MNR, Open Funding, Analysis and Disturbance Study of Vegetation Cover Dynamics in Jiaozuo Mining Area Based on Remote Sensing Monitoring (KLM202301), 2024.1-2025.12, host

  • National Science and Technology Basic Resources Survey Special Project, Subproject: Investigation of key elements of snowpack in the Erzis River Basin (2021xjkk070104), 2021.11-2024.10，Subproject host

  • Key R&D and promotion projects in Henan Province, Projected population exposure risk for heatwaves in China under global warming scenarios of 1.5°C and 2°C (222103810097), 2022.06-2023.12，Second host

  • North China University of Water Resources and Electric Power & KQ GEO Geographic Information Wisdom Lab (220901223280728), 2023.02-2024.02，Host

  • State Key Laboratory Fund Project, Projecting the risk of extreme drought events in China under different global warming scenarios (2021491411), 2022.01-2023.12, Host

  • North China University of Water Resources and Electric Power "High-level Talent Research Initiation Project", Research on Runoff Effects in the Yellow River Source Area Driven by Climate Change and Land Use Change (20205010), 2020.01-2022.12, Host


    • Awards

  • The First Prize of the Eleventh National Higher Education Institution Lecture Competition for Young Teachers of Surveying and Mapping-GIS Group, Date of Certificate: Jul. 19th, 2022


    • Publications & Tools

    (Note: sorted as latest date)

    Liu J, Li M, Liu T, Ren Y, Hu Q, Shalamzari M. Comprehensive Analysis of Compound Drought and Heatwave Events in China for the Past Decades Based on Regional Event Identification Algorithm. XXXX. 2024. [SCI, Under Review]

    Liu J, Wu J, Ali S, Linh N, Ren Y, Shalamzari M. Unraveling Projected Changes in Spatiotemporal Patterns and Droughts Events Across Mainland China Using CMIP6 Models and An Intensity–Area–Duration Algorithm. XXXX. 2024. [SCI]

    Liu J, Zhang T, Ren Y, Willems P, Mirchi A, Arshad A, Liu T, Pham QB. Three-dimensional Evaluation Framework of Hazard-Exposure-Vulnerability for Mapping Heatwave Risk and Associated Dominant Dimensions in China. International Journal of Climatology. 2024. [SCI]

    Liu J, Wang A, Zhang T, Pan P, Ren Y. Projected Increase in Heatwaves under 1.5 and 2.0 °C Warming Levels Will Increase the Socio-Economic Exposure across China by the Late 21st Century. Atmosphere. 2024, 15(8):900. [SCI]

    Yin W, Hu Q, Liu W, Liu J, He P, Zhu D, Kornejady A. Harnessing Game Engines and Digital Twins: Advancing Flood Education, Data Visualization, and Interactive Monitoring for Enhanced Hydrological Understanding. Water. 2024; 16(17):2528. [SCI]

    Wang S, Liu Y, Guo J, Liu J, Chai H. Impacts of the Middle Route of the South-to-North Water Diversion Project on Land Surface Temperature and Fractional Vegetation Coverage in the Danjiang River Basin. Remote Sensing. 2024; 16(14):2665. [SCI]

    Ma K, Hao M, Shang W, Liu J, Meng J, Hu Q, He P, Li S. Study on the Influence of Label Image Accuracy on the Performance of Concrete Crack Segmentation Network Models. Sensors. 2024; 24(4):1068. [SCI]

    Ren Y, Liu J*, Willems P, Liu T*, Pham QB. Detection and Assessment of Changing Drought Events in China in the Context of Climate Change Based on the Intensity–Area–Duration Algorithm.[J]. Land. 2023, 12(10):1820. [SSCI]

    Li R, Wang Z, Sun H, Zhou S, Liu Y, Liu J. Automatic Identification of Earth Rock Embankment Piping Hazards in Small and Medium Rivers Based on UAV Thermal Infrared and Visible Images.[J]. Remote Sensing. 2023, 15(18):4492. [SCI]

    Liu J, Ren Y*, Willems P, Liu T*, Yong B, Shalamzari M, Gao H. Investigating Whether Ensemble Average of Multi-Global-Climate-Models Can Necessarily Better Project Seasonal Drought Conditions in China.[J]. Atmosphere. 2023, 14(9), 1408. [SCI]

    Gao H, Zhang Z, Chen H, Zhang W, Xu C, Yi Y, Liu J, Xiao Z. Impacts of seasonally frozen soil hydrothermal dynamics on the watershed hydrological processes inferred from a spatially distributed numerical modelling approach[J]. Journal of Hydrology, 2023,624, 129947. [SCI]

    Wang J, Zhao D, Liu X, Shao Q, Yang D, Zeng F, Feng Y, Zhang S, Peng P, Liu J*. Spatio-Temporal Evolution of Forest Landscape in China’s Giant Panda National Park: A Case Study of Jiudingshan Nature Reserve.[J]. Forests. 2023, 14(8), 1606. [SCI]

    Hu Q, Kou Y, Liu J, Liu W, Yang J, Li S, He P, Liu X, Ma K, Li Y, et al. TerraSAR-X and GNSS Data for Deformation Detection and Mechanism Analysis of a Deep Excavation Channel Section of the China South–North Water-Diversion Project[J]. Remote Sesning, 2023, 15(15), 3777. [SCI]

    Ren Y, Liu J*, Zhang T., Shalamzari MJ, Arshad A, Liu T, Willems P., Gao H., Tao H, Wang T. Identification and Analysis of Heatwave Events Considering Temporal Continuity and Spatial Dynamics[J]. Remote Sensing, 2023,15(5),1369. [SCI]

    Noor R, Arshad A, Shafeeque M, Liu J, Baig A, Ali S, Maqsood A, Pham Q, Dilawar A, Khan S, Anh D, Elbeltagi A. Combining APHRODITE Rain Gauges-based Precipitation with Downscaled-TRMM data to translate high-resolution precipitation estimates in the Indus Basin[J]. Remote Sensing, 2023,15(2):318. [SCI]

    Ren Y, Liu J*, Shalamzari MJ, Arshad A, Liu S, Liu T*, Tao H. Monitoring Recent Changes in Drought and Wetness in the Source Region of the Yellow River Basin, China[J]. Water, 2022,14(6):861. [SCI]

    Ren Y, Liu J*, Liu S, Wang Z, Liu T, Shalamzari M. Effects of Climate Change on Vegetation Growth in the Yellow River Basin from 2000 to 2019[J]. Remote Sensing, 2022,14(3):687. [SCI]

    Liu J，Ren Y*，Tao H，Liu T，Chen H. The response of heatwave to carbon emission in China[J].China Environmental Science, 2022, 42(1): 415-424.[EI]

    Liu J, Ren Y*, Tao H, Shalamzari M. Spatial and Temporal Variation Characteristics of Heatwaves in Recent Decades over China[J]. Remote Sensing, 2021,13(19):3824. [SCI]

    刘金平，任艳群*，张万昌，陶辉，易路. 雅鲁藏布江流域气候和下垫面变化对径流影响研究[J].冰川冻土，2021，43(5):1-13.[CSCD]

    陆小琳，张万昌，牛全福，刘金平，陈豪，高会然. 黑龙江流域积雪的时空动态变化及其与气候因子的关系[J].中国科学院大学学报，2021，38(5): 31-40.[CSCD]

    陈金雨，陶辉，刘金平，翟建青，苏布达，姜彤. 中巴经济走廊极端降水时空变化[J].高原气象，2021.[CSCD，网络首发]

    XiaoLin Lu, WanChang Zhang, ShuHang Wang, Bo Zhang, QuanFu Niu, Jinping Liu, Hao Chen, HuiRan Gao. Spatial-temporal variability of snow cover over the Amur River Basin inferred from MODIS daily snow products in recent decades[J].Sciences in Cold and Arid Regions，2020, 12(6): 418-429.[CSCD，English Version]

    Liu J, Zhang W*, Liu T, Li Q. Runoff Dynamics and Associated Multi-Scale Responses to Climate Changes in the Middle Reach of the Yarlung Zangbo River Basin, China[J]. Water, 2018, 10(3):295. [SCI]

    Liu J, Zhang W*, Nie N. Spatial Downscaling of TRMM Precipitation Data Using an Optimal Subset Regression Model with NDVI and Terrain Factors in the Yarlung Zangbo River Basin, China[J]. Advances in Meteorology, 2018, (2018):13. [SCI]

    Liu J, Zhang W*. Climate changes and associated multi-scale impacts on watershed discharge over the upper reach of Yarlung Zangbo River Basin, China[J]. Advances in Meteorology,2018,(2018):11. [SCI]

    刘金平, 张万昌*, 邓财, 聂宁. 2000-2014年西藏雅鲁藏布江流域积雪时空变化分析及对气候的响应研究[J].冰川冻土, 2018, 40(4): 643-654.[CSCD]

    李麒崙，张万昌*，易路，刘金平，陈豪. GPM与TRMM降水数据在中国大陆的精度评估与对比[J].水科学进展. 2018, 29(3): 303-313.[EI]

    Liu J P, Zhang W C*. Spatial variability in degree-day factors in Yarlung Zangbo River Basin in China [J]. Journal of University of Chinese Academy of Sciences, 2018,35(5): 704-711. [CSCD]

    Liu J, Zhang W*, Liu T. Monitoring recent changes in snow cover in Central Asia using improved MODIS snow-cover products[J]. Journal of Arid Land, 2017, 9(5):763-777. [SCI]

    Liu J P, Zhang W C*. Long term spatio-temporal analyses of snow cover in Central Asia using ERA-Interim and MODIS products[C]// IOP Conference Series: Earth and Environmental Science. IOP Conference Series: Earth and Environmental Science, 2017:012033. [EI]

    Liu J, Zhang W*. Reconstructed glacier mass balance in the past few decades with the latest GRACE and GLDAS products over the Yarlung Zangbo River Basin, China2017, 5th International Symposium Recent Advances in Quantitative Remote Sensing, September 18-22, 2017, in Valencia, Spain. [Conference Paper,Oral in Spain]

    刘金平，包安明*，李均力，任艳群. 2001-2013年中亚干旱区季节性积雪监测及时空变异分析[J].干旱区地理. 2016, 39(02), 405-412.[CSCD]

    刘金平，古丽·加帕尔*，赵金，包安明. 多尺度遥感数据融合的荒漠净初级生产力估算[J].干旱区研究. 2015,32(03),592-597.[CSCD]

    任艳群，刘海隆，包安明，刘金平.基于SSM/I和MODIS数据的天山山区积雪深度时空特征分析[J].冰川冻土. 2015,37(05),1178-1187.[CSCD]

    Guli·Jiapaera, Shunlin Liang, Qiuxiang Yi, Jinping Liu. Vegetation dynamics and responses to recent climate change in Xinjiang using leaf area index as an indicator[J]. Ecological Indicators, 2015, 58:64-76. [SCI]

    姚峰，古丽·加帕尔，包安明，张健雄，李长春，刘金平.基于遥感技术的干旱荒漠区露天煤矿植被群落受损评估[J].中国环境科学. 2013,33(4)：707~713.[EI]


    Published Datasets

    陈金雨, 陶辉,刘金平. 1961–2015年中巴经济走廊逐日气象数据集[DB/OL].Science Data Bank. 2020. (2021-02-19). DOI: 10.11922/sciencedb.j00001.00189.


    Software Copyright

    气象站点数据管理和预处理及网格化系统

    热浪指数和热浪级别评估系统

    逐日积雪产品去云软件


    Tools

    Script Generation Tool for Downloading MODIS

    Contact Me

    Email: liujp@radi.ac.cn