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Jiaying He

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E-mail: hejiaying0608@gmail.com; hejiaying@mail.tsinghua.edu.cn

Education Background
Ph.D. in Geographical Sciences. University of Maryland at College Park.
M.Sc. in Geography. University of Georgia.
B.Eng. in Science and Technology of Remote Sensing. Wuhan University.
Work Experience
Postdoctoral researcher at Department of Earth System Science, Tsinghua University, 2020/10-present.
Graduate research assistant at Department of Geographical Sciences, University of Maryland at College Park, 2017-2020.
Graduate teaching assistant at Department of Geographical Sciences, University of Maryland at College Park, 2015-2017.
Graduate research assistant at Department of Geography, University of Georgia, 2013-2014.
Consultant & project lead at NASA DEVELOP Program – UGA center, 2013-2014.
Research Interests
Biogeoscience, fire disturbance, remote sensing, climate change
Awards & Honors
Chinese Government Award for Outstanding Self-financed Students Abroad. 2020.
Shuimu Postdoctoral Fellowship from Tsinghua University. 2020 – 2022.
Excellence in Graduate Research from Department of Geographical Sciences (2nd place), University of Maryland. 2020.
University of Maryland Graduate School Goldhaber Travel Grant. 2019.
Outstanding Student Presentation Award (1st place) at NASA Terrestrial Ecology Science Team Meeting. 2019.
Microsoft AI for Earth Grant. 2018 – 2019.
NASA 4th ABoVE Science Team Meeting Travel Grant at Seattle, Washington. 2018.
NASA & Alaska Fire Science Consortium Workshop Travel Grant at Fairbanks, Alaska. 2017.
Dean’s Fellowship of College of Behavioral & Social Sciences, University of Maryland. 2014.
research situation
职称 办公电话
电子邮件 hejiaying0608@gmail.com; hejiaying@mail.tsinghua.edu.cn 研究组主页
教育背景 Ph.D. in Geographical Sciences. University of Maryland at College Park.<br>
M.Sc. in Geography. University of Georgia.<br>
B.Eng. in Science and Technology of Remote Sensing. Wuhan University.		 工作经历 Postdoctoral researcher at Department of Earth System Science, Tsinghua University, 2020/10-present.<br>
Graduate research assistant at Department of Geographical Sciences, University of Maryland at College Park, 2017-2020.<br>
Graduate teaching assistant at Department of Geographical Sciences, University of Maryland at College Park, 2015-2017.<br>
Graduate research assistant at Department of Geography, University of Georgia, 2013-2014.<br>
Consultant & project lead at NASA DEVELOP Program – UGA center, 2013-2014.
研究兴趣 Biogeoscience, fire disturbance, remote sensing, climate change 奖励荣誉 Chinese Government Award for Outstanding Self-financed Students Abroad. 2020.<br>
Shuimu Postdoctoral Fellowship from Tsinghua University. 2020 – 2022.<br>
Excellence in Graduate Research from Department of Geographical Sciences (2nd place), University of Maryland. 2020.<br>
University of Maryland Graduate School Goldhaber Travel Grant. 2019.<br>
Outstanding Student Presentation Award (1st place) at NASA Terrestrial Ecology Science Team Meeting. 2019.<br>
Microsoft AI for Earth Grant. 2018 – 2019.<br>
NASA 4th ABoVE Science Team Meeting Travel Grant at Seattle, Washington. 2018.<br>
NASA & Alaska Fire Science Consortium Workshop Travel Grant at Fairbanks, Alaska. 2017.<br>
Dean’s Fellowship of College of Behavioral & Social Sciences, University of Maryland. 2014.

Research situation

Publications:

[1] He, J., Chen, D., French, N., & Loboda, T.V. (2022) Cloud-to-ground lightning and near-surface fire weather control wildfire occurrence in Arctic tundra. Geophysical Research Letters, 49(2), e2021GL096814. https://doi.org/10.1029/2021GL096814

[2] He, J., Chen, D., Jenkins, L., & Loboda, T.V. (2021). Impacts of fire and landscape factors on organic soil properties in Arctic tussock tundra. Environmental Research Letters, 16(8), 085004. https://doi.org/10.1088/1748-9326/ac1192

[3] He, J., & Loboda, T. V. (2020). Modeling cloud-to-ground lightning probability in Alaskan tundra through the integration of Weather Research and Forecast (WRF) model and machine learning method. Environmental Research Letters, 15(11), 115009. https://doi.org/10.1088/1748-9326/abbc3b

[4] He, J., Loboda, T. V., Jenkins, L. & Chen, D. (2019). Mapping fractional coverages of major fuel type components in Alaskan tundra. Remote Sensing of Environment, 232: 111324. https://doi.org/10.1016/j.rse.2019.111324

[5] He, J., Hong, L., Frias-Martinez, V., & Torrens, P. (2015). Uncovering social media reaction pattern to protest events: A spatiotemporal dynamics perspective of Ferguson unrest. n: Liu TY., Scollon C., Zhu W. (eds) Social Informatics. SocInfo 2015. Lecture Notes in Computer Science, vol 9471, pp. 67-81. https://doi.org/10.1007/978-3-319-27433-1_5

[6] Liu, X., Cheng, X., Liang, Q., Li, T., Peng, F., Chi, Z., & He, J. Grounding Event of Iceberg D28 and Its Interactions with Seabed Topography. Remote Sensing. 2022, 14, 154. https://doi.org/10.3390/rs14010154 

[7] Chen, D., Shevade, V., Baer, A., He, J., Hoffman-Hall, A., Ying, Q., Li, Y., & Loboda, T.V. (2021). A Disease Control-Oriented Land Cover Land Use Map for Myanmar. Data, 6, 63. https://doi.org/10.3390/data6060063 

[8] Bandaru, V., Yaramasu, R., PNVR, K., He, J., Fernando, S., Sahajpal, R., Wardlow, B. D., Suyker, A., & Justice, C. (2020). PhenoCrop: An integrated satellite-based framework to estimate physiological growth stages of corn and soybeans. International Journal of Applied Earth Observation and Geoinformation, 92, 102188. https://doi.org/10.1016/j.jag.2020.102188

[9] Shen, W., He, J., Huang, C., & Li, M. (2020). Quantifying the actual impacts of forest cover change on surface temperature in Guangdong, China. Remote Sensing, 12 (15), 2354. https://doi.org/10.3390/rs12152354

[10] Shen, W., Mao, X., He, J., Dong, J., Huang, C., & Li, M. (2020). Understanding current and future fragmentation dynamics of urban forest cover in Nanjing Laoshan Region of Jiangsu, China. Remote Sensing, 12 (1), 155. https://doi.org/10.3390/rs12010155 

[11] Pahlevan, N., Sarkar, S., Franz, B. A., Balasubramanian, S. V, & He, J. (2017). Sentinel-2 MultiSpectral Instrument (MSI) data processing for aquatic science applications: Demonstrations and validations. Remote Sensing of Environment, 201, 47–56. https://doi.org/10.1016/j.rse.2017.08.033 

[12] Prell, C., Sun, L., Feng, K., He, J., & Hubacek, K. (2017). Uncovering the spatially distant feedback loops of global trade: A network and input-output approach. Science of the Total Environment, 586, 401-408. https://doi.org/10.1016/j.scitotenv.2016.11.202 

[13] Song, J., He, J. & Zhen, J. (2015). Real-time data assimilation for improving linear municipal solid waste prediction model: A Case Study in Seattle. Journal of Energy Engineering, 141(4), 5014002. https://doi.org/10.1061/(ASCE)EY.1943-7897.0000217 

[14] Song, J. & He, J. (2014). A multistep chaotic model for municipal solid waste generation prediction. Environmental Engineering Science, 31(8), 461-468. https://doi.org/10.1089/ees.2014.0031 

 

Published datasets:

[1] He, J., Loboda T. V., Jenkins L., Chen, D. (2019). ABoVE: Distribution maps of wildland fire fuel components across Alaskan Tundra, 2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1761 

[2] Chen, D., Baer, A., He, J., Hoffman-Hall, A., Shevade, V., Ying, Q., & Loboda, T. V. (2020). Land cover land use map for Myanmar at 30-m resolution for 2016. PANGAEA. https://doi.org/10.1594/PANGAEA.921126 

[3] Loboda, T. V, Chen, D., Hall, J. V, & He, J. (2018). ABoVE: Landsat-derived burn scar dNBR across Alaska and Canada, 1985-2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1564