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何家莹

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
美国马里兰大学 地理科学系 博士
美国佐治亚大学 地理系 硕士
武汉大学 遥感信息工程学院 工学学士
工作经历
清华大学地球系统科学系,博士后,2020-至今
美国马里兰大学地理科学,研究助理,2017-2020
美国马里兰大学地理科学系,助教,2015-2017
美国佐治亚大学,研究助理,2014
NASA-DEVELOP项目佐治亚大学研究中心,顾问&项目负责人,2013-2014
研究兴趣
陆地生态系统干扰及碳循环,大尺度遥感制图,动态植被模式模拟
奖励荣誉
2020年国家优秀自费留学生奖学金
2020年清华大学水木学者
2020年美国马里兰大学地理科学系优秀研究生奖
2019年美国马里兰大学研究生院Goldhaber Travel Grant
2019年美国航空航天局陆地生态 (NASA Terrestrial Ecology) 项目会议最佳学生报告奖
2018年微软地球人工智能奖(AI for Earth Grant)
2014年美国马里兰大学研究生院Dean’s Fellowship
研究概况
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 美国马里兰大学 地理科学系 博士<br>
美国佐治亚大学 地理系 硕士<br>
武汉大学 遥感信息工程学院 工学学士
工作经历 清华大学地球系统科学系,博士后,2020-至今<br>
美国马里兰大学地理科学,研究助理,2017-2020<br>
美国马里兰大学地理科学系,助教,2015-2017<br>
美国佐治亚大学,研究助理,2014<br>
NASA-DEVELOP项目佐治亚大学研究中心,顾问&项目负责人,2013-2014
研究兴趣 陆地生态系统干扰及碳循环,大尺度遥感制图,动态植被模式模拟 奖励荣誉 2020年国家优秀自费留学生奖学金<br>
2020年清华大学水木学者<br>
2020年美国马里兰大学地理科学系优秀研究生奖<br>
2019年美国马里兰大学研究生院Goldhaber Travel Grant<br>
2019年美国航空航天局陆地生态 (NASA Terrestrial Ecology) 项目会议最佳学生报告奖<br>
2018年微软地球人工智能奖(AI for Earth Grant)<br>
2014年美国马里兰大学研究生院Dean’s Fellowship<br>

学术成果

SCI论文:

[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 

 

发表数据:

[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