何明珠 - 北京师范大学 - 国家安全与应急管理学院

个人简介

教育经历 2006/09 – 2010/06：南京大学，地理信息科学，学士 2010/09 – 2013/06：南京大学，地图学与地理信息系统，硕士 2013/09 – 2018/12：蒙大拿大学，系统生态学，博士工作经历 2019/03 – 2022/12：北京大学，博士后科研项目国家自然科学基金青年基金项目“陆地生态系统光能利用率时空格局及其驱动机制研究”，2021-2023，在研

研究领域

全球气候变化；植被遥感；陆地生态系统碳水循环模拟；植被大气交互作用

近期论文

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He, M., Chen, S., Lian, X., Wang, X., Peñuelas, J., Piao, S. Global spectrum of vegetation light-use efficiency. Geophysical Research Letters, 2022, 49, e2022GL099550. He, M., Piao, S., Huntingford, C., Xu, H., Wang, X., Bastos, A., Cui, J., Gasser, T. Amplified warming from CO2 physiological effect reduces vegetation potential for climate change mitigation. Communications Earth & Environment, 2022, 3,160. He, M., Lian, X., Cui, J., Xu, H., Piao, S. Vegetation physiological response to increasing atmospheric CO2 slows the decreases in the seasonal amplitude of temperature. Geophysical Research Letters, 2022, 49, e2022GL097829 He, M., Kimball, J.S., Yi, Y., Mu, Q., Running, S., Guan, K., Moreno, A., Wu, X., Maneta, M. Satellite data-driven modeling of field scale evapotranspiration in croplands using the MOD16 algorithm framework. Remote Sensing of Environment, 2019, 230, 111201 He, M., Kimball, J.S., Yi, Y., Running, S., Guan, K., Jensco, K., Maxwell, B., Maneta, M. Impacts of 2017 flash drought in the US Northern Plains informed by satellite-based evapotranspiration and solar-induced fluorescence. Environmental Research Letters, 2019, 14, 074019 He, M., Kimball, J.S., Maneta, M.P., Maxwell, B.D., Moreno, A., Begueria, S., Wu, X. Regional crop gross primary productivity and yield estimation using fused Landsat-MODIS data. Remote Sensing, 2018, 10, pp:372. He, M., Kimball, J.S., Running, S., Ballantyne, A., Guan, K., Huemmrich, F. Satellite detection of soil moisture related water stress impacts on ecosystem productivity using the MODIS-based photochemical reflectance index. Remote Sensing of Environment, 2016, 186, pp: 173-183. He, M., Ju, W., Zhou, Y., Chen, J., He, H., Wang, S., Wang, H., Guan, D., Yan, J., Li, Y., Hao, Y., Zhao, F. Development of a two-leaf light use efficiency model for improving the calculation of terrestrial gross primary productivity. Agricultural and Forest Meteorology, 2013, 17, pp: 28-39. He, M., Zhou, Y., Ju, W., Chen, J., Zhang, L., Wang, S., Saigusa, N., Hirata, R., Murayama, S., Liu, Y. Evaluation and improvement of MODIS gross primary productivity in typical forest ecosystems of East Asia based on eddy covariance measurements. Journal of Forest Research, 2013, 18, pp: 31-40.