孙晔然，中国科学院空天信息创新研究院研究员，国家级青年人才计划入选者。2008年获得西北大学地理信息系统专业学士，2011年获得中国科学院地理科学与资源研究所地图学与地理信息系统专业硕士，2015年获得德国海德堡大学地理信息科学专业博士。

已发表学术论文60多篇和3本专著，包括SCI/SSCI期刊论文50多篇。担任过多个SCI期刊的客座主编、英国科研基金评审、EAI International Conference on Big Data Technologies and Applications程序委员会委员、国际学术研讨会GeoExT ACM SIGSPATIAL学术委员会委员和国际学术研讨会ECIR GeoExT学术委员会委员。现兼任国际制图协会 (ICA) LBS委员会委员和国际中国规划学会 (IACP) 成员。

工作经历：

2025.07 – 至今      中国科学院空天信息创新研究院  研究员

2022.05 – 2025.07    林肯大学   高级讲师

2020.02 – 2022.05    斯旺西大学   讲师

2019.03 – 2020.02    中山大学   副教授

2016.03 – 2019.01    格拉斯哥大学   博士后

社会遥感地理计算、社会感知、时空大数据分析与挖掘

英国自然环境研究理事会（NERC）, 专题项目, PO 4060266913, Discipline Hopping for Environmental Solutions，2021-2022，子课题负责人

国家自然科学基金委员会, 面上项目, 42171214, 中国城市创意网络结构与演化机制研究：以数字音乐为例, 2022-2025, 参与

[1] Sun, Y., Xie, J., Wang, Y., Chan, T.O., & Sun, Z.Y. (2024). Mapping local-scale working population and daytime population densities using points-of-interest and nighttime light satellite imageries. Geo-spatial Information Science, 27(6), 1852–1867.
[2] Sun, Y., Wang, S., Zhang, X., Chan, T.O. & Wu, W. (2021). Estimating local-scale domestic electricity energy consumption using demographic, nighttime light imagery and Twitter data. Energy, 226, 120351.
[3] Sun, Y. & Thakuriah, P. (2021). Public transport availability inequalities and transport poverty risk across England. Environment and Planning B: Urban Analytics and City Science, 48(9), 2775-2789.
[4] Sun, Y., Wang, S., Xie, J., & Hu, X. (2020). Modelling local-scale violent crime rate: a comparison of eigenvector spatial filtering models and conventional spatial regression models. Professional Geographer, 73(2), 312-321.
[5] Sun, Y., Wang, S., & Wang, Y. (2020). Estimating local-scale urban heat island intensity using nighttime light satellite imageries. Sustainable Cities and Society, 57, 102125.
[6] Sun, Y., Hu, X., & Xie, J. (2020). Spatial inequalities of COVID-19 mortality rate in relation to socioeconomic and environmental factors across England. Science of the Total Environment, 758, 143595.
[7] Sun, Y., Moshfeghi, Y. and Liu, Z. (2017). Exploiting crowdsourced geographic information and GIS for assessment of air pollution exposure during active travel. Journal of Transport & Health, 6, 93-104.
[8] Sun, Y., Mburua, L. and Wang, S. (2016). Analysis of community properties and node properties to understand the structure of the bus transport network. Physica A: Statistical Mechanics and its Applications, 450, 523-530.
[9] Sun, Y., Fan, H., Li, M. and Zipf, A. (2016). Identifying the city center using human travel flows generated from location-based social networking data. Environment and Planning B, 43(3), 480-498.
[10] Sun, Y. and Li, M. (2015). Investigation of travel and activity patterns using location-based social network data: a case study of active mobile social media users. ISPRS International Journal of Geo-Information, 4(3), 1512-1529.
[11] Sun, Y., Fan, H., Bakillah, M. and Zipf, A. (2015). Road-based Travel Recommendation Using Geo-tagged Images. Computers, Environment and Urban Systems, 53, 110–122.
[12] 孙晔然，杜云艳，苏奋振，周成虎. (2011). 土地利用变化预测CBR方法的适应性分析. 地理科学进展, 30 (7): 912-919.