基本信息
姓名：杨锦鑫
性别：女
出生年月：1987年11月
职务/职称：讲师
邮箱：yangjx11@gzhu.edu.cn
电话：13226424942
通讯地址：广州市大学城外环西路230号广州大学地理科学学院
个人简介
杨锦鑫，博士，讲师。2017年毕业于香港理工大学土地测量与自理资讯系，获“遥感与摄影测量”专业博士学位，2013年毕业于中国科学院遥感与数字地球研究所，获“电子与通信工程”专业硕士学位，2010年毕业于武汉大学遥感学院，获“遥感科学与技术”专业学士学位。2018年5月起就职于广州大学地理科学学院，任讲师。主要从事热红外遥感，定量遥感，城市热岛，城市地表能量平衡等相关领域的研究及教学工作。发表论文十余篇，担任Remote Sensing of Environment, ISPRS photogrametry and remote sensing 等主流期刊的审稿人。
研究方向
热红外遥感，定量遥感
城市热岛，城市遥感，城市地表能量平衡等
教育与工作经历
2006.09－2010.07，武汉大学遥感学院，获遥感科学与技术学士学位
2010.09－2013.07，中国科学院遥感与数字地球研究所，获电子与通信工程专业硕士学位
2010.09－2017.09，香港理工大学土地测量与地理资讯系，获遥感与摄影测量专业博士学位
2017.04－2018.03，香港理工大学土地测量与地理资讯系，助理研究员
2018.05至今，广州大学地理科学学院，讲师
代表性论著专利
【论文】
[1] Yang, J., Wong, M. S., Menenti, M., Nichol, J., Voogt, J., Krayenhoff, E. S., & Chan, P. W. (2016). Development of an improved urban emissivity model based on sky view factor for retrieving effective emissivity and surface temperature over urban areas. ISPRS Journal of Photogrammetry and Remote Sensing, 122, 30-40. (IF=6.38，中国科学院一区)
[2] Yang, J., Wong, M. S., & Menenti, M. (2016). Effects of Urban Geometry on Turbulent Fluxes: A Remote Sensing Perspective. IEEE Geoscience and Remote Sensing Letters, 13(12), 1767-1771. (IF=2.76，中国科学院三区)
[3] Yang, J., Wong, Man Sing, Menenti, Massimo, & Nichol, Janet (2015). Study of the geometry effect on land surface temperature retrieval in urban environment. ISPRS Journal of Photogrammetry and Remote Sensing, 109, 77-87. (IF=6.38，中国科学院一区)
[4] Yang, J., Wong, Man Sing, Menenti, Massimo, & Nichol, Janet (2015). Modeling the effective emissivity of the urban canopy using sky view factor. ISPRS Journal of Photogrammetry and Remote Sensing, 105, 211-219. (IF=6.38，中国科学院一区)
[5] Wong, M. S., Yang, J., Nichol, J., Weng, Q., Menenti, M., & Chan, P. W. (2015). Modeling of anthropogenic heat flux using HJ-1B Chinese small satellite image: A study of heterogeneous urbanized areas in Hong Kong. IEEE Geoscience and Remote Sensing Letters, 12(7), 1466-1470. (IF=2.76，中国科学院三区)
[6] Wong, M. S., Ho, H. C., Yang, L., Shi, W., Yang, J., & Chan, T. C. (2017). Spatial variability of excess mortality during prolonged dust events in a high-density city: a time-stratified spatial regression approach. International journal of health geographics, 16(1), 26.(IF=3.19)
[7] Ho, H. C., Wong, M. S., Yang, L., Shi, W., Yang, J., Bilal, M., & Chan, T. C. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environment international, 112, 10-22. （IF=7.088）
[8] Yang, J., Jia, L., Cui, Y., Zhou, J., & Menenti, M.. (2014, March). Evaluation of a Linear Mixing Model to Retrieve Soil and Vegetation Temperatures of Land Targets. In IOP Conference Series: Earth and Environmental Science (Vol. 17, No. 1, p. 012272). IOP Publishing. (EI)
[9] 杨锦鑫, 贾立. (2014). 基于双角度 AATSR 遥感数据的组分温度反演. 遥感技术与应用, 29(2), 247-257. (中文核心)
[10] Yang, J., Wong, M. S., & Ho, H. C. (2019). Retrieval of Urban Surface Temperature Using Remote Sensing Satellite Imagery. In Big Data for Remote Sensing: Visualization, Analysis and Interpretation (pp. 129-154). Springer, Cham.
[11] Ho, H.C.; Abbas, S.; Yang, J.; Zhu, R.; Wong, M.S. Spatiotemporal Prediction of Increasing Winter Perceived Temperature across a Sub-Tropical City for Sustainable Planning and Climate Change Mitigation. Int. J. Environ. Res. Public Health 2019, 16, 497. （IF=2.14）
