地理信息科学系

 

     基本信息

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姓名:杨锦鑫

性别:

出生年月:198711

职务/职称:/教授/硕士生导师

邮箱:yangjx11@gzhu.edu.cn

电话:020-39366889

通讯地址:广州市大学城外环西路230号广州大学24848威尼斯(中国)有限公司


     个人简介

杨锦鑫,博士,副教授。2017年毕业于香港理工大学遥感与摄影测量专业,获博士学。主要从事定量遥感,热红外遥感,城市遥感等理论和应用等研究。目前在RSEISPRS等遥感领域期刊发表论文二十余篇,主持国家自然科学基金面上项目一项,国家自然科学基金青年基金一项,广东省自然科学基金面上项目一项。

     研究方向      

  • 热红外遥感

  • 城市遥感

  • 定量遥感

     主讲课程

  • 本科生:《遥感概论》、《遥感物理基础

     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

  • 2018.05-2023.07,广州大学24848威尼斯(中国)有限公司,讲师

  • 2023.07-至今, 广州大学24848威尼斯(中国)有限公司,副教授

            科研项目

  • 基于遥感能量平衡的城市散热效率及其参数化研究,国家自然科学基金面上项目,2023-2026 年,主持。

  • 城市空间异质性对地表温度反演及感热通量估算的影响,国家自然科学基金青年项目,2020-2022年,主持。

  • 基于卫星遥感数据的高密度城区地表温度反演及微气象扰动因子分析,广东省自然科学基金面上项目,2021-2023 年,主持。

       

     代表性论著专利

【论文】

[1] Yang, J., Wu, Z., Menenti, M., Wong, M., Xie, Y., Zhu, R., Abbas, S., & Xu, Y. (2023). Impacts of urban morphology on sensible heat flux and net radiation exchange. Urban Climate, 50, 101588.  (IF=6.4中国科学院二区)

[2] Zhang, Q., Wang, D., Gastellu-Etchegorry, J., Yang, J., & Qian, Y. (2023). Impact of 3-D structures on directional effective emissivity in urban areas based on DART model. Building and Environment, 239, 110410.(IF=7.4中国科学院二区)

[3] Xu, Y., Guo, C., Yang, J., Yuan, Z., & Ho, H. C. (2023). Modelling Impact of High-Rise, High-Density Built Environment on COVID-19 Risks: Empirical Results from a Case Study of Two Chinese Cities. International Journal of Environmental Research and Public Health, 20, 1422. (IF=4.79中国科学院三区)

[4] Zhu, R., Kwan, M. P., Perera, A. T. D., Fan, H., Yang, B., Chen, B., Chen, M., Qian, Z., Zhang, H., Zhang, X., Yang, J., Santi, P., Ratti, C., Li, W., & Yan, J. (2023). GIScience can facilitate the development of solar cities for energy transition. Advances in Applied Energy, 10, 100129.

[5] Yang, J., Shi, Q., Menenti, M., Xie, Y., Wu, Z., Xu, Y., & Abbas, S. (2022). Characterizing the thermal effects of vegetation on urban surface temperature. Urban Climate, 44, 101204. (IF=6.4中国科学院二区)

[6] Ouyang, X., Dou, Y., Yang, J., Chen, X., & Wen, J. (2022). High Spatiotemporal Rugged Land Surface Temperature Downscaling over Saihanba Forest Park, China. Remote Sensing, 14, 2617.  (IF=5.0中国科学院二区)

[7] Adeniran, I., Zhu, R., Yang, J., Zhu, X., & Wong, M. (2022). Cross-Comparison between Sun-Synchronized and Geostationary Satellite-Derived Land Surface Temperature: A Case Study in Hong Kong. Remote Sensing, 14, 4444.  (IF=5.0中国科学院二区)

[8] Yang, J., Qian, S., Massimo, M., Wong, M. S., Wu, Z., Zhao, Q., Abbas, S., & Xu, Y. (2021). Observing the impact of urban morphology and building geometry on thermal environment by high spatial resolution thermal images. Urban Climate, 39, 100937. (IF=6.4中国科学院二区)

[9] Wu, Z., Xu, Y., Cao, Z., Yang, J., & Zhu, H. (2021). Impact of Urban Agglomeration and Physical and Socioeconomic Factors on Surface Urban Heat Islands in the Pearl River Delta Region, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-1. (IF=5.5中国科学院三区)

[10] Ouyang, X., Chen, D., Zhou, S., Zhang, R., Yang, J., Hu, G., Dou, Y., & Liu, Q. (2021). A Slight Temperature Warming Trend Occurred over Lake Ontario from 2001 to 2018. Land, 10, 1315. (IF=3.9中国科学院三区)

[11] Yang, J., Menenti, M., Wong, M., Wu, Z., Ouyang, X., Xu, Y., & Abbas, S. (2021). Thermal Infrared Imaging of the Urban Landscape to Understand Urban Microclimate. In Urban Heat Islands: Remote Sensing and Mitigation (p. 10.1002/9781119625865.ch17).

[12] Yang, J., Wong, M. S., Ho, H., Krayenhoff, E. S., Chan, P. W., Abbas, S., & Menenti, M. (2020). A semi-empirical method for estimating complete surface temperature from radiometric surface temperature, a study in Hong Kong city. Remote Sensing of Environment, 237, 111540. (IF=13.5中国科学院一区)

[13] Yang, J., Menenti, M., Wu, Z., Wong, M., Abbas, S., Xu, Y., & Shi, Q. (2020). Assessing the impact of urban geometry on surface urban heat island using complete and nadir temperatures. International Journal of Climatology, 41. (IF=3.9中国科学院三区)

[14] Yang, J., Menenti, M., Krayenhoff, E. S., Wu, Z., Shi, Q., & Ouyang, X. (2019). Parameterization of Urban Sensible Heat Flux from Remotely Sensed Surface Temperature: Effects of Surface Structure. Remote Sensing, 11(11), 1347. (IF=5.0中国科学院二区)

[15] 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.

[16] Ho, H., Abbas, S., Yang, J., Zhu, R., & Wong, M. (2019). Spatiotemporal Prediction of Increasing Winter Perceived Temperature across a Sub-Tropical City for Sustainable Planning and Climate Change Mitigation. International Journal of Environmental Research and Public Health, 16(3).IF=2.14

[17] 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=11.8中国科学院一区)

[18] 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=4.9中国科学院三区)

[19] 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=12.7中国科学院一区)

[20] 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=4.8中国科学院)

[21] Yang, J., Wong, M. S., Menenti, M., & Nichol, J. (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=12.7中国科学院一区)

[22] Yang, J., Wong, M. S., Menenti, M., & Nichol, J. (2015). Modeling the effective emissivity of the urban canopy using sky view factor. ISPRS Journal of Photogrammetry and Remote Sensing, 105, 211-219.(IF=12.7中国科学院一区)

[23] 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=4.8中国科学院)

[24] 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, p. 012272). IOP Publishing.(EI)

[25] 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)

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