赵春红

职称

副教授

所在学院（系、所）

地质与测绘学院

通讯地址

天津市西青区津静公路26号

电子信箱

zhaoch@tcu.edu.cn

教育经历

2014.08-2018.05理学博士,美国德克萨斯州立大学,地理信息科学

2011.09-2014.06理学硕士,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

2007.09-2011.06理学及工学学士,山东科技大学,地理信息系统（自动化）

工作经历

2024.12-至今，天津城建大学，地测学院，副教授

2020.02-2024.12 东北师范大学，地理科学学院，副教授

2018.05-2020.02 瑞士联邦理工研究所（WSL），博士后

主要科研方向

1)环境遥感与人居环境量化

2)城市地理人工智能

2)城市热环境效应分析

主要讲授课程

1.遥感数字图像处理，本科，40学时

2.遥感数字图像处理课程设计，本科，90学时

3.地理基础实验：遥感，本科，18学时

4.GIS组件开发，本科，51学时

5.GIS软件工程，本科，32学时

6.地理信息科学进展，本科，18学时

7.GIS开发实习，本科，18学时

8.遥感地学分析，硕士研究生，32学时

9.制图表达与可视化，硕士研究生，32学时

主要学术兼职

1.中国地理学会，会员

2.美国地理学会，会员

主要荣誉称号

1.全国GIS青年教师讲课比赛，二等奖

2.易智瑞全国大学生GIS软件开发竞赛，优秀指导教师，指导学生获得全国一等奖、二等奖、三等奖数项（2021-2024年）

主要科研项目

1.国家自然科学基金面上项目，基于双层时空图卷积网络建模的街道行人热舒适性优化研究，2026.01-2029.12,主持

2.国家自然科学基金青年项目，基于三维形态的城市环境多维感知及其异质性研究，2022.01-2024.12,主持

3.吉林省教育厅项目，三维城市形态下的环境多维感知及其异质性特征-以长春市为例，2022.01-2023.12,主持

4.教育部产学研协同育人项目，面向一流学科建设和课程改革下的GIS实践基地建设，2021.10- 2022.10,主持

5.资源与环境信息系统国家重点实验室开放基金，顾及三维形态特征的城市环境多维感知及成因分析，2022.10-2024.10,主持

6.中国香港普通研究资助基金，亚洲季风区主要都市地区植被物候对地表温度的响应，2023.01- 2026.12,参与

7.东北师范大学地理科学学院本科教学建设与改革项目，2021.01-2022.12,主持

8.中央高校基本科研业务费启动基金，城市三维灰色-绿色空间与变化过程表征，2020.01-2021.12,主持

9.瑞士自然科学基金委与欧洲研究理事会 Consolidator巩固资助基金，区域战略规划对城市形态特征的影响(CONCUR-From plans to land change: how strategic spatial planning contributes to the development of urban regions),子课题负责人

代表性论文

1.Zhao, C., He, Z., Hersperger, A. M. (2025). How do planning intentions spatiotemporally drive 3-D urban growth?Habitat International, 157, 103307. (中科院一区)

2.Wang, S., *Zhao, C., Jiang, Q., Zhu, D., Ma, J., & Sun, Y.(2025).Application of Graph Convolutional Neural Networks and multi-sources data on urban functional zones identification, A case study of Changchun, China.Sustainable Cities and Society,106116.(中科院一区)

3.He. Z., Zhai, W., *Zhao, C. (2025). Using social sensing to evaluate the effect of spatial planning: A case study of Yangtze River Delta Urban Agglomeration in China.Frontiers of Architectural Research. (中科院一区)

4.Wei, S., He. Z., Zhai, W.,*Zhao, C.(2025). How does vegetation influence surface temperature across various road types and urban morphology types?Building and Environment,112511.(中科院一区)

5.Zhang, L., Wang, S., Zhai, W., He, Z., Shi, W., Li, Y., &*Zhao, C.(2025). How does Blue-Green Infrastructure affect the urban thermal environment across various functional zones?Urban Forestry & Urban Greening, 128698.(中科院二区top)

6.Zhao, C., Weng, Q., & He, Z. (2024). Spatiotemporal analysis of underlying factors in urban transformations: Quantifying the importance of urban plan intentions in the Austin Metropolitan Area, Texas.Land Use Policy,149, 107415.(中科院一区).

7.Zhao, C.,Liu, Z., Jiang, Q., Lv, W., Chen, J., Gao, D.(2024). Increased global warming potential during freeze-thaw cycle is primarily due to the contribution of N₂O rather than CO₂. 954,Science of the Total Environment.(中科院二区)

8.He, Z.,*Zhao, C., Fürst, C., & Hersperger, A. M. (2024). How does the effect of urban growth management change over time and across urban land uses? Evidence from China’s construction land quotas.Journal of Land Use Science, 19(1), 239–257. (JCR一区)

9.Wang, Y., Wang, S.,*Zhao, C.(2024). How do the 3D urban morphological characteristics spatiotemporally affect the urban thermal environment? A case study of San Antonio, 261, 111738.Building and Environment(中科院一区).

10.Gao, D., Shi, W., Wang, H., Liu, Z., Jiang, Q., Lv, W., Wang, S., Zhang, Y.,*Zhao, C.,Hagedorn, F. (2024). Contrasting global patterns of soil microbial quotients of carbon, nitrogen, and phosphorus in terrestrial ecosystems.Catena, 108145. (中科院一区)

11.Zhao, C., *Weng, Q., Wang, Y., Hu, Z., & Wu, C. (2022). Use of local climate zones to assess the spatiotemporal variations of urban vegetation phenology in Austin, Texas, USA,GIScience & Remote Sensing, 59:1, 393-409.(中科院二区)

12.*Zhao, C., Hersperger, A., Weng, Q., (2020). Characterizing the 3-D urban morphology transformation to understand urban-form dynamics: a case study of Austin, Texas, USA.Landscape and Urban Planning, 203, 103881(中科院一区top).

13.*Zhao, C., Jensen, J., Weng, Q., Currit, N., & Weaver, R. (2020). Use of Local Climate Zones to investigate surface urban heat islands in Texas,GIScience & Remote Sensing, 57:8, 1083-1101.(中科院一区top)

14.*Zhao, C., Jensen, J.L., Weaver, R., (2020). Global and Local Modeling of Land Use Change in the Border Cities of Laredo, Texas, USA and Nuevo Laredo, Tamaulipas, Mexico: A Comparative Analysis.Land, 9, 347.(中科院二区)

15.*Zhao, C., Jensen, J., Weng, Q., Currit, N., & Weaver, R. (2019). Application of airborne remote sensing data on mapping local climate zones: Cases of three metropolitan areas of Texas, US.Computers, Environment and Urban Systems, 74, 175-193.(中科院一区top)

16.Zhao, C., Jensen, J., *Weng, Q., & Weaver, R. (2018). A Geographically Weighted Regression Analysis of the Underlying Factors Related to the Surface Urban Heat Island Phenomenon.Remote Sensing, 10(9),1428.(中科院二区)

17.*Zhao, C.(2018). Linking the Local Climate Zones and Land Surface Temperature to Investigate the Surface Urban Heat Island, a Case Study of San Antonio, Texas, US.ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 4(3).

18.*Zhao, C., Jensen, J., & Zhan, B. (2017). A comparison of urban growth and their influencing factors of two border cities: Laredo in the US and Nuevo Laredo in Mexico.Applied Geography, 79, 223- 234.(中科院二区)

19.*Zhao, C., Jensen, J., Deng, X., & Dede-Bamfo, N. (2016). Impacts of LiDAR Sampling Methods and Point Spacing Density on DEM Generation.Papers in Applied Geography, 2(3), 261-270.

20.*Deng, X., Wang, Z., & #Zhao, C.(2016). Economic Evolution in China Ecologically Fragile Regions.

Journal of Economic Surveys, 30(3), 552-576.

21.*Zhao, C., et.al. (2015). A comparison of integrated river basin management strategies: A global perspective.Physics and Chemistry of the Earth, 89, 10-17.

22.*Deng, X., & #Zhao, C.(2014). Identification of water scarcity and providing solutions for adapting to climate changes in the Heihe River Basin of China. Advances in Meteorology, 279173.

23.*Deng, X., #Zhao, C., et.al. (2014). Downscaling the impacts of large-Scale LUCC on surface temperature along with IPCC RCPs: A global perspective.Energies, 7(4), 2720-2739.

24.Zhao, C.,*Deng, X., et.al. (2013). Prediction of drought risk based on the WRF model in Yunnan Province of China.Advances in Meteorology, 295856.

25.*Zhao, C., et.al. (2013). Projected urbanization impacts on surface climate and energy budgets in the Pearl River Delta of China.Advances in Meteorology, 542086.

26.*Deng, X., #Zhao, C., & Yan, H. (2013). Systematic modeling of impacts of land use and land cover changes on regional climate: a review.Advances in Meteorology, 317678.

备注：*标注为通讯作者，#标注为第一作者为本人导师

（二）EI期刊论文

1.Zhao, C., Wang, Y., Gong, C., & Gao, Y. (2023). Multi-dimensional perception of urban environment and their relationship with urban functional characteristics. In 2023 30th International Conference on Geoinformatics (pp. 1-6). IEEE.

2.Wang, S., Chu, H., Gong, C., Wang, P., Wu, F., &*Zhao, C.(2022). The Effects of COVID-19 Lockdown on Air Pollutant Concentrations across China: A Google Earth Engine-Based Analysis.International Journal of Environmental Research and Public Health, 19(24), 17056. (指导学生)

3.Wang, S., Wu, F., Li, N., Chen, Y., Wang, Y., Zhou, X., ... &*Zhao, C. (2022). Characterizing urban expansion pattern to understand urban form dynamics based on Google Earth Engine platform. In2022 29th International Conference on Geoinformatics(pp.1-7).IEEE. (指导学生)

4.Gong, C., Chu, H., Ouyang, L., Wang, S., Zhao, Y.,*Zhao, C., & Liu, Z. (2022). Identification of Urban Functional Regions based POI data and the economic contribution index, a case study of Chongqing, China.In2022 29th International Conference on Geoinformatics(pp. 1-7).IEEE. (指导学生)

（三）中文论文

1.赵春红,邓祥征,张洪,&吴锋. (2013).云南“城镇上山”工程适宜性评价.今日国土,005,39-41.

2.邓祥征,^#赵春红,&袁永卫. (2013).基于WRF模式的云南省干旱发生风险的预测分析.中国人口资源与环境,23(10),95-101.

#标注为第一作者为本人导师