Senior Lecturer
School of Design and the Built Environment
Curtin University
Perth, 6102, WA, Australia
Email: yongze.song@curtin.edu.au

Dr. Yongze Song is a Senior Lecturer at Curtin University. He is a Royal Geographical Society (RGS) Fellow, UK, DAAD AInet Fellow, Germany, and a Committee Member of the International Association for Mathematical Geosciences (IAMG).

Yongze leads a Geospatial Analysis and AI team, maintaining strong industry networks and delivering industry-driven research projects about sustainable infrastructure management using emerging technologies. He developed more than 16 new geospatial methods and 8 R software packages with over 140,000 downloads for understanding geographical and spatial data. He published 70 peer-reviewed journal articles, including 7 highly-cited papers. He is a recipient of more than ten awards at international and national levels, such as the Geospatial World 50 Rising Stars, the Global Top 10 Young Scientist Award, World’s Top 2% Scientists by Stanford University, and the Australian National Location Data First Prize.

He is an Editorial Board Member of over 10 international peer-reviewed journals, including International Journal of Applied Earth Observation and Geoinformation, GIScience & Remote Sensing, iScience (Cell Press), Geoscientific Model Development, All Earth, Journal of Spatial Science, International Journal of Digital Earth, Remote Sensing, Geo-spatial Information Science, Annals of GIS, etc. He serves as a Chair or Program Committee Member for international conferences held in Australia, the United Kingdom, Egypt, Norway, China, France, the United States, Canada, Iran, Vanuatu, and Greece. He serves 50 peer-reviewed journals as a reviewer. He was invited to present more than 60 research seminars at universities (e.g., Harvard University, Australian National University, National University of Singapore, Peking University, etc.) and industries globally.

Research Interests

Sustainable development, spatial statistics, geospatial theories, sustainable infrastructure, remote sensing, geospatial artificial intelligence, megaproject management

Publications

Featured Articles

[1] Song, Y.*, 2022. The second dimension of spatial association. International Journal of Applied Earth Observation and Geoinformation. 111, 102834.

[2] Song Y.*, 2023. Geographically Optimal Similarity. Mathematical Geosciences. 8:1-26.

[3] Zhang. Z., Song, Y.*, Luo, P., & Wu, P., 2023. Geocomplexity explains spatial errors. International Journal of Geographical Information Science.

[4] Luo, P., Song, Y.*, Zhu, D., Cheng, J., & Meng, L., 2023. A generalized heterogeneity model for spatial interpolation. International Journal of Geographical Information Science. 37(3): 634-659.

[5] Song, Y., Wu, P., 2021. An interactive detector for spatial associations. International Journal of Geographical Information Science.

[6] Song, Y., Long, Y., Wu, P., et al., 2018. Are all cities with similar urban form or not? Redefining cities with ubiquitous points of interest and evaluating them with indicators at city and block levels in China. International Journal of Geographical Information Science. 32(12): 2447-2476.

[7] Luo, P., Song, Y.*, Huang, X., Ma, H., et al., 2022. Identifying determinants of spatio-temporal disparities in soil moisture of the Northern Hemisphere using a geographically optimal zones-based heterogeneity model. ISPRS Journal of Photogrammetry and Remote Sensing. 185, 111-128.

[8] Zhang, Z., Song, Y.*, & Wu, P., 2022. Robust geographical detector. International Journal of Applied Earth Observation and Geoinformation. 109, 102782.

[9] Li, Y., Luo, P., Song, Y., Zhang, L., Qu, Y. and Hou, Z., 2023. A locally explained heterogeneity model for examining wetland disparity. International Journal of Digital Earth, 16(2), pp.4533-4552.

[10] Song, Y.*, Wang, J.F., Ge, Y., et al., 2020. An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data. GIScience & Remote Sensing. 57(5): 593-610.

Journal Articles

2024

[72] Luna, L., Awange, J., Song, Y.*, Bui, L.K., Zerihun, A. and Kuhn, M., 2024. Surface water and geomorphological changes of the Blue Nile dynamics associated with the Grand Ethiopian Renaissance Dam (GERD): a multi-temporal analysis. GIScience & Remote Sensing, 61(1), p.2346383.

[71] Lin, G., Song, Y.*, Xu, D., Swapan, M.S.H., Wu, P., Hou, W. and Xiao, Z., 2024. Interpreting differences in access and accessibility to urban greenspace through geospatial analysis. International Journal of Applied Earth Observation and Geoinformation, 129, p.103823.

[70] Zhang, Z., Song, Y.*, Karunaratne, L. and Wu, P., 2024. Robust interaction detector: A case of road life expectancy analysis. Spatial Statistics, p.100814.

[69] Wang, X., Chen, G., Awange, J., Song, Y., Wu, Q., Li, X., February, E., Saiz, G., Kiese, R., Li, X. and Xiao, J., 2024. Establishing the global isoscape of leaf carbon in C3 plants through the integrations of remote sensing, carbon, geographic, and physiological information. Remote Sensing of Environment, 302, p.113987.

2023

[68] Song Y.*, 2023. Geographically Optimal Similarity. Mathematical Geosciences. 8:1-26.

[67] Song, Y.*, Kalacska, M., Gašparović, M., Yao, J. & Najibi, N., 2023. Advances in geocomputation and geospatial artificial intelligence (GeoAI) for mapping. International Journal of Applied Earth Observation and Geoinformation. p.103300.

[66] Ge, Y., Hu, S., Song, Y.#, Zheng, H., Liu, Y., Ye, X., Ma, T., Liu, M. & Zhou, C., 2023. Sustainable poverty reduction models for the coordinated development of the social economy and environment in China. Science Bulletin.

[65] Zhang. Z., Song, Y.*, Luo, P., & Wu, P., 2023. Geocomplexity explains spatial errors. International Journal of Geographical Information Science.

[64] Luo., P., Song, Y.*, Zhu, D., Cheng, J., & Meng, L., 2023. A generalized heterogeneity model for spatial interpolation. International Journal of Geographical Information Science. 37(3): 634-659.

[63] Zhang, Z., Song, Y.*, Luo, P., Wu, P., Liu, X., and Wang, M., 2023. Elucidation of spatial disparities of factors that affect air pollutant concentrations in industrial regions at a continental level. International Journal of Applied Earth Observation and Geoinformation. 117, 103221

[62] Tang, Y., Song, Y.*, Wang, Y., Lai, S., Alegana, V. A., Liu, X., 2023. National variation in patterns of bone disease treatment-seeking behaviors: A study of more than 50,000 hospital admissions between 2008 and 2021. International Journal of Applied Earth Observation and Geoinformation. 117, 103219

[612] Zhang, Z., Song, Y.*, Archer, N. and Wu, P., 2023. Spatial disparity of urban performance from a scaling perspective: a study of industrial features associated with economy, infrastructure, and innovation. GIScience & Remote Sensing. 60(1), p.2167567.

[60] Cheng, T., Zhao, Y., Song, Y.*, Ma, L., Zhang, Z., Luo, P., Gao, P., Zhang, M. and Zhao, C., 2023. Towards resilience effectiveness: Assessing its patterns and determinants to identify optimal geographic zones. Journal of Cleaner Production, p.139596.

[59] Li, Y., Luo, P., Song, Y., Zhang, L., Qu, Y. and Hou, Z., 2023. A locally explained heterogeneity model for examining wetland disparity. International Journal of Digital Earth, 16(2), pp.4533-4552.

[58] Ondari, O., Awange, J., Song, Y., & Kasedde, A., 2023. Understanding the Spatial–Temporal Patterns of Floating Islands Impacting the Major Dams of the White Nile. Remote Sensing. 15(9), 2304.

[57] Wang, P., Wu, P., Song, Y., Hampson, K. and Zhong, Y., 2023. A novel spatio-temporally stratified heterogeneity model for identifying factors influencing carbon emissions. Energy and Buildings. 112714.

[56] Wang, X., Chen, G., Wu, Q., Cao, L., Awange, J., Song, Y. and Wu, M., 2023. Spatio-temporal patterns and drivers of carbon-water coupling in frozen soil zones across the gradients of freezing over the Qinghai-Tibet Plateau. Journal of Hydrology, p.129674.

[55] Chen, C., Wang, L., Yang, G., Sun, W. and Song, Y., 2023. Mapping of Ecological Environment Based on Google Earth Engine Cloud Computing Platform and Landsat Long-Term Data: A Case Study of the Zhoushan Archipelago. Remote Sensing, 15(16), p.4072.

2022

[54] Song, Y.*, 2022. The second dimension of spatial association. International Journal of Applied Earth Observation and Geoinformation. 111, 102834.

[53] Ge, Y., Zhang, W., Wu, X., Ruktanonchai, C., Liu, H., Wang, J, Song, Y., Liu, M., Yan, W., Yang, J., Cleary, E., Qader, S., Atuhaire, F., Ruktanonchai, N., Tatem, A., & Lai S., 2022. Untangling the changing impact of non-pharmaceutical interventions and vaccination on European COVID-19 trajectories. Nature Communications. 13, 3106.

[52] Luo, P., Song, Y.*, Huang, X., Ma, H., et al., 2022. Identifying determinants of spatio-temporal disparities in soil moisture of the Northern Hemisphere using a geographically optimal zones-based heterogeneity model. ISPRS Journal of Photogrammetry and Remote Sensing. 185, 111-128.

[51] Zhang, Z., Song, Y.*, & Wu, P., 2022. Robust geographical detector. International Journal of Applied Earth Observation and Geoinformation. 109, 102782.

[50] Wu, P., & Song, Y*., 2022. Land use quantile regression modeling of fine particulate matter in Australia. Remote Sensing. 14(6), 1370

[49] Guo, J., Wang, J., Xu, C. & Song, Y., 2022. Modeling of spatial stratified heterogeneity. GIScience & Remote Sensing, 59(1), 1660-1677.

[48] Jiang, R., Wu, P., Song, Y., Wu, C., Wang, P., & Zhong, Y., 2022. Factors influencing the adoption of renewable energy in the US residential sector: An optimal parameters-based geographical detector approach. Renewable Energy

[47] Zhang, Q., Miao, C., Gou, J., Wu, J., Jiao, W., Song, Y., & Xu, D., 2022. Spatiotemporal characteristics of meteorological to hydrological drought propagation under natural conditions in China. Weather and Climate Extremes, 100505.

[46] Wu, P., Wang, P., Chi, H. L., Zhong, Y., & Song, Y., 2022. Exploring Factors Affecting Transport Infrastructure Performance: Data-Driven Versus Knowledge-Driven Approaches. IEEE Transactions on Intelligent Transportation Systems.

[45] Shen, Z., Ramirez-Lopez, …, Song, Y., Catambay, K., & Rossel, R. A. V., 2022. Deep transfer learning of global spectra for local soil carbon monitoring. ISPRS Journal of Photogrammetry and Remote Sensing. 188, 190-200.

[44] Ge, Y., Zhang, W. B., …, Song. Y., Ruktanonchai, N. W., Yang, W., Cleary, E., Feng, L., Li, Z., Yang., M., Liu., M., Tatem., A. J., Wang., J., & Lai, S., 2022. Impacts of worldwide individual non-pharmaceutical interventions on COVID-19 transmission across waves and space. International Journal of Applied Earth Observation and Geoinformation. 106, 102649.

2021

[43] Song, Y., Wu, P., Hampson, K., and Anumba, C., 2021. Assessing Block-level Sustainable Transport Infrastructure Development Using a Spatial Trade-Off Relation Model. International Journal of Applied Earth Observation and Geoinformation. 105, 102585.

[42] Song, Y., Shen, Z., Wu, P. & R. A. V. Rossel., 2021. Wavelet geographically weighted regression for spectroscopic modelling of soil properties. Scientific Reports. 11, 17503.

[41] Song, Y., & Wu, P., 2021. Earth Observation for Sustainable Infrastructure: A Review. Remote Sensing. 13(8), 1528.

[40] Song, Y., Wu, P., 2021. An interactive detector for spatial associations. International Journal of Geographical Information Science.

[39] Song, Y., Thatcher, D., Li, Q., McHugh, T., & Wu, P., 2021. Developing sustainable road infrastructure performance indicators using a model-driven fuzzy spatial multi-criteria decision making method. Renewable and Sustainable Energy Reviews. 138. 110538.

[38] Song, Y., Wu, P., Li, Q., Liu, Y., and Karunaratne, L., 2021. Hybrid Nonlinear and Machine Learning Methods for Analyzing Factors Influencing the Performance of Large-Scale Transport Infrastructure. IEEE Transactions on Intelligent Transportation Systems.

[37] Luo, P., Song, Y.* Wu, P., 2021. Spatial disparities in trade-offs: economic and environmental impacts of road infrastructure on continental level. GIScience & Remote Sensing.

[36] Song, Y., Chen, B., Ho, H. C., Kwan, M. P., Liu, D., Wang, F., … & Song, Y.*, 2021. Observed inequality in urban greenspace exposure in China. Environment International. 156, 106778.

[35] Liu, J., Chai, L., Dong, J., Zheng, D., Wigneron, J.P., Liu, S., Zhou, J., Xu, T., Yang, S., Song, Y., Qu, Y., and Lu, Z., 2021. Uncertainty Analysis of Eleven Multisource Soil 1 Moisture Products in the Third Pole Environment Based on the Three-Corned Hat Method. Remote Sensing of Environment. 255. 112225.

[34] Fan, X., Song, Y., Zhu, C., Balzter, H., and Bai Z., 2021. Estimating Ecological Responses to Climatic Variability on Reclaimed and Unmined Lands Using Enhanced Vegetation Index. Remote Sensing. 13(6), 1100.

[33] Wang, M., Zhou, T., Song, Y., Li, X., Ma, H., Hu, Y., Heianza, Y., and Qi, L., 2021. Joint exposure to various ambient air pollutants and incident heart failure: a prospective analysis in UK Biobank. European Heart Journal.

[32] Li X, Wang M, Song Y, Ma H, Zhou T, et al., 2021. Obesity and the relation between joint exposure to ambient air pollutants and incident type 2 diabetes: A cohort study in UK Biobank. PLOS Medicine. 18(8): e1003767.

[31] Tan, Y., Li, H.X., Cheng, J., Wang, J., Jiang, B., Song, Y., and Wang, X., 2021. Cost and Environmental Impact Estimation Methodology and Potential Impact Factors in Offshore Oil and Gas Platform Decommissioning: A Review. Environmental Impact Assessment Review. 87. 106536.

2020

[30] Song, Y., Wang, J.F., Ge, Y., et al., 2020. An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data. GIScience & Remote Sensing. 57(5): 593-610.

[29] Song, Y., Wu, P., Gilmore, D., et al., 2020. A Spatial Heterogeneity-Based Segmentation Model for Analyzing Road Deterioration Network Data in Multi-Scale Infrastructure Systems. IEEE Transactions on Intelligent Transportation Systems

[28] Jiang, R., Wu, C., Song, Y. and Wu, P., 2020. Estimating carbon emissions from road use, maintenance and rehabilitation through a hybrid life cycle assessment approach–a case study. Journal of Cleaner Production. p.123276.

[27] Yang, L., Xu, L., Peng, J., Song, Y., et al., 2020. Nonlocal Band-Weighted Iterative Spectral Mixture Model for Hyperspectral Imagery Denoising. IEEE Transactions on Geoscience and Remote Sensing.

[26] Ma, X., Hong, Y., and Song, Y., 2020. Super resolution land cover mapping of hyperspectral images using the deep image prior-based approach. International Journal of Remote Sensing. 41 (7)

2019

[25] Song, Y., Wang, X.Y., Wright, G., Thatcher, D., et al., 2019. Traffic Volume Prediction with Segment-Based Regression Kriging and its Implementation in Assessing the Impact of Heavy Vehicles. IEEE Transactions on Intelligent Transportation Systems. (20)1: 232 – 243.

[24] Wu, P., Song, Y., Zhu, J. and Chang, R., 2019. Analysing the influence factors of the carbon emissions from China’s building and construction industry from 2000 to 2015. Journal of Cleaner Production.

[23] Ma, X., Hong, Y., Song, Y. and Chen, Y., 2019. A Super-Resolution Convolutional-Neural-Network-Based Approach for Subpixel Mapping of Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[22] Liu, J., Chai, L., Lu, Z., Liu, S., Qu, Y., Geng, D., Song, Y., Guan, Y., Guo, Z., Wang, J. and Zhu, Z., 2019. Evaluation of SMAP, SMOS-IC, FY3B, JAXA, and LPRM Soil Moisture Products over the Qinghai-Tibet Plateau and Its Surrounding Areas. Remote Sensing, 11(7), p.792.

2018

[21] Song, Y., Tan, Y., Song, Y.M., et al., 2018. Spatial and temporal variations of spatial population accessibility to public hospitals: A case study of rural-urban comparison. GIScience & Remote Sensing

[20] Song, Y., Wright, G., Wu, P., Thatcher, D., et al., 2018. Segment-Based Spatial Analysis for Assessing Road Infrastructure Performance Using Monitoring Observations and Remote Sensing Data. Remote Sensing. 10(11): 1696.

[19] Song, Y., Long, Y., Wu, P., et al., 2018. Are all cities with similar urban form or not? Redefining cities with ubiquitous points of interest and evaluating them with indicators at city and block levels in China. International Journal of Geographical Information Science. 32(12): 2447-2476.

[18] Song, Y. and Fu, L.Y., 2018. Do Charitable Foundations Spend Money Where People Need It Most? A Spatial Analysis of China. ISPRS International Journal of Geo-Information. 7(3): 100.

[17] Tan, Y., Song, Y., Zhu, J., et al., 2018. Optimizing lift operations and vessel transport schedules for disassembly of multiple offshore platforms using BIM and GIS. Automation in Construction. 94, 328-339.

[16] Liu, X., Song, Y., Yi. W., et al., 2018. Comparing the random forest with the generalized additive model to evaluate the impacts of outdoor ambient environ-mental factors on scaffolding construction productivity. Journal of Construction Engineering and Management, 144(6),04018037.

[15] Wu, P., Song, Y., Hu, X. et al., 2018. A Preliminary Investigation of the Transition from Green Building to Green Community: Insights from LEED ND. Sustainability, 10(6), 1802.

[14] Wu, P., Song, Y., Wang, J., et al., 2018. Regional Variations of Credits Obtained by LEED 2009 Certified Green Buildings—A Country Level Analysis. Sustainability. 10(1): 20.

[13] Cheng, J.C.P., Tan, Y., Song, Y., et al., 2018. Developing an evacuation evaluation model for offshore oil and gas platforms using BIM and agent-based model. Automation in Construction. (89): 214-224.

[12] Mirarchi, C., Pavan, A., De Marco, F., Wang, X. and Song, Y., 2018. Supporting Facility Management Processes through End-Users’ Integration and Coordinated BIM-GIS Technologies. ISPRS International Journal of Geo-Information.7(5),191.

2017

[11] Song, Y., Wang, X.Y., Tan, Y., et al., 2017. Trends and Opportunities of BIM-GIS Integration in the Architecture, Engineering and Construction Industry: A Review from a Spatio-Temporal Statistical Perspective. ISPRS International Journal of Geo-Information. 6(12): p.397.

[10] Wu, P., Song, Y., Shou W.C, et al., 2017. A comprehensive analysis of the credits obtained by LEED 2009 certified green buildings. Renewable and Sustainable Energy Reviews. 68, 370-379.

[9] Tan, Y., Song, Y., Liu, X., et al., 2017. A BIM-based framework for lift planning in topsides disassembly of offshore oil and gas platforms. Automation in Construction. 79, 19-30.

[8] Ge, Y., Song, Y., Wang, J.F., et al., 2017. Geographically Weighted Regression-based determinants of malaria incidences in northern China, Transactions in GIS. 21(5): 934-953.

[7] Ge, Y., Wei, Y., Song, Y., et al., 2017. A WTLS-based rational function model for orthorectification of remote-sensing imagery. International Journal of Remote Sensing. 38(23): 7281-7301.

2016

[6] Song, Y., Ge, Y., Wang, J.F., et al., 2016. Spatial distribution estimation of malaria in northern China and its scenarios in 2020, 2030, 2040 and 2050, Malaria Journal, 15(1), 1.

[5] Wu, P., Mao, C., Wang, J., Song, Y., et al., 2017. A decade review of the credits obtained by LEED v2. 2 certified green building projects. Building and Environment. 102, 167-178.

[4] Yang, H. L., Peng, J. H., Wang, B. C., Song, Y., et al., 2016. Ground deformation monitoring of Zhengzhou city from 2012 to 2013 using an improved IPTA. Natural Hazards. 80(1), 1-17.

2015

[3] Song, Y., Yang H.L., Peng J.H., et al., 2015. Estimating PM2.5 Concentrations in Xi’an City Using a Generalized Additive Model with Multi-Source Monitoring Data. PLoS ONE. 10(11): e0142149.

[2] Wu, T.J., Ge, Y., Wang, J.H., Stein, A., Song, Y., et al., 2015. A WTLS-Based Method for Remote Sensing Imagery Registration. IEEE Transactions on Geoscience and Remote Sensing. 53(1): 102-116.

2014

[1] Wang, J.H., Ge, Y., Song, Y., et al., 2014. A Geostatistical Approach to Upscale Soil Moisture with Unequal Precision Observations. IEEE Geoscience and Remote Sensing Letters. 11(12): 2125-2129.