Dr Tingbao Xu

Ph.D. in Resource Management and Environmental Science (ANU) M.Sc. in Cartography and Remote Sensing (Beijing Uni), B.Sc. in Remote Sensing Geology (Zhejiang Uni)
Senior Manager Research

I have been actively engaged in research/development in spatio-temporal and bioclimatic modelling and relevant fields since the early 1980s, and have gained extensive experience in climate change and climate data analysis, environmental and natural resources investigation, assessment and mapping, agricultural crop yield and production forecasting, and other relevant applications.

I also have a solid background and productive application experience with GIS, Remote Sensing and computing.

Currently I am involved in the project “Terrestrial Ecosystem Research Network” and various climate change research and other projects in the School. I provide central support to two of the School's main themes - Global Change and Landscapes, Water and Biodiversity - and key contributions to the School’s undergraduate and graduate programs, as well as to international cooperation activities across the ANU.

  • Senior Manager (Research) 2011 – present (Senior Modeller 2005 – 2010), Fenner School of Environment & Society, ANU
  • Research Scientist 1999-2005 and Manager for spatial data management and modelling 2001-2005, AGRECON, University of Canberra.
  • Senior GIS officer 1998-1999, ERIN, Department of Environment and Heritage of Australia.
  • PhD Student 1994-1997 and Research Officer 1995-1997, CRES, ANU.
  • Visiting Fellow 1992-1993, CRES, ANU.
  • Assistant Professor 1985-1991, Institute of Remote Sensing and GIS, Beijing University.

Yu, Y, Xu, T.  and Wang, T. (2020). Outmigration Drives Cropland Decline and Woodland Increase in Rural Regions of Southwest China. Land, 2020,9,443,p1-23; doi:10.3390/land9110443.

Terry, W and Xu, T. (2020). Simulating the effects of climate change on the distribution of the threatened Brush-tailed Phascogale Phascogale tapoatafa tapoatafa in eastern Australia. Research Report, Vol 137 (5) 2020. p128-139.

Guo, B., Zhang, J.,Meng, X., Xu, T. and Song Y. (2020). Long-term spatio-temporal precipitation variations in China with precipitation surface interpolated by ANUSPLIN. Scientific Reports 10(1):81, DOI: 10.1038/s41598-019-57078-3.

White, I., Xu, T., Zeng, J., Yu, J., Ma, X., Yang, J., Huo, Z. and Chen, H. (2020). Changing climate and implications for water use in the Hetao Basin, Yellow River, China. Proceedings of the International Association of Hydrological Sciences 383:51-59, DOI: 10.5194/piahs-383-51-2020.

Li, L., Chen, Y., Xu, T., Meng, L., Huang, C. and Shi, K. (2020). Spatial Attraction Models Coupled with Elman Neural Networks for Enhancing Sub-Pixel Urban Inundation Mapping. Remote Sensing. 2020, 12, 2068; doi:10.3390/rs12132068.

Heath, L.C., Tiwari, P. Sadhukhan, B., Tiwari, S., Chapagain, P., Xu, T., Li, G., Ailikun, Joshi, B. and Yan J. (2020). Building climate change resilience by using a versatile toolkit for local governments and communities in rural Himalaya. Environmental Research. 188 (2020) 109636. https://doi.org/10.1016/j.envres.2020.109636.

Li, L., Chen, Y., Xu, T., Shi, K., Liu, R., Huang, C.,  Lu, B. and Meng, L. (2019). Remote Sensing of Wetland Flooding at a Sub-Pixel Scale Based on Random Forests and Spatial Attraction Models. Remote Sens. 2019, 11, 1231; doi:10.3390/rs11101231.

Xia, C., Li,Y., Xu, T., Chen, Q., Ye, Y., Shi, Z., Liu, J., Ding, Q. and Li, X. (2019). Analyzing spatial patterns of urban carbon metabolism and its response to change of urban size: A case of the Yangtze River Delta, China. Ecological Indicators 104 (2019) 615-625. https://doi.org/10.1016/j.ecolind.2019.05.031

Chen, Y., Xu, T., Shui, J., Liu, R., Wahid, S., Shi, K., Yang, H., Guo, L., Cheng, Z., (2019). Characterising spatiotemporal variability of South Asia’s climate extremes in past decades. Climate Research. https://doi.org/10.3354/cr01554.

Li, L., Chen, Y., Xu, T., Shi, K., Huang, C., Liu, R., Lu, B. and Meng, L. (2019). Enhanced Super-Resolution Mapping of Urban Floods Based on the Fusion of Support Vector Machine and General Regression Neural Network, IEEE Geoscience and Remote Sensing Letters. 10.1109/LGRS.2019.2894350.

  • Guo, B., Zhang, J., Xu, T., Croke, B., Jakeman, A, Song, Y., Yang, Q., Lei, X. and Weihong Liao, W. (2018). Applicability Assessment and Uncertainty Analysis of Multi-Precipitation Datasets for the Simulation of Hydrologic Models. Water 2018, 10(11), 1611; doi:10.3390/w10111611.

    Xia, C., Lia, Y., Xu, T., Ye, Y., Shi, Z., Peng, Y. and Liu, J. (2018). Quantifying the spatial patterns of urban carbon metabolism: A case study of Hangzhou, China. Ecological Indicators 95 (2018) 474–484. https://doi.org/10.1016/j.ecolind.2018.07.053.

  • Heath, L., Tiwari, P., Sadhukhan, B., Tiwari, S., Joshi, B., Ailikun, Chapagain, PS., Xu, T., Li, G. and Yan, J. (2018). Using a participatory-based toolkit to build resilience and adaptive capacity to climate change impacts in rural India: A new paradigm shift for rural communities in the Himalaya. APN Science Bulletin, 8(1). doi:10.30852/sb.2018.292.

  • Liu, R., Chen, Y., Wu, J., Xu, T., Gao, L., Zhao, X. (2018). Mapping spatial accessibility of public transportation network in an urban area – A case study of Shanghai Hongqiao Transportation Hub. Transportation Research Part D: Transport and Environment, 59: 478-495, DOI:10.1016/j.trd.2018.01.003

    1. B., Zhang, J. and Xu, T. (2018). Comparison of two statistical climate downscaling models: a case study in the Beijing region, China. International Journal of Water 12(1):22. DOI:10.1504/IJW.2018.10011177
  • Zhong, A., Wang, A., Li, J., Xu, T., Meng, D., Ke, Y., Li, X. & Chen, Y. (2018). Downscaling of passive microwave soil moisture retrievals based on spectral analysis, International Journal of Remote Sensing, 39:1, 50-67, DOI: 10.1080/01431161.2017.1378456

  • Li, L., Xu, T., Chen, Y., Liu, R., Shi, K. and Huang, C. (2017). Fuzzy Classification of High Resolution Remote Sensing Scenes Using Visual Attention Features. Computational Intelligence and Neuroscience, Volume 2017, Article ID 9858531, 9 pages, https://doi.org/10.1155/2017/9858531.

  • Ren Xuan, Zheng Jiang-hua, Mu Chen, Yan Kai, Xu Ting-bao. (2017) Evaluating reliability of grassland net primary productivity estimates using different meteorological interpolation methods. Pratacultural Science,2017,34(3): 439-448

  • Zhang, F., Chen, Y., Yang, H., Xu, T., Cheng, Z. and Liang, J. (2016). Assessment of Reclamation Treatments of Abandoned Farmland in an Arid Region of China. Sustainability 2016, 8(11), 1183; doi: 10.3390/su8111183.

  • Shi, K., Chen, Y., Yu, B., Xu, T., Yang, C., Li, L., Huang, C., Chen, Z., Liu, R. and Wu, J. (2016). Detecting spatiotemporal dynamics of global electric power consumption using DMSP-OLS nighttime stable light data. Applied Energy.184 (2016) 450–463.

  • Liu, R., Chen, Y., Wu, J., Gao, L., Barrett, D., Xu, T., Li, X., Li, L., Shi, K., Huang, C. and Yu, J. (2016). Integrating Entropy-Based Na¨ive Bayes and GIS for Spatial Evaluation of Flood Hazard. Risk Analysis, DOI: 10.1111/risa.12698.

  • Yang, H., Chen, Y., Zhang, F., Xu, T. and Cai, X. (2016). Prediction of Salt Transport on Different Soil Textures under Mulched Drip Irrigation in Arid Zone. CSIRO PUBLISHING, Soil Research. http://dx.doi.org/10.1071/SR15169.

  • Shi, K., Chen, Y., Yu, B., Xu, T., Li, L., Huang, C., Liu, R., Chen, Z. and Wu, J. (2016). Urban expansion and agricultural land loss in China: a multiscale perspective. Sustainability 2016, 8(8), 790; doi:10.3390/su8080790.

  • Li, L., Xu, T., Chen, Y. (2016). "Improved Urban Flooding Mapping from Remote Sensing Images Using Generalized Regression Neural Network-Based Super-Resolution Algorithm". Remote Sens. 2016, 8(8), 625; doi:10.3390/rs8080625.

  • Li, L., Chen, Y., Xu, T., Huang, C., Liu, R. and Shi, K. (2016). Integration of Bayesian regulation back-propagation neural network and particle swarm optimization for enhancing sub-pixel mapping of flood inundation in river basins. Remote Sensing Letters. Vol 7 (7) 631-640.

  • Shi, K., Chen, Y., Yu, B., Xu, T., Chen, Z., Liu, R., Li, L. and Wu, J. 2016. Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel dataanalysis. Applied Energy. 168 (2016) 523–533.

  • Liu, R., Chen, Y., Wu, J., Gao, L., Barrett, D., Xu, T., Li, L., Shi, K., Huang, C. and Yu, J. (2015). Assessing spatial likelihood of flooding hazard using naïve Bayes and GIS: a case study in Bowen Basin, Australia, Stochastic Environmental Research and Risk Assessment, DOI 10.1007/s00477-015-1198-y.

  • Zhu, L., Gong, H., Dai, Z., Xu, T. and Su, X. (2015). An integrated assessment of the impact of precipitation and groundwater on vegetation growth in arid and semiarid areas. Environment Earth Science. (2015) 74:5009–5021.

  • Li, L., Chen, Y., Xu, T., Liu, R., Shi, K. and Huang, C. (2015). Super-resolution mapping of wetland inundation from remote sensing imagery based on integration of back-propagation neural network and genetic algorithm. Remote Sensing of Environment. 164 (2015) 142–154. doi: 10.1016/j.rse.2015.04.009.

  • Xu, T, Croke, B. and Hutchinson, M.F. (2014). Identification of spatial and temporal patterns of Australian daily rainfall under a changing climate. Proceedings 2014 7th International Congress on Environmental Modelling and Software, San Diego, CA, USA, Daniel P. Ames, Nigel W.T. Quinn and Andrea E. Rizzoli (Eds.).

  • Phillips, R.D., Peakall, R., Hutchinson, M.F., Linde, C.C., Xu, T., Dixon, K.W. and Hoppe, S.D. (2014). Specialized ecological interactions and plant species rarity: The role of pollinators and mycorrhizal fungi across multiple spatial scales. Biological Conservation, 169:285-295.

  • Hutchinson, M.F and Xu, T. (2013) ANUSPLIN VERSION 4.4 User Guide, Fenner Schools of Environment and Society, The Australian national University.

  • Xu, T. and Hutchinson, M.F. (2013). New developments and applications in the ANUCLIM spatial climatic and bioclimatic modelling package. Environmental Modelling and Software, 40: 267-279.

  • Phillips, R.D., Xu, T., Hutchinson, M.F., Dixon, K.W. and Peakall, R. (2013). Convergent specialization - the sharing of pollinators by sympatric genera of sexually deceptive orchids. Journal of Ecology, 2013, 101, 826-835.

  • Xu, T. and Hutchinson, M.F. (2012). New developments in the ANUCLIM bioclimatic modelling package. Proceedings 2012 International Congress on Environmental Modelling and Software Managing Resources of a Limited Planet, Sixth Biennial Meeting, Leipzig, Germany R. Seppelt, A.A. Voinov, S. Lange, D. Bankamp (Eds.)

  • Xu, T. and Hutchinson, M.F. (2011) ANUCLIM VERSION 6.1 User’s Guide, Fenner Schools of Environment and Society, The Australian national University.

  • Hutchinson, M.F., Xu, T. and Stein, J. (2011) Recent Progress in the ANUDEM Elevation Gridding Procedure. Geomorphometry, 2011, Redlands, California, USA.

  • Xu, T., Moore, I.D. and Gallant, J. (1993) Fractals, Fractal Dimensions and Landscapes -- A Review. Geomorphology, 8/4:245-262.