HAO TANG

HAO TANG

HAO TANG

Assistant Professor

Webpage: https://ap5.fas.nus.edu.sg/fass/hao.tang/

hao.tang@nus.edu.sg

Research Areas

Ecosystem; forest ecology; satellite observation; macroecology

Research Interests

My research is centered at remote sensing of the environment, with a focus on the use of satellite for mapping and monitoring terrestrial ecosystem dynamics under the changing climate and land use. Most of my work, linking remote sensing data, mathematic model and ground survey, aims to characterize spatial-temporal changes of 3D vegetation structure and its impact on nature and human society. The ever increasing monitoring and analyzing capacity helps bridge global sustainable development goals and local initiatives and requirements, and clear many uncertainties in design, planning and implementation of current climate-change and conservation projects.

Selected Publications

  • Duncanson, L., Kellner, J.R., Armston, J., Dubayah, R., Minor, D.M., Hancock, S., Healey, S.P., Patterson, P.L., Saarela, S., Marselis, S., Silva, C.E., Bruening, J., Goetz, S.J., Tang, H., Hofton, M., Blair, B., Luthcke, S., Fatoyinbo, L., …., 2022. Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment.. 270, 112845.
  • Liu, X., Su, Y., Hu, T., Yang, Q., Liu, B., Deng, Y., Tang, H., Tang, Z., Fang, J., Guo, Q., 2022. Neural network guided interpolation for mapping canopy height of China’s forests by integrating GEDI and ICESat-2 data. Remote Sensing of Environment.. 269, 112844.
  • Bruening, J.M., Fischer, R., Bohn, F.J., Armston, J., Armstrong, A.H., Knapp, N., Tang, H., Huth, A., Dubayah, R., 2021. Challenges to aboveground biomass prediction from waveform lidar. Environ. Res. Lett. 16, 125013.
  • Qin, Y., Xiao, X., Wigneron, J.-P., Ciais, P., Canadell, J. G., Brandt, M., Li, X., Fan, L., Wu, X., Tang, H., Dubayah, R., Doughty, R., Chang, Q., Crowell, S., Zheng, B., Neal, K., Celis, J. A., & Moore, B. (2021). Annual Maps of Forests in Australia from Analyses of Microwave and Optical Images with FAO Forest Definition. Journal of Remote Sensing, 2021, 9784657, 11
  • Fatoyinbo, T., Armston, J., Simard, M., Saatchi, S., Denbina, M., Lavalle, M., Hofton, M., Tang, H., Marselis, S., Pinto, N., Hancock, S., Hawkins, B., Duncanson, L., Blair, B., Hansen, C., Lou, Y., Dubayah, R., Hensley, S., Silva, C., Poulsen, J.R., Labrière, N., Barbier, N., Jeffery, K., Kenfack, D., Herve, M., Bissiengou, P., Alonso, A., Moussavou, G., White, L.T.J., Lewis, S., Hibbard, K., 2021. The NASA AfriSAR campaign: Airborne SAR and lidar measurements of tropical forest structure and biomass in support of current and future space missions. Remote Sensing of Environment. 264, 112533.
  • Chen, X., Ciais, P., Maignan, F., Zhang, Y., Bastos, A., Liu, L., Bacour, C., Fan, L., Gentine, P., Goll, D., Green, J., Kim, H., Li, L., Liu, Y., Peng, S., Tang, H., Viovy, N., Wigneron, J., Wu, J., Yuan, W., Zhang, H., 2021. Vapor pressure deficits and sunlight explain seasonality of leaf phenology and photosynthesis across Amazonian evergreen broadleaved forest. Global Biogeochem. Cycles 35, e2020GB006893.
  • Lamb, R.L., Hurtt, G., Boudreau, T.J., Campbell, E., Sepúlveda Carlo, E., Chu, H.-H., de Mooy, J., Dubayah, R.O., Gonsalves, D., Guy, M., Hultman, N.E., Lehman, S., Leon, B., Lister, A., Lynch, C., Ma, L., Martin, C.R., Robbins, N.P., Rudee, A., Silva, C.E., Skoglund, C., Tang, H., 2021. Context and future directions for integrating forest carbon into sub-national climate mitigation planning in the RGGI region of the U.S. Environmental Research Letters. 16, 63001.
  • Ma, L., Hurtt, G., Tang, H., Lamb, R., Campbell, E., Dubayah, R., Guy, M., Huang, W., Lister, A., Lu, J., O’Neil-Dunne, J., Rudee, A., Shen, Q., & Silva, C. (2021). High-resolution forest carbon modelling for climate mitigation planning over the RGGI region, USA. Environmental Research Letters, 16(4), 45014.
  • Tang H, Ma L, Lister A, O’Neill-Dunne J, Lu J, Lamb R L, Dubayah R and Hurtt G 2021 High-resolution forest carbon mapping for climate mitigation baselines over the RGGI region, USA. Environmental Research Letters. 16 35011.
  • Potapov P, Li X, Hernandez-Serna A, Tyukavina A, Hansen M C, Kommareddy A, Pickens A, Turubanova S, Tang H, Silva C E, Armston J, Dubayah R, Blair J B and Hofton M 2021 Mapping global forest canopy height through integration of GEDI and Landsat data. Remote Sensing of Environment. 112165.