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Australian landscape phenology and vegetation dynamics for climate resilience, ecosystem services, and forecasting

Project Member(s): Huete, A., Xie, Q.

Funding or Partner Organisation: Department of Innovation, Industry, Science & Research (Terrestrial Ecosystem Research Network (TERN))
Department of Innovation, Industry, Science & Research (Terrestrial Ecosystem Research Network (TERN))

Start year: 2019

Publications:

Peng, D, Wang, Y, Xian, G, Huete, AR, Huang, W, Shen, M, Wang, F, Yu, L, Liu, L, Xie, Q, Liu, L & Zhang, X 2021, 'Investigation of land surface phenology detections in shrublands using multiple scale satellite data', Remote Sensing of Environment, vol. 252.
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Ma, X, Huete, A, Moore, CE, Cleverly, J, Hutley, LB, Beringer, J, Leng, S, Xie, Z, Yu, Q & Eamus, D 2020, 'Spatiotemporal partitioning of savanna plant functional type productivity along NATT', REMOTE SENSING OF ENVIRONMENT, vol. 246.
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Ma, X, Huete, A, Tran, NN, Bi, J, Gao, S & Zeng, Y 2020, 'Sun-angle effects on remote-sensing phenology observed and modelled using himawari-8', Remote Sensing, vol. 12, no. 8.
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Zeng, Y, Li, J, Liu, Q, Huete, AR, Xu, B, Yin, G, Fan, W, Ouyang, Y, Yan, K, Hao, D & Chen, M 2020, 'A Radiative Transfer Model for Patchy Landscapes Based on Stochastic Radiative Transfer Theory', IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, vol. 58, no. 4, pp. 2571-2589.
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Peng, D, Zhang, H, Liu, L, Huang, W, Huete, AR, Zhang, X, Wang, F, Yu, L, Xie, Q, Wang, C, Luo, S, Li, C & Zhang, B 2019, 'Estimating the aboveground biomass for planted forests based on stand age and environmental variables', Remote Sensing, vol. 11, no. 19.
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Xiao, J, Chevallier, F, Gomez, C, Guanter, L, Hicke, JA, Huete, AR, Ichii, K, Ni, W, Pang, Y, Rahman, AF, Sun, G, Yuan, W, Zhang, L & Zhang, X 2019, 'Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years', Remote Sensing of Environment, vol. 233.
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Xie, M, Wang, Z, Huete, A, Brown, LA, Wang, H, Xie, Q, Xu, X & Ding, Y 2019, 'Estimating peanut leaf chlorophyll content with dorsiventral leaf adjusted indices: Minimizing the impact of spectral differences between adaxial and abaxial leaf surfaces', Remote Sensing, vol. 11, no. 18.
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Xie, Q, Dash, J, Huete, A, Jiang, A, Yin, G, Ding, Y, Peng, D, Hall, CC, Brown, L, Shi, Y, Ye, H, Dong, Y & Huang, W 2019, 'Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery', International Journal of Applied Earth Observation and Geoinformation, vol. 80, pp. 187-195.
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Huete, A, Tran, NN, Nguyen, H, Xie, Q & Katelaris, C 2019, 'Forecasting Pollen Aerobiology with Modis EVI, Land Cover, and Phenology Using Machine Learning Tools', IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, IEEE International Geoscience and Remote Sensing Symposium, IEEE, Yokohama, Japan, pp. 5429-5432.
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Xie, Q, Huang, W, Zhang, B, Chen, P, Song, X, Pascucci, S, Pignatti, S, Laneve, G & Dong, Y 2016, 'Estimating Winter Wheat Leaf Area Index From Ground and Hyperspectral Observations Using Vegetation Indices', IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, vol. 9, no. 2, pp. 771-780.
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FOR Codes: Photogrammetry and Remote Sensing, Ecological Impacts of Climate Change, Flora, Fauna and Biodiversity at Regional or Larger Scales, Climate Variability (excl. Social Impacts)