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

Project Member(s): Huete, A.

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:

Cao, Y, Xie, Z, Woodgate, W, Ma, X, Cleverly, J, Pang, Y, Qin, F & Huete, A 2022, 'Ecohydrological decoupling of water storage and vegetation attributed to China’s large-scale ecological restoration programs', Journal of Hydrology, vol. 615, pp. 128651-128651.
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Dikshit, A, Pradhan, B, Huete, A & Park, H-J 2022, 'Spatial based drought assessment: Where are we heading? A review on the current status and future', Science of The Total Environment, vol. 844, pp. 157239-157239.
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Gao, S, Huete, A, Kobayashi, H, Doody, TM, Liu, W, Wang, Y, Zhang, Y & Lu, X 2022, 'Simulation of solar-induced chlorophyll fluorescence in a heterogeneous forest using 3-D radiative transfer modelling and airborne LiDAR', ISPRS Journal of Photogrammetry and Remote Sensing, vol. 191, pp. 1-17.
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He, J, Feng, P, Wang, B, Zhuang, W, Zhang, Y, Liu, DL, Cleverly, J, Huete, A & Yu, Q 2022, 'Centennial Annual Rainfall Pattern Changes Show an Increasing Trend with Higher Variation over Northern Australia', Journal of Hydrometeorology, vol. 23, no. 8, pp. 1333-1349.
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Leng, S, Huete, A, Cleverly, J, Gao, S, Yu, Q, Meng, X, Qi, J, Zhang, R & Wang, Q 2022, 'Assessing the Impact of Extreme Droughts on Dryland Vegetation by Multi-Satellite Solar-Induced Chlorophyll Fluorescence', Remote Sensing, vol. 14, no. 7, pp. 1581-1581.
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Leng, S, Huete, A, Cleverly, J, Yu, Q, Zhang, R & Wang, Q 2022, 'Spatiotemporal Variations of Dryland Vegetation Phenology Revealed by Satellite-Observed Fluorescence and Greenness across the North Australian Tropical Transect', Remote Sensing, vol. 14, no. 13, pp. 2985-2985.
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Rangel Pinagé, E, M. Bell, D, Longo, M, Gao, S, Keller, M, Silva, CA, Ometto, JP, Köhler, P, Frankenberg, C & Huete, A 2022, 'Forest structure and solar-induced fluorescence across intact and degraded forests in the Amazon', Remote Sensing of Environment, vol. 274, pp. 112998-112998.
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Wang, C, Li, J, Liu, Q, Huete, A, Li, L, Dong, Y & Zhao, J 2022, 'Eastern‐Pacific and Central‐Pacific Types of ENSO Elicit Diverse Responses of Vegetation in the West Pacific Region', Geophysical Research Letters, vol. 49, no. 3.
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Xie, Q, Cleverly, J, Moore, CE, Ding, Y, Hall, CC, Ma, X, Brown, LA, Wang, C, Beringer, J, Prober, SM, Macfarlane, C, Meyer, WS, Yin, G & Huete, A 2022, 'Land surface phenology retrievals for arid and semi-arid ecosystems', ISPRS Journal of Photogrammetry and Remote Sensing, vol. 185, pp. 129-145.
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Zeng, Y, Hao, D, Huete, A, Dechant, B, Berry, J, Chen, JM, Joiner, J, Frankenberg, C, Bond-Lamberty, B, Ryu, Y, Xiao, J, Asrar, GR & Chen, M 2022, 'Optical vegetation indices for monitoring terrestrial ecosystems globally', Nature Reviews Earth & Environment, vol. 3, no. 7, pp. 477-493.
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Douna, V, Barraza, V, Grings, F, Huete, A, Restrepo-Coupe, N & Beringer, J 2021, 'Towards a remote sensing data based evapotranspiration estimation in Northern Australia using a simple random forest approach', Journal of Arid Environments, vol. 191, pp. 104513-104513.
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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, pp. 112133-112133.
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Huete, A, Nguyen Tran, N, Xie, Q & Miura, T 1970, 'Australian grassland functional phenology discrimination with Himawari-8 geostationary data', 43rd COSPAR Scientific Assembly, online, pp. 110-110.

Ma, X, Tran, NN, Leng, S, Xie, Q & Huete, A 1970, 'Monitoring Savanna Vegetation Phenology Using Advanced Himawari Imager', 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IEEE, Brussels, Belgium, pp. 1597-1599.
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Harrison, BA, Gibson, R, Bastin, G, Thackway, R, Huete, A, Donald, G, Lyons, M, Sparks, T, Byrne, G, Lewis, MM & Xie, Q 2021, 'Earth Observation: Data, Processing and Applications. Volume 3A: Applications—Terrestrial Vegetation', Australia and New Zealand CRC for Spatial Information, Australia.

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, pp. 111855-111855.
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Ma, X, Huete, A, Tran, N, 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, pp. 1339-1339.
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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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Xie, Q, Pradhan, B, Dikshit, A, Tran, NN, Liu, Y, Abdollahi, A & Huete, AR 1970, 'Forecasting Grass Pollen with Satellite Sensor Time-series, Meteorology data, and Machine Learning Tools', AGU Fall Meeting 2020, online.

Bernardes, S, Madden, M, Astuti, I, Bernardes, S, Chuvieco, E, Cotten, D, Dennison, PE, Dronova, I, Gitas, I, Gong, P, Franch-Gras, B, Hancher, M, Hirano, A, Howard, A, Hu, X, Huete, A, Jordan, T, Justice, C, Lawrence, RL, Lu, L, Madden, M, Mishra, DR, Mishra, S, Miura, T, Mountrakis, G, Pal, M, Remillard, C, Roberts, DA, Roger, J-C, Singh, KK, Somers, B, Stavrakoudis, D, Sun, W, Sun, G, Thau, D, Tits, L, Usery, EL, Vermote, E, Wang, C, Wang, M, Weng, Q, Xu, W, Yao, T, Yoshioka, H, Zhang, L, Zhang, Q & Zhang, Z 2019, 'Image Processing and Analysis Methods' in Manual of Remote Sensing, 4th Edition, American Society for Photogrammetry and Remote Sensing, pp. 631-868.
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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, pp. 2270-2270.
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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, pp. 111383-111383.
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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, pp. 2148-2148.
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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 1970, 'Forecasting Pollen Aerobiology with Modis EVI, Land Cover, and Phenology Using Machine Learning Tools', IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - 2019 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), Ecological impacts of climate change and ecological adaptation, Terrestrial biodiversity

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.