Skip to main content

Terrestrial Ecosystem Research Network New South Wales (TERN NSW)

Project Member(s): Huete, A.

Funding or Partner Organisation: Department of Industry Skills and Regional Development (NSW RESEARCH ATTRACTION AND ACCELERATION PROGRAM)

Start year: 2016

Summary: The TERN NSW team will work together on developing a ‘NSW Ecosystem Change’ report (eBook style) which will focus on how Government (and Industry) can use the data and infrastructure made available through TERN to understand “Environmental Change” and potentially other grand challenges. It is important to note that this report is not intended to be a replacement for the “State of the Environment” reporting, rather a demonstration of how TERN’s approach to research infrastructure could lead to new innovations in this process, from our unique perspective.

Publications:

Tarin Terrazas, T, Nolan, RH, Medlyn, BE, Cleverly, J & Eamus, D 2020, 'Water‐use efficiency in a semi‐arid woodland with high rainfall variability', Global Change Biology, vol. 26, no. 2, pp. 496-508.
View/Download from: Publisher's site

Barraza, V, Alfredo Huete, Dara Entekhabi, Esteban Roitberg, Francisco Grings, María Gassmann, Mariano Franco, Natalia Restrepo-Coupe & Vanesa Douna 2019, 'Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia', Agricultural and forest meteorology., vol. 268, pp. 341-353.
View/Download from: Publisher's site

Watson, CJ, Restrepo-Coupe, N & Huete, AR 2019, 'Multi-scale phenology of temperate grasslands: Improving monitoring and management with near-surface phenocams', Frontiers in Environmental Science, vol. 7, no. FEB.
View/Download from: Publisher's site

Lin, S, Li, J, Liu, Q, Huete, A & Li, L 2018, 'Effects of Forest Canopy Vertical Stratification on the Estimation of Gross Primary Production by Remote Sensing', REMOTE SENSING, vol. 10, no. 9.
View/Download from: Publisher's site

Teluguntla, P, Thenkabail, PS, Oliphant, A, Xiong, J, Gumma, MK, Congalton, RG, Yadav, K & Huete, A 2018, 'A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform', ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, vol. 144, pp. 325-340.
View/Download from: Publisher's site

Li, L, Wang, Y-P, Beringer, J, Shi, H, Cleverly, J, Cheng, L, Eamus, D, Huete, A, Hutley, L, Lu, X, Piao, S, Zhang, L, Zhang, Y & Yu, Q 2017, 'Responses of LAI to rainfall explain contrasting sensitivities to carbon uptake between forest and non-forest ecosystems in Australia', Science China Life Sciences, vol. 7, no. 1.
View/Download from: Publisher's site

Keywords: TERN, Remote Sensing, Phenology, NSW, GDE, Environment

FOR Codes: Environmental Monitoring, Natural Resource Management, Ecosystem Assessment and Management at Regional or Larger Scales, Ecosystem Assessment and Management of Forest and Woodlands Environments