37 citations as recorded by crossref.

1. Seasonal Dynamics of Canopy Properties and Ecosystem Fluxes in a Temperate Evergreen Angiosperm Forest A. Renchon et al. 10.2139/ssrn.3987846
2. Carbon, water and energy fluxes in agricultural systems of Australia and New Zealand J. Cleverly et al. 10.1016/j.agrformet.2020.107934
3. Actual Evapotranspiration Estimates in Arid Cold Regions Using Machine Learning Algorithms with In Situ and Remote Sensing Data J. Mosre & F. Suárez 10.3390/w13060870
4. GPP of a Chinese Savanna Ecosystem during Different Phenological Phases Simulated from Harmonized Landsat and Sentinel-2 Data X. Zhang et al. 10.3390/rs16183475
5. Water‐use efficiency in a semi‐arid woodland with high rainfall variability T. Tarin et al. 10.1111/gcb.14866
6. Preface: OzFlux: a network for the study of ecosystem carbon and water dynamics across Australia and New Zealand E. van Gorsel et al. 10.5194/bg-15-349-2018
7. Sun-Angle Effects on Remote-Sensing Phenology Observed and Modelled Using Himawari-8 X. Ma et al. 10.3390/rs12081339
8. Climatic Drivers of the Complex Phenology of the Mediterranean Semi-Deciduous Shrub Phlomis fruticosa Based on Satellite-Derived EVI A. Kyparissis & E. Levizou 10.3390/plants11050584
9. Towards a remote sensing data based evapotranspiration estimation in Northern Australia using a simple random forest approach V. Douna et al. 10.1016/j.jaridenv.2021.104513
10. Temporal Dynamics of Canopy Properties and Carbon and Water Fluxes in a Temperate Evergreen Angiosperm Forest A. Renchon et al. 10.3390/f15050801
11. Evergreen and ever growing – Stem and canopy growth dynamics of a temperate eucalypt forest A. Griebel et al. 10.1016/j.foreco.2016.12.017
12. Uncertainty quantification in land surface temperature retrieved from Himawari-8/AHI data by operational algorithms Y. Yamamoto et al. 10.1016/j.isprsjprs.2022.07.008
13. Land surface phenology indicators retrieved across diverse ecosystems using a modified threshold algorithm Q. Xie et al. 10.1016/j.ecolind.2023.110000
14. Field-Layer Vegetation and Water Table Level as a Proxy of CO2 Exchange in the West Siberian Boreal Bog D. Ilyasov et al. 10.3390/land12030566
15. Mulga, a major tropical dry open forest of Australia: recent insights to carbon and water fluxes D. Eamus et al. 10.1088/1748-9326/11/12/125011
16. Technical note: Dynamic INtegrated Gap-filling and partitioning for OzFlux (DINGO) J. Beringer et al. 10.5194/bg-14-1457-2017
17. Carbon and water fluxes in two adjacent Australian semi-arid ecosystems T. Tarin et al. 10.1016/j.agrformet.2019.107853
18. Multi-climate mode interactions drive hydrological and vegetation responses to hydroclimatic extremes in Australia Z. Xie et al. 10.1016/j.rse.2019.111270
19. Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model X. Chen et al. 10.1029/2018MS001565
20. Land surface phenology retrievals for arid and semi-arid ecosystems Q. Xie et al. 10.1016/j.isprsjprs.2022.01.017
21. Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years J. Xiao et al. 10.1016/j.rse.2019.111383
22. Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities W. Smith et al. 10.1016/j.rse.2019.111401
23. An introduction to the Australian and New Zealand flux tower network – OzFlux J. Beringer et al. 10.5194/bg-13-5895-2016
24. Elucidating observed land surface feedbacks across sub-Saharan Africa M. Notaro et al. 10.1007/s00382-019-04730-3
25. The role of understory phenology and productivity in the carbon dynamics of longleaf pine savannas S. Wiesner et al. 10.1002/ecs2.2675
26. Upside-down fluxes Down Under: CO<sub>2</sub> net sink in winter and net source in summer in a temperate evergreen broadleaf forest A. Renchon et al. 10.5194/bg-15-3703-2018
27. Biometeorological effects on carbon dioxide and water-use efficiency within a semiarid grassland in the Chinese Loess Plateau P. Yue et al. 10.1016/j.jhydrol.2020.125520
28. Tree–grass phenology information improves light use efficiency modelling of gross primary productivity for an Australian tropical savanna C. Moore et al. 10.5194/bg-14-111-2017
29. Contrasting ecophysiology of two widespread arid zone tree species with differing access to water resources R. Nolan et al. 10.1016/j.jaridenv.2018.01.003
30. Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network J. Beringer et al. 10.1111/gcb.16141
31. Spatiotemporal partitioning of savanna plant functional type productivity along NATT X. Ma et al. 10.1016/j.rse.2020.111855
32. Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia V. Barraza et al. 10.1016/j.agrformet.2019.01.032
33. Vertical distribution of gas exchanges and their integration throughout the entire canopy in a maize field Z. Xu et al. 10.1007/s11120-020-00817-9
34. Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography C. Moore et al. 10.5194/bg-13-5085-2016
35. Estimation of latent heat flux over savannah vegetation across the North Australian Tropical Transect from multiple sensors and global meteorological data V. Barraza et al. 10.1016/j.agrformet.2016.10.013
36. Comparison of the performance of latent heat flux products over southern hemisphere forest ecosystems: estimating latent heat flux error structure using in situ measurements and the triple collocation method V. Barraza Bernadas et al. 10.1080/01431161.2018.1458348
37. Improving the prediction of African savanna vegetation variables using time series of MODIS products M. Tsalyuk et al. 10.1016/j.isprsjprs.2017.07.012