16 citations as recorded by crossref.

1. Climate Sensitivities of Carbon Turnover Times in Soil and Vegetation: Understanding Their Effects on Forest Carbon Sequestration R. Ge et al. 10.1029/2020JG005880
2. Isolating the effects of land use and functional variation on Yucatán's forest biomass under global change S. George-Chacon et al. 10.3389/ffgc.2023.1204596
3. The carbon budget of the managed grasslands of Great Britain – informed by earth observations V. Myrgiotis et al. 10.5194/bg-19-4147-2022
4. Combining Process Modelling and LAI Observations to Diagnose Winter Wheat Nitrogen Status and Forecast Yield A. Revill et al. 10.3390/agronomy11020314
5. Parameter uncertainty dominates C-cycle forecast errors over most of Brazil for the 21st century T. Smallman et al. 10.5194/esd-12-1191-2021
6. Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance A. Norton et al. 10.5194/bg-20-2455-2023
7. Evidence and Controls of the Acceleration of the Hydrological Cycle Over Land Y. Wang et al. 10.1029/2022WR033970
8. Carbon Stocks and Fluxes in Kenyan Forests and Wooded Grasslands Derived from Earth Observation and Model-Data Fusion P. Rodríguez-Veiga et al. 10.3390/rs12152380
9. CARDAMOM-FluxVal version 1.0: a FLUXNET-based validation system for CARDAMOM carbon and water flux estimates Y. Yang et al. 10.5194/gmd-15-1789-2022
10. Scale variance in the carbon dynamics of fragmented, mixed-use landscapes estimated using model–data fusion D. Milodowski et al. 10.5194/bg-20-3301-2023
11. Alternate Trait‐Based Leaf Respiration Schemes Evaluated at Ecosystem‐Scale Through Carbon Optimization Modeling and Canopy Property Data R. Thomas et al. 10.1029/2019MS001679
12. Generalized Relationship Linking Water Balance and Vegetation Productivity across Site-to-Regional Scales G. Abeshu et al. 10.1061/JHYEFF.HEENG-6163
13. A model-data fusion approach to analyse carbon dynamics in managed grasslands V. Myrgiotis et al. 10.1016/j.agsy.2020.102907
14. Inferring management and predicting sub-field scale C dynamics in UK grasslands using biogeochemical modelling and satellite-derived leaf area data V. Myrgiotis et al. 10.1016/j.agrformet.2021.108466
15. Optimal model complexity for terrestrial carbon cycle prediction C. Famiglietti et al. 10.5194/bg-18-2727-2021
16. A systematic review on the use of remote sensing technologies in quantifying grasslands ecosystem services A. Masenyama et al. 10.1080/15481603.2022.2088652