50 citations as recorded by crossref.

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28. A Method for Estimating Annual Cumulative Soil/Ecosystem Respiration and CH4 Flux from Sporadic Data Collected Using the Chamber Method M. Yang et al. 10.3390/atmos10100623
29. Assessing the response of forest productivity to climate extremes in Switzerland using model–data fusion V. Trotsiuk et al. 10.1111/gcb.15011
30. Impacts of shifting phenology on boundary layer dynamics in North America in the CESM X. Li et al. 10.1016/j.agrformet.2022.109286
31. Modeling and uncertainty analysis of carbon and water fluxes in a broad-leaved Korean pine mixed forest based on model-data fusion X. Ren et al. 10.1016/j.ecolmodel.2018.03.013
32. Integration of satellite remote sensing data in ecosystem modelling at local scales: Practices and trends D. Pasetto et al. 10.1111/2041-210X.13018
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38. Modeling phenological controls on carbon dynamics in dryland sagebrush ecosystems K. Renwick et al. 10.1016/j.agrformet.2019.04.003
39. Advancements in remote sensing for active fire detection: A review of datasets and methods S. Yang et al. 10.1016/j.scitotenv.2024.173273
40. Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. 10.1007/s10712-019-09506-2
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45. Three decades of simulated global terrestrial carbon fluxes from a data assimilation system confronted with different periods of observations K. Castro-Morales et al. 10.5194/bg-16-3009-2019
46. 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
47. Remote sensing of plant-water relations: An overview and future perspectives A. Damm et al. 10.1016/j.jplph.2018.04.012
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49. Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress G. Mohammed et al. 10.1016/j.rse.2019.04.030
50. China's Terrestrial Carbon Sink Over 2010–2015 Constrained by Satellite Observations of Atmospheric CO2 and Land Surface Variables W. He et al. 10.1029/2021JG006644