48 citations as recorded by crossref.

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4. Remote Sensing of Ecosystem Health: Opportunities, Challenges, and Future Perspectives Z. Li et al. 10.3390/s141121117
5. Strong and stable relationships between tree-ring parameters and forest-level carbon fluxes in a Siberian larch forest S. Tei et al. 10.1016/j.polar.2019.02.001
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7. Excessive positive response of model‐simulated land net primary production to climate changes over circumboreal forests S. Tei & A. Sugimoto 10.1002/pei3.10025
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10. Modelling Daily Gross Primary Productivity with Sentinel-2 Data in the Nordic Region–Comparison with Data from MODIS Z. Cai et al. 10.3390/rs13030469
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13. Influence of Landscape Heterogeneity and Spatial Resolution in Multi-Temporal In Situ and MODIS NDVI Data Proxies for Seasonal GPP Dynamics M. Balzarolo et al. 10.3390/rs11141656
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15. MODIS vegetation products as proxies of photosynthetic potential along a gradient of meteorologically and biologically driven ecosystem productivity N. Restrepo-Coupe et al. 10.5194/bg-13-5587-2016
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23. Influence of vegetation phenology on modelling carbon fluxes in temperate deciduous forest by exclusive use of MODIS time-series data X. Tang et al. 10.1080/01431161.2013.838708
24. Temporal Dynamics of Canopy Properties and Carbon and Water Fluxes in a Temperate Evergreen Angiosperm Forest A. Renchon et al. 10.3390/f15050801
25. Remotely monitoring ecosystem respiration from various grasslands along a large-scale east–west transect across northern China X. Tang et al. 10.1186/s13021-020-00141-8
26. Parameterization of an ecosystem light-use-efficiency model for predicting savanna GPP using MODIS EVI X. Ma et al. 10.1016/j.rse.2014.08.025
27. Annual changes in MODIS vegetation indices of Swedish coniferous forests in relation to snow dynamics and tree phenology A. Jönsson et al. 10.1016/j.rse.2010.06.005
28. Large-Scale Mapping of Carbon Stocks in Riparian Forests with Self-Organizing Maps and the k-Nearest-Neighbor Algorithm L. Suchenwirth et al. 10.3390/f5071635
29. Modeling GPP in the Nordic forest landscape with MODIS time series data—Comparison with the MODIS GPP product P. Schubert et al. 10.1016/j.rse.2012.08.005
30. Mapping insect defoliation in Scots pine with MODIS time-series data L. Eklundh et al. 10.1016/j.rse.2009.03.008
31. Temporal variability of observed and simulated gross primary productivity, modulated by vegetation state and hydrometeorological drivers J. De Pue et al. 10.5194/bg-20-4795-2023
32. Relating MODIS vegetation index time-series with structure, light absorption and stem production of fast-growing Eucalyptus plantations C. Marsden et al. 10.1016/j.foreco.2009.07.039
33. Effects of Temperature and Water Availability on Northern European Boreal Forests G. Ruiz-Pérez & G. Vico 10.3389/ffgc.2020.00034
34. Impact of nutrients on peatland GPP estimations using MODIS time series data P. Schubert et al. 10.1016/j.rse.2010.04.018
35. Potential for using remote sensing to estimate carbon fluxes across northern peatlands – A review K. Lees et al. 10.1016/j.scitotenv.2017.09.103
36. Estimating northern peatland CO2 exchange from MODIS time series data P. Schubert et al. 10.1016/j.rse.2010.01.005
37. Including land cover change in analysis of greenness trends using all available Landsat 5, 7, and 8 images: A case study from Guangzhou, China (2000–2014) Z. Zhu et al. 10.1016/j.rse.2016.03.036
38. Interaction of climate, topography and soil properties with cropland and cropping pattern using remote sensing data and machine learning methods J. Liu et al. 10.1016/j.ejrs.2023.05.005
39. Random Forest Development and Modeling of Gross Primary Productivity in the Hudson Bay Lowlands J. Beaver et al. 10.1080/07038992.2024.2355937
40. Upscaling Northern Peatland CO2 Fluxes Using Satellite Remote Sensing Data S. Junttila et al. 10.3390/rs13040818
41. A remote sensing model to estimate ecosystem respiration in Northern China and the Tibetan Plateau Y. Gao et al. 10.1016/j.ecolmodel.2015.03.001
42. Validation and analysis of Terra and Aqua MODIS, and SNPP VIIRS vegetation indices under zero vegetation conditions: A case study using Railroad Valley Playa T. Miura et al. 10.1016/j.rse.2021.112344
43. A high‐resolution approach to estimating ecosystem respiration at continental scales using operational satellite data J. Jägermeyr et al. 10.1111/gcb.12443
44. Uncertainty analysis of gross primary production upscaling using Random Forests, remote sensing and eddy covariance data G. Tramontana et al. 10.1016/j.rse.2015.07.015
45. Remotely Sensed Land Surface Temperature Can Be Used to Estimate Ecosystem Respiration in Intact and Disturbed Northern Peatlands I. Burdun et al. 10.1029/2021JG006411
46. NPP estimation using random forest and impact feature variable importance analysis B. Yu et al. 10.1080/14498596.2017.1367331
47. A Tree Ring Proxy Evaluation of Declining Causes in Pinus sylvestris L. and Pinus nigra J.F. Arnold in Northeastern Romania C. Nechita et al. 10.3390/f13020336
48. High-latitude tree growth and satellite vegetation indices: Correlations and trends in Russia and Canada (1982–2008) L. Berner et al. 10.1029/2010JG001475