50 citations as recorded by crossref.

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4. Seasonal Dynamics of Canopy Properties and Ecosystem Fluxes in a Temperate Evergreen Angiosperm Forest A. Renchon et al. 10.2139/ssrn.3987846
5. Remote Sensing of Ecosystem Health: Opportunities, Challenges, and Future Perspectives Z. Li et al. 10.3390/s141121117
6. 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
7. Monitoring the seasonal and interannual variation of the carbon sequestration in a temperate deciduous forest with MODIS time series data X. Tang et al. 10.1016/j.foreco.2013.06.032
8. Excessive positive response of model‐simulated land net primary production to climate changes over circumboreal forests S. Tei & A. Sugimoto 10.1002/pei3.10025
9. Evaluation of satellite based indices for gross primary production estimates in a sparse savanna in the Sudan M. Sjöström et al. 10.5194/bg-6-129-2009
10. Knowledge-based classification of remote sensing data for the estimation of below- and above-ground organic carbon stocks in riparian forests L. Suchenwirth et al. 10.1007/s11273-012-9252-8
11. 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
12. Temporal disparity in leaf chlorophyll content and leaf area index across a growing season in a temperate deciduous forest H. Croft et al. 10.1016/j.jag.2014.06.005
13. Assessing the Use of Sentinel-2 Data for Spatio-Temporal Upscaling of Flux Tower Gross Primary Productivity Measurements A. Spinosa et al. 10.3390/rs15030562
14. 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
15. Estimating local-scale forest GPP in Northern Europe using Sentinel-2: Model comparisons with LUE, APAR, the plant phenology index, and a light response function S. Junttila et al. 10.1016/j.srs.2022.100075
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17. Text Mining in Remotely Sensed Phenology Studies: A Review on Research Development, Main Topics, and Emerging Issues S. Bajocco et al. 10.3390/rs11232751
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20. An Optical Sensor Network for Vegetation Phenology Monitoring and Satellite Data Calibration L. Eklundh et al. 10.3390/s110807678
21. What makes the satellite‐based EVI–GPP relationship unclear in a deciduous broad‐leaved forest? S. Nagai et al. 10.1007/s11284-009-0663-9
22. Ecological applications of physically based remote sensing methods M. Rautiainen et al. 10.1080/02827581.2010.497159
23. Ecosystem functional assessment based on the “optical type” concept and self-similarity patterns: An application using MODIS-NDVI time series autocorrelation M. Huesca et al. 10.1016/j.jag.2015.04.008
24. 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
25. Temporal Dynamics of Canopy Properties and Carbon and Water Fluxes in a Temperate Evergreen Angiosperm Forest A. Renchon et al. 10.3390/f15050801
26. 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
27. 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
28. 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
29. 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
30. 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
31. Mapping insect defoliation in Scots pine with MODIS time-series data L. Eklundh et al. 10.1016/j.rse.2009.03.008
32. 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
33. 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
34. Effects of Temperature and Water Availability on Northern European Boreal Forests G. Ruiz-Pérez & G. Vico 10.3389/ffgc.2020.00034
35. Impact of nutrients on peatland GPP estimations using MODIS time series data P. Schubert et al. 10.1016/j.rse.2010.04.018
36. 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
37. Estimating northern peatland CO2 exchange from MODIS time series data P. Schubert et al. 10.1016/j.rse.2010.01.005
38. Monitoring cropland daily carbon dioxide exchange at field scales with Sentinel-2 satellite imagery P. Gottschalk et al. 10.5194/bg-21-3593-2024
39. 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
40. 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
41. Random Forest Development and Modeling of Gross Primary Productivity in the Hudson Bay Lowlands J. Beaver et al. 10.1080/07038992.2024.2355937
42. Upscaling Northern Peatland CO2 Fluxes Using Satellite Remote Sensing Data S. Junttila et al. 10.3390/rs13040818
43. 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
44. 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
45. A high‐resolution approach to estimating ecosystem respiration at continental scales using operational satellite data J. Jägermeyr et al. 10.1111/gcb.12443
46. 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
47. 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
48. NPP estimation using random forest and impact feature variable importance analysis B. Yu et al. 10.1080/14498596.2017.1367331
49. 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
50. High-latitude tree growth and satellite vegetation indices: Correlations and trends in Russia and Canada (1982–2008) L. Berner et al. 10.1029/2010JG001475