175 citations as recorded by crossref.

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20. Detecting regional GPP variations with statistically downscaled solar-induced chlorophyll fluorescence (SIF) based on GOME-2 and MODIS data S. Hu & X. Mo 10.1080/01431161.2020.1798549
21. Revisiting dry season vegetation dynamics in the Amazon rainforest using different satellite vegetation datasets X. Xie et al. 10.1016/j.agrformet.2021.108704
22. Satellite evidence for China's leading role in restoring vegetation productivity over global karst ecosystems X. Tang et al. 10.1016/j.foreco.2021.120000
23. Satellite-Detected Contrasting Responses of Canopy Structure and Leaf Physiology to Drought H. Gu et al. 10.1109/JSTARS.2023.3247422
24. Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine Learning Approaches L. Zhang et al. 10.3390/rs12010021
25. The influence of atmospheric intraseasonal oscillations on terrestrial biospheric CO2 fluxes in Southeast China Forest J. Li et al. 10.1007/s00382-021-05702-2
26. Estimating evapotranspiration using remotely sensed solar-induced fluorescence measurements K. Zhou et al. 10.1016/j.agrformet.2021.108800
27. 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
28. Recent global decline of CO 2 fertilization effects on vegetation photosynthesis S. Wang et al. 10.1126/science.abb7772
29. An exploration of solar-induced chlorophyll fluorescence (SIF) factors simulated by SCOPE for capturing GPP across vegetation types S. Yang et al. 10.1016/j.ecolmodel.2022.110079
30. Diverse biosphere influence on carbon and heat in mixed urban Mediterranean landscape revealed by high resolution thermal and optical remote sensing N. Parazoo et al. 10.1016/j.scitotenv.2021.151335
31. A shift in the dominant role of atmospheric vapor pressure deficit and soil moisture on vegetation greening in China Y. Cheng et al. 10.1016/j.jhydrol.2022.128680
32. Review of Top-of-Canopy Sun-Induced Fluorescence (SIF) Studies from Ground, UAV, Airborne to Spaceborne Observations S. Bandopadhyay et al. 10.3390/s20041144
33. Impact of radiation variations on temporal upscaling of instantaneous Solar-Induced Chlorophyll Fluorescence R. Cheng et al. 10.1016/j.agrformet.2022.109197
34. Untangling the importance of dynamic and thermodynamic drivers for wet and dry spells across the Tropical Andes C. Klein et al. 10.1088/1748-9326/acb72b
35. Seasonal variations in vegetation water content retrieved from microwave remote sensing over Amazon intact forests H. Wang et al. 10.1016/j.rse.2022.113409
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38. A Global, 0.05-Degree Product of Solar-Induced Chlorophyll Fluorescence Derived from OCO-2, MODIS, and Reanalysis Data X. Li & J. Xiao 10.3390/rs11050517
39. Spring and autumn phenology across the Tibetan Plateau inferred from normalized difference vegetation index and solar-induced chlorophyll fluorescence F. Meng et al. 10.1080/20964471.2021.1920661
40. Modeling Transpiration with Sun-Induced Chlorophyll Fluorescence Observations via Carbon-Water Coupling Methods H. Feng et al. 10.3390/rs13040804
41. Mapping Photosynthesis Solely from Solar-Induced Chlorophyll Fluorescence: A Global, Fine-Resolution Dataset of Gross Primary Production Derived from OCO-2 . Li & . Xiao 10.3390/rs11212563
42. Improve the Performance of the Noah‐MP‐Crop Model by Jointly Assimilating Soil Moisture and Vegetation Phenology Data T. Xu et al. 10.1029/2020MS002394
43. An empirical model for estimating daily atmospheric column-averaged CO2 concentration above São Paulo state, Brazil L. da Costa et al. 10.1186/s13021-022-00209-7
44. Estimation of post-fire vegetation recovery in boreal forests using solar-induced chlorophyll fluorescence (SIF) data M. Guo et al. 10.1071/WF20162
45. Higher vegetation sensitivity to meteorological drought in autumn than spring across European biomes H. Jin et al. 10.1038/s43247-023-00960-w
46. A Spatiotemporal Constrained Machine Learning Method for OCO-2 Solar-Induced Chlorophyll Fluorescence (SIF) Reconstruction H. Shen et al. 10.1109/TGRS.2022.3204885
47. Exploring the Best-Matching Plant Traits and Environmental Factors for Vegetation Indices in Estimates of Global Gross Primary Productivity W. Zhao & Z. Zhu 10.3390/rs14246316
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50. Global Analysis of the Relationship between Reconstructed Solar-Induced Chlorophyll Fluorescence (SIF) and Gross Primary Production (GPP) H. Gao et al. 10.3390/rs13142824
51. The European Forest Condition Monitor: Using Remotely Sensed Forest Greenness to Identify Hot Spots of Forest Decline A. Buras et al. 10.3389/fpls.2021.689220
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54. Upscaling GOME-2 SIF from clear-sky instantaneous observations to all-sky sums leading to an improved SIF–GPP correlation J. Hu et al. 10.1016/j.agrformet.2021.108439
55. Variability of Remotely Sensed Solar-Induced Chlorophyll Fluorescence in Relation to Climate Indices K. He et al. 10.3390/environments9090121
56. Improvement of transpiration estimation based on a two-leaf conductance-photosynthesis model with seasonal parameters for temperate deciduous forests J. Jin et al. 10.3389/fpls.2023.1164078
57. Climate change is enforcing physiological changes in Arctic Ecosystems N. Madani et al. 10.1088/1748-9326/acde92
58. Photosynthesis phenology, as defined by solar-induced chlorophyll fluorescence, is overestimated by vegetation indices in the extratropical Northern Hemisphere A. Chen et al. 10.1016/j.agrformet.2022.109027
59. Phenological Characteristics of Global Ecosystems Based on Optical, Fluorescence, and Microwave Remote Sensing M. Dannenberg et al. 10.3390/rs12040671
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62. Variation of gross primary productivity dominated by leaf area index in significantly greening area X. Chen et al. 10.1007/s11442-023-2151-5
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64. Shifting from a thermal-constrained to water-constrained ecosystem over the Tibetan Plateau C. Xu et al. 10.3389/fpls.2023.1125288
65. Terrestrial CO2 exchange diagnosis using a peatland-optimized vegetation photosynthesis and respiration model (VPRM) for the Hudson Bay Lowlands O. Balogun et al. 10.1016/j.scitotenv.2023.162591
66. Extraction of sub-pixel C3/C4 emissions of solar-induced chlorophyll fluorescence (SIF) using artificial neural network O. Kira & Y. Sun 10.1016/j.isprsjprs.2020.01.017
67. Using atmospheric observations to quantify annual biogenic carbon dioxide fluxes on the Alaska North Slope L. Schiferl et al. 10.5194/bg-19-5953-2022
68. Progress of studies on satellite-based terrestrial vegetation production models in China W. Yuan et al. 10.1177/03091333221114864
69. Land cover and latitude affect vegetation phenology determined from solar induced fluorescence across Ontario, Canada C. Rogers & J. Chen 10.1016/j.jag.2022.103036
70. Can Data Assimilation Improve Short-Term Prediction of Land Surface Variables? Y. Tian et al. 10.3390/rs14205172
71. Can upscaling ground nadir SIF to eddy covariance footprint improve the relationship between SIF and GPP in croplands? G. Wu et al. 10.1016/j.agrformet.2023.109532
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77. Capturing the Impact of the 2018 European Drought and Heat across Different Vegetation Types Using OCO-2 Solar-Induced Fluorescence A. Shekhar et al. 10.3390/rs12193249
78. Simulating spatially distributed solar-induced chlorophyll fluorescence using a BEPS-SCOPE coupling framework T. Cui et al. 10.1016/j.agrformet.2020.108169
79. Winter wheat yield prediction in the conterminous United States using solar-induced chlorophyll fluorescence data and XGBoost and random forest algorithm A. Joshi et al. 10.1016/j.ecoinf.2023.102194
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82. Vapor Pressure Deficit and Sunlight Explain Seasonality of Leaf Phenology and Photosynthesis Across Amazonian Evergreen Broadleaved Forest X. Chen et al. 10.1029/2020GB006893
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90. Monitoring drought impacts on crop productivity of the U.S. Midwest with solar-induced fluorescence: GOSIF outperforms GOME-2 SIF and MODIS NDVI, EVI, and NIRv R. Qiu et al. 10.1016/j.agrformet.2022.109038
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