325 citations as recorded by crossref.

1. Global modeling diurnal gross primary production from OCO-3 solar-induced chlorophyll fluorescence Z. Zhang et al. 10.1016/j.rse.2022.113383
2. Disentangling the effects of vapor pressure deficit on northern terrestrial vegetation productivity Z. Zhong et al. 10.1126/sciadv.adf3166
3. Large and projected strengthening moisture limitation on end-of-season photosynthesis Y. Zhang et al. 10.1073/pnas.1914436117
4. Future socio-ecosystem productivity threatened by compound drought–heatwave events J. Yin et al. 10.1038/s41893-022-01024-1
5. A Shift From Temperature to Water as the Primary Driver for Interannual Variability of the Tropical Carbon Cycle B. He et al. 10.1029/2023GL102812
6. Improving E3SM Land Model Photosynthesis Parameterization via Satellite SIF, Machine Learning, and Surrogate Modeling A. Chen et al. 10.1029/2022MS003135
7. Characteristics, drivers and feedbacks of global greening S. Piao et al. 10.1038/s43017-019-0001-x
8. Scaling solar-induced chlorophyll fluorescence by using VPD0.5 improves the simulation of reference crop evapotranspiration in the arid and semiarid regions of northern China R. Wang et al. 10.1016/j.jhydrol.2023.130254
9. Seasonal Differences in Vegetation Susceptibility to Soil Drought During 2001–2021 J. Tang et al. 10.1029/2024JG008330
10. Improving terrestrial evapotranspiration estimation using physics-guided machine learning model driven by solar-induced chlorophyll fluorescence R. Wang et al. 10.1016/j.jhydrol.2025.133468
11. Regulation of the global carbon and water cycles through vegetation structural and physiological dynamics W. Li et al. 10.1088/1748-9326/ad5858
12. Hyplant-Derived Sun-Induced Fluorescence—A New Opportunity to Disentangle Complex Vegetation Signals from Diverse Vegetation Types S. Bandopadhyay et al. 10.3390/rs11141691
13. Remote Sensing of Seasonal Climatic Constraints on Leaf Phenology Across Pantropical Evergreen Forest Biome Q. Li et al. 10.1029/2021EF002160
14. Decreasing elevational gradient in peak photosynthesis timing on the Tibetan Plateau Y. Liu et al. 10.1016/j.agrformet.2023.109558
15. Radiation‐constrained boundaries cause nonuniform responses of the carbon uptake phenology to climatic warming in the Northern Hemisphere A. Descals et al. 10.1111/gcb.16502
16. Using Multisource Data and Time Series Features to Construct a Global Terrestrial CO₂ Coverage by Deep Learning W. Tian et al. 10.1109/TGRS.2024.3462589
17. 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
18. Satellite-Detected Contrasting Responses of Canopy Structure and Leaf Physiology to Drought H. Gu et al. 10.1109/JSTARS.2023.3247422
19. 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
20. Research on Improving the Accuracy of SIF Data in Estimating Gross Primary Productivity in Arid Regions W. Liu et al. 10.3390/land13081222
21. Detection of fast-changing intra-seasonal vegetation dynamics of drylands using solar-induced chlorophyll fluorescence (SIF) J. Wen et al. 10.5194/bg-22-2049-2025
22. 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
23. Substantial Reduction in Vegetation Photosynthesis Capacity during Compound Droughts in the Three-River Headwaters Region, China J. Miao et al. 10.3390/rs15204943
24. Quantifying the altitudinal response of water yield capacity to climate change in an alpine basin on the Tibetan Plateau through integrating the WRF-Hydro and Budyko framework L. Tian et al. 10.1016/j.catena.2024.108087
25. 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
26. A Geographically Random Machine Learning Model for GOME-2 Global Seamless Sun-Induced Chlorophyll Fluorescence Downscaling Products With High Spatiotemporal Resolution S. He et al. 10.1109/TGRS.2025.3552678
27. Review of Top-of-Canopy Sun-Induced Fluorescence (SIF) Studies from Ground, UAV, Airborne to Spaceborne Observations S. Bandopadhyay et al. 10.3390/s20041144
28. A Spatially Downscaled TROPOMI SIF Product at 0.005° Resolution With Bias Correction J. Hu et al. 10.1109/JSTARS.2024.3433371
29. 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
30. 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
31. Reservoir storage flash droughts in India are driven by human interventions R. Singh & V. Mishra 10.1016/j.hydroa.2025.100207
32. Worldwide impacts of atmospheric vapor pressure deficit on the interannual variability of terrestrial carbon sinks B. He et al. 10.1093/nsr/nwab150
33. Thermodynamic driving mechanisms for the formation of global precipitation extremes and ecohydrological effects J. Yin et al. 10.1007/s11430-022-9987-0
34. 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
35. 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
36. 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
37. An interpretable coupled model (SWAT-STFT) for multispatial-multistep evapotranspiration prediction in the river basin Z. Guo et al. 10.1016/j.agwat.2025.109742
38. Higher vegetation sensitivity to meteorological drought in autumn than spring across European biomes H. Jin et al. 10.1038/s43247-023-00960-w
39. 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
40. Decreased Sensitivity of Grassland Spring Phenology to Temperature on the Tibetan Plateau Z. Chen et al. 10.1109/JSTARS.2023.3269908
41. Sun-induced fluorescence as a proxy for primary productivity across vegetation types and climates M. Pickering et al. 10.5194/bg-19-4833-2022
42. Shifts in the trends of vegetation greenness and photosynthesis in different parts of Tibetan Plateau over the past two decades N. Anniwaer et al. 10.1016/j.agrformet.2023.109851
43. Matching Satellite Sun-Induced Chlorophyll Fluorescence to Flux Footprints Improves Its Relationship with Gross Primary Productivity L. Zhao et al. 10.3390/rs16132388
44. Solar-Induced Chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems R. Cheng 10.1007/s40641-024-00194-8
45. Wildfire probability assessment and analysis based on multi-source data in Guangxi Province, China K. Xu et al. 10.1016/j.ecolind.2025.114148
46. Positive asymmetric responses indicate larger carbon sink with increase in precipitation variability in global terrestrial ecosystems L. Dai et al. 10.59717/j.xinn-geo.2024.100060
47. Hybrid Machine Learning and Geostatistical Methods for Gap Filling and Predicting Solar-Induced Fluorescence Values J. Tadić et al. 10.3390/rs16101707
48. CEDAR-GPP: spatiotemporally upscaled estimates of gross primary productivity incorporating CO2 fertilization Y. Kang et al. 10.5194/essd-17-3009-2025
49. Global L-band equivalent AI-based vegetation optical depth dataset O. Skulovich et al. 10.1038/s41597-024-03810-2
50. 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
51. Variability of Remotely Sensed Solar-Induced Chlorophyll Fluorescence in Relation to Climate Indices K. He et al. 10.3390/environments9090121
52. Climate change is enforcing physiological changes in Arctic Ecosystems N. Madani et al. 10.1088/1748-9326/acde92
53. Generating Daily High-Resolution Regional XCO2 by Deep Neural Network and Multi-Source Data W. Tian et al. 10.3390/atmos15080985
54. Mitigating the directional retrieval error of solar-induced chlorophyll fluorescence in the red band Z. Zhang & Y. Zhang 10.1016/j.rse.2024.114496
55. Phenological Characteristics of Global Ecosystems Based on Optical, Fluorescence, and Microwave Remote Sensing M. Dannenberg et al. 10.3390/rs12040671
56. Consistent time allocation fraction to vegetation green-up versus senescence across northern ecosystems despite recent climate change F. Meng et al. 10.1126/sciadv.adn2487
57. Lagged effects regulate the inter-annual variability of the tropical carbon balance A. Bloom et al. 10.5194/bg-17-6393-2020
58. Changes in peak greenness timing and senescence duration codetermine the responses of leaf senescence date to drought over Mongolian grassland W. Bai et al. 10.1016/j.agrformet.2023.109869
59. Synergistic use of SMAP and OCO-2 data in assessing the responses of ecosystem productivity to the 2018 U.S. drought X. Li et al. 10.1016/j.rse.2020.112062
60. Downscaling Solar-Induced Chlorophyll Fluorescence to a 0.05° Monthly Product Using AVHRR Data in East Asia (1995–2003) Y. Jin et al. 10.1109/JSTARS.2024.3369332
61. Advancing the Classification and Attribution Method for Alpine Wetlands: A Case Study of the Source Region of Three Rivers, Tibetan Plateau X. Zheng et al. 10.3390/rs17010097
62. Shifting from a thermal-constrained to water-constrained ecosystem over the Tibetan Plateau C. Xu et al. 10.3389/fpls.2023.1125288
63. 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
64. 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
65. Maize yield estimation in Northeast China’s black soil region using a deep learning model with attention mechanism and remote sensing X. Li et al. 10.1038/s41598-025-97563-6
66. 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
67. Water deficit and storm disturbances co-regulate Amazon rainforest seasonality X. Lian et al. 10.1126/sciadv.adk5861
68. 全球极端降水的热力学驱动机理及生态水文效应 家. 尹 et al. 10.1360/SSTe-2022-0100
69. Ecological and vegetation responses in a humid region in southern China during a historic drought T. Yang et al. 10.1016/j.jenvman.2024.122986
70. Coupling GEDI LiDAR and Optical Satellite for Revealing Large‐Scale Maize Lodging in Northeast China Q. Zhang et al. 10.1029/2023EF003590
71. A long-term reconstruction of a global photosynthesis proxy over 1982–2023 J. Fang et al. 10.1038/s41597-025-04686-6
72. Tracking Seasonal and Interannual Variability in Photosynthetic Downregulation in Response to Water Stress at a Temperate Deciduous Forest L. He et al. 10.1029/2018JG005002
73. UFLUX-GPP: A Cost-Effective Framework for Quantifying Daily Terrestrial Ecosystem Carbon Uptake Using Satellite Data S. Zhu et al. 10.1109/TGRS.2024.3439333
74. Comparison of Spring Phenology from Solar-Induced Chlorophyll Fluorescence, Vegetation Index, and Ground Observations in Boreal Forests D. Shi et al. 10.3390/rs17040627
75. 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
76. Integrating Diurnal Physiological and Structural Variations in SIF for Enhanced Daily Drought Detection in Maize J. Wang et al. 10.3390/rs17040565
77. A Framework to Assess the Potential Uncertainties of Three FPAR Products X. Chen et al. 10.1029/2021JG006320
78. Prediction of Vegetation Indices Series Based on SWAT-ML: A Case Study in the Jinsha River Basin C. Li et al. 10.3390/rs17060958
79. Enhancing water-carbon fluxes and yield predictions of winter wheat using irrigation and data assimilation techniques in a land surface model T. Xu et al. 10.1016/j.compag.2024.109140
80. Phylotype diversity within soil fungal functional groups drives ecosystem stability S. Liu et al. 10.1038/s41559-022-01756-5
81. Satellite Monitoring of Natural Reforestation Efforts in China's Drylands C. Gerlein-Safdi et al. 10.1016/j.oneear.2019.12.015
82. Spatiotemporal Drivers of Urban Vegetation Carbon Sequestration in the Yangtze River Delta Urban Agglomeration: A Remote Sensing-Based GWR-RF-SEM Framework Analysis W. Ma et al. 10.3390/rs17122110
83. Satellite-based reflectances capture large fraction of variability in global gross primary production (GPP) at weekly time scales J. Joiner & Y. Yoshida 10.1016/j.agrformet.2020.108092
84. 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
85. Regional-scale cotton yield forecast via data-driven spatio-temporal prediction (STP) of solar-induced chlorophyll fluorescence (SIF) X. Kang et al. 10.1016/j.rse.2023.113861
86. Response of alpine vegetation function to climate change in the Tibetan Plateau: A perspective from solar-induced chlorophyll fluorescence Y. Luo et al. 10.1016/j.scitotenv.2024.175845
87. Research on downscaling method of the enhanced TROPOMI solar-induced chlorophyll fluorescence data X. Lu et al. 10.1080/10106049.2024.2354417
88. Atmospheric dryness reduces photosynthesis along a large range of soil water deficits Z. Fu et al. 10.1038/s41467-022-28652-7
89. Spatiotemporal Variations in the Sensitivity of Vegetation Growth to Typical Climate Factors on the Qinghai–Tibet Plateau K. Wu et al. 10.3390/rs15092355
90. Phenotyping Plant Responses to Biotic Stress by Chlorophyll Fluorescence Imaging M. Pérez-Bueno et al. 10.3389/fpls.2019.01135
91. Driving mechanism of natural vegetation response to climate change in China from 2001 to 2022 X. Bai et al. 10.1016/j.envres.2025.121529
92. Exploring the dominant drivers affecting soil water content and vegetation growth by decoupling meteorological indicators X. Mao et al. 10.1016/j.jhydrol.2024.130722
93. The relative role of soil moisture and vapor pressure deficit in affecting the Indian vegetation productivity N. Dubey & S. Ghosh 10.1088/1748-9326/acd2ef
94. GTWS-MLrec: global terrestrial water storage reconstruction by machine learning from 1940 to present J. Yin et al. 10.5194/essd-15-5597-2023
95. The Ability of Sun-Induced Chlorophyll Fluorescence From OCO-2 and MODIS-EVI to Monitor Spatial Variations of Soybean and Maize Yields in the Midwestern USA Y. Gao et al. 10.3390/rs12071111
96. The confounding effect of snow cover on assessing spring phenology from space: A new look at trends on the Tibetan Plateau K. Huang et al. 10.1016/j.scitotenv.2020.144011
97. Incorporating environmental stress improves estimation of photosynthesis from NIRvP in US Great Plains pasturelands and Midwest croplands L. Gao et al. 10.1016/j.rse.2024.114516
98. Vegetation greenness and photosynthetic phenology in response to climatic determinants C. Dang et al. 10.3389/ffgc.2023.1172220
99. Vegetation Phenology in Permafrost Regions of Northeastern China Based on MODIS and Solar-induced Chlorophyll Fluorescence L. Wen et al. 10.1007/s11769-021-1204-x
100. Combination of Vegetation Indices and SIF Can Better Track Phenological Metrics and Gross Primary Production C. Zheng et al. 10.1029/2022JG007315
101. Temporal and Spatial Changes of Vegetation Phenology and Their Response to Climate in the Yellow River Basin Y. Wang et al. 10.1109/ACCESS.2023.3343367
102. Increased Global Vegetation Productivity Despite Rising Atmospheric Dryness Over the Last Two Decades Y. Song et al. 10.1029/2021EF002634
103. Advanced vegetation green-up onset in regions with cooling air temperatures in the Northern Hemisphere: Drivers and impacts on productivity N. Jiang et al. 10.1016/j.gloplacha.2025.104891
104. Widespread spring phenology effects on drought recovery of Northern Hemisphere ecosystems Y. Li et al. 10.1038/s41558-022-01584-2
105. Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
106. Characteristics of Vegetation Photosynthesis under Flash Droughts in the Major Agricultural Areas of Southern China Y. Zhang et al. 10.3390/atmos15080886
107. Heterogeneity in vegetation recovery rates post-flash droughts across different ecosystems M. Lu et al. 10.1088/1748-9326/ad5570
108. Contrasting effects of elevated ozone and climate warming on photosynthetic phenology in the Yellow River Basin Q. Zhang et al. 10.1016/j.gecco.2025.e03824
109. A spatially downscaled sun-induced fluorescence global product for enhanced monitoring of vegetation productivity G. Duveiller et al. 10.5194/essd-12-1101-2020
110. Improving Spatial Disaggregation of Crop Yield by Incorporating Machine Learning with Multisource Data: A Case Study of Chinese Maize Yield S. Chen et al. 10.3390/rs14102340
111. Quantifying the drivers of terrestrial drought and water stress impacts on carbon uptake in China Y. Yang et al. 10.1016/j.agrformet.2023.109817
112. Minimum carbon uptake controls the interannual variability of ecosystem productivity in tropical evergreen forests Z. Li et al. 10.1016/j.gloplacha.2020.103343
113. Simulating the root-to-shoot ratio of natural grassland biomass in China by the AutoGluon framework R. Guo et al. 10.1080/17538947.2025.2538220
114. Lagged precipitation effects on plant production across terrestrial biomes L. He et al. 10.1038/s41559-025-02806-4
115. Temperature-VPD-evapotranspiration interactions modulated asynchronous dynamics of vegetation photosynthesis and net ecosystem production in Eurasia R. Yang et al. 10.1016/j.ecolind.2025.113445
116. Impacts of record-breaking compound heatwave and drought events in 2022 China on vegetation growth W. Xu et al. 10.1016/j.agrformet.2023.109799
117. Central Asia's desertification challenge: Recent trends and drives explored with google earth engine S. Zhao et al. 10.1016/j.jclepro.2024.142595
118. Unraveling Interactive Effects of Climate, Hydrology, and CO2 on Ecological Drought with Interpretable Machine Learning Y. Zhu et al. 10.3390/f16081325
119. Bidirectional drought‐related canopy dynamics across pantropical forests: a satellite‐based statistical analysis L. Liu et al. 10.1002/rse2.229
120. Responding time scales of vegetation production to extreme droughts over China Y. Deng et al. 10.1016/j.ecolind.2022.108630
121. High spatial resolution solar-induced chlorophyll fluorescence and its relation to rainfall precipitation across Brazilian ecosystems L. da Costa et al. 10.1016/j.envres.2022.114991
122. Advancing broadscale spatial evapotranspiration modelling by incorporating sun-induced chlorophyll fluorescence measurements S. Gao et al. 10.1016/j.jhydrol.2025.133404
123. A Reconstructed Global Daily Seamless SIF Product at 0.05 Degree Resolution Based on TROPOMI, MODIS and ERA5 Data J. Hu et al. 10.3390/rs14061504
124. Comparing Phenology of a Temperate Deciduous Forest Captured by Solar-Induced Fluorescence and Vegetation Indices T. Merrick et al. 10.3390/rs15215101
125. Development of an indicator system for solar-induced chlorophyll fluorescence monitoring to enhance early warning of flash drought Z. Qi et al. 10.1016/j.agwat.2025.109397
126. From the Ground to Space: Using Solar‐Induced Chlorophyll Fluorescence to Estimate Crop Productivity L. He et al. 10.1029/2020GL087474
127. Divergent Estimates of Forest Photosynthetic Phenology Using Structural and Physiological Vegetation Indices G. Yin et al. 10.1029/2020GL089167
128. A model for urban biogenic CO2 fluxes: Solar-Induced Fluorescence for Modeling Urban biogenic Fluxes (SMUrF v1) D. Wu et al. 10.5194/gmd-14-3633-2021
129. Downscaling solar-induced chlorophyll fluorescence for field-scale cotton yield estimation by a two-step convolutional neural network X. Kang et al. 10.1016/j.compag.2022.107260
130. Asynchronous Patterns Between Vegetation Structural Expansion and Photosynthetic Functional Enhancement on China’s Loess Plateau P. Li et al. 10.3390/f16091375
131. Asymmetric warming has different impacts on vegetation growth across various vegetation types on the Tibetan Plateau J. Lv et al. 10.1080/15481603.2024.2348257
132. Site Characteristics Mediate the Relationship Between Forest Productivity and Satellite Measured Solar Induced Fluorescence T. Yazbeck et al. 10.3389/ffgc.2021.695269
133. A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms X. Chen et al. 10.1038/s41597-022-01520-1
134. Divergent response of crops and natural vegetation to the record-breaking extreme precipitation event in 2020 modulated by topography J. Chen et al. 10.1088/1748-9326/acdaae
135. A double peak in the seasonality of California's photosynthesis as observed from space A. Turner et al. 10.5194/bg-17-405-2020
136. Dynamic global vegetation models may not capture the dynamics of the leaf area index in the tropical rainforests: A data-model intercomparison L. Zou et al. 10.1016/j.agrformet.2023.109562
137. Diminished contribution of spring phenology to early-season carbon uptake in a changing climate Z. Liu et al. 10.1038/s43247-025-02201-8
138. Developing machine learning models with multi-source environmental data to predict wheat yield in China L. Li et al. 10.1016/j.compag.2022.106790
139. Forecasting of Fine-Grained SIF of OCO-2 Using Multi-source Data and AI-Based Techniques S. Pais et al. 10.1007/s12524-024-02097-5
140. Future reversal of warming-enhanced vegetation productivity in the Northern Hemisphere Y. Zhang et al. 10.1038/s41558-022-01374-w
141. Spring photosynthetic phenology of Chinese vegetation in response to climate change and its impact on net primary productivity Y. Xue et al. 10.1016/j.agrformet.2023.109734
142. Detection of driving factors and critical thresholds for carbon sequestration capacity in urban agglomerations using a combined causal inference and machine learning approach Y. Zhang et al. 10.1080/15481603.2025.2483492
143. An improved spatially downscaled solar-induced chlorophyll fluorescence dataset from the TROPOMI product S. Chen et al. 10.1038/s41597-024-04325-6
144. Simulating climatic responses of vegetation production with ecological optimality theories Z. Hu et al. 10.59717/j.xinn-geo.2025.100153
145. A critical review of methods, principles and progress for estimating the gross primary productivity of terrestrial ecosystems Z. Liao et al. 10.3389/fenvs.2023.1093095
146. Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals W. He et al. 10.1029/2022JD037773
147. Enhancing CYGNSS Soil Moisture Retrieval Accuracy by Considering the Lag Effect of Sun-Induced Fluorescence J. Liu et al. 10.1109/JSTARS.2025.3586652
148. 基于微波遥感的卫星尺度日光诱导叶绿素荧光预测 丁. Ding Jiajia et al. 10.3788/AOS250701
149. Heterogeneity of land cover data with discrete classes obscured remotely-sensed detection of sensitivity of forest photosynthesis to climate J. Jin et al. 10.1016/j.jag.2021.102567
150. Satellite-observed vegetation responses to aerosols variability Z. Zhang et al. 10.1016/j.agrformet.2022.109278
151. Increasing susceptibility of vegetation productivity to compound drought from 2001 to 2020 J. Tang et al. 10.1016/j.gloplacha.2025.104826
152. The impact of compound drought and heatwave events from 1982 to 2022 on the phenology of Central Asian grasslands R. Tian et al. 10.1016/j.jenvman.2024.121624
153. Do State‐Of‐The‐Art Atmospheric CO2 Inverse Models Capture Drought Impacts on the European Land Carbon Uptake? W. He et al. 10.1029/2022MS003150
154. Varied responses of Amazon forests to the 2005, 2010, and 2015/2016 droughts inferred from multi-source satellite data X. She et al. 10.1016/j.agrformet.2024.110051
155. Incorporating climate data with machine learning can improve rice phenology estimation Y. Liu et al. 10.1088/1748-9326/ada56e
156. Modeling of winter wheat yield prediction based on solar-induced chlorophyll fluorescence by machine learning methods M. Zheng et al. 10.1080/22797254.2025.2455940
157. Decoupling of greenness and gross primary productivity as aridity decreases Z. Hu et al. 10.1016/j.rse.2022.113120
158. How Do Changes in Grassland Phenology and Its Responses to Extreme Climatic Events in Central Asia? X. Wang et al. 10.3390/land14010160
159. The photosynthetic response of spectral chlorophyll fluorescence differs across species and light environments in a boreal forest ecosystem P. Rajewicz et al. 10.1016/j.agrformet.2023.109434
160. Enhancing Transpiration Estimates: A Novel Approach Using SIF Partitioning and the TL-LUE Model T. Gemechu et al. 10.3390/rs16213924
161. AmeriFlux: Its Impact on our understanding of the ‘breathing of the biosphere’, after 25 years D. Baldocchi et al. 10.1016/j.agrformet.2024.109929
162. A Method to Weaken Cloud Interference in Solar-Induced Chlorophyll Fluorescence (SIF) Reconstruction by Using Satellite VOD Observations J. Ding et al. 10.1109/JSTARS.2025.3576504
163. Characterization and Evaluation of Global Solar-Induced Chlorophyll Fluorescence Products: Estimation of Gross Primary Productivity and Phenology X. Zheng et al. 10.34133/remotesensing.0173
164. Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches J. Cao et al. 10.1016/j.agrformet.2020.108275
165. Climate change increases carbon allocation to leaves in early leaf green‐up F. Meng et al. 10.1111/ele.14205
166. Increasing trend in ecosystem-scale photosynthetic efficiency in the Yellow River Basin since 2000 caused by afforestation and climate change B. Wang et al. 10.1080/11956860.2024.2303187
167. Contrasting responses of relationship between solar-induced fluorescence and gross primary production to drought across aridity gradients R. Qiu et al. 10.1016/j.rse.2023.113984
168. Evident influence of water availability on the relationship between solar-induced chlorophyll fluorescence and gross primary productivity in the alpine grasslands of the Tibetan Plateau Z. Zheng et al. 10.1016/j.jag.2024.103821
169. Using automated machine learning for the upscaling of gross primary productivity M. Gaber et al. 10.5194/bg-21-2447-2024
170. Towards unifying precipitation-vegetation productivity relationships in terrestrial ecosystems Z. Hu et al. 10.1016/j.fmre.2025.06.007
171. The Impact of the 20–50-Day Atmospheric Intraseasonal Oscillation on the Gross Primary Productivity between the Yangtze and Yellow Rivers J. Li et al. 10.1175/JCLI-D-19-0575.1
172. Increasing terrestrial ecosystem carbon release in response to autumn cooling and warming R. Tang et al. 10.1038/s41558-022-01304-w
173. Prediction of sap flux of elm (Ulmus pumila var. sabulosa) by solar induced fluorescence in a temperate savanna, China W. Cong et al. 10.1007/s11676-025-01890-3
174. Value of sun-induced chlorophyll fluorescence for quantifying hydrological states and fluxes: Current status and challenges F. Jonard et al. 10.1016/j.agrformet.2020.108088
175. Satellite footprint data from OCO-2 and TROPOMI reveal significant spatio-temporal and inter-vegetation type variabilities of solar-induced fluorescence yield in the U.S. Midwest C. Wang et al. 10.1016/j.rse.2020.111728
176. A convolutional neural network for spatial downscaling of satellite-based solar-induced chlorophyll fluorescence (SIFnet) J. Gensheimer et al. 10.5194/bg-19-1777-2022
177. TROPOMI observations allow for robust exploration of the relationship between solar-induced chlorophyll fluorescence and terrestrial gross primary production X. Li & J. Xiao 10.1016/j.rse.2021.112748
178. A novel hybrid modelling framework for GPP estimation: Integrating a multispectral surface reflectance based Vcmax25 simulator into the process-based model X. Hu et al. 10.1016/j.scitotenv.2024.171182
179. Filling Gaps in Solar-induced Chlorophyll Fluorescence Data Using Deep Residual Neural Networks J. Li et al. 10.1088/1742-6596/3055/1/012026
180. A New Drought Fluorescence Monitoring Index Established for Detecting Drought Evolution Characteristics in the Middle and Lower Reaches of the Yangtze River, China During 2001–2020 M. Li et al. 10.1109/TGRS.2023.3290239
181. Generating high-resolution total canopy SIF emission from TROPOMI data: Algorithm and application Z. Zhang et al. 10.1016/j.rse.2023.113699
182. Revisiting dry season vegetation dynamics in the Amazon rainforest using different satellite vegetation datasets X. Xie et al. 10.1016/j.agrformet.2021.108704
183. 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
184. 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
185. Estimating evapotranspiration using remotely sensed solar-induced fluorescence measurements K. Zhou et al. 10.1016/j.agrformet.2021.108800
186. 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
187. Recent global decline of CO 2 fertilization effects on vegetation photosynthesis S. Wang et al. 10.1126/science.abb7772
188. 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
189. CSIF and GOSIF Do Not Accurately Capture the Vegetation Greening During the Spring of 2020 Y. Du et al. 10.1109/LGRS.2024.3379255
190. Vegetation Index‐Based Models Without Meteorological Constraints Underestimate the Impact of Drought on Gross Primary Productivity X. Chen et al. 10.1029/2023JG007499
191. A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022 S. Tao et al. 10.1038/s41597-024-04101-6
192. Impact of radiation variations on temporal upscaling of instantaneous Solar-Induced Chlorophyll Fluorescence R. Cheng et al. 10.1016/j.agrformet.2022.109197
193. Integrating multi-source datasets in exploring the covariation of gross primary productivity (GPP) and solar-induced chlorophyll fluorescence (SIF) at an Indian tropical forest flux site M. Hari et al. 10.1007/s12665-024-11528-y
194. Combining Solar-Induced Chlorophyll Fluorescence and Optical Vegetation Indices to Better Understand Plant Phenological Responses to Global Change Y. Zhang & J. Peñuelas 10.34133/remotesensing.0085
195. Modeling Transpiration with Sun-Induced Chlorophyll Fluorescence Observations via Carbon-Water Coupling Methods H. Feng et al. 10.3390/rs13040804
196. Filling Gaps in Global Daily TROPOMI Solar-Induced Chlorophyll Fluorescence Data From 2018 to 2021 J. Li et al. 10.1109/TGRS.2025.3585237
197. Global increase in the optimal temperature for the productivity of terrestrial ecosystems Z. Fang et al. 10.1038/s43247-024-01636-9
198. 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
199. Estimation of district-level spring barley yield in southern Sweden using multi-source satellite data and random forest approach X. Li et al. 10.1016/j.jag.2024.104183
200. Estimation of post-fire vegetation recovery in boreal forests using solar-induced chlorophyll fluorescence (SIF) data M. Guo et al. 10.1071/WF20162
201. A Spatiotemporal Constrained Machine Learning Method for OCO-2 Solar-Induced Chlorophyll Fluorescence (SIF) Reconstruction H. Shen et al. 10.1109/TGRS.2022.3204885
202. Constraining 2010–2020 Amazonian carbon flux estimates with satellite solar-induced fluorescence (SIF) A. Dayalu et al. 10.5194/bg-22-1509-2025
203. Global Analysis of the Relationship between Reconstructed Solar-Induced Chlorophyll Fluorescence (SIF) and Gross Primary Production (GPP) H. Gao et al. 10.3390/rs13142824
204. 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
205. Dryland evapotranspiration from remote sensing solar-induced chlorophyll fluorescence: Constraining an optimal stomatal model within a two-source energy balance model J. Bu et al. 10.1016/j.rse.2024.113999
206. Susceptibility of vegetation low-growth to climate extremes on Tibetan Plateau Y. Zhang et al. 10.1016/j.agrformet.2023.109323
207. Evidence and attribution of the enhanced land carbon sink S. Ruehr et al. 10.1038/s43017-023-00456-3
208. Application of the Reconstructed Solar-Induced Chlorophyll Fluorescence by Machine Learning in Agricultural Drought Monitoring of Henan Province, China from 2010 to 2022 G. Cai et al. 10.3390/agronomy14091941
209. 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
210. 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
211. Intensified Structural Overshoot Aggravates Drought Impacts on Dryland Ecosystems Y. Zhang et al. 10.1029/2023EF003977
212. A new multivariate composite drought index considering the lag time and the cumulative effects of drought M. Yuan et al. 10.1016/j.jhydrol.2025.132757
213. Global evaluation of the Ecosystem Demography model (ED v3.0) L. Ma et al. 10.5194/gmd-15-1971-2022
214. Global vegetation dynamics under decreased terrestrial water storage: Insights into water stress response Y. Yang et al. 10.1016/j.agrformet.2025.110549
215. Variation of gross primary productivity dominated by leaf area index in significantly greening area X. Chen et al. 10.1007/s11442-023-2151-5
216. BO-CNN-BiLSTM deep learning model integrating multisource remote sensing data for improving winter wheat yield estimation L. Zhang et al. 10.3389/fpls.2024.1500499
217. 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
218. Hydrodynamic, Seasonal, and Climatic Factors Affecting the Terrestrial-to-Aquatic Export of Plant-Derived Biomarkers M. Schwab et al. 10.1016/j.gca.2024.12.009
219. Progress of studies on satellite-based terrestrial vegetation production models in China W. Yuan et al. 10.1177/03091333221114864
220. Can Data Assimilation Improve Short-Term Prediction of Land Surface Variables? Y. Tian et al. 10.3390/rs14205172
221. 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
222. Trade-off between growing season length and herbaceous growth on the Third Pole F. Meng et al. 10.1093/jpe/rtaf061
223. Modeling plant phenology by MODIS derived photochemical reflectance index (PRI) Y. Liu et al. 10.1016/j.agrformet.2022.109095
224. Magnitude and direction of green-up date in response to drought depend on background climate over Mongolian grassland W. Bai et al. 10.1016/j.scitotenv.2023.166051
225. Improved Global Gross Primary Productivity Estimation by Considering Canopy Nitrogen Concentrations and Multiple Environmental Factors H. Zhang et al. 10.3390/rs15030698
226. 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
227. Simulating spatially distributed solar-induced chlorophyll fluorescence using a BEPS-SCOPE coupling framework T. Cui et al. 10.1016/j.agrformet.2020.108169
228. How does canopy height regulate autumn photosynthetic phenology in the Northern Hemisphere? R. Tang et al. 10.59717/j.xinn-geo.2024.100095
229. Increasing temperature regulates the advance of peak photosynthesis timing in the boreal ecosystem G. Li et al. 10.1016/j.scitotenv.2023.163587
230. Vapor Pressure Deficit and Sunlight Explain Seasonality of Leaf Phenology and Photosynthesis Across Amazonian Evergreen Broadleaved Forest X. Chen et al. 10.1029/2020GB006893
231. Widespread and complex drought effects on vegetation physiology inferred from space W. Li et al. 10.1038/s41467-023-40226-9
232. Light limitation regulates the response of autumn terrestrial carbon uptake to warming Y. Zhang et al. 10.1038/s41558-020-0806-0
233. A machine learning-driven semi-mechanistic model for estimating actual evapotranspiration: Integrating photosynthetic indicators with vapor pressure deficit Y. Li et al. 10.1016/j.agwat.2025.109563
234. Immediate and lagged vegetation responses to dry spells revealed by continuous solar-induced chlorophyll fluorescence observations in a tall-grass prairie Y. Zhang et al. 10.1016/j.rse.2024.114080
235. A Spatial Downscaling Method for Solar-Induced Chlorophyll Fluorescence Product Using Random Forest Regression and Drought Monitoring in Henan Province Z. Zhang et al. 10.3390/rs16060963
236. Grassland growth response to drought in dryland Inner Mongolia: insights from a two-decade analysis L. Miao et al. 10.1088/1748-9326/ade171
237. Solar-induced chlorophyll fluorescence sheds light on global evapotranspiration Q. Zhang et al. 10.1016/j.rse.2024.114061
238. Projection of terrestrial drought evolution and its eco-hydrological effects in China Y. Yang et al. 10.1360/TB-2022-0566
239. Using solar-induced chlorophyll fluorescence to predict winter wheat actual evapotranspiration through machine learning and deep learning methods Y. Li et al. 10.1016/j.agwat.2025.109322
240. Attribution of vegetation fluorescence changes in China based on a decision tree stratification strategy Z. Yu et al. 10.1016/j.asr.2023.09.004
241. On the mechanisms that control the rainy season transition period in the southern Congo Basin S. Worden & R. Fu 10.1007/s00382-025-07640-9
242. Multiple Greenness Indexes Revealed the Vegetation Greening during the Growing Season and Winter on the Tibetan Plateau despite Regional Variations J. Lv et al. 10.3390/rs15245697
243. Afforestation boosted gross primary productivity of China: evidence from remote sensing W. Yan et al. 10.1007/s11676-025-01828-9
244. Warming Diminishes the Day–Night Discrepancy in the Apparent Temperature Sensitivity of Ecosystem Respiration N. Li et al. 10.3390/plants13233321
245. Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction B. Peng et al. 10.1016/j.jag.2020.102126
246. The relationship between solar-induced fluorescence and gross primary productivity under different growth conditions: global analysis using satellite and biogeochemical model data H. Zhou et al. 10.1080/01431161.2020.1763507
247. A multi-layer perceptron approach for SIF retrieval in the O2-A absorption band from hyperspectral imagery of the HyPlant airborne sensor system J. Buffat et al. 10.1016/j.rse.2024.114596
248. Declined benefit of earlier spring greening on summer growth in northern ecosystems under future scenarios Z. Huang et al. 10.1016/j.agrformet.2024.110019
249. Can Vegetation Indices Serve as Proxies for Potential Sun-Induced Fluorescence (SIF)? A Fuzzy Simulation Approach on Airborne Imaging Spectroscopy Data S. Bandopadhyay et al. 10.3390/rs13132545
250. Diminishing carryover benefits of earlier spring vegetation growth X. Lian et al. 10.1038/s41559-023-02272-w
251. Northern ecosystem productivity reduced by Rossby-wave-driven hot–dry conditions X. Lian et al. 10.1038/s41561-025-01722-3
252. Exploring the superiority of solar-induced chlorophyll fluorescence data in predicting wheat yield using machine learning and deep learning methods Y. Liu et al. 10.1016/j.compag.2021.106612
253. Winter snow cover influences growing-season vegetation productivity non-uniformly in the Northern Hemisphere H. Liu et al. 10.1038/s43247-023-01167-9
254. Nonlinear Thermal Responses Outweigh Water Limitation in the Attenuated Effect of Climatic Warming on Photosynthesis in Northern Ecosystems G. Yin et al. 10.1029/2022GL100096
255. Hot temperature extremes and vapor pressure deficits co-explain changes in the timing of peak photosynthetic activity in the forest belt of northeast China Y. Zhang et al. 10.1007/s11676-025-01875-2
256. Detecting the Spatiotemporal Variation of Vegetation Phenology in Northeastern China Based on MODIS NDVI and Solar-Induced Chlorophyll Fluorescence Dataset R. Zhang et al. 10.3390/su15076012
257. Significant Inverse Influence of Tropical Indian Ocean SST on SIF of Indian Vegetation during the Summer Monsoon Onset Phase R. Varghese et al. 10.3390/rs15071756
258. Divergent trends of ecosystem‐scale photosynthetic efficiency between arid and humid lands across the globe F. Wei et al. 10.1111/geb.13561
259. Solar-induced chlorophyll fluorescence detects photosynthesis variations and drought effects in tropical rubber plantation and natural deciduous forests X. Wang et al. 10.1016/j.agrformet.2023.109591
260. Estimating Global Gross Primary Production Using an Improved MODIS Leaf Area Index Dataset S. Wang et al. 10.3390/rs16193731
261. Remotely Monitoring Vegetation Productivity in Two Contrasting Subtropical Forest Ecosystems Using Solar-Induced Chlorophyll Fluorescence G. Liu et al. 10.3390/rs14061328
262. Importance of the legacy effect for assessing spatiotemporal correspondence between interannual tree-ring width and remote sensing products in the Sierra Nevada C. Wong et al. 10.1016/j.rse.2021.112635
263. Water Stress Dominates 21st‐Century Tropical Land Carbon Uptake P. Levine et al. 10.1029/2023GB007702
264. Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al. 10.5194/acp-22-14547-2022
265. Increased early-season productivity drives earlier peak of vegetation photosynthesis across the Northern Hemisphere Z. Liu et al. 10.1038/s43247-025-02104-8
266. Rice Yield Prediction and Model Interpretation Based on Satellite and Climatic Indicators Using a Transformer Method Y. Liu et al. 10.3390/rs14195045
267. Temporally corrected long-term satellite solar-induced fluorescence leads to improved estimation of global trends in vegetation photosynthesis during 1995–2018 S. Wang et al. 10.1016/j.isprsjprs.2022.10.018
268. The reconstructed solar-induced chlorophyll fluorescence dataset reveals the almost ubiquitous close relationship between vegetation transpiration and solar-induced chlorophyll fluorescence R. Wang & J. Zheng 10.1016/j.jhydrol.2024.131883
269. Using solar-induced chlorophyll fluorescence to estimate forest evapotranspiration X. Liu et al. 10.1016/j.jhydrol.2025.133595
270. Improved Global Maps of the Optimum Growth Temperature, Maximum Light Use Efficiency, and Gross Primary Production for Vegetation Y. Chen et al. 10.1029/2020JG005651
271. Satellite greenness and solar‐induced chlorophyll fluorescence reveal reverse desertification in Gurbantunggut Desert P. He et al. 10.1002/eap.2757
272. Increasing susceptibility and shortening response time of vegetation productivity to drought from 2001 to 2021 J. Tang et al. 10.1016/j.agrformet.2024.110025
273. Response of Vegetation Photosynthesis to the 2022 Drought in Yangtze River Basin by Diurnal Orbiting Carbon Observatory-2/3 Satellite Observations Z. Deng et al. 10.34133/remotesensing.0445
274. Potential of solar-induced chlorophyll fluorescence for monitoring long-term dynamics of soil salinity in Central Asia the Xinjiang Region China K. Cui et al. 10.3389/fpls.2025.1603159
275. Exploring the Potential of Spatially Downscaled Solar-Induced Chlorophyll Fluorescence to Monitor Drought Effects on Gross Primary Production in Winter Wheat Q. Shen et al. 10.1109/JSTARS.2022.3148393
276. Downscaled Satellite Solar-Induced Chlorophyll Fluorescence Detects the Early Response of Sugarcane to Drought Stress in a Major Sugarcane-Planting Region of China N. Yang et al. 10.3390/rs15163937
277. Improved estimation of gross primary production with NIRvP by incorporating a phenophase scheme for temperate deciduous forest ecosystems J. Jin et al. 10.1016/j.foreco.2024.121742
278. Space-based quantification of per capita CO2 emissions from cities D. Wu et al. 10.1088/1748-9326/ab68eb
279. Climatic driving mechanisms of the propagation from meteorological drought to agricultural and ecological droughts C. Li et al. 10.1016/j.jenvman.2025.125445
280. How well do recently reconstructed solar-induced fluorescence datasets model gross primary productivity? A. Shekhar et al. 10.1016/j.rse.2022.113282
281. Tracking autumn photosynthetic phenology on Tibetan plateau grassland with the green–red vegetation index W. Li et al. 10.1016/j.agrformet.2023.109573
282. Linking Vegetation Phenology to Net Ecosystem Productivity: Climate Change Impacts in the Northern Hemisphere Using Satellite Data H. Yin et al. 10.3390/rs16214101
283. GRAiCE: reconstructing terrestrial water storage anomalies with recurrent neural networks I. Palazzoli et al. 10.1038/s41597-025-04403-3
284. A more precise retrieval of sun-induced chlorophyll fluorescence from satellite data using artificial neural networks D. Li et al. 10.1016/j.rse.2025.114987
285. Increasing Ecosystem Fluxes Observed from Eddy Covariance and Solar-Induced Fluorescence Data J. Zheng et al. 10.3390/rs17122064
286. COS-derived GPP relationships with temperature and light help explain high-latitude atmospheric CO 2 seasonal cycle amplification L. Hu et al. 10.1073/pnas.2103423118
287. GEOSIF: A continental-scale sub-daily reconstructed solar-induced fluorescence derived from OCO-3 and GK-2A over Eastern Asia and Oceania S. Jeong et al. 10.1016/j.rse.2024.114284
288. Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager S. Jeong et al. 10.1016/j.rse.2022.113365
289. An Operational Downscaling Method of Solar-Induced Chlorophyll Fluorescence (SIF) for Regional Drought Monitoring Z. Hong et al. 10.3390/agriculture12040547
290. Indicators of water use efficiency across diverse agroecosystems and spatiotemporal scales D. Hoover et al. 10.1016/j.scitotenv.2022.160992
291. A simple approach to enhance the TROPOMI solar-induced chlorophyll fluorescence product by combining with canopy reflected radiation at near-infrared band X. Liu et al. 10.1016/j.rse.2022.113341
292. Agricultural land management extends the duration of the impacts of extreme climate events on vegetation in double–cropping systems in the Yangtze–Huai plain China T. Chen et al. 10.1016/j.ecolind.2023.111488
293. Resilience of Sundarban mangroves in South Asia to weather extremes and anthropogenic water pollution T. Chauhan et al. 10.1088/2515-7620/ada675
294. Solar‐Induced Fluorescence Helps Constrain Global Patterns in Net Biosphere Exchange, as Estimated Using Atmospheric CO2 Observations M. Zhang et al. 10.1029/2023JG007703
295. Midwest US Croplands Determine Model Divergence in North American Carbon Fluxes W. Sun et al. 10.1029/2020AV000310
296. Characterizing seasonal lag relationship between leaf area index and solar-induced chlorophyll fluorescence in China J. Chen et al. 10.1016/j.agrformet.2025.110630
297. Downscaling Solar-Induced Chlorophyll Fluorescence Based on Convolutional Neural Network Method to Monitor Agricultural Drought Z. Zhang et al. 10.1109/TGRS.2020.2999371
298. Amazon rainforest photosynthesis increases in response to atmospheric dryness J. Green et al. 10.1126/sciadv.abb7232
299. Upscaling dryland carbon and water fluxes with artificial neural networks of optical, thermal, and microwave satellite remote sensing M. Dannenberg et al. 10.5194/bg-20-383-2023
300. The potential of NIRvP in estimating evapotranspiration C. Ersi et al. 10.1016/j.rse.2024.114405
301. Soil moisture dominates dryness stress on ecosystem production globally L. Liu et al. 10.1038/s41467-020-18631-1
302. Solar-Induced Chlorophyll Fluorescence Trends and Mechanisms in Different Ecosystems in Northeastern China M. Guo et al. 10.3390/rs14061329
303. Plant phenology changes and drivers on the Qinghai–Tibetan Plateau M. Shen et al. 10.1038/s43017-022-00317-5
304. Flash drought impacts on global ecosystems amplified by extreme heat L. Gu et al. 10.1038/s41561-025-01719-y
305. Towards a Harmonized Long‐Term Spaceborne Record of Far‐Red Solar‐Induced Fluorescence N. Parazoo et al. 10.1029/2019JG005289
306. Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data J. Jacobson et al. 10.3390/rs15164038
307. Warmer spring alleviated the impacts of 2018 European summer heatwave and drought on vegetation photosynthesis S. Wang et al. 10.1016/j.agrformet.2020.108195
308. Effects of slow temperature acclimation of photosynthesis on gross primary production estimation J. Bai et al. 10.1016/j.agrformet.2024.110197
309. Solar radiation shapes the spatial pattern of spring phenology on the Qinghai-Tibetan Plateau F. Meng et al. 10.1093/jpe/rtae114
310. CO2 fluxes of vegetation in the Greenbelt of Ontario and increased net ecosystem emissions associated with its removal S. Madsen et al. 10.1525/elementa.2023.00102
311. High‐Resolution Global Contiguous SIF of OCO‐2 L. Yu et al. 10.1029/2018GL081109
312. Modelling sun-induced fluorescence for improved evaluation of forest carbon flux (GPP): Case study of tropical deciduous forest, India S. Sinha et al. 10.1016/j.ecolmodel.2021.109552
313. Meteorological drivers of carbon flux variations on Xinglong Mountain in the transition zone between the Qinghai–Tibet and Loess Plateaus Z. Chen et al. 10.3389/fenvs.2025.1657389
314. Seasonal peak photosynthesis is hindered by late canopy development in northern ecosystems Q. Zhao et al. 10.1038/s41477-022-01278-9
315. A framework for harmonizing multiple satellite instruments to generate a long-term global high spatial-resolution solar-induced chlorophyll fluorescence (SIF) J. Wen et al. 10.1016/j.rse.2020.111644
316. Spatial variations in the response of spring onset of photosynthesis of evergreen vegetation to climate factors across the Tibetan Plateau: The roles of interactions between temperature, precipitation, and solar radiation L. Zhang et al. 10.1016/j.agrformet.2023.109440
317. Reversal of the sensitivity of vegetation productivity to precipitation in global terrestrial biomes over the recent decade W. Zhang et al. 10.1016/j.agrformet.2025.110598
318. Advancing diurnal analysis of vegetation responses to drought events in the Yangtze River Basin using next-generation satellite data T. Li et al. 10.1016/j.scitotenv.2024.178269
319. Machine learning methods for assessing photosynthetic activity: environmental monitoring applications S. Khruschev et al. 10.1007/s12551-022-00982-2
320. Generation of a Global Spatially Continuous TanSat Solar-Induced Chlorophyll Fluorescence Product by Considering the Impact of the Solar Radiation Intensity Y. Ma et al. 10.3390/rs12132167
321. Upscaling Solar-Induced Chlorophyll Fluorescence from an Instantaneous to Daily Scale Gives an Improved Estimation of the Gross Primary Productivity J. Hu et al. 10.3390/rs10101663
322. Mapping Photosynthesis Solely from Solar-Induced Chlorophyll Fluorescence: A Global, Fine-Resolution Dataset of Gross Primary Production Derived from OCO-2 X. Li & J. Xiao 10.3390/rs11212563
323. Emerging negative impact of warming on summer carbon uptake in northern ecosystems T. Wang et al. 10.1038/s41467-018-07813-7
324. Coupling between the terrestrial carbon and water cycles—a review P. Gentine et al. 10.1088/1748-9326/ab22d6
325. An improved downscaled sun-induced chlorophyll fluorescence (DSIF) product of GOME-2 dataset Y. Ma et al. 10.1080/22797254.2022.2028579