380 citations as recorded by crossref.

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24. More Accurate and Reliable Phenology Retrieval in Southwest China: Multi-Method Comparison and Uncertainty Analysis F. Tang et al.
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26. A cloud-computing framework for downscaled global 300 m SIF retrieval from Sentinel-3 and TROPOSIF Y. Zhang et al.
27. Higher vegetation sensitivity to meteorological drought in autumn than spring across European biomes H. Jin et al.
28. Decreased Sensitivity of Grassland Spring Phenology to Temperature on the Tibetan Plateau Z. Chen et al.
29. Sun-induced fluorescence as a proxy for primary productivity across vegetation types and climates M. Pickering et al.
30. Shifts in the trends of vegetation greenness and photosynthesis in different parts of Tibetan Plateau over the past two decades N. Anniwaer et al.
31. Solar-Induced Chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems R. Cheng
32. Wildfire probability assessment and analysis based on multi-source data in Guangxi Province, China K. Xu et al.
33. Positive asymmetric responses indicate larger carbon sink with increase in precipitation variability in global terrestrial ecosystems L. Dai et al.
34. Hybrid Machine Learning and Geostatistical Methods for Gap Filling and Predicting Solar-Induced Fluorescence Values J. Tadić et al.
35. Generating Daily High-Resolution Regional XCO2 by Deep Neural Network and Multi-Source Data W. Tian et al.
36. Mitigating the directional retrieval error of solar-induced chlorophyll fluorescence in the red band Z. Zhang & Y. Zhang
37. Phenological Characteristics of Global Ecosystems Based on Optical, Fluorescence, and Microwave Remote Sensing M. Dannenberg et al.
38. Changes in peak greenness timing and senescence duration codetermine the responses of leaf senescence date to drought over Mongolian grassland W. Bai et al.
39. Downscaling Solar-Induced Chlorophyll Fluorescence to a 0.05° Monthly Product Using AVHRR Data in East Asia (1995–2003) Y. Jin et al.
40. Shifting from a thermal-constrained to water-constrained ecosystem over the Tibetan Plateau C. Xu et al.
41. Extraction of sub-pixel C3/C4 emissions of solar-induced chlorophyll fluorescence (SIF) using artificial neural network O. Kira & Y. Sun
42. Using atmospheric observations to quantify annual biogenic carbon dioxide fluxes on the Alaska North Slope L. Schiferl et al.
43. 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.
44. Land cover and latitude affect vegetation phenology determined from solar induced fluorescence across Ontario, Canada C. Rogers & J. Chen
45. Coupling GEDI LiDAR and Optical Satellite for Revealing Large‐Scale Maize Lodging in Northeast China Q. Zhang et al.
46. UFLUX-GPP: A Cost-Effective Framework for Quantifying Daily Terrestrial Ecosystem Carbon Uptake Using Satellite Data S. Zhu et al.
47. Comparison of Spring Phenology from Solar-Induced Chlorophyll Fluorescence, Vegetation Index, and Ground Observations in Boreal Forests D. Shi et al.
48. A Framework to Assess the Potential Uncertainties of Three FPAR Products X. Chen et al.
49. 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.
50. Evaluation of annual trends in carbon cycle variables simulated by CMIP6 Earth system models in China Z. Li et al.
51. 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.
52. Satellite-based reflectances capture large fraction of variability in global gross primary production (GPP) at weekly time scales J. Joiner & Y. Yoshida
53. 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.
54. Response of alpine vegetation function to climate change in the Tibetan Plateau: A perspective from solar-induced chlorophyll fluorescence Y. Luo et al.
55. Research on downscaling method of the enhanced TROPOMI solar-induced chlorophyll fluorescence data X. Lu et al.
56. Combining sun-induced chlorophyll fluorescence and seasonal climate forecast for 8-day dynamic in-season crop yield prediction C. Lu et al.
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61. QeRSIF: a quality-enhanced red solar-induced chlorophyll fluorescence dataset for TROPOMI satellite Y. Du et al.
62. Increased Global Vegetation Productivity Despite Rising Atmospheric Dryness Over the Last Two Decades Y. Song et al.
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64. Phenology-Aligned multi-task temporal fusion framework for satellite-based triple-seasonal rice yield estimation in Southeast Asia Z. Lin et al.
65. Simulating the root-to-shoot ratio of natural grassland biomass in China by the AutoGluon framework R. Guo et al.
66. Temperature-VPD-evapotranspiration interactions modulated asynchronous dynamics of vegetation photosynthesis and net ecosystem production in Eurasia R. Yang et al.
67. Bidirectional drought‐related canopy dynamics across pantropical forests: a satellite‐based statistical analysis L. Liu et al.
68. Responding time scales of vegetation production to extreme droughts over China Y. Deng et al.
69. High spatial resolution solar-induced chlorophyll fluorescence and its relation to rainfall precipitation across Brazilian ecosystems L. da Costa et al.
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72. Divergent Estimates of Forest Photosynthetic Phenology Using Structural and Physiological Vegetation Indices G. Yin et al.
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74. Divergent response of crops and natural vegetation to the record-breaking extreme precipitation event in 2020 modulated by topography J. Chen et al.
75. Forecasting of Fine-Grained SIF of OCO-2 Using Multi-source Data and AI-Based Techniques S. Pais et al.
76. Proximal Measurements of Solar-Induced Fluorescence and Surface Reflectance Capture Seasonal Productivity and Drought Stress Dynamics in a Semiarid Grassland Ecosystem X. Wang et al.
77. Daily global transpiration estimation (2001–2018) by integrating satellite solar-induced fluorescence and spatially heterogeneous slope parameter in a conductance-photosynthesis model J. Jin et al.
78. A critical review of methods, principles and progress for estimating the gross primary productivity of terrestrial ecosystems Z. Liao et al.
79. Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals W. He et al.
80. Enhancing CYGNSS Soil Moisture Retrieval Accuracy by Considering the Lag Effect of Sun-Induced Fluorescence J. Liu et al.
81. 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.
82. Modeling of winter wheat yield prediction based on solar-induced chlorophyll fluorescence by machine learning methods M. Zheng et al.
83. Warmer climate disrupts the trade-off between post-fire loss and recovery of grassland GPP G. Cui et al.
84. The photosynthetic response of spectral chlorophyll fluorescence differs across species and light environments in a boreal forest ecosystem P. Rajewicz et al.
85. AmeriFlux: Its Impact on our understanding of the ‘breathing of the biosphere’, after 25 years D. Baldocchi et al.
86. Impact of Rising Compound Drought and Heatwaves on Vegetation in Global Drylands C. Wang et al.
87. A Method to Weaken Cloud Interference in Solar-Induced Chlorophyll Fluorescence (SIF) Reconstruction by Using Satellite VOD Observations J. Ding et al.
88. Flash flourishing of Northern Hemisphere vegetation and its drivers X. Kong et al.
89. Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches J. Cao et al.
90. Climate change increases carbon allocation to leaves in early leaf green‐up F. Meng et al.
91. Increasing trend in ecosystem-scale photosynthetic efficiency in the Yellow River Basin since 2000 caused by afforestation and climate change B. Wang et al.
92. Contrasting responses of relationship between solar-induced fluorescence and gross primary production to drought across aridity gradients R. Qiu et al.
93. 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.
94. 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.
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98. Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine Learning Approaches L. Zhang et al.
99. Estimating evapotranspiration using remotely sensed solar-induced fluorescence measurements K. Zhou et al.
100. Recent global decline of CO 2 fertilization effects on vegetation photosynthesis S. Wang et al.
101. 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.
102. CSIF and GOSIF Do Not Accurately Capture the Vegetation Greening During the Spring of 2020 Y. Du et al.
103. A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022 S. Tao et al.
104. 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.
105. Combining Solar-Induced Chlorophyll Fluorescence and Optical Vegetation Indices to Better Understand Plant Phenological Responses to Global Change Y. Zhang & J. Peñuelas
106. DTSIF: A machine learning-based downscaling TROPOMI solar-induced chlorophyll fluorescence dataset with high spatiotemporal resolution during 2002–2024 in Huang-Huai-Hai region, China R. Chu et al.
107. Improve the Performance of the Noah‐MP‐Crop Model by Jointly Assimilating Soil Moisture and Vegetation Phenology Data T. Xu et al.
108. Estimation of post-fire vegetation recovery in boreal forests using solar-induced chlorophyll fluorescence (SIF) data M. Guo et al.
109. Global Analysis of the Relationship between Reconstructed Solar-Induced Chlorophyll Fluorescence (SIF) and Gross Primary Production (GPP) H. Gao et al.
110. Historical spatiotemporal trends in global mangrove productivity and its response to the environment: Perspectives from multiple satellite-based productivity proxies Q. Liu et al.
111. Susceptibility of vegetation low-growth to climate extremes on Tibetan Plateau Y. Zhang et al.
112. Intensified Structural Overshoot Aggravates Drought Impacts on Dryland Ecosystems Y. Zhang et al.
113. Global vegetation dynamics under decreased terrestrial water storage: Insights into water stress response Y. Yang et al.
114. Variation of gross primary productivity dominated by leaf area index in significantly greening area X. Chen et al.
115. Warm and wet spring compensated for the reduction in carbon sinks due to an extreme summer heatwave-drought event in 2022 in southern China Y. Zhang et al.
116. Improving photosynthetic phenology detection by incorporating vegetation index with meteorological factors Y. Kuang et al.
117. BO-CNN-BiLSTM deep learning model integrating multisource remote sensing data for improving winter wheat yield estimation L. Zhang et al.
118. Terrestrial CO2 exchange diagnosis using a peatland-optimized vegetation photosynthesis and respiration model (VPRM) for the Hudson Bay Lowlands O. Balogun et al.
119. Progress of studies on satellite-based terrestrial vegetation production models in China W. Yuan et al.
120. Can Data Assimilation Improve Short-Term Prediction of Land Surface Variables? Y. Tian et al.
121. Limited capability of current satellite solar-induced chlorophyll fluorescence reconstructions to capture stomatal responses to environmental stresses J. Zhao et al.
122. Modeling plant phenology by MODIS derived photochemical reflectance index (PRI) Y. Liu et al.
123. Magnitude and direction of green-up date in response to drought depend on background climate over Mongolian grassland W. Bai et al.
124. Simulating spatially distributed solar-induced chlorophyll fluorescence using a BEPS-SCOPE coupling framework T. Cui et al.
125. How does canopy height regulate autumn photosynthetic phenology in the Northern Hemisphere? R. Tang et al.
126. Soil moisture determines the maximum drought loss to vegetation in Central Asia Z. Li et al.
127. Light limitation regulates the response of autumn terrestrial carbon uptake to warming Y. Zhang et al.
128. 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.
129. A Spatial Downscaling Method for Solar-Induced Chlorophyll Fluorescence Product Using Random Forest Regression and Drought Monitoring in Henan Province Z. Zhang et al.
130. Generation of a global, daily, spatiotemporally seamless solar-induced chlorophyll fluorescence dataset from 2018 to 2021 J. Li et al.
131. Projection of terrestrial drought evolution and its eco-hydrological effects in China Y. Yang et al.
132. Using solar-induced chlorophyll fluorescence to predict winter wheat actual evapotranspiration through machine learning and deep learning methods Y. Li et al.
133. Attribution of vegetation fluorescence changes in China based on a decision tree stratification strategy Z. Yu et al.
134. On the mechanisms that control the rainy season transition period in the southern Congo Basin S. Worden & R. Fu
135. Multiple Greenness Indexes Revealed the Vegetation Greening during the Growing Season and Winter on the Tibetan Plateau despite Regional Variations J. Lv et al.
136. Warming Diminishes the Day–Night Discrepancy in the Apparent Temperature Sensitivity of Ecosystem Respiration N. Li et al.
137. Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction B. Peng et al.
138. 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.
139. Declined benefit of earlier spring greening on summer growth in northern ecosystems under future scenarios Z. Huang et al.
140. Diminishing carryover benefits of earlier spring vegetation growth X. Lian et al.
141. Disentangling vegetation physiological responses under extreme drought in the Amazon Rainforest: A multispectral remote sensing approach with insights from ET, SIF, and VOD X. Zhang et al.
142. Northern ecosystem productivity reduced by Rossby-wave-driven hot–dry conditions X. Lian et al.
143. Winter snow cover influences growing-season vegetation productivity non-uniformly in the Northern Hemisphere H. Liu et al.
144. 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.
145. Divergent trends of ecosystem‐scale photosynthetic efficiency between arid and humid lands across the globe F. Wei et al.
146. Remotely Monitoring Vegetation Productivity in Two Contrasting Subtropical Forest Ecosystems Using Solar-Induced Chlorophyll Fluorescence G. Liu et al.
147. 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.
148. Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al.
149. Ecosystem drought recovery and influencing factors in temperate China and the Qinghai-Tibet alpine region Y. Sun et al.
150. 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
151. 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.
152. 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.
153. Quantifying the accuracy of cos(SZA)-based upscaling from instantaneous to daily GPP: Implications for improving satellite-based SIF and GPP retrievals F. Xu et al.
154. Improved estimation of gross primary production with NIRvP by incorporating a phenophase scheme for temperate deciduous forest ecosystems J. Jin et al.
155. OSRNet: A One-Step Learned Spatial Redistribution Convolutional Neural Network for Satellite SIF Downscaling J. Hu et al.
156. Space-based quantification of per capita CO2 emissions from cities D. Wu et al.
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158. How well do recently reconstructed solar-induced fluorescence datasets model gross primary productivity? A. Shekhar et al.
159. Tracking autumn photosynthetic phenology on Tibetan plateau grassland with the green–red vegetation index W. Li et al.
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161. COS-derived GPP relationships with temperature and light help explain high-latitude atmospheric CO 2 seasonal cycle amplification L. Hu et al.
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170. Solar‐Induced Fluorescence Helps Constrain Global Patterns in Net Biosphere Exchange, as Estimated Using Atmospheric CO2 Observations M. Zhang et al.
171. Characterizing seasonal lag relationship between leaf area index and solar-induced chlorophyll fluorescence in China J. Chen et al.
172. Downscaling Solar-Induced Chlorophyll Fluorescence Based on Convolutional Neural Network Method to Monitor Agricultural Drought Z. Zhang et al.
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178. Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data J. Jacobson et al.
179. Combining multi-source data, phenology information, and machine learning approaches to estimate crop yield in the United States Z. Ji et al.
180. Improving reference crop evapotranspiration estimation using Solar-Induced chlorophyll fluorescence R. Wang et al.
181. High‐Resolution Global Contiguous SIF of OCO‐2 L. Yu et al.
182. Modelling sun-induced fluorescence for improved evaluation of forest carbon flux (GPP): Case study of tropical deciduous forest, India S. Sinha et al.
183. Anthropogenically-driven escalating impact of soil-based compound dry-hot extremes on vegetation productivity Y. Liang et al.
184. Reversal of the sensitivity of vegetation productivity to precipitation in global terrestrial biomes over the recent decade W. Zhang et al.
185. Advancing diurnal analysis of vegetation responses to drought events in the Yangtze River Basin using next-generation satellite data T. Li et al.
186. 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.
187. Crop water origins and hydroclimate vulnerability of global croplands Y. Jiang & J. Burney
188. Global modeling diurnal gross primary production from OCO-3 solar-induced chlorophyll fluorescence Z. Zhang et al.
189. Future socio-ecosystem productivity threatened by compound drought–heatwave events J. Yin et al.
190. A Shift From Temperature to Water as the Primary Driver for Interannual Variability of the Tropical Carbon Cycle B. He et al.
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194. Remote Sensing of Seasonal Climatic Constraints on Leaf Phenology Across Pantropical Evergreen Forest Biome Q. Li et al.
195. Using Multisource Data and Time Series Features to Construct a Global Terrestrial CO₂ Coverage by Deep Learning W. Tian et al.
196. Substantial Reduction in Vegetation Photosynthesis Capacity during Compound Droughts in the Three-River Headwaters Region, China J. Miao et al.
197. 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.
198. A shift in the dominant role of atmospheric vapor pressure deficit and soil moisture on vegetation greening in China Y. Cheng et al.
199. 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.
200. Seasonal variations in vegetation water content retrieved from microwave remote sensing over Amazon intact forests H. Wang et al.
201. Worldwide impacts of atmospheric vapor pressure deficit on the interannual variability of terrestrial carbon sinks B. He et al.
202. Spring and autumn phenology across the Tibetan Plateau inferred from normalized difference vegetation index and solar-induced chlorophyll fluorescence F. Meng et al.
203. Energy shortages undermine agricultural drought resistance in the Democratic People’s Republic of Korea Q. Zhang et al.
204. Earlier spring onset and autumn warming increase the discrepancy between leaf coloration and photosynthetic cessation H. Yu et al.
205. Exploring the Best-Matching Plant Traits and Environmental Factors for Vegetation Indices in Estimates of Global Gross Primary Productivity W. Zhao & Z. Zhu
206. Matching Satellite Sun-Induced Chlorophyll Fluorescence to Flux Footprints Improves Its Relationship with Gross Primary Productivity L. Zhao et al.
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208. Global L-band equivalent AI-based vegetation optical depth dataset O. Skulovich et al.
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211. Variability of Remotely Sensed Solar-Induced Chlorophyll Fluorescence in Relation to Climate Indices K. He et al.
212. Climate change is enforcing physiological changes in Arctic Ecosystems N. Madani et al.
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216. 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.
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222. 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.
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225. Continuous frost causes a greater reduction in forest growth than isolated frost in the Northern Hemisphere H. Yang et al.
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