148 citations as recorded by crossref.

1. TCSIF: a temporally consistent global Global Ozone Monitoring Experiment-2A (GOME-2A) solar-induced chlorophyll fluorescence dataset with the correction of sensor degradation C. Zou et al. 10.5194/essd-16-2789-2024
2. 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
3. Combining near-infrared radiance of vegetation and fluorescence spectroscopy to detect effects of abiotic changes and stresses Y. Zeng et al. 10.1016/j.rse.2021.112856
4. Opportunities and challenges of applications of satellite-derived sun-induced fluorescence at relatively high spatial resolution X. Lu et al. 10.1016/j.scitotenv.2017.11.158
5. Remote sensing of plant-water relations: An overview and future perspectives A. Damm et al. 10.1016/j.jplph.2018.04.012
6. Assessing the Response of Satellite Solar-Induced Chlorophyll Fluorescence and NDVI to Impacts of Heat Waves on Winter Wheat in the North China Plain C. Xian et al. 10.1155/2020/8873534
7. Estimating sowing dates from satellite data over the U.S. Midwest: A comparison of multiple sensors and metrics D. Urban et al. 10.1016/j.rse.2018.03.039
8. Modeling leaf CO2 assimilation and Photosystem II photochemistry from chlorophyll fluorescence and the photochemical reflectance index K. Hikosaka & H. Noda 10.1111/pce.13461
9. Combination of Vegetation Indices and SIF Can Better Track Phenological Metrics and Gross Primary Production C. Zheng et al. 10.1029/2022JG007315
10. On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals Y. Zhang et al. 10.1016/j.rse.2017.12.009
11. Systematic Orbital Geometry-Dependent Variations in Satellite Solar-Induced Fluorescence (SIF) Retrievals J. Joiner et al. 10.3390/rs12152346
12. Optical vegetation indices for monitoring terrestrial ecosystems globally Y. Zeng et al. 10.1038/s43017-022-00298-5
13. Addressing validation challenges for TROPOMI solar-induced chlorophyll fluorescence products using tower-based measurements and an NIRv-scaled approach S. Du et al. 10.1016/j.rse.2023.113547
14. 植被日光诱导叶绿素荧光高光谱成像仪研究（特邀） 于. Yu Lei et al. 10.3788/LOP232182
15. Integrating SIF and Clearness Index to Improve Maize GPP Estimation Using Continuous Tower-Based Observations J. Chen et al. 10.3390/s20092493
16. Widespread reduction in sun-induced fluorescence from the Amazon during the 2015/2016 El Niño G. Koren et al. 10.1098/rstb.2017.0408
17. Evaluation of SIF retrievals from narrow-band and sub-nanometer airborne hyperspectral imagers flown in tandem: Modelling and validation in the context of plant phenotyping A. Belwalkar et al. 10.1016/j.rse.2022.112986
18. Using reflectance to explain vegetation biochemical and structural effects on sun-induced chlorophyll fluorescence P. Yang et al. 10.1016/j.rse.2018.11.039
19. Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data D. Yan et al. 10.1016/j.rse.2018.12.029
20. The Orbiting Carbon Observatory-2 early science investigations of regional carbon dioxide fluxes A. Eldering et al. 10.1126/science.aam5745
21. Optimizing the Empirical Parameters of the Data-Driven Algorithm for SIF Retrieval for SIFIS Onboard TECIS-1 Satellite C. Zou et al. 10.3390/s21103482
22. First Investigation of the Relationship Between Solar-Induced Chlorophyll Fluorescence Observed by TanSat and Gross Primary Productivity S. Du et al. 10.1109/JSTARS.2021.3128355
23. Differences Between OCO‐2 and GOME‐2 SIF Products From a Model‐Data Fusion Perspective C. Bacour et al. 10.1029/2018JG004938
24. Estimation of global ecosystem isohydricity from solar-induced chlorophyll fluorescence and meteorological datasets J. Xue et al. 10.1016/j.rse.2024.114168
25. 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
26. The Solar-Induced Chlorophyll Fluorescence Imaging Spectrometer (SIFIS) Onboard the First Terrestrial Ecosystem Carbon Inventory Satellite (TECIS-1): Specifications and Prospects S. Du et al. 10.3390/s20030815
27. Small anomalies in dry-season greenness and chlorophyll fluorescence for Amazon moist tropical forests during El Niño and La Niña R. Doughty et al. 10.1016/j.rse.2020.112196
28. A linear method for the retrieval of sun-induced chlorophyll fluorescence from GOME-2 and SCIAMACHY data P. Köhler et al. 10.5194/amt-8-2589-2015
29. Seasonal patterns of canopy photosynthesis captured by remotely sensed sun-induced fluorescence and vegetation indexes in mid-to-high latitude forests: A cross-platform comparison X. Lu et al. 10.1016/j.scitotenv.2018.06.269
30. Non-linearity between gross primary productivity and far-red solar-induced chlorophyll fluorescence emitted from canopies of major biomes Y. Liu et al. 10.1016/j.rse.2022.112896
31. Response of Vegetation Productivity to Greening and Drought in the Loess Plateau Based on VIs and SIF X. Hou et al. 10.3390/f15020339
32. Improving Winter Wheat Yield Forecasting Based on Multi-Source Data and Machine Learning Y. Sun et al. 10.3390/agriculture12050571
33. Global enhanced vegetation photosynthesis in urban environment and its drivers revealed by satellite solar-induced chlorophyll fluorescence data S. Wang et al. 10.1016/j.agrformet.2023.109622
34. Sun-induced fluorescence closely linked to ecosystem transpiration as evidenced by satellite data and radiative transfer models W. Maes et al. 10.1016/j.rse.2020.112030
35. Remote Sensing of Chlorophyll Fluorescence in the Ocean Using Imaging Spectrometry: Toward a Vertical Profile of Fluorescence Z. Erickson et al. 10.1029/2018GL081273
36. Retrieval of sun-induced fluorescence using advanced spectral fitting methods S. Cogliati et al. 10.1016/j.rse.2015.08.022
37. Drought onset mechanisms revealed by satellite solar‐induced chlorophyll fluorescence: Insights from two contrasting extreme events Y. Sun et al. 10.1002/2015JG003150
38. Local interpretation of machine learning models in remote sensing with SHAP: the case of global climate constraints on photosynthesis phenology A. Descals et al. 10.1080/01431161.2023.2217982
39. Improving the monitoring of crop productivity using spaceborne solar‐induced fluorescence K. Guan et al. 10.1111/gcb.13136
40. Coupling between the terrestrial carbon and water cycles—a review P. Gentine et al. 10.1088/1748-9326/ab22d6
41. Evaluation of drought using satellite solar-induced chlorophyll fluorescence during crop development stage over Xinjiang, China S. Pandiyan et al. 10.1016/j.measurement.2021.110327
42. Chlorophyll Fluorescence Better Captures Seasonal and Interannual Gross Primary Productivity Dynamics Across Dryland Ecosystems of Southwestern North America W. Smith et al. 10.1002/2017GL075922
43. Retrieval of Red Solar-Induced Chlorophyll Fluorescence With TROPOMI on the Sentinel-5 Precursor Mission F. Zhao et al. 10.1109/TGRS.2022.3162726
44. Unraveling the spatial-temporal patterns of typhoon impacts on maize during the milk stage in Northeast China in 2020 Q. Zhang et al. 10.1016/j.eja.2024.127169
45. The superiority of solar-induced chlorophyll fluorescence sensitivity over other vegetation indices to drought Q. Liu et al. 10.1016/j.jaridenv.2022.104787
46. Analysing far-red SIF directional anisotropy of three structurally contrasting forest canopies towards improved GPP estimation W. Liu et al. 10.1016/j.agrformet.2023.109531
47. Large loss and rapid recovery of vegetation cover and aboveground biomass over forest areas in Australia during 2019–2020 Y. Qin et al. 10.1016/j.rse.2022.113087
48. EUROSPEC: at the interface between remote-sensing and ecosystem CO<sub>2</sub> flux measurements in Europe A. Porcar-Castell et al. 10.5194/bg-12-6103-2015
49. Spatially downscaling sun-induced chlorophyll fluorescence leads to an improved temporal correlation with gross primary productivity G. Duveiller & A. Cescatti 10.1016/j.rse.2016.04.027
50. Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al. 10.5194/bg-14-3401-2017
51. Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview R. Imasu et al. 10.1186/s40645-023-00562-2
52. Simulation of solar-induced chlorophyll fluorescence by modeling radiative coupling between vegetation and atmosphere with WPS F. Zhao et al. 10.1016/j.rse.2022.113075
53. Estimation of Terrestrial Global Gross Primary Production (GPP) with Satellite Data-Driven Models and Eddy Covariance Flux Data J. Joiner et al. 10.3390/rs10091346
54. HSIS-SIF a high-performance hyperspectral imaging spectrometer for Solar-Induced Chlorophyll Fluorescence of vegetation T. Wang et al. 10.1016/j.optlaseng.2024.108347
55. Comparison of Bi-Hemispherical and Hemispherical-Conical Configurations for In Situ Measurements of Solar-Induced Chlorophyll Fluorescence Q. Zhang et al. 10.3390/rs11222642
56. The influence of vegetation drought stress on formaldehyde and ozone distributions over a central European city H. Trimmel et al. 10.1016/j.atmosenv.2023.119768
57. Prospects for Solar-Induced Chlorophyll Fluorescence Remote Sensing from the SIFIS Payload Onboard the TECIS-1 Satellite S. Du et al. 10.34133/2022/9845432
58. 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
59. 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
60. Is satellite Sun-Induced Chlorophyll Fluorescence more indicative than vegetation indices under drought condition? J. Cao et al. 10.1016/j.scitotenv.2021.148396
61. Satellite solar-induced chlorophyll fluorescence and near-infrared reflectance capture complementary aspects of dryland vegetation productivity dynamics X. Wang et al. 10.1016/j.rse.2021.112858
62. 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
63. Review of Top-of-Canopy Sun-Induced Fluorescence (SIF) Studies from Ground, UAV, Airborne to Spaceborne Observations S. Bandopadhyay et al. 10.3390/s20041144
64. New methods for the retrieval of chlorophyll red fluorescence from hyperspectral satellite instruments: simulations and application to GOME-2 and SCIAMACHY J. Joiner et al. 10.5194/amt-9-3939-2016
65. Solar‐induced chlorophyll fluorescence is strongly correlated with terrestrial photosynthesis for a wide variety of biomes: First global analysis based on OCO‐2 and flux tower observations X. Li et al. 10.1111/gcb.14297
66. Uncertainty analysis of SVD-based spaceborne far–red sun-induced chlorophyll fluorescence retrieval using TanSat satellite data S. Li et al. 10.1016/j.jag.2021.102517
67. Space-borne air pollution observation from Sentinel-5p Tropomi: relationship between pollutants, geographical and demographic data G. KAPLAN & Z. YİGİT AVDAN 10.26833/ijeg.644089
68. Spatiotemporal estimation of TROPOMI NO2 column with depthwise partial convolutional neural network Y. Lops et al. 10.1007/s00521-023-08558-1
69. Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches Y. Cai et al. 10.1016/j.agrformet.2019.03.010
70. The High-Performance Airborne Imaging Spectrometer HyPlant—From Raw Images to Top-of-Canopy Reflectance and Fluorescence Products: Introduction of an Automatized Processing Chain B. Siegmann et al. 10.3390/rs11232760
71. A novel restoration approach for vegetation reflectance spectra at noisy bands using the principal component analysis method B. Song et al. 10.1080/01431161.2019.1688415
72. Retrieval of solar-induced chlorophyll fluorescence (SIF) from satellite measurements: comparison of SIF between TanSat and OCO-2 L. Yao et al. 10.5194/amt-15-2125-2022
73. Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV N. Wang et al. 10.1016/j.jag.2020.102276
74. Solar‐Induced Fluorescence Detects Interannual Variation in Gross Primary Production of Coniferous Forests in the Western United States L. Zuromski et al. 10.1029/2018GL077906
75. Solar-induced chlorophyll fluorescence from the Geostationary Carbon Cycle Observatory (GeoCarb): An extensive simulation study P. Somkuti et al. 10.1016/j.rse.2021.112565
76. Spaceborne Sun-Induced Vegetation Fluorescence Time Series from 2007 to 2015 Evaluated with Australian Flux Tower Measurements A. Sanders et al. 10.3390/rs8110895
77. Modelling sun-induced fluorescence and photosynthesis with a land surface model at local and regional scales in northern Europe T. Thum et al. 10.5194/bg-14-1969-2017
78. Examining the status of improved air quality in world cities due to COVID-19 led temporary reduction in anthropogenic emissions S. Sannigrahi et al. 10.1016/j.envres.2021.110927
79. Towards a Harmonized Long‐Term Spaceborne Record of Far‐Red Solar‐Induced Fluorescence N. Parazoo et al. 10.1029/2019JG005289
80. Simulating spatially distributed solar-induced chlorophyll fluorescence using a BEPS-SCOPE coupling framework T. Cui et al. 10.1016/j.agrformet.2020.108169
81. Spatial Variation of NO2 and Its Impact Factors in China: An Application of Sentinel-5P Products Z. Zheng et al. 10.3390/rs11161939
82. 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
83. Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment A. Dikshit et al. 10.1016/j.gsf.2024.101815
84. SIFSpec: Measuring Solar-Induced Chlorophyll Fluorescence Observations for Remote Sensing of Photosynthesis S. Du et al. 10.3390/s19133009
85. Reconstructed Solar‐Induced Fluorescence: A Machine Learning Vegetation Product Based on MODIS Surface Reflectance to Reproduce GOME‐2 Solar‐Induced Fluorescence P. Gentine & S. Alemohammad 10.1002/2017GL076294
86. 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
87. Global photosynthetic capacity of C3 biomes retrieved from solar-induced chlorophyll fluorescence and leaf chlorophyll content Y. Liu et al. 10.1016/j.rse.2023.113457
88. Improved Vegetation Photosynthetic Phenology Monitoring in the Northern Ecosystems Using Total Canopy Solar‐Induced Chlorophyll Fluorescence Derived From TROPOMI H. Liu et al. 10.1029/2022JG007369
89. Satellite chlorophyll fluorescence measurements reveal large‐scale decoupling of photosynthesis and greenness dynamics in boreal evergreen forests S. Walther et al. 10.1111/gcb.13200
90. Fluorescence Correction Vegetation Index (FCVI): A physically based reflectance index to separate physiological and non-physiological information in far-red sun-induced chlorophyll fluorescence P. Yang et al. 10.1016/j.rse.2020.111676
91. Predicting air quality via multimodal AI and satellite imagery A. Rowley & O. Karakuş 10.1016/j.rse.2023.113609
92. A Novel Principal Component Analysis Method for the Reconstruction of Leaf Reflectance Spectra and Retrieval of Leaf Biochemical Contents L. Liu et al. 10.3390/rs9111113
93. Satellite Chlorophyll Fluorescence and Soil Moisture Observations Lead to Advances in the Predictive Understanding of Global Terrestrial Coupled Carbon‐Water Cycles B. Qiu et al. 10.1002/2017GB005744
94. Do all chlorophyll fluorescence emission wavelengths capture the spring recovery of photosynthesis in boreal evergreen foliage? C. Zhang et al. 10.1111/pce.13620
95. Analysis and forecasting of air quality index based on satellite data T. Singh et al. 10.1080/08958378.2022.2164388
96. 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
97. Spatiotemporal Analysis of NO2 Production Using TROPOMI Time-Series Images and Google Earth Engine in a Middle Eastern Country H. Rabiei-Dastjerdi et al. 10.3390/rs14071725
98. Retrieving Sun-Induced Chlorophyll Fluorescence from Hyperspectral Data with TanSat Satellite S. Li et al. 10.3390/s21144886
99. Impacts of drought and heatwave on the terrestrial ecosystem in China as revealed by satellite solar-induced chlorophyll fluorescence X. Wang et al. 10.1016/j.scitotenv.2019.133627
100. Global Retrievals of Solar‐Induced Chlorophyll Fluorescence at Red Wavelengths With TROPOMI P. Köhler et al. 10.1029/2020GL087541
101. TROPOMI SIF reveals large uncertainty in estimating the end of plant growing season from vegetation indices data in the Tibetan Plateau J. Yang et al. 10.1016/j.rse.2022.113209
102. Assessing Vegetation Function with Imaging Spectroscopy J. Gamon et al. 10.1007/s10712-019-09511-5
103. Exploring the physiological information of Sun-induced chlorophyll fluorescence through radiative transfer model inversion M. Celesti et al. 10.1016/j.rse.2018.05.013
104. Enhanced drought detection and monitoring using sun-induced chlorophyll fluorescence over Hulun Buir Grassland, China Y. Liu et al. 10.1016/j.scitotenv.2021.145271
105. Unveiling Air Pollution in Crimean Mountain Rivers: Analysis of Sentinel-5 Satellite Images Using Google Earth Engine (GEE) V. Tabunschik et al. 10.3390/rs15133364
106. Combining Sun-Induced Chlorophyll Fluorescence and Photochemical Reflectance Index Improves Diurnal Modeling of Gross Primary Productivity A. Schickling et al. 10.3390/rs8070574
107. Detecting drought-induced GPP spatiotemporal variabilities with sun-induced chlorophyll fluorescence during the 2009/2010 droughts in China S. Chen et al. 10.1016/j.ecolind.2020.107092
108. Air quality in the New Delhi metropolis under COVID-19 lockdown D. Kaloni et al. 10.1016/j.sasc.2022.200035
109. Global‐Scale Consistency of Spaceborne Vegetation Indices, Chlorophyll Fluorescence, and Photosynthesis R. Doughty et al. 10.1029/2020JG006136
110. Solar-induced chlorophyll fluorescence imaging spectrometer: design, manufacture, and evaluation L. Yu et al. 10.1364/OE.473782
111. Satellite sun‐induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo‐Gangetic Plains L. Song et al. 10.1111/gcb.14302
112. Estimation of Chlorophyll Fluorescence at Different Scales: A Review Z. Ni et al. 10.3390/s19133000
113. Global retrieval of the spectrum of terrestrial chlorophyll fluorescence: First results with TROPOMI F. Zhao et al. 10.1016/j.rse.2023.113903
114. Investigating the Potential Accuracy of Spaceborne Solar-Induced Chlorophyll Fluorescence Retrieval for 12 Capable Satellites Based on Simulation Data C. Zou et al. 10.1109/TGRS.2022.3210185
115. Analysis of the Spatial–Temporal Distribution Characteristics of NO2 and Their Influencing Factors in the Yangtze River Delta Based on Sentinel-5P Satellite Data X. Guo et al. 10.3390/atmos13111923
116. Estimating near-infrared reflectance of vegetation from hyperspectral data Y. Zeng et al. 10.1016/j.rse.2021.112723
117. The 2010 Russian drought impact on satellite measurements of solar-induced chlorophyll fluorescence: Insights from modeling and comparisons with parameters derived from satellite reflectances Y. Yoshida et al. 10.1016/j.rse.2015.06.008
118. Correcting Clear‐Sky Bias in Gross Primary Production Modeling From Satellite Solar‐Induced Chlorophyll Fluorescence Data Z. Zhang et al. 10.1029/2020JG005822
119. Comparison of Phenological Parameters Extracted from SIF, NDVI and NIRv Data on the Mongolian Plateau C. Ersi et al. 10.3390/rs15010187
120. Overview of Solar-Induced chlorophyll Fluorescence (SIF) from the Orbiting Carbon Observatory-2: Retrieval, cross-mission comparison, and global monitoring for GPP Y. Sun et al. 10.1016/j.rse.2018.02.016
121. tri-PRI: A three band reflectance index tracking dynamic photoprotective mechanisms in a mature eucalypt forest W. Woodgate et al. 10.1016/j.agrformet.2019.03.020
122. 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
123. Tundra photosynthesis captured by satellite‐observed solar‐induced chlorophyll fluorescence K. Luus et al. 10.1002/2016GL070842
124. Reconstruction of the full spectrum of solar-induced chlorophyll fluorescence: Intercomparison study for a novel method F. Zhao et al. 10.1016/j.rse.2018.10.021
125. Spatially-explicit monitoring of crop photosynthetic capacity through the use of space-based chlorophyll fluorescence data Y. Zhang et al. 10.1016/j.rse.2018.03.031
126. Improved SIFTER v2 algorithm for long-term GOME-2A satellite retrievals of fluorescence with a correction for instrument degradation E. van Schaik et al. 10.5194/amt-13-4295-2020
127. 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
128. Global Retrievals of Solar‐Induced Chlorophyll Fluorescence With TROPOMI: First Results and Intersensor Comparison to OCO‐2 P. Köhler et al. 10.1029/2018GL079031
129. Effects of Low Temperature on the Relationship between Solar-Induced Chlorophyll Fluorescence and Gross Primary Productivity across Different Plant Function Types J. Chen et al. 10.3390/rs14153716
130. OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence Y. Sun et al. 10.1126/science.aam5747
131. Feasibility of Using MODIS Products to Simulate Sun-Induced Chlorophyll Fluorescence (SIF) in Boreal Forests M. Guo et al. 10.3390/rs12040680
132. Seasonality of Tropical Photosynthesis: A Pantropical Map of Correlations With Precipitation and Radiation and Comparison to Model Outputs M. Uribe et al. 10.1029/2020JG006123
133. 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
134. The FLuorescence EXplorer Mission Concept—ESA’s Earth Explorer 8 M. Drusch et al. 10.1109/TGRS.2016.2621820
135. Spring photosynthetic onset and net CO2 uptake in Alaska triggered by landscape thawing N. Parazoo et al. 10.1111/gcb.14283
136. Monitoring Drought Effects on Vegetation Productivity Using Satellite Solar-Induced Chlorophyll Fluorescence L. Zhang et al. 10.3390/rs11040378
137. Assessing the potential of sun-induced fluorescence and the canopy scattering coefficient to track large-scale vegetation dynamics in Amazon forests P. Köhler et al. 10.1016/j.rse.2017.09.025
138. Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years J. Xiao et al. 10.1016/j.rse.2019.111383
139. The TROPOSIF global sun-induced fluorescence dataset from the Sentinel-5P TROPOMI mission L. Guanter et al. 10.5194/essd-13-5423-2021
140. From instantaneous to continuous: Using imaging spectroscopy and in situ data to map two productivity-related ecosystem services D. Braun et al. 10.1016/j.ecolind.2017.06.045
141. A double peak in the seasonality of California's photosynthesis as observed from space A. Turner et al. 10.5194/bg-17-405-2020
142. Consistency between sun-induced chlorophyll fluorescence and gross primary production of vegetation in North America Y. Zhang et al. 10.1016/j.rse.2016.05.015
143. 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
144. Evaluating the Impact of Summer Drought on Vegetation Growth Using Space-Based Solar-Induced Chlorophyll Fluorescence Across Extensive Spatial Measures S. Pandiyan et al. 10.1089/big.2020.0350
145. 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
146. Retrieval of global terrestrial solar-induced chlorophyll fluorescence from TanSat satellite S. Du et al. 10.1016/j.scib.2018.10.003
147. Comparison of Phenology Estimated From Monthly Vegetation Indices and Solar-Induced Chlorophyll Fluorescence in China X. Wang et al. 10.3389/feart.2022.802763
148. Evaluating the predictive power of sun-induced chlorophyll fluorescence to estimate net photosynthesis of vegetation canopies: A SCOPE modeling study J. Verrelst et al. 10.1016/j.rse.2016.01.018