86 citations as recorded by crossref.

1. Retrieval of Red Solar-Induced Chlorophyll Fluorescence With TROPOMI on the Sentinel-5 Precursor Mission F. Zhao et al. 10.1109/TGRS.2022.3162726
2. 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
3. Generating high-resolution total canopy SIF emission from TROPOMI data: Algorithm and application Z. Zhang et al. 10.1016/j.rse.2023.113699
4. 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
5. Identifying Crop Growth Stages from Solar-Induced Chlorophyll Fluorescence Data in Maize and Winter Wheat from Ground and Satellite Measurements Y. Hou et al. 10.3390/rs15245689
6. Normalized Solar-Induced Fluorescence Responds Earlier Than Vegetation Indices to the 2019 North China Plain Drought Y. Gao et al. 10.1109/TGRS.2025.3561216
7. Uniform upscaling techniques for eddy covariance FLUXes (UFLUX) S. Zhu et al. 10.1080/01431161.2024.2312266
8. Stress-induced changes in photosynthesis and proximal fluorescence emission of turfgrass T. Jones et al. 10.1088/2515-7620/ad0b29
9. A Spatially Downscaled TROPOMI SIF Product at 0.005° Resolution With Bias Correction J. Hu et al. 10.1109/JSTARS.2024.3433371
10. Improving Soybean Gross Primary Productivity Modeling Using Solar-Induced Chlorophyll Fluorescence and the Photochemical Reflectance Index by Accounting for the Clearness Index J. Chen & J. Shi 10.3390/rs16162874
11. The Difference between the Responses of Gross Primary Production and Sun-Induced Chlorophyll Fluorescence to the Environment Based on Tower-Based and TROPOMI SIF Data J. Bai et al. 10.3390/app14020771
12. 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
13. CMLR: A Mechanistic Global GPP Dataset Derived from TROPOMIS SIF Observations R. Chen et al. 10.34133/remotesensing.0127
14. DART-based temporal and spatial retrievals of solar-induced chlorophyll fluorescence quantum efficiency from in-situ and airborne crop observations O. Regaieg et al. 10.1016/j.rse.2025.114636
15. Solar angle matters: Diurnal pattern of solar-induced chlorophyll fluorescence from OCO-3 and TROPOMI Z. Zhang & Y. Zhang 10.1016/j.rse.2022.113380
16. A Broadband Green-Red Vegetation Index for Monitoring Gross Primary Production Phenology G. Yin et al. 10.34133/2022/9764982
17. Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level A. Yang et al. 10.3390/rs14102369
18. An improved spatially downscaled solar-induced chlorophyll fluorescence dataset from the TROPOMI product S. Chen et al. 10.1038/s41597-024-04325-6
19. 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
20. Remotely Monitoring Vegetation Productivity in Two Contrasting Subtropical Forest Ecosystems Using Solar-Induced Chlorophyll Fluorescence G. Liu et al. 10.3390/rs14061328
21. Algae Blooms on the Greenland Ice Sheet Detected Through Solar-Induced Fluorescence C. Gerlein-Safdi et al. 10.1109/TGRS.2023.3305194
22. Globally ubiquitous negative effects of nitrogen dioxide on crop growth D. Lobell et al. 10.1126/sciadv.abm9909
23. 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
24. Air quality monitoring in Ukraine during 2022 military conflict using Sentinel-5P imagery M. Mehrabi et al. 10.1007/s11869-023-01488-w
25. Assessing the Potential for Photochemical Reflectance Index to Improve the Relationship between Solar-Induced Chlorophyll Fluorescence and Gross Primary Productivity in Crop and Soybean J. Chen et al. 10.3390/atmos15040463
26. Global retrieval of the spectrum of terrestrial chlorophyll fluorescence: First results with TROPOMI F. Zhao et al. 10.1016/j.rse.2023.113903
27. Improving Red Solar-Induced Chlorophyll Fluorescence Retrieval Using a Data-Driven Reflectance Reconstruction Method S. Du et al. 10.1109/TGRS.2024.3478248
28. SIFFI: Bayesian solar-induced fluorescence retrieval algorithm for remote sensing of vegetation A. Kukkurainen et al. 10.1016/j.rse.2024.114558
29. Estimating global transpiration from TROPOMI SIF with angular normalization and separation for sunlit and shaded leaves C. Zheng et al. 10.1016/j.rse.2024.114586
30. 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
31. Methodological advancement in deriving primary productivity and ecosystem respiration fluxes across different biomes A. Ravi et al. 10.1016/j.mex.2024.102773
32. 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
33. The weekly cycle of photosynthesis in Europe reveals the negative impact of particulate pollution on ecosystem productivity L. He et al. 10.1073/pnas.2306507120
34. Quantification of uncertainty in short-term tropospheric column density risks for a wide range of carbon monoxide Y. Chi et al. 10.1016/j.jenvman.2024.122725
35. Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global Scale by the Granger Causality Method D. Kovács et al. 10.3390/rs15204956
36. 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
37. Improving the ability of solar-induced chlorophyll fluorescence to track gross primary production through differentiating sunlit and shaded leaves Z. Zhang et al. 10.1016/j.agrformet.2023.109658
38. Demands and possibilities for field-scale estimation of agricultural greenhouse gas balances T. Palosuo et al. 10.1016/j.catena.2024.108649
39. A remote sensing based study of tropospheric ozone concentration amid COVID-19 lockdown over India using Sentinel-5P satellite data A. Reshi et al. 10.1080/10106049.2022.2123957
40. Water availability and atmospheric dryness controls on spaceborne sun-induced chlorophyll fluorescence yield S. De Cannière et al. 10.1016/j.rse.2023.113922
41. An improved downscaled sun-induced chlorophyll fluorescence (DSIF) product of GOME-2 dataset Y. Ma et al. 10.1080/22797254.2022.2028579
42. NO2 emissions from oil refineries in the Mississippi Delta M. Filonchyk & M. Peterson 10.1016/j.scitotenv.2023.165569
43. Deriving photosystem-level red chlorophyll fluorescence emission by combining leaf chlorophyll content and canopy far-red solar-induced fluorescence: Possibilities and challenges L. Wu et al. 10.1016/j.rse.2024.114043
44. Harmonizing solar induced fluorescence across spatial scales, instruments, and extraction methods using proximal and airborne remote sensing: A multi-scale study in a soybean field R. Wang et al. 10.1016/j.rse.2022.113268
45. Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data J. Jacobson et al. 10.3390/rs15164038
46. Estimation of global ecosystem isohydricity from solar-induced chlorophyll fluorescence and meteorological datasets J. Xue et al. 10.1016/j.rse.2024.114168
47. Seasonality and synchrony of photosynthesis in African forests inferred from spaceborne chlorophyll fluorescence and vegetation indices R. Doughty et al. 10.5194/bg-22-1985-2025
48. 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
49. 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
50. 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
51. Improved consistency in solar-induced fluorescence retrievals from GOME-2A with the SIFTER v3 algorithm J. Anema et al. 10.5194/amt-18-1961-2025
52. Drought and Waterlogging Stress Regimes in Northern Peatlands Detected Through Satellite Retrieved Solar‐Induced Chlorophyll Fluorescence B. Valkenborg et al. 10.1029/2023GL105205
53. Soil moisture regulates warming responses of autumn photosynthetic transition dates in subtropical forests Y. Fu et al. 10.1111/gcb.16227
54. Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models P. Reyes-Muñoz et al. 10.1016/j.rse.2024.114072
55. 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
56. 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
57. A lightweight SIF-based crop yield estimation model: A case study of Australian wheat J. Xue et al. 10.1016/j.agrformet.2025.110439
58. 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
59. 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
60. A leaf chlorophyll vegetation index with reduced LAI effect based on Sentinel-2 multispectral red-edge information Y. Sun et al. 10.1016/j.compag.2025.110500
61. WAFER: A new method to retrieve sun-induced fluorescence based on spectral wavelet decompositions V. Oehl & A. Damm 10.1016/j.rse.2023.113786
62. Performance of Ground-Based Solar-Induced Chlorophyll Fluorescence Retrieval Algorithms at the Water Vapor Absorption Band Y. Zhang et al. 10.3390/s25030689
63. An Operational Downscaling Method of Solar-Induced Chlorophyll Fluorescence (SIF) for Regional Drought Monitoring Z. Hong et al. 10.3390/agriculture12040547
64. Using satellite-based Sun-induced chlorophyll fluorescence and spectral reflectance for improving terrestrial CO2 flux estimates of India A. Ravi et al. 10.1088/2752-664X/adabed
65. Quantification of uncertainty caused by geometric location mismatch in the validation of TROPOMI solar-induced chlorophyll fluorescence product Q. Zeng et al. 10.1080/17538947.2024.2330688
66. Using Sentinel-2-Based Metrics to Characterize the Spatial Heterogeneity of FLEX Sun-Induced Chlorophyll Fluorescence on Sub-Pixel Scale N. Jantol et al. 10.3390/rs15194835
67. Applications of Sentinel-5P TROPOMI Satellite Sensor: A Review A. Reshi et al. 10.1109/JSEN.2024.3355714
68. Escape Ratio Contributes More Than Fluorescence Yield to SIF-GPP Relationship Over Crops and Rainforest W. Yan et al. 10.1109/LGRS.2024.3432820
69. Vegetation Photosynthesis Model v3.0: Improved Estimates of Terrestrial Gross Primary Production from Individual Eddy Flux Tower Sites to the Globe L. Pan et al. 10.34133/remotesensing.0471
70. The biological basis for using optical signals to track evergreen needleleaf photosynthesis Z. Pierrat et al. 10.1093/biosci/biad116
71. Bushfire recovery at a long-term tall eucalypt flux site through the lens of a satellite: Combining multi-scale data for structural-functional insight W. Woodgate et al. 10.1016/j.rse.2024.114530
72. 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
73. Matching Satellite Sun-Induced Chlorophyll Fluorescence to Flux Footprints Improves Its Relationship with Gross Primary Productivity L. Zhao et al. 10.3390/rs16132388
74. 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
75. Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications S. Ustin & E. Middleton 10.3390/s24113488
76. The influence of plant water stress on vegetation–atmosphere exchanges: implications for ozone modelling T. Emmerichs et al. 10.5194/bg-21-3251-2024
77. 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
78. Atmospheric drought dominates changes in global water use efficiency J. Yang et al. 10.1016/j.scitotenv.2024.173084
79. Increase in gross primary production of boreal forests balanced out by increase in ecosystem respiration J. Pulliainen et al. 10.1016/j.rse.2024.114376
80. A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms X. Chen et al. 10.1038/s41597-022-01520-1
81. Synergy between TROPOMI sun-induced chlorophyll fluorescence and MODIS spectral reflectance for understanding the dynamics of gross primary productivity at Integrated Carbon Observatory System (ICOS) ecosystem flux sites H. Balde et al. 10.5194/bg-20-1473-2023
82. Combination of Vegetation Indices and SIF Can Better Track Phenological Metrics and Gross Primary Production C. Zheng et al. 10.1029/2022JG007315
83. 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
84. Sun-induced fluorescence as a proxy for primary productivity across vegetation types and climates M. Pickering et al. 10.5194/bg-19-4833-2022
85. 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
86. Warming and Drought Weaken the Carbon Sink Capacity of an Endangered Paleoendemic Temperate Rainforest in South America J. Perez‐Quezada et al. 10.1029/2022JG007258