123 citations as recorded by crossref.

1. 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.
2. Global retrieval of canopy chlorophyll content from Sentinel-3 OLCI TOA data using a two-step upscaling method integrating physical and machine learning models D. Li et al.
3. Local interpretation of machine learning models in remote sensing with SHAP: the case of global climate constraints on photosynthesis phenology A. Descals et al.
4. TanSat-2: a new satellite for mapping solar-induced chlorophyll fluorescence at both red and far-red bands with high spatiotemporal resolution D. Zhao et al.
5. 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.
6. 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.
7. CMLR: A Mechanistic Global GPP Dataset Derived from TROPOMIS SIF Observations R. Chen et al.
8. DART-based temporal and spatial retrievals of solar-induced chlorophyll fluorescence quantum efficiency from in-situ and airborne crop observations O. Regaieg et al.
9. 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.
10. QeRSIF: a quality-enhanced red solar-induced chlorophyll fluorescence dataset for TROPOMI satellite Y. Du et al.
11. A Broadband Green-Red Vegetation Index for Monitoring Gross Primary Production Phenology G. Yin et al.
12. SMAP Soil Moisture Downscaling Via Multimodal Data Fusion and Machine Learning X. Sang et al.
13. Remotely Monitoring Vegetation Productivity in Two Contrasting Subtropical Forest Ecosystems Using Solar-Induced Chlorophyll Fluorescence G. Liu et al.
14. Improving terrestrial solar-induced chlorophyll fluorescence (SIF) reconstruction through multi-satellite-derived SIF integration: a comparative study in regional scale M. Pan et al.
15. Air quality monitoring in Ukraine during 2022 military conflict using Sentinel-5P imagery M. Mehrabi et al.
16. Estimating global transpiration from TROPOMI SIF with angular normalization and separation for sunlit and shaded leaves C. Zheng et al.
17. OSRNet: A One-Step Learned Spatial Redistribution Convolutional Neural Network for Satellite SIF Downscaling J. Hu et al.
18. A downscaling algorithm for obtaining hourly gross primary productivity maps at the global scale Y. Wang et al.
19. Addressing validation challenges for TROPOMI solar-induced chlorophyll fluorescence products using tower-based measurements and an NIRv-scaled approach S. Du et al.
20. Methodological advancement in deriving primary productivity and ecosystem respiration fluxes across different biomes A. Ravi et al.
21. High spatial resolution solar-induced chlorophyll fluorescence and its relation to rainfall precipitation across Brazilian ecosystems L. da Costa et al.
22. Large contribution of antecedent climate to ecosystem productivity anomalies during extreme events J. Qiu et al.
23. Water availability and atmospheric dryness controls on spaceborne sun-induced chlorophyll fluorescence yield S. De Cannière et al.
24. Gross Primary Production Estimation of the Leningrad Region Ecosystem Based on OCO-2 Satellite Data S. Foka et al.
25. An improved downscaled sun-induced chlorophyll fluorescence (DSIF) product of GOME-2 dataset Y. Ma et al.
26. 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.
27. Tracing changes in subsurface water storage through a novel satellite-based time-series of far-red solar-induced fluorescence quantum efficiency D. Herrera et al.
28. Widespread enhancement of ecosystem carbon fluxes during post moisture pulse Y. Bai et al.
29. 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.
30. Filling Gaps in Global Daily TROPOMI Solar-Induced Chlorophyll Fluorescence Data From 2018 to 2021 J. Li et al.
31. 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.
32. Improved consistency in solar-induced fluorescence retrievals from GOME-2A with the SIFTER v3 algorithm J. Anema et al.
33. A cloud-computing framework for downscaled global 300 m SIF retrieval from Sentinel-3 and TROPOSIF Y. Zhang et al.
34. Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models P. Reyes-Muñoz et al.
35. 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.
36. A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022 S. Tao et al.
37. Fluorescence Quantum Efficiency Data for Europe 2018–2025 D. Herrera et al.
38. A lightweight SIF-based crop yield estimation model: A case study of Australian wheat J. Xue et al.
39. A leaf chlorophyll vegetation index with reduced LAI effect based on Sentinel-2 multispectral red-edge information Y. Sun et al.
40. An Operational Downscaling Method of Solar-Induced Chlorophyll Fluorescence (SIF) for Regional Drought Monitoring Z. Hong et al.
41. Quantification of uncertainty caused by geometric location mismatch in the validation of TROPOMI solar-induced chlorophyll fluorescence product Q. Zeng et al.
42. Iterative Filtering and Smoothing with Optical Flow Prediction Models J. Hakkarainen et al.
43. Applications of Sentinel-5P TROPOMI Satellite Sensor: A Review A. Reshi et al.
44. Escape Ratio Contributes More Than Fluorescence Yield to SIF-GPP Relationship Over Crops and Rainforest W. Yan et al.
45. 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.
46. The biological basis for using optical signals to track evergreen needleleaf photosynthesis Z. Pierrat et al.
47. Fusing Multisensor Data to Generate a Highly Integrated Global Solar-Induced Chlorophyll Fluorescence (FSIF) Time Series Y. Wang et al.
48. 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.
49. Downscaling solar-induced chlorophyll fluorescence for field-scale cotton yield estimation by a two-step convolutional neural network X. Kang et al.
50. Matching Satellite Sun-Induced Chlorophyll Fluorescence to Flux Footprints Improves Its Relationship with Gross Primary Productivity L. Zhao et al.
51. The influence of plant water stress on vegetation–atmosphere exchanges: implications for ozone modelling T. Emmerichs et al.
52. Atmospheric drought dominates changes in global water use efficiency J. Yang et al.
53. 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.
54. Synergy of Multiple‐Satellite Measurements to Fill the Gap of Global XCO2 J. Lee et al.
55. Quantifying angular sensitivity and synergistic effects of SIF and vegetation indices for robust winter wheat yield estimation H. Tian et al.
56. Sun-induced fluorescence as a proxy for primary productivity across vegetation types and climates M. Pickering et al.
57. Retrieval of Red Solar-Induced Chlorophyll Fluorescence With TROPOMI on the Sentinel-5 Precursor Mission F. Zhao et al.
58. Generating high-resolution total canopy SIF emission from TROPOMI data: Algorithm and application Z. Zhang et al.
59. Identifying Crop Growth Stages from Solar-Induced Chlorophyll Fluorescence Data in Maize and Winter Wheat from Ground and Satellite Measurements Y. Hou et al.
60. Normalized Solar-Induced Fluorescence Responds Earlier Than Vegetation Indices to the 2019 North China Plain Drought Y. Gao et al.
61. Uniform upscaling techniques for eddy covariance FLUXes (UFLUX) S. Zhu et al.
62. Stress-induced changes in photosynthesis and proximal fluorescence emission of turfgrass T. Jones et al.
63. Fast response of satellite fluorescence-derived plant physiology to drought stress Z. Tang et al.
64. A Spatially Downscaled TROPOMI SIF Product at 0.005° Resolution With Bias Correction J. Hu et al.
65. 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
66. Solar angle matters: Diurnal pattern of solar-induced chlorophyll fluorescence from OCO-3 and TROPOMI Z. Zhang & Y. Zhang
67. 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.
68. Solar-induced fluorescence as a robust proxy for vegetation productivity across climate zones and vegetation types in the United States L. Mamić et al.
69. FluxHourly: global long-term hourly 9 km terrestrial water-energy-carbon fluxes Q. Han et al.
70. An improved spatially downscaled solar-induced chlorophyll fluorescence dataset from the TROPOMI product S. Chen et al.
71. Prospects for Solar-Induced Chlorophyll Fluorescence Remote Sensing from the SIFIS Payload Onboard the TECIS-1 Satellite S. Du et al.
72. Algae Blooms on the Greenland Ice Sheet Detected Through Solar-Induced Fluorescence C. Gerlein-Safdi et al.
73. Globally ubiquitous negative effects of nitrogen dioxide on crop growth D. Lobell et al.
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. 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.
76. Global retrieval of the spectrum of terrestrial chlorophyll fluorescence: First results with TROPOMI F. Zhao et al.
77. Improving Red Solar-Induced Chlorophyll Fluorescence Retrieval Using a Data-Driven Reflectance Reconstruction Method S. Du et al.
78. SIFFI: Bayesian solar-induced fluorescence retrieval algorithm for remote sensing of vegetation A. Kukkurainen et al.
79. Application of a SIF-based photochemical model to improve the estimation of electron transport-limited photosynthetic rate in C3 plants: A case study in wheat C. Guo et al.
80. Machine Learning for Satellite Solar-Induced Fluorescence: Retrieval, Reconstruction, Downscaling, and Applications J. Verrelst et al.
81. The weekly cycle of photosynthesis in Europe reveals the negative impact of particulate pollution on ecosystem productivity L. He et al.
82. Quantification of uncertainty in short-term tropospheric column density risks for a wide range of carbon monoxide Y. Chi et al.
83. Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global Scale by the Granger Causality Method D. Kovács et al.
84. Mechanisms of ozone effects on plant stress in soybean across growing season: from leaf to regional perspective L. Mamić et al.
85. Unveiling Air Pollution in Crimean Mountain Rivers: Analysis of Sentinel-5 Satellite Images Using Google Earth Engine (GEE) V. Tabunschik et al.
86. Generation of a global, daily, spatiotemporally seamless solar-induced chlorophyll fluorescence dataset from 2018 to 2021 J. Li et al.
87. Assessing atmospheric pollution in Asian major cities through sentinel-5p and google earth engine: a remote sensing approach M. Ahmed et al.
88. Improving the ability of solar-induced chlorophyll fluorescence to track gross primary production through differentiating sunlit and shaded leaves Z. Zhang et al.
89. Demands and possibilities for field-scale estimation of agricultural greenhouse gas balances T. Palosuo et al.
90. A remote sensing based study of tropospheric ozone concentration amid COVID-19 lockdown over India using Sentinel-5P satellite data A. Reshi et al.
91. Simulation framework for solar-induced fluorescence retrieval and application to DESIS and HyPlant M. Pato et al.
92. NO2 emissions from oil refineries in the Mississippi Delta M. Filonchyk & M. Peterson
93. 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.
94. 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.
95. Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data J. Jacobson et al.
96. Estimation of global ecosystem isohydricity from solar-induced chlorophyll fluorescence and meteorological datasets J. Xue et al.
97. Seasonality and synchrony of photosynthesis in African forests inferred from spaceborne chlorophyll fluorescence and vegetation indices R. Doughty et al.
98. Forecasting of Fine-Grained SIF of OCO-2 Using Multi-source Data and AI-Based Techniques S. Pais et al.
99. Global trends evaluation in ecosystem isohydricity over decades based on a photosynthesis-stomatal coordination framework L. Fu et al.
100. Leveraging TROPOMI red solar-induced chlorophyll fluorescence for enhanced detection of harmful algal blooms in turbid coastal waters J. Hu et al.
101. Drought and Waterlogging Stress Regimes in Northern Peatlands Detected Through Satellite Retrieved Solar‐Induced Chlorophyll Fluorescence B. Valkenborg et al.
102. Soil moisture regulates warming responses of autumn photosynthetic transition dates in subtropical forests Y. Fu et al.
103. Simulation Study on Improving Spectrally Resolved Solar-Induced Fluorescence Satellite Retrievals Under Uncertain Atmospheric States A. Kukkurainen et al.
104. Filling Gaps in Solar-induced Chlorophyll Fluorescence Data Using Deep Residual Neural Networks J. Li et al.
105. Detection of fast-changing intra-seasonal vegetation dynamics of drylands using solar-induced chlorophyll fluorescence (SIF) J. Wen et al.
106. 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.
107. WAFER: A new method to retrieve sun-induced fluorescence based on spectral wavelet decompositions V. Oehl & A. Damm
108. Performance of Ground-Based Solar-Induced Chlorophyll Fluorescence Retrieval Algorithms at the Water Vapor Absorption Band Y. Zhang et al.
109. Using satellite-based Sun-induced chlorophyll fluorescence and spectral reflectance for improving terrestrial CO2 flux estimates of India A. Ravi et al.
110. A more precise retrieval of sun-induced chlorophyll fluorescence from satellite data using artificial neural networks D. Li et al.
111. Using Sentinel-2-Based Metrics to Characterize the Spatial Heterogeneity of FLEX Sun-Induced Chlorophyll Fluorescence on Sub-Pixel Scale N. Jantol et al.
112. Chlorophyll-based canopy photosynthesis model: Development and global synergy analysis D. Li et al.
113. The influence of plant soil moisture stress on solar-induced chlorophyll fluorescence efficiency across Africa K. Onkaew et al.
114. Using solar-induced chlorophyll fluorescence to estimate forest evapotranspiration X. Liu et al.
115. 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
116. Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications S. Ustin & E. Middleton
117. Severe ozone pollution drives physiological stress in winter wheat: Evidence from satellite-based chlorophyll fluorescence analysis R. Wu et al.
118. Effect of environmental factors on solar-induced chlorophyll fluorescence across typical tree species in the Giant Panda National Park S. Li et al.
119. Solar-Induced Chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems R. Cheng
120. Increase in gross primary production of boreal forests balanced out by increase in ecosystem respiration J. Pulliainen et al.
121. A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms X. Chen et al.
122. Combination of Vegetation Indices and SIF Can Better Track Phenological Metrics and Gross Primary Production C. Zheng et al.
123. A Reconstructed Global Daily Seamless SIF Product at 0.05 Degree Resolution Based on TROPOMI, MODIS and ERA5 Data J. Hu et al.