146 citations as recorded by crossref.

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26. 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
27. 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
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30. Improving Winter Wheat Yield Forecasting Based on Multi-Source Data and Machine Learning Y. Sun et al. 10.3390/agriculture12050571
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42. 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
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44. 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
45. 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
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48. 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
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50. 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
51. 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
52. Comparison of Bi-Hemispherical and Hemispherical-Conical Configurations for In Situ Measurements of Solar-Induced Chlorophyll Fluorescence . Zhang et al. 10.3390/rs11222642
53. 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
54. 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
55. 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
56. 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
57. Is satellite Sun-Induced Chlorophyll Fluorescence more indicative than vegetation indices under drought condition? J. Cao et al. 10.1016/j.scitotenv.2021.148396
58. 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
59. 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
60. Review of Top-of-Canopy Sun-Induced Fluorescence (SIF) Studies from Ground, UAV, Airborne to Spaceborne Observations S. Bandopadhyay et al. 10.3390/s20041144
61. 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
62. 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
63. 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
64. 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
65. Spatiotemporal estimation of TROPOMI NO2 column with depthwise partial convolutional neural network Y. Lops et al. 10.1007/s00521-023-08558-1
66. 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
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75. 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
76. Towards a Harmonized Long‐Term Spaceborne Record of Far‐Red Solar‐Induced Fluorescence N. Parazoo et al. 10.1029/2019JG005289
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78. Spatial Variation of NO2 and Its Impact Factors in China: An Application of Sentinel-5P Products . Zheng et al. 10.3390/rs11161939
79. 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
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