411 citations as recorded by crossref.

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8. Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture W. Maes & K. Steppe 10.1016/j.tplants.2018.11.007
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14. Assessment of Approximations in Aerosol Optical Properties and Vertical Distribution into FLEX Atmospherically-Corrected Surface Reflectance and Retrieved Sun-Induced Fluorescence J. Vicent et al. 10.3390/rs9070675
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18. 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
19. Evaluation of photosynthesis estimation from machine learning-based solar-induced chlorophyll fluorescence downscaling from canopy to leaf level H. Li et al. 10.1016/j.ecolind.2024.112439
20. Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies M. Danner et al. 10.3390/rs11101150
21. Global Sensitivity Analysis of the SCOPE Model in Sentinel-3 Bands: Thermal Domain Focus E. Prikaziuk & C. van der Tol 10.3390/rs11202424
22. High-Throughput Extraction of the Distributions of Leaf Base and Inclination Angles of Maize in the Field L. Lei et al. 10.1109/TGRS.2023.3332869
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25. Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging A. Abdelbaki et al. 10.3390/rs13091748
26. Comparison of total emitted solar-induced chlorophyll fluorescence (SIF) and top-of-canopy (TOC) SIF in estimating photosynthesis X. Lu et al. 10.1016/j.rse.2020.112083
27. DART: Recent Advances in Remote Sensing Data Modeling With Atmosphere, Polarization, and Chlorophyll Fluorescence J. Gastellu-Etchegorry et al. 10.1109/JSTARS.2017.2685528
28. Systematic Orbital Geometry-Dependent Variations in Satellite Solar-Induced Fluorescence (SIF) Retrievals J. Joiner et al. 10.3390/rs12152346
29. 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
30. 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
31. Assessing the effects of forest health on sun-induced chlorophyll fluorescence using the FluorFLIGHT 3-D radiative transfer model to account for forest structure R. Hernández-Clemente et al. 10.1016/j.rse.2017.02.012
32. SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra J. Verrelst et al. 10.3390/rs9090927
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34. Improving the accuracy of SIF quantified from moderate spectral resolution airborne hyperspectral imager using SCOPE: assessment with sub-nanometer imagery A. Belwalkar et al. 10.1016/j.jag.2024.104198
35. 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
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37. Simulating emission and scattering of solar-induced chlorophyll fluorescence at far-red band in global vegetation with different canopy structures B. Qiu et al. 10.1016/j.rse.2019.111373
38. Model-based analysis of the relationship between sun-induced chlorophyll fluorescence and gross primary production for remote sensing applications Y. Zhang et al. 10.1016/j.rse.2016.10.016
39. Evaluating impacts of snow, surface water, soil and vegetation on empirical vegetation and snow indices for the Utqiaġvik tundra ecosystem in Alaska with the LVS3 model Q. Zhang et al. 10.1016/j.rse.2020.111677
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41. Using the SCOPE model for potato growth, productivity and yield monitoring under different levels of nitrogen fertilization E. Prikaziuk et al. 10.1016/j.jag.2022.102997
42. Inference of photosynthetic capacity parameters from chlorophyll a fluorescence is affected by redox state of PSII reaction centers J. Han et al. 10.1111/pce.14271
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44. Using Satellite Data to Characterize Land Surface Processes in Morocco M. Thaiki et al. 10.3390/rs15225389
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48. Interactive Effects of Ocean Acidification, Elevated Temperature, and Reduced Salinity on Early-Life Stages of the Pacific Oyster G. Ko et al. 10.1021/es501611u
49. 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
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51. Freezing induces an increase in leaf spectral transmittance of forest understorey and alpine forbs T. Solanki et al. 10.1007/s43630-022-00189-0
52. FLEX End-to-End Mission Performance Simulator J. Vicent et al. 10.1109/TGRS.2016.2538300
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54. Potential of UAV-based sun-induced chlorophyll fluorescence to detect water stress in sugar beet N. Wang et al. 10.1016/j.agrformet.2022.109033
55. Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing F. Qamar & G. Dobler 10.1186/s13007-023-01046-6
56. A mechanism-guided machine learning method for mapping gapless land surface temperature J. Ma et al. 10.1016/j.rse.2024.114001
57. Tracing Leaf Photosynthetic Parameters Using Hyperspectral Indices in an Alpine Deciduous Forest J. Jin et al. 10.3390/rs12071124
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59. Assimilating solar-induced chlorophyll fluorescence into the terrestrial biosphere model BETHY-SCOPE v1.0: model description and information content A. Norton et al. 10.5194/gmd-11-1517-2018
60. Simulations of solar-induced chlorophyll fluorescence over crop canopies using the integrated APSIM model Y. Wang et al. 10.1016/j.compag.2022.107494
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63. Influence of the canopy BRDF characteristics and illumination conditions on the retrieval of solar-induced chlorophyll fluorescence X. Liu & L. Liu 10.1080/01431161.2017.1404165
64. A spatially downscaled sun-induced fluorescence global product for enhanced monitoring of vegetation productivity G. Duveiller et al. 10.5194/essd-12-1101-2020
65. An angular normalization method for temperature vegetation dryness index (TVDI) in monitoring agricultural drought Z. Bian et al. 10.1016/j.rse.2022.113330
66. Simulating solar-induced chlorophyll fluorescence in a boreal forest stand reconstructed from terrestrial laser scanning measurements W. Liu et al. 10.1016/j.rse.2019.111274
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80. Quantify Wheat Canopy Leaf Angle Distribution Using Terrestrial Laser Scanning Data Y. Wang et al. 10.1109/TGRS.2024.3353225
81. Do Daily and Seasonal Trends in Leaf Solar Induced Fluorescence Reflect Changes in Photosynthesis, Growth or Light Exposure? R. Wyber et al. 10.3390/rs9060604
82. A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance S. Cogliati et al. 10.3390/rs11161840
83. Simulation-Based Evaluation of the Estimation Methods of Far-Red Solar-Induced Chlorophyll Fluorescence Escape Probability in Discontinuous Forest Canopies W. Liu et al. 10.3390/rs12233962
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85. Sun-induced chlorophyll fluorescence is more strongly related to absorbed light than to photosynthesis at half-hourly resolution in a rice paddy K. Yang et al. 10.1016/j.rse.2018.07.008
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