123 citations as recorded by crossref.

1. Localized Brightness–Shape–Moisture Soil Parameterization for Improved PROSAIL-5 Canopy Simulation W. Bonnet et al. https://doi.org/10.14358/PERS.25-00146R2
2. Gaussian Process Regression Hybrid Models for the Top-of-Atmosphere Retrieval of Vegetation Traits Applied to PRISMA and EnMAP Imagery A. Pascual-Venteo et al. https://doi.org/10.3390/rs16071211
3. Comparing the quantum use efficiency of red and far-red sun-induced fluorescence at leaf and canopy under heat-drought stress S. Wieneke et al. https://doi.org/10.1016/j.rse.2024.114294
4. Quantifying evapotranspiration and shading cooling of urban vegetation across climates under extreme heat using an integrated SCOPE-SEB model and surface temperature analysis Z. Yu et al. https://doi.org/10.1016/j.rse.2026.115343
5. Temperature-Dependent Relationship Between Solar-Induced Chlorophyll Fluorescence and Photosynthesis in Evergreen Needleleaf Forests R. Chen et al. https://doi.org/10.1109/TGRS.2025.3620306
6. Sensing Plant Photosynthesis Using Solar-Induced Chlorophyll Fluorescence: From Chloroplasts to the Globe X. Yang et al. https://doi.org/10.1146/annurev-arplant-090324-115537
7. An effective approach to estimate ground soil heat flux using half-order derivative method in permafrost regions of the Qinghai-Tibet Plateau C. Shang et al. https://doi.org/10.1016/j.ejrh.2025.102994
8. The Impacts of Air Quality on Vegetation Health in Dense Urban Environments: A Ground-Based Hyperspectral Imaging Approach F. Qamar et al. https://doi.org/10.3390/rs14163854
9. What drives the cooling dynamics of urban vegetation via evapotranspiration and shading under extreme heat? W. Ma et al. https://doi.org/10.1016/j.scs.2025.106659
10. Impact of vertical and seasonal variation in leaf traits on simulating soybean canopy photosynthesis via 1D and 3D modeling X. Wang et al. https://doi.org/10.1016/j.agrformet.2025.110941
11. GriddingMachine, a database and software for Earth system modeling at global and regional scales Y. Wang et al. https://doi.org/10.1038/s41597-022-01346-x
12. Biases in estimated vegetation indices from observations under cloudy conditions K. Wolf et al. https://doi.org/10.5194/bg-22-7797-2025
13. Improving the ability of solar-induced chlorophyll fluorescence to track gross primary production through differentiating sunlit and shaded leaves Z. Zhang et al. https://doi.org/10.1016/j.agrformet.2023.109658
14. Earth Observation-Driven Inference for Level-4 Terrestrial Products: Process-Based, Machine Learning, and Hybrid Frameworks J. Verrelst & P. Reyes-Muñoz https://doi.org/10.3390/rs18142371
15. Evaluating epistemic uncertainty estimation strategies in vegetation trait retrieval using hybrid models and imaging spectroscopy data J. García-Soria et al. https://doi.org/10.1016/j.rse.2024.114228
16. Integrating canopy structure into remote sensing inversion strategies: Optimizing plant functional trait retrieval Z. Shi et al. https://doi.org/10.1016/j.eja.2025.127931
17. Improving the accuracy of SIF quantified from moderate spectral resolution airborne hyperspectral imager using SCOPE: assessment with sub-nanometer imagery A. Belwalkar et al. https://doi.org/10.1016/j.jag.2024.104198
18. Comparative Analysis on the Estimation of Diurnal Solar-Induced Chlorophyll Fluorescence Dynamics for a Subtropical Evergreen Coniferous Forest J. Chen et al. https://doi.org/10.3390/rs13163143
19. Impact of stratiform liquid water clouds on vegetation albedo quantified by coupling an atmosphere and a vegetation radiative transfer model K. Wolf et al. https://doi.org/10.5194/bg-22-2909-2025
20. A Systematic Review on Deep Learning for Atmospheric Correction of Satellite Images M. Shah et al. https://doi.org/10.1007/s11831-025-10424-3
21. Advances in Research and Application of Techniques for Measuring Photosynthetically Active Radiation J. Liu et al. https://doi.org/10.3390/rs17101765
22. Archetypal crop trait dynamics for enhanced retrieval of biophysical parameters from Sentinel-2 MSI F. Yin et al. https://doi.org/10.1016/j.rse.2024.114510
23. Iterative Filtering and Smoothing with Optical Flow Prediction Models J. Hakkarainen et al. https://doi.org/10.1137/24M1689120
24. Using different radiative transfer schemes for solar-induced chlorophyll fluorescence (SIF) in evergreen coniferous forests with a terrestrial biosphere model T. Thum et al. https://doi.org/10.5194/bg-23-3541-2026
25. From fluorescence to biomass: A comprehensive analysis via crop modeling and sensing techniques G. Ntakos et al. https://doi.org/10.1016/j.atech.2025.100807
26. Leaf CO2 response curve fitting method matters: cross‐tool assumptions spread photosynthetic parameters and bias leaf–canopy photosynthesis Y. Wei et al. https://doi.org/10.1111/nph.71358
27. Contrasting photoprotective responses of forest trees revealed using PRI light responses sampled with airborne imaging spectrometry J. Gamon et al. https://doi.org/10.1111/nph.18754
28. Constraining the maximum entropy production approach with sun-induced chlorophyll fluorescence to estimate evapotranspiration in a seasonally dry deciduous forest L. Méndez-Barroso et al. https://doi.org/10.1016/j.jhydrol.2026.136295
29. Correcting angular effects on MODIS LST in urban areas using an enhanced time-evolving parametric geometric model J. Qin et al. https://doi.org/10.1016/j.rse.2025.115103
30. Understanding eco-hydrological processes in winter wheat croplands through physically consistent modelling L. Li et al. https://doi.org/10.1007/s00704-026-06440-3
31. Assessing Evapotranspiration Models for Regional Implementation in the Mediterranean: A Comparative Analysis of STEPS, TSEB, and SCOPE with Global Datasets Z. Unnisa et al. https://doi.org/10.3390/app14177685
32. Downscaling the full-spectrum solar-induced fluorescence emission signal of a mixed crop canopy to the photosystem level using the hybrid approach J. Krämer et al. https://doi.org/10.1016/j.rse.2025.114739
33. Integrating SIF-derived parameters with three-band vegetation indices for quantifying maize leaf spot severity: a case study under field conditions K. Ren et al. https://doi.org/10.1016/j.aiia.2026.08.008
34. Predicting drought vulnerability with leaf reflectance spectra in Amazonian trees M. Garcia et al. https://doi.org/10.1016/j.rse.2024.114562
35. Comparing methods for solar-induced fluorescence efficiency estimation using radiative transfer modelling and airborne diurnal measurements of barley crops J. Bendig et al. https://doi.org/10.1016/j.rse.2024.114521
36. Retrieval of chlorophyll fluorescence from a large distance using oxygen absorption bands C. van der Tol et al. https://doi.org/10.1016/j.rse.2022.113304
37. Improved GPP upscaling from instantaneous measurements to daily sums using the light-use-efficiency-based model R. Chen et al. https://doi.org/10.1016/j.agrformet.2025.110529
38. Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5 R. Li et al. https://doi.org/10.1029/2021MS002747
39. Recent Developments to the SimSphere Land Surface Modelling Tool for the Study of Land–Atmosphere Interactions G. Petropoulos & C. Lekka https://doi.org/10.3390/s24103024
40. Characterization of the layered SIF distribution through hyperspectral observation and SCOPE modeling for a subtropical evergreen forest K. Zhu et al. https://doi.org/10.1016/j.isprsjprs.2023.05.014
41. Machine Learning for Satellite Solar-Induced Fluorescence: Retrieval, Reconstruction, Downscaling, and Applications J. Verrelst et al. https://doi.org/10.3390/rs18040553
42. On the impact of canopy model complexity on simulated carbon, water, and solar-induced chlorophyll fluorescence fluxes Y. Wang & C. Frankenberg https://doi.org/10.5194/bg-19-29-2022
43. Leaf angle as a leaf and canopy trait: Rejuvenating its role in ecology with new technology X. Yang et al. https://doi.org/10.1111/ele.14215
44. Development of an ecohydrological model for coupled simulation of water and carbon fluxes, crop growth, and canopy spectra over croplands C. Yang et al. https://doi.org/10.1016/j.compag.2025.110336
45. Mapping of sun-induced fluorescence (SIF) in kiwifruit canopy using a 3D radiative transfer modeling and airborne hyperspectral imaging R. Pullanagari et al. https://doi.org/10.1016/j.rsase.2025.101840
46. Understanding the effects of revegetated shrubs on fluxes of energy, water, and gross primary productivity in a desert steppe ecosystem using the STEMMUS–SCOPE model E. Tang et al. https://doi.org/10.5194/bg-21-893-2024
47. Smart and sustainable nano-biosensing technologies for advancing stress detection and management in agriculture and beyond M. Sarabandi et al. https://doi.org/10.1016/j.indcrop.2025.120713
48. High spatiotemporal resolution vegetation FAPAR estimation from Sentinel-2 based on the spectral invariant theory Y. Tao et al. https://doi.org/10.1016/j.srs.2025.100207
49. Rapid modeling of 3D rice canopy structure considering vertical heterogeneity and analysis of spectral response J. Bai et al. https://doi.org/10.1016/j.plaphe.2026.100226
50. Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods W. Zhu et al. https://doi.org/10.1080/15481603.2024.2318846
51. GSV-L: A general spectral vector model for hyperspectral leaf spectra simulation T. Ma & H. Fang https://doi.org/10.1016/j.jag.2023.103216
52. Improving estimates of sub-daily gross primary production from solar-induced chlorophyll fluorescence by accounting for light distribution within canopy R. Chen et al. https://doi.org/10.1016/j.rse.2023.113919
53. Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing F. Qamar & G. Dobler https://doi.org/10.1186/s13007-023-01046-6
54. SSolar-GOA v1.0: a simple, fast, and accurate Spectral SOLAR radiative transfer model for clear skies V. Cachorro et al. https://doi.org/10.5194/gmd-15-1689-2022
55. A Deep Transfer Learning Method for Generating High Spatiotemporal Resolution Leaf Area Index From Landsat Surface Reflectance G. Zhang et al. https://doi.org/10.1109/TGRS.2026.3715899
56. Accelerating Fluspect With an Analytical Algorithm in Simulating Mesophyll Fluorescence Matrices H. Shi & Z. Xiao https://doi.org/10.1109/LGRS.2025.3529029
57. PROSPECT-DP: A coupled leaf optical properties model for improving leaf spectra simulation in the red-edge domain by excluding the ChlF effect S. Du et al. https://doi.org/10.1016/j.jag.2025.104651
58. Coupled WOFOST and SCOPE model for remote sensing-based crop growth simulations G. Ntakos et al. https://doi.org/10.1016/j.compag.2024.109238
59. A global system for monitoring radiative transfer and directional temperatures over heterogeneous surfaces S. Zhong et al. https://doi.org/10.1016/j.rse.2026.115635
60. Development of a simple parametric approach to correct fluorescence signal for reabsorption and its implications for GPP estimates: a case study for alfalfa crop L. da Costa et al. https://doi.org/10.1080/22797254.2025.2540962
61. Quantifying vertical heterogeneity of forest gross primary production using hyperspectral and LiDAR data Z. Shi et al. https://doi.org/10.1016/j.jag.2026.105094
62. Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies E. Chakhvashvili et al. https://doi.org/10.1007/s11119-024-10168-3
63. Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review K. Berger et al. https://doi.org/10.1016/j.rse.2022.113198
64. Ecophysiological variables retrieval and early stress detection: insights from a synthetic spatial scaling exercise J. Pacheco-Labrador et al. https://doi.org/10.1080/01431161.2024.2414435
65. Estimation of Leaf Area Index and Vegetation Fractional Cover in SBG-TIR Configuration Using SCOPE Simulated Data and Sentinel-2 Images L. Tuzzi et al. https://doi.org/10.3390/rs18121931
66. Angular normalization of solar-induced chlorophyll fluorescence on tree crown scale for red and near-infrared bands based on multi-angle UAV observations Z. Cheng et al. https://doi.org/10.1016/j.isprsjprs.2026.03.022
67. Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data A. Duarte Rocha et al. https://doi.org/10.5194/hess-26-1111-2022
68. Angular normalization of GOES-16 and GOES-17 land surface temperature over overlapping region using an extended time-evolving kernel-driven model B. Qin et al. https://doi.org/10.1016/j.rse.2024.114532
69. Combining Spectral Libraries and 3-D Radiative Transfer Modeling to Improve the Simulation of Phenology in Semi-Arid Grasslands M. Porterie et al. https://doi.org/10.1109/JSTARS.2025.3599261
70. Estimation of canopy fAPAR using optical reflectance and airborne LiDAR data D. Han et al. https://doi.org/10.1016/j.rse.2025.115065
71. Comparison of a UAV- and an airborne-based system to acquire far-red sun-induced chlorophyll fluorescence measurements over structurally different crops N. Wang et al. https://doi.org/10.1016/j.agrformet.2022.109081
72. Integrating Diurnal Physiological and Structural Variations in SIF for Enhanced Daily Drought Detection in Maize J. Wang et al. https://doi.org/10.3390/rs17040565
73. Quantifying Thermal Infra-Red directional anisotropy using Master and Landsat-8 simultaneous acquisitions J. Michel et al. https://doi.org/10.1016/j.rse.2023.113765
74. Mitigating the directional retrieval error of solar-induced chlorophyll fluorescence in the red band Z. Zhang & Y. Zhang https://doi.org/10.1016/j.rse.2024.114496
75. Defining Brightness-Shape-Moisture Soil Parameters for Southern Africa From Hyperion Hyperspectral Imagery W. Bonnet et al. https://doi.org/10.1109/TGRS.2024.3446246
76. Principles for satellite monitoring of vegetation carbon uptake I. Prentice et al. https://doi.org/10.1038/s43017-024-00601-6
77. Near-surface remote sensing applications for a robust, climate-smart measurement, monitoring, and information system (MMIS) B. Runkle et al. https://doi.org/10.1080/17583004.2025.2465361
78. River Bars and Vegetation Dynamics in Response to Upstream Damming: A Case Study of the Middle Yangtze River Y. Hu et al. https://doi.org/10.3390/rs15092324
79. From spectrum to yield: advances in crop photosynthesis with hyperspectral imaging D. PANDA et al. https://doi.org/10.32615/ps.2025.012
80. Global retrieval of GOME-2 sun-induced chlorophyll fluorescence via neural networks trained on mixed-pixel simulations S. Li et al. https://doi.org/10.1016/j.jag.2026.105373
81. Retrieving vertical profiles of forest fAPAR by integrating airborne optical reflectance and LiDAR data D. Han et al. https://doi.org/10.1016/j.rse.2026.115535
82. GPP-net: a robust high-resolution GPP estimation network for Sentinel-2 using only surface reflectance and photosynthetically active radiation S. Wang et al. https://doi.org/10.1016/j.rse.2025.115198
83. Regional‐Scale Wilting Point Estimation Using Satellite SIF, Radiative‐Transfer Inversion, and Soil‐Vegetation‐Atmosphere Transfer Simulation: A Grassland Study T. Kiyono et al. https://doi.org/10.1029/2022JG007074
84. Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity L. Kooistra et al. https://doi.org/10.5194/bg-21-473-2024
85. Mitigating the black-soil problem in the reflectance-to-fluorescence (R2F) relationship: A soil-adjusted reflectance-based approach for downscaling SIF P. Yang et al. https://doi.org/10.1016/j.rse.2025.114998
86. Leaf angle adjustment improves apparent covariation between fluorescence and photochemical quantum yields across leaves J. Kim et al. https://doi.org/10.1016/j.rse.2026.115427
87. Decoupling physiological and non-physiological responses of sugar beet to water stress from sun-induced chlorophyll fluorescence N. Wang et al. https://doi.org/10.1016/j.rse.2022.113445
88. Enhanced cotton chlorophyll content estimation with UAV multispectral and LiDAR constrained SCOPE model P. Yan et al. https://doi.org/10.1016/j.jag.2024.104052
89. Exploring the interrelated effects of soil background, canopy structure and sun-observer geometry on canopy photochemical reflectance index P. Yang https://doi.org/10.1016/j.rse.2022.113133
90. Unrevealing site-dependent relationship between solar-induced chlorophyll fluorescence and gross primary productivity using the terrestrial ecosystem carbon cycle simulator H. Liu et al. https://doi.org/10.1016/j.rse.2025.115052
91. Using the diurnal variation characteristics of effective quantum yield of PSII photochemistry for drought stress detection in maize Z. Chen et al. https://doi.org/10.1016/j.ecolind.2022.108842
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94. Virtual Joint Field Campaign: a framework of synthetic landscapes to assess multiscale measurement methods of water storage T. Francke et al. https://doi.org/10.5194/gmd-18-819-2025
95. Development and Verification of an Automatic Tower-Based SIF Observation System Based on Narrow Field-of-View Scanning and DOAS Atmospheric Correction C. Hu et al. https://doi.org/10.3390/rs18162837
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97. SILVO, a lightweight 3D illumination model to characterise the spatial structure of heterogeneous vegetation canopies A. Hornero et al. https://doi.org/10.1016/j.jag.2026.105178
98. Exploring the Potential of SCOPE Model for Detection of Leaf Area Index and Sun-Induced Fluorescence of Peatland Canopy A. Rastogi et al. https://doi.org/10.3390/rs14164010
99. The roles of radiative, structural and physiological information of sun-induced chlorophyll fluorescence in predicting gross primary production of a corn crop at various temporal scales P. Yang et al. https://doi.org/10.1016/j.agrformet.2023.109720
100. Assessing the Potential of Downscaled Far Red Solar-Induced Chlorophyll Fluorescence from the Canopy to Leaf Level for Drought Monitoring in Winter Wheat J. Lin et al. https://doi.org/10.3390/rs14061357
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110. ForEdgeClim v1.0: a 3D process-based microclimate model incorporating vertical and lateral radiative and thermal fluxes to simulate forest edge-to-core transitions E. Van de Walle et al. https://doi.org/10.5194/gmd-19-4661-2026
111. Simulation framework for solar-induced fluorescence retrieval and application to DESIS and HyPlant M. Pato et al. https://doi.org/10.1016/j.rse.2025.114944
112. Integrated Modeling Approaches for Agricultural Digital twins: the role of Process Based Models, Agent Based Models, Machine Learning, and Model Coupling S. Rao et al. https://doi.org/10.1093/insilicoplants/diag002
113. The cmSCOPE-D model: A transmission-dynamics-enabled SCOPE adaptation to characterize vertically stratified heterogeneity of maize disease stress B. Qian et al. https://doi.org/10.1016/j.rse.2026.115614
114. Improving retrieval of leaf chlorophyll content from Sentinel-2 and Landsat-7/8 imagery by correcting for canopy structural effects L. Wan et al. https://doi.org/10.1016/j.rse.2024.114048
115. Divergent sensitivity of red and far-red Fraunhofer line fluorescence in-filling to water stress dynamics in almond orchards N. Wang et al. https://doi.org/10.1016/j.rse.2026.115375
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117. Advances in Multi-Scale Remote Sensing and Machine Learning for Canopy-to-Root Phenotyping of Drought Adaptation in Sorghum: A Systematic Review S. Nagaraju et al. https://doi.org/10.3390/rs18162676
118. Enhanced observations from an optimized soil-canopy-photosynthesis and energy flux model revealed evapotranspiration-shading cooling dynamics of urban vegetation during extreme heat Z. Yu et al. https://doi.org/10.1016/j.rse.2024.114098
119. Exploring vegetation chlorophyll fluorescence with leaf dorsiventrality H. Shi https://doi.org/10.1016/j.rse.2024.114342
120. The effect of temperature on photosystem II efficiency across plant functional types and climate P. Neri et al. https://doi.org/10.5194/bg-21-2731-2024
121. Tracking drought in dryland vegetation through the photosynthetic afternoon depression index of Sun-induced chlorophyll fluorescence S. He et al. https://doi.org/10.1016/j.agrformet.2025.110799
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123. Brightness-Shape-Moisture Radiative Transfer Model Improves Soil Moisture Estimation from Sentinel-2 Imagery W. Bonnet et al. https://doi.org/10.1080/00103624.2026.2707639