422 citations as recorded by crossref.

1. Improving the Performance of 3-D Radiative Transfer Model FLIGHT to Simulate Optical Properties of a Tree-Grass Ecosystem J. Melendo-Vega et al. 10.3390/rs10122061
2. Potential of the TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor for the monitoring of terrestrial chlorophyll fluorescence L. Guanter et al. 10.5194/amt-8-1337-2015
3. FLiES-SIF version 1.0: three-dimensional radiative transfer model for estimating solar induced fluorescence Y. Sakai et al. 10.5194/gmd-13-4041-2020
4. senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland J. Pacheco-Labrador et al. 10.1016/j.rse.2021.112352
5. A generalizable normalization for assessing plant functional diversity metrics across scales from remote sensing J. Pacheco‐Labrador et al. 10.1111/2041-210X.14163
6. Analysis of the effect of chloroplast arrangement on optical properties of green tobacco leaves B. Baránková et al. 10.1016/j.rse.2015.12.011
7. Improved Methods for Retrieval of Chlorophyll Fluorescence from Satellite Observation in the Far-Red Band Using Singular Value Decomposition Algorithm K. Zhu et al. 10.3390/rs16183441
8. Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture W. Maes & K. Steppe 10.1016/j.tplants.2018.11.007
9. Gene expression patterns of red sea urchins (Mesocentrotus franciscanus) exposed to different combinations of temperature and pCO2 during early development J. Wong & G. Hofmann 10.1186/s12864-020-07327-x
10. Satellite Chlorophyll Fluorescence and Soil Moisture Observations Lead to Advances in the Predictive Understanding of Global Terrestrial Coupled Carbon‐Water Cycles B. Qiu et al. 10.1002/2017GB005744
11. Retrieving Sun-Induced Chlorophyll Fluorescence from Hyperspectral Data with TanSat Satellite S. Li et al. 10.3390/s21144886
12. Diverse photosynthetic capacity of global ecosystems mapped by satellite chlorophyll fluorescence measurements L. He et al. 10.1016/j.rse.2019.111344
13. Combing both simulated and field-measured data to develop robust hyperspectral indices for tracing canopy transpiration in drought-tolerant plant J. Jin et al. 10.1007/s10661-018-7140-2
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
15. Daily and seasonal dynamics of remotely sensed photosynthetic efficiency in tree canopies R. Pieruschka et al. 10.1093/treephys/tpu035
16. Correcting Clear‐Sky Bias in Gross Primary Production Modeling From Satellite Solar‐Induced Chlorophyll Fluorescence Data Z. Zhang et al. 10.1029/2020JG005822
17. Exploring Topographic Effects on Surface Parameters Over Rugged Terrains at Various Spatial Scales H. Shi & Z. Xiao 10.1109/TGRS.2021.3098607
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
23. Estimating near-infrared reflectance of vegetation from hyperspectral data Y. Zeng et al. 10.1016/j.rse.2021.112723
24. Editorial special issue: Advancing foundational sun-induced chlorophyll fluorescence science M. Migliavacca et al. 10.1016/j.agrformet.2023.109499
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
33. Cloud-Free Global Maps of Essential Vegetation Traits Processed from the TOA Sentinel-3 Catalogue in Google Earth Engine D. Kovács et al. 10.3390/rs15133404
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
36. Assessing the potential of sun-induced fluorescence and the canopy scattering coefficient to track large-scale vegetation dynamics in Amazon forests P. Köhler et al. 10.1016/j.rse.2017.09.025
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
40. Modelling sun-induced fluorescence for improved evaluation of forest carbon flux (GPP): Case study of tropical deciduous forest, India S. Sinha et al. 10.1016/j.ecolmodel.2021.109552
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
43. Estimating leaf photosynthesis of C3 plants grown under different environments from pigment index, photochemical reflectance index, and chlorophyll fluorescence K. Tsujimoto & K. Hikosaka 10.1007/s11120-021-00833-3
44. Using Satellite Data to Characterize Land Surface Processes in Morocco M. Thaiki et al. 10.3390/rs15225389
45. Modelling sun-induced fluorescence and photosynthesis with a land surface model at local and regional scales in northern Europe T. Thum et al. 10.5194/bg-14-1969-2017
46. Effect of environmental conditions on the relationship between solar‐induced fluorescence and gross primary productivity at an OzFlux grassland site M. Verma et al. 10.1002/2016JG003580
47. A semi-empirical approach for modeling the vegetation thermal infrared directional anisotropy of canopies based on using vegetation indices Z. Bian et al. 10.1016/j.isprsjprs.2019.12.004
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
50. Improved estimation of gross primary productivity (GPP) using solar-induced chlorophyll fluorescence (SIF) from photosystem II C. Guo et al. 10.1016/j.agrformet.2024.110090
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
53. Principles for satellite monitoring of vegetation carbon uptake I. Prentice et al. 10.1038/s43017-024-00601-6
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. Modelling analysis confirms the role of NPQ saturation for the divergence of the GPP–SIF relationship during heatwave D. Martini et al. 10.1111/nph.20313
56. An in situ approach for validation of canopy chlorophyll fluorescence radiative transfer models using the full emission spectrum W. Liu et al. 10.1016/j.rse.2024.114490
57. 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
58. A mechanism-guided machine learning method for mapping gapless land surface temperature J. Ma et al. 10.1016/j.rse.2024.114001
59. Tracing Leaf Photosynthetic Parameters Using Hyperspectral Indices in an Alpine Deciduous Forest J. Jin et al. 10.3390/rs12071124
60. Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions K. Berger et al. 10.1016/j.rse.2020.111758
61. 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
62. Simulations of solar-induced chlorophyll fluorescence over crop canopies using the integrated APSIM model Y. Wang et al. 10.1016/j.compag.2022.107494
63. Potential of Solar-Induced Chlorophyll Fluorescence for Monitoring Gross Primary Productivity and Evapotranspiration in Tidally-Influenced Coastal Salt Marshes J. Lai & Y. Huang 10.3390/rs16244636
64. Applications of radiative transfer models to greenhouse vegetation N. Vilfan et al. 10.17660/ActaHortic.2020.1296.46
65. Overview of Passive Optical Multispectral and Hyperspectral Image Simulation Techniques S. Han & J. Kerekes 10.1109/JSTARS.2017.2759240
66. 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
67. A spatially downscaled sun-induced fluorescence global product for enhanced monitoring of vegetation productivity G. Duveiller et al. 10.5194/essd-12-1101-2020
68. An angular normalization method for temperature vegetation dryness index (TVDI) in monitoring agricultural drought Z. Bian et al. 10.1016/j.rse.2022.113330
69. 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
70. Simulations of chlorophyll fluorescence incorporated into the Community Land Model version 4 J. Lee et al. 10.1111/gcb.12948
71. Using spectral chlorophyll fluorescence and the photochemical reflectance index to predict physiological dynamics J. Atherton et al. 10.1016/j.rse.2015.12.036
72. New Spectral Fitting Method for Full-Spectrum Solar-Induced Chlorophyll Fluorescence Retrieval Based on Principal Components Analysis X. Liu et al. 10.3390/rs70810626
73. Influence of Karst Reservoir Capacity on Flood in Lijiang Basin Based on Modified HEC-HMS through Soil Moisture Accounting Loss J. Dai et al. 10.3390/atmos13101544
74. A new vegetation index combination for leaf carotenoid-to-chlorophyll ratio: minimizing the effect of their correlation C. He et al. 10.1080/17538947.2023.2168772
75. The 2013 FLEX—US Airborne Campaign at the Parker Tract Loblolly Pine Plantation in North Carolina, USA E. Middleton et al. 10.3390/rs9060612
76. FluLCVRT: Reflectance and fluorescence of leaf and canopy modeling based on Monte Carlo vector radiative transfer simulation A. Kallel 10.1016/j.jqsrt.2020.107183
77. Making full use of hyperspectral data for gross primary productivity estimation with multivariate regression: Mechanistic insights from observations and process-based simulations B. Dechant et al. 10.1016/j.rse.2019.111435
78. Modeling solar-induced fluorescence of forest with heterogeneous distribution of damaged foliage by extending the stochastic radiative transfer theory X. Li et al. 10.1016/j.rse.2022.112892
79. Fluspect-B: A model for leaf fluorescence, reflectance and transmittance spectra N. Vilfan et al. 10.1016/j.rse.2016.09.017
80. Prospects for chlorophyll fluorescence remote sensing from the Orbiting Carbon Observatory-2 C. Frankenberg et al. 10.1016/j.rse.2014.02.007
81. SCOPE 2.0: a model to simulate vegetated land surface fluxes and satellite signals P. Yang et al. 10.5194/gmd-14-4697-2021
82. Global retrieval of the spectrum of terrestrial chlorophyll fluorescence: First results with TROPOMI F. Zhao et al. 10.1016/j.rse.2023.113903
83. Quantify Wheat Canopy Leaf Angle Distribution Using Terrestrial Laser Scanning Data Y. Wang et al. 10.1109/TGRS.2024.3353225
84. 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
85. A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance S. Cogliati et al. 10.3390/rs11161840
86. 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
87. The relationship between wheat yield and sun-induced chlorophyll fluorescence from continuous measurements over the growing season J. Zhu et al. 10.1016/j.rse.2023.113791
88. 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
89. 3D radiative transfer modeling of structurally complex forest canopies through a lightweight boundary-based description of leaf clusters J. Qi et al. 10.1016/j.rse.2022.113301
90. Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study K. Berger et al. 10.3390/rs10010085
91. Retrieval of chlorophyll fluorescence from a large distance using oxygen absorption bands C. van der Tol et al. 10.1016/j.rse.2022.113304
92. Extending Fluspect to simulate xanthophyll driven leaf reflectance dynamics N. Vilfan et al. 10.1016/j.rse.2018.04.012
93. Nitrogen and Phosphorus Effect on Sun-Induced Fluorescence and Gross Primary Productivity in Mediterranean Grassland D. Martini et al. 10.3390/rs11212562
94. On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals Y. Zhang et al. 10.1016/j.rse.2017.12.009
95. Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection L. Tian et al. 10.1016/j.rse.2021.112350
96. Airborne hyperspectral imaging of cover crops through radiative transfer process-guided machine learning S. Wang et al. 10.1016/j.rse.2022.113386
97. A Method to Reconstruct the Solar-Induced Canopy Fluorescence Spectrum from Hyperspectral Measurements F. Zhao et al. 10.3390/rs61010171
98. Estimating actual evapotranspiration across China by improving the PML algorithm with a shortwave infrared-based surface water stress constraint Y. Yang 10.1016/j.rse.2024.114544
99. Terrestrial gross primary production inferred from satellite fluorescence and vegetation models N. Parazoo et al. 10.1111/gcb.12652
100. Re-absorption and scattering of chlorophyll fluorescence in canopies: A revised approach J. Romero et al. 10.1016/j.rse.2020.111860
101. Accounting for canopy structure improves hyperspectral radiative transfer and sun-induced chlorophyll fluorescence representations in a new generation Earth System model R. Braghiere et al. 10.1016/j.rse.2021.112497
102. Regional‐Scale Wilting Point Estimation Using Satellite SIF, Radiative‐Transfer Inversion, and Soil‐Vegetation‐Atmosphere Transfer Simulation: A Grassland Study T. Kiyono et al. 10.1029/2022JG007074
103. Modeling the Footprint and Equivalent Radiance Transfer Path Length for Tower-Based Hemispherical Observations of Chlorophyll Fluorescence X. Liu et al. 10.3390/s17051131
104. Impact of varying irradiance on vegetation indices and chlorophyll fluorescence derived from spectroscopy data A. Damm et al. 10.1016/j.rse.2014.09.031
105. 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
106. Advances in field-based high-throughput photosynthetic phenotyping P. Fu et al. 10.1093/jxb/erac077
107. A System Dynamics Approach to Model Photosynthesis at Leaf Level Under Fluctuating Light N. Salvatori et al. 10.3389/fpls.2021.787877
108. Tree Species Diversity Mapping—Success Stories and Possible Ways Forward M. Immitzer & C. Atzberger 10.3390/rs15123074
109. Integrating satellite optical and thermal infrared observations for improving daily ecosystem functioning estimations during a drought episode B. Bayat et al. 10.1016/j.rse.2018.02.027
110. A review of earth surface thermal radiation directionality observing and modeling: Historical development, current status and perspectives B. Cao et al. 10.1016/j.rse.2019.111304
111. Chlorophyll fluorescence tracks seasonal variations of photosynthesis from leaf to canopy in a temperate forest H. Yang et al. 10.1111/gcb.13590
112. Sun‐induced Chl fluorescence and its importance for biophysical modeling of photosynthesis based on light reactions L. Gu et al. 10.1111/nph.15796
113. Impact of Structural, Photochemical and Instrumental Effects on Leaf and Canopy Reflectance Variability in the 500–600 nm Range A. Moncholi-Estornell et al. 10.3390/rs14010056
114. Empirical insights on the use of sun-induced chlorophyll fluorescence to estimate short-term changes in crop transpiration under controlled water limitation K. Ahmed et al. 10.1016/j.isprsjprs.2023.07.016
115. Integrated modeling of canopy photosynthesis, fluorescence, and the transfer of energy, mass, and momentum in the soil–plant–atmosphere continuum (STEMMUS–SCOPE v1.0.0) Y. Wang et al. 10.5194/gmd-14-1379-2021
116. Measurement and Analysis of Bidirectional SIF Emissions in Wheat Canopies L. Liu et al. 10.1109/TGRS.2015.2504089
117. Evaluating the saturation effect of vegetation indices in forests using 3D radiative transfer simulations and satellite observations S. Gao et al. 10.1016/j.rse.2023.113665
118. On the Functional Relationship Between Fluorescence and Photochemical Yields in Complex Evergreen Needleleaf Canopies A. Maguire et al. 10.1029/2020GL087858
119. Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods W. Zhu et al. 10.1080/15481603.2024.2318846
120. Exploring the spatial relationship between airborne-derived red and far-red sun-induced fluorescence and process-based GPP estimates in a forest ecosystem G. Tagliabue et al. 10.1016/j.rse.2019.111272
121. PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents J. Féret et al. 10.1016/j.rse.2020.112173
122. Airborne hyperspectral imaging of nitrogen deficiency on crop traits and yield of maize by machine learning and radiative transfer modeling S. Wang et al. 10.1016/j.jag.2021.102617
123. Potential of solar-induced chlorophyll fluorescence to estimate transpiration in a temperate forest X. Lu et al. 10.1016/j.agrformet.2018.01.017
124. Characterization of the layered SIF distribution through hyperspectral observation and SCOPE modeling for a subtropical evergreen forest K. Zhu et al. 10.1016/j.isprsjprs.2023.05.014
125. A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks Y. Zhang et al. 10.5194/bg-15-5779-2018
126. An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning J. Rivera et al. 10.3390/rs70709347
127. Phenology of leaf optical properties and their relationship to mesophyll development in cool-temperate deciduous broad-leaf trees. H. Noda et al. 10.1016/j.agrformet.2020.108236
128. Photosynthesis, chlorophyll fluorescence and photochemical reflectance index in photoinhibited leaves K. Hikosaka 10.1071/FP20365
129. An improved instantaneous gross primary productivity model considering the difference in contributions of sunlit and shaded leaves to canopy sun-induced chlorophyll fluorescence X. Wang et al. 10.1016/j.gloplacha.2024.104627
130. Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges A. Porcar-Castell et al. 10.1093/jxb/eru191
131. Comparison between Physical and Empirical Methods for Simulating Surface Brightness Temperature Time Series Z. Bian et al. 10.3390/rs14143385
132. Exploring vegetation chlorophyll fluorescence with leaf dorsiventrality H. Shi 10.1016/j.rse.2024.114342
133. Simulating Global Dynamic Surface Reflectances for Imaging Spectroscopy Spaceborne Missions: LPJ‐PROSAIL B. Poulter et al. 10.1029/2022JG006935
134. Variability of sun‐induced chlorophyll fluorescence according to stand age‐related processes in a managed loblolly pine forest R. Colombo et al. 10.1111/gcb.14097
135. 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
136. Multiangular Observation of Canopy Sun-Induced Chlorophyll Fluorescence by Combining Imaging Spectroscopy and Stereoscopy F. Pinto et al. 10.3390/rs9050415
137. Linking canopy scattering of far-red sun-induced chlorophyll fluorescence with reflectance P. Yang & C. van der Tol 10.1016/j.rse.2018.02.029
138. Efficient physics-informed transfer learning to quantify biochemical traits of winter wheat from UAV multispectral imagery C. Zhang et al. 10.1016/j.atech.2024.100581
139. Satellite remote sensing reveals the footprint of biodiversity on multiple ecosystem functions across the NEON eddy covariance network U. Gomarasca et al. 10.1088/2752-664X/ad87f9
140. Let’s exploit available knowledge on vegetation fluorescence F. Magnani et al. 10.1073/pnas.1406600111
141. Remote Sensing of Grass Response to Drought Stress Using Spectroscopic Techniques and Canopy Reflectance Model Inversion B. Bayat et al. 10.3390/rs8070557
142. Modeling transpiration using solar-induced chlorophyll fluorescence and photochemical reflectance index synergistically in a closed-canopy winter wheat ecosystem C. Zheng et al. 10.1016/j.rse.2023.113981
143. Spectral Invariant Provides a Practical Modeling Approach for Future Biophysical Variable Estimations Y. Zeng et al. 10.3390/rs10101508
144. Hyperspectral and Thermal Sensing of Stomatal Conductance, Transpiration, and Photosynthesis for Soybean and Maize under Drought V. Sobejano-Paz et al. 10.3390/rs12193182
145. Effects of Atmospheric, Topographic, and BRDF Correction on Imaging Spectroscopy-Derived Data Products M. Vögtli et al. 10.1109/JSTARS.2023.3325926
146. Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data A. Duarte Rocha et al. 10.5194/hess-26-1111-2022
147. Chlorophyll fluorescence observed by OCO-2 is strongly related to gross primary productivity estimated from flux towers in temperate forests X. Li et al. 10.1016/j.rse.2017.09.034
148. A New Approach Combining a Multilayer Radiative Transfer Model with an Individual-Based Forest Model: Application to Boreal Forests in Finland H. Henniger et al. 10.3390/rs15123078
149. SIF-based GPP modeling for evergreen forests considering the seasonal variation in maximum photochemical efficiency R. Chen et al. 10.1016/j.agrformet.2023.109814
150. Novel Combined Spectral Indices Derived from Hyperspectral and Laser-Induced Fluorescence LiDAR Spectra for Leaf Nitrogen Contents Estimation of Rice L. Du et al. 10.3390/rs12010185
151. Evaluating the Capability of Low-Configuration Spectrometers to Retrieve Far-Red Solar-Induced Chlorophyll Fluorescence and Its Application for Identifying Crop Growth Stages L. Pei et al. 10.34133/remotesensing.0369
152. A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses L. Karthikeyan et al. 10.1016/j.jhydrol.2020.124905
153. Why make inverse modeling and which methods to use in agriculture? A review Y. Zhang et al. 10.1016/j.compag.2024.108624
154. Hyperspectral radiative transfer modeling to explore the combined retrieval of biophysical parameters and canopy fluorescence from FLEX – Sentinel-3 tandem mission multi-sensor data W. Verhoef et al. 10.1016/j.rse.2017.08.006
155. Analysis of Red and Far-Red Sun-Induced Chlorophyll Fluorescence and Their Ratio in Different Canopies Based on Observed and Modeled Data M. Rossini et al. 10.3390/rs8050412
156. Modeling the Distributions of Brightness Temperatures of a Cropland Study Area Using a Model that Combines Fast Radiosity and Energy Budget Methods Z. Bian et al. 10.3390/rs10050736
157. Using reflectance to explain vegetation biochemical and structural effects on sun-induced chlorophyll fluorescence P. Yang et al. 10.1016/j.rse.2018.11.039
158. Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview R. Imasu et al. 10.1186/s40645-023-00562-2
159. A low-cost automated growth chamber system for continuous measurements of gas exchange at canopy scale in dynamic conditions N. Salvatori et al. 10.1186/s13007-021-00772-z
160. Evaluation of SIF retrievals from narrow-band and sub-nanometer airborne hyperspectral imagers flown in tandem: Modelling and validation in the context of plant phenotyping A. Belwalkar et al. 10.1016/j.rse.2022.112986
161. Fluorescence, PRI and canopy temperature for water stress detection in cereal crops C. Panigada et al. 10.1016/j.jag.2014.02.002
162. Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based vegetation products with multi-output Gaussian process regression D. D.Kovács et al. 10.1016/j.ecoinf.2024.102816
163. Variation of leaf angle distribution quantified by terrestrial LiDAR in natural European beech forest J. Liu et al. 10.1016/j.isprsjprs.2019.01.005
164. A Global Sensitivity Analysis of Commonly Used Satellite-Derived Vegetation Indices for Homogeneous Canopies Based on Model Simulation and Random Forest Learning S. Wang et al. 10.3390/rs11212547
165. Estimating photosynthetic capacity from leaf reflectance and Chl fluorescence by coupling radiative transfer to a model for photosynthesis N. Vilfan et al. 10.1111/nph.15782
166. Radiative transfer Vcmax estimation from hyperspectral imagery and SIF retrievals to assess photosynthetic performance in rainfed and irrigated plant phenotyping trials C. Camino et al. 10.1016/j.rse.2019.05.005
167. Exploring the interrelated effects of soil background, canopy structure and sun-observer geometry on canopy photochemical reflectance index P. Yang 10.1016/j.rse.2022.113133
168. Improving the retrieval of solar-induced chlorophyll fluorescence at canopy level by modeling the relative peak height of the apparent reflectance J. Hu et al. 10.1117/1.JRS.11.026032
169. Airborne based spectroscopy of red and far-red sun-induced chlorophyll fluorescence: Implications for improved estimates of gross primary productivity S. Wieneke et al. 10.1016/j.rse.2016.07.025
170. Combining near-infrared radiance of vegetation and fluorescence spectroscopy to detect effects of abiotic changes and stresses Y. Zeng et al. 10.1016/j.rse.2021.112856
171. Assessment of Satellite Chlorophyll-Based Leaf Maximum Carboxylation Rate (Vcmax) Using Flux Observations at Crop and Grass Sites X. Qian et al. 10.1109/JSTARS.2021.3081704
172. 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
173. A SIF-based approach for quantifying canopy photosynthesis by simulating the fraction of open PSII reaction centers (qL) Z. Liu et al. 10.1016/j.rse.2024.114111
174. A practical approach for extracting the photosystem II (PSII) contribution to near-infrared solar-induced chlorophyll fluorescence C. Guo et al. 10.1016/j.scitotenv.2024.175203
175. Optimizing the Empirical Parameters of the Data-Driven Algorithm for SIF Retrieval for SIFIS Onboard TECIS-1 Satellite C. Zou et al. 10.3390/s21103482
176. Modeling Global Vegetation Gross Primary Productivity, Transpiration and Hyperspectral Canopy Radiative Transfer Simultaneously Using a Next Generation Land Surface Model—CliMA Land Y. Wang et al. 10.1029/2021MS002964
177. Nocturnal Light Emitting Diode Induced Fluorescence (LEDIF): A new technique to measure the chlorophyll a fluorescence emission spectral distribution of plant canopies in situ J. Atherton et al. 10.1016/j.rse.2019.03.030
178. Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling R. Hernández-Clemente et al. 10.1007/s40725-019-00096-1
179. The Solar-Induced Chlorophyll Fluorescence Imaging Spectrometer (SIFIS) Onboard the First Terrestrial Ecosystem Carbon Inventory Satellite (TECIS-1): Specifications and Prospects S. Du et al. 10.3390/s20030815
180. Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis J. Verrelst et al. 10.3390/rs8080673
181. Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes J. Vicent et al. 10.1109/JSTARS.2018.2875330
182. Modeling the Temporal Variability of Thermal Emissions From Row-Planted Scenes Using a Radiosity and Energy Budget Method Z. Bian et al. 10.1109/TGRS.2017.2719098
183. Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model A. Norton et al. 10.5194/bg-16-3069-2019
184. Modeling leaf CO2 assimilation and Photosystem II photochemistry from chlorophyll fluorescence and the photochemical reflectance index K. Hikosaka & H. Noda 10.1111/pce.13461
185. A Review of Hybrid Approaches for Quantitative Assessment of Crop Traits Using Optical Remote Sensing: Research Trends and Future Directions A. Abdelbaki & T. Udelhoven 10.3390/rs14153515
186. Vegetation spectra as an integrated measure to explain underlying soil characteristics: a review of recent advances W. Buma et al. 10.3389/fenvs.2024.1430818
187. Photochemical reflectance index (PRI) can be used to improve the relationship between gross primary productivity (GPP) and sun-induced chlorophyll fluorescence (SIF) X. Wang et al. 10.1016/j.rse.2020.111888
188. Quantifying vegetation biophysical variables from the Sentinel-3/FLEX tandem mission: Evaluation of the synergy of OLCI and FLORIS data sources C. De Grave et al. 10.1016/j.rse.2020.112101
189. Estimating leaf photosynthetic capacity using hyperspectral reflectance: Model variability and transferability L. Wan & F. Ma 10.1016/j.compag.2024.108837
190. Coupled retrieval of the three phases of water from spaceborne imaging spectroscopy measurements N. Bohn et al. 10.1016/j.rse.2020.111708
191. The rising impact of urbanization-caused CO2 emissions on terrestrial vegetation S. Yang et al. 10.1016/j.ecolind.2023.110079
192. Bridging the Gap Between Remote Sensing and Plant Phenotyping—Challenges and Opportunities for the Next Generation of Sustainable Agriculture M. Machwitz et al. 10.3389/fpls.2021.749374
193. Uncertainty analysis of gross primary production partitioned from net ecosystem exchange measurements R. Raj et al. 10.5194/bg-13-1409-2016
194. First results of the earth observation Water Cycle Multi-mission Observation Strategy (WACMOS) Z. Su et al. 10.1016/j.jag.2013.08.002
195. Quantifying the uncertainty in estimates of surface–atmosphere fluxes through joint evaluation of the SEBS and SCOPE models J. Timmermans et al. 10.5194/hess-17-1561-2013
196. Detecting mangrove photosynthesis with solar-induced chlorophyll fluorescence L. Wu et al. 10.1080/01431161.2022.2032457
197. Effect of Low Temperature on Photosynthetic Physiological Activity of Different Photoperiod Types of Strawberry Seedlings and Stress Diagnosis N. Jiang et al. 10.3390/agronomy13051321
198. The Complicate Observations and Multi-Parameter Land Information Constructions on Allied Telemetry Experiment (COMPLICATE) X. Tian et al. 10.1371/journal.pone.0137545
199. Retrieval of Red Solar-Induced Chlorophyll Fluorescence With TROPOMI on the Sentinel-5 Precursor Mission F. Zhao et al. 10.1109/TGRS.2022.3162726
200. MART-soil: A modified analytical radiative transfer mode for simulating multi-angular reflection of soils with different particle size Z. Sun et al. 10.1016/j.geoderma.2023.116366
201. A model and measurement comparison of diurnal cycles of sun-induced chlorophyll fluorescence of crops C. van der Tol et al. 10.1016/j.rse.2016.09.021
202. Assessing the wavelength-dependent ability of solar-induced chlorophyll fluorescence to estimate the GPP of winter wheat at the canopy level L. Liu et al. 10.1080/01431161.2017.1320449
203. 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. 10.1029/2021MS002747
204. On the seasonal relation of sun-induced chlorophyll fluorescence and transpiration in a temperate mixed forest A. Damm et al. 10.1016/j.agrformet.2021.108386
205. Remotely Sensed Carbonyl Sulfide Constrains Model Estimates of Amazon Primary Productivity J. Stinecipher et al. 10.1029/2021GL096802
206. Driving factors of the directional variability of thermal infrared signal in temperate regions C. Duffour et al. 10.1016/j.rse.2016.02.024
207. Angle matters: Bidirectional effects impact the slope of relationship between gross primary productivity and sun‐induced chlorophyll fluorescence from Orbiting Carbon Observatory‐2 across biomes Z. Zhang et al. 10.1111/gcb.14427
208. Improving Chlorophyll Fluorescence Retrieval Using Reflectance Reconstruction Based on Principal Components Analysis . Xinjie Liu & . Liangyun Liu 10.1109/LGRS.2015.2417857
209. An exploration of solar-induced chlorophyll fluorescence (SIF) factors simulated by SCOPE for capturing GPP across vegetation types S. Yang et al. 10.1016/j.ecolmodel.2022.110079
210. Incorporating changes in land surface temperature improves BESS evapotranspiration estimates under water-deficit conditions: A case study for US Midwest and Great Plains grasslands X. Lu et al. 10.1016/j.jhydrol.2024.132201
211. Towards the quantitative and physically-based interpretation of solar-induced vegetation fluorescence retrieved from global imaging S. VAN WITTENBERGHE et al. 10.32615/ps.2021.034
212. Performance of Solar-Induced Chlorophyll Fluorescence in Estimating Water-Use Efficiency in a Temperate Forest X. Lu et al. 10.3390/rs10050796
213. CO2 Concentration, A Critical Factor Influencing the Relationship between Solar-induced Chlorophyll Fluorescence and Gross Primary Productivity R. Qiu et al. 10.3390/rs12091377
214. Atmospheric Correction for Tower-Based Solar-Induced Chlorophyll Fluorescence Observations at O2-A Band X. Liu et al. 10.3390/rs11030355
215. Gross Primary Production of a Wheat Canopy Relates Stronger to Far Red Than to Red Solar-Induced Chlorophyll Fluorescence Y. Goulas et al. 10.3390/rs9010097
216. Far-red sun-induced chlorophyll fluorescence shows ecosystem-specific relationships to gross primary production: An assessment based on observational and modeling approaches A. Damm et al. 10.1016/j.rse.2015.06.004
217. The effects of low pH on the taste and amino acid composition of tiger shrimp H. Hsieh et al. 10.1038/s41598-021-00612-z
218. Detecting Xylella fastidiosa in a machine learning framework using Vcmax and leaf biochemistry quantified with airborne hyperspectral imagery C. Camino et al. 10.1016/j.rse.2022.113281
219. Sun-Induced Chlorophyll Fluorescence I: Instrumental Considerations for Proximal Spectroradiometers J. Pacheco-Labrador et al. 10.3390/rs11080960
220. A Canopy Radiative Transfer Model Considering Leaf Dorsoventrality H. Shi & Z. Xiao 10.1109/TGRS.2021.3119315
221. TLSLeAF: automatic leaf angle estimates from single‐scan terrestrial laser scanning A. Stovall et al. 10.1111/nph.17548
222. Coupling sun-induced chlorophyll fluorescence (SIF) with soil-plant-atmosphere research (SPAR) chambers to advance applications of SIF for crop stress research C. Chang et al. 10.1016/j.rse.2024.114462
223. Partitioning Net Ecosystem Exchange (NEE) of CO2 Using Solar‐Induced Chlorophyll Fluorescence (SIF) O. Kira et al. 10.1029/2020GL091247
224. Unified Four-Stream Radiative Transfer Theory in the Optical-Thermal Domain with Consideration of Fluorescence for Multi-Layer Vegetation Canopies P. Yang et al. 10.3390/rs12233914
225. Direct effects of elevated dissolved CO2 can alter the life history of freshwater zooplankton L. Ramaekers et al. 10.1038/s41598-022-10094-2
226. Multiple-constraint inversion of SCOPE. Evaluating the potential of GPP and SIF for the retrieval of plant functional traits J. Pacheco-Labrador et al. 10.1016/j.rse.2019.111362
227. Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies E. Chakhvashvili et al. 10.1007/s11119-024-10168-3
228. A practical method for angular normalization of global MODIS land surface temperature over vegetated surfaces J. Wang et al. 10.1016/j.isprsjprs.2023.04.015
229. Estimating carbon dioxide fluxes from temperate mountain grasslands using broad-band vegetation indices G. Wohlfahrt et al. 10.5194/bg-7-683-2010
230. Amazon forest structure generates diurnal and seasonal variability in light utilization D. Morton et al. 10.5194/bg-13-2195-2016
231. Simulating spatially distributed solar-induced chlorophyll fluorescence using a BEPS-SCOPE coupling framework T. Cui et al. 10.1016/j.agrformet.2020.108169
232. Unprivileged groups are less served by green cooling services in major European urban areas A. Rocha et al. 10.1038/s44284-024-00077-x
233. A model for estimating transpiration from remotely sensed solar-induced chlorophyll fluorescence N. Shan et al. 10.1016/j.rse.2020.112134
234. Investigating the Potential Accuracy of Spaceborne Solar-Induced Chlorophyll Fluorescence Retrieval for 12 Capable Satellites Based on Simulation Data C. Zou et al. 10.1109/TGRS.2022.3210185
235. Comparative Analysis on the Estimation of Diurnal Solar-Induced Chlorophyll Fluorescence Dynamics for a Subtropical Evergreen Coniferous Forest J. Chen et al. 10.3390/rs13163143
236. Outgoing Near‐Infrared Radiation From Vegetation Scales With Canopy Photosynthesis Across a Spectrum of Function, Structure, Physiological Capacity, and Weather D. Baldocchi et al. 10.1029/2019JG005534
237. Mapping properties of vegetation in a tidal salt marsh from multi-spectral satellite imagery using the SCOPE model L. Meng et al. 10.1080/01431161.2020.1809737
238. Improving Estimates of Gross Primary Productivity by Assimilating Solar‐Induced Fluorescence Satellite Retrievals in a Terrestrial Biosphere Model Using a Process‐Based SIF Model C. Bacour et al. 10.1029/2019JG005040
239. Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing S. Wang et al. 10.1016/j.rse.2022.112914
240. Modeling the hotspot effect for vegetation canopies based on path length distribution W. Li et al. 10.1016/j.rse.2023.113985
241. Comparison of solar‐induced chlorophyll fluorescence, light‐use efficiency, and process‐based GPP models in maize P. Wagle et al. 10.1890/15-1434
242. Potential of hotspot solar‐induced chlorophyll fluorescence for better tracking terrestrial photosynthesis D. Hao et al. 10.1111/gcb.15554
243. FSM: A Reflectance Reconstruction Method to Retrieve Full-Spectrum Sun-Induced Chlorophyll Fluorescence From Canopy Measurements S. Li et al. 10.1109/TGRS.2024.3485576
244. Design of a Generic 3-D Scene Generator for Passive Optical Missions and Its Implementation for the ESA’s FLEX/Sentinel-3 Tandem Mission C. Tenjo et al. 10.1109/TGRS.2017.2754221
245. Bi-directional Monte-Carlo modelling of solar-induced chlorophyll fluorescence images for 3D vegetation canopies in the DART model O. Regaieg et al. 10.1016/j.jag.2023.103254
246. Persistence and Plasticity in Conifer Water‐Use Strategies M. Berkelhammer et al. 10.1029/2018JG004845
247. Different Responses of Solar-Induced Chlorophyll Fluorescence at the Red and Far-Red Bands and Gross Primary Productivity to Air Temperature for Winter Wheat J. Chen et al. 10.3390/rs14133076
248. Fluorescence Correction Vegetation Index (FCVI): A physically based reflectance index to separate physiological and non-physiological information in far-red sun-induced chlorophyll fluorescence P. Yang et al. 10.1016/j.rse.2020.111676
249. Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity L. Kooistra et al. 10.5194/bg-21-473-2024
250. Separation of the direct reflection of soil from canopy spectral reflectance P. Yang et al. 10.1016/j.rse.2024.114500
251. Two for one: Partitioning CO2 fluxes and understanding the relationship between solar-induced chlorophyll fluorescence and gross primary productivity using machine learning W. Zhan et al. 10.1016/j.agrformet.2022.108980
252. Unraveling the physical and physiological basis for the solar- induced chlorophyll fluorescence and photosynthesis relationship using continuous leaf and canopy measurements of a corn crop P. Yang et al. 10.5194/bg-18-441-2021
253. SIFT: Modeling Solar-Induced Chlorophyll Fluorescence Over Sloping Terrain H. Shi & Z. Xiao 10.1109/LGRS.2021.3067879
254. Discrete anisotropic radiative transfer modelling of solar-induced chlorophyll fluorescence: Structural impacts in geometrically explicit vegetation canopies Z. Malenovský et al. 10.1016/j.rse.2021.112564
255. Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models J. Servera et al. 10.1109/TGRS.2018.2864517
256. Effects of spectral resolution and SNR on the vegetation solar-induced fluorescence retrieval using FLD-based methods at canopy level L. Liu et al. 10.5721/EuJRS20154841
257. Systematic Assessment of Retrieval Methods for Canopy Far‐Red Solar‐Induced Chlorophyll Fluorescence Using High‐Frequency Automated Field Spectroscopy C. Chang et al. 10.1029/2019JG005533
258. Assessing wine grape quality parameters using plant traits derived from physical model inversion of hyperspectral imagery L. Suarez et al. 10.1016/j.agrformet.2021.108445
259. Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model N. MacBean et al. 10.1029/2021GB007177
260. Mapping Biophysical Variables From Solar and Thermal Infrared Remote Sensing: Focus on Agricultural Landscapes With Spatial Heterogeneity F. Jacob & M. Weiss 10.1109/LGRS.2014.2313592
261. Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations A. Wolanin et al. 10.1016/j.rse.2019.03.002
262. Disentangling Changes in the Spectral Shape of Chlorophyll Fluorescence: Implications for Remote Sensing of Photosynthesis T. Magney et al. 10.1029/2019JG005029
263. Global White-Sky and Black-Sky FAPAR Retrieval Using the Energy Balance Residual Method: Algorithm and Validation L. Liu et al. 10.3390/rs11091004
264. The composite drought index incorporated solar-induced chlorophyll fluorescence enhances the monitoring capability of short-term drought H. Ren et al. 10.1016/j.jhydrol.2024.131361
265. Integrating solar induced fluorescence with high throughput plant screening for advanced phenotyping of plants A. Mayo et al. 10.1016/j.atech.2024.100642
266. Misión FLEX (Fluorescence Explorer): Observación de la fluorescencia por teledetección como nueva técnica de estudio del estado de la vegetación terrestre a escala global J. Moreno et al. 10.4995/raet.2014.2296
267. Optical remote sensing of crop biophysical and biochemical parameters: An overview of advances in sensor technologies and machine learning algorithms for precision agriculture M. Kganyago et al. 10.1016/j.compag.2024.108730
268. Retrieval of leaf-level fluorescence quantum efficiency and NPQ-related xanthophyll absorption through spectral unmixing strategies for future VIS-NIR imaging spectroscopy S. Van Wittenberghe et al. 10.1016/j.rse.2023.113879
269. Analyzing Daily Estimation of Forest Gross Primary Production Based on Harmonized Landsat-8 and Sentinel-2 Product Using SCOPE Process-Based Model R. Raj et al. 10.3390/rs12223773
270. Extending the SCOPE model to combine optical reflectance and soil moisture observations for remote sensing of ecosystem functioning under water stress conditions B. Bayat et al. 10.1016/j.rse.2018.11.021
271. Influence of Temperature Inertia on Thermal Radiation Directionality Modeling Based on Geometric Optical Model X. Liu et al. 10.1109/TGRS.2019.2956258
272. Atmospheric drought dominates changes in global water use efficiency J. Yang et al. 10.1016/j.scitotenv.2024.173084
273. Potential of Sun‐Induced Chlorophyll Fluorescence for Indicating Mangrove Canopy Photosynthesis X. Zhu et al. 10.1029/2020JG006159
274. Estimation of Seasonal Sun-Induced Fluorescence Dynamics of Indian Tropical Deciduous Forests using SCOPE and Sentinel-2 MSI S. Sinha et al. 10.1016/j.jag.2020.102155
275. A New Fluorescence Quantum Yield Efficiency Retrieval Method to Simulate Chlorophyll Fluorescence under Natural Conditions T. Zou & J. Zhang 10.3390/rs12244053
276. From the Ground to Space: Using Solar‐Induced Chlorophyll Fluorescence to Estimate Crop Productivity L. He et al. 10.1029/2020GL087474
277. Anomalous carbon uptake in Australia as seen by GOSAT R. Detmers et al. 10.1002/2015GL065161
278. Agriculture in silico: Perspectives on radiative transfer optimization using vegetation modeling Y. Wang & Y. Yin 10.1016/j.crope.2023.07.003
279. Sun-induced fluorescence closely linked to ecosystem transpiration as evidenced by satellite data and radiative transfer models W. Maes et al. 10.1016/j.rse.2020.112030
280. Temporal patterns of thermal emission directionality of crop canopies H. Huang et al. 10.1029/2010JD014613
281. Monitoring of Wheat Stripe Rust Using Red SIF Modified by Pseudokurtosis X. Jing et al. 10.3390/agronomy14081698
282. Physical model inversion of the green spectral region to track assimilation rate in almond trees with an airborne nano-hyperspectral imager L. Suarez et al. 10.1016/j.rse.2020.112147
283. Estimation of global ecosystem isohydricity from solar-induced chlorophyll fluorescence and meteorological datasets J. Xue et al. 10.1016/j.rse.2024.114168
284. Overview of Solar-Induced chlorophyll Fluorescence (SIF) from the Orbiting Carbon Observatory-2: Retrieval, cross-mission comparison, and global monitoring for GPP Y. Sun et al. 10.1016/j.rse.2018.02.016
285. Diurnal and Seasonal Solar Induced Chlorophyll Fluorescence and Photosynthesis in a Boreal Scots Pine Canopy C. Nichol et al. 10.3390/rs11030273
286. The potential of satellite FPAR product for GPP estimation: An indirect evaluation using solar-induced chlorophyll fluorescence Z. Zhang et al. 10.1016/j.rse.2020.111686
287. The MISTIGRI thermal infrared project: scientific objectives and mission specifications J. Lagouarde et al. 10.1080/01431161.2012.716921
288. Angular Dependency of Hyperspectral Measurements over Wheat Characterized by a Novel UAV Based Goniometer A. Burkart et al. 10.3390/rs70100725
289. Simulation and Verification of Vertical Heterogeneity Spectral Response of Winter Wheat Based on the mSCOPE Model L. Huang et al. 10.3390/s20164570
290. Variability and Uncertainty Challenges in Scaling Imaging Spectroscopy Retrievals and Validations from Leaves Up to Vegetation Canopies Z. Malenovský et al. 10.1007/s10712-019-09534-y
291. A Transformed Triangular Vegetation Index for Estimating Winter Wheat Leaf Area Index N. Xing et al. 10.3390/rs12010016
292. Evaluating the predictive power of sun-induced chlorophyll fluorescence to estimate net photosynthesis of vegetation canopies: A SCOPE modeling study J. Verrelst et al. 10.1016/j.rse.2016.01.018
293. Improved quantification of cover crop biomass and ecosystem services through remote sensing-based model–data fusion L. Ye et al. 10.1088/1748-9326/ace4df
294. Evaluation of the FluorWPS Model and Study of the Parameter Sensitivity for Simulating Solar-Induced Chlorophyll Fluorescence C. Tong et al. 10.3390/rs13061091
295. Row orientation influences the diurnal cycle of solar-induced chlorophyll fluorescence emission from wheat canopy, as demonstrated by radiative transfer modeling T. Morozumi et al. 10.1016/j.agrformet.2023.109576
296. Spatial covariation between solar-induced fluorescence and vegetation indices from Arctic-Boreal landscapes A. Maguire et al. 10.1088/1748-9326/ac188a
297. Assessing Evapotranspiration Models for Regional Implementation in the Mediterranean: A Comparative Analysis of STEPS, TSEB, and SCOPE with Global Datasets Z. Unnisa et al. 10.3390/app14177685
298. Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. 10.1029/2020RG000715
299. Simulation of ecosystem fluxes with the SCOPE model: Sensitivity to parametrization and evaluation with flux tower observations E. Prikaziuk et al. 10.1016/j.rse.2022.113324
300. Investigation of coupling DSSAT with SCOPE-RTMo via sensitivity analysis and use of this coupled crop-radiative transfer model for sensitivity-based data assimilation A. Weinman et al. 10.1016/j.eja.2024.127431
301. Effect of environmental conditions on sun-induced fluorescence in a mixed forest and a cropland E. Paul-Limoges et al. 10.1016/j.rse.2018.10.018
302. Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements L. Guanter et al. 10.1016/j.rse.2012.02.006
303. The mSCOPE model: A simple adaptation to the SCOPE model to describe reflectance, fluorescence and photosynthesis of vertically heterogeneous canopies P. Yang et al. 10.1016/j.rse.2017.08.029
304. An integrated method for angular and temporal reconstruction of land surface temperatures Z. Bian et al. 10.1016/j.rse.2024.114357
305. Sensitivity of Estimated Total Canopy SIF Emission to Remotely Sensed LAI and BRDF Products Z. Zhang et al. 10.34133/2021/9795837
306. A Critical Evaluation on the Role of Aerodynamic and Canopy–Surface Conductance Parameterization in SEB and SVAT Models for Simulating Evapotranspiration: A Case Study in the Upper Biebrza National Park Wetland in Poland K. Mallick et al. 10.3390/w10121753
307. Simulation of solar-induced chlorophyll fluorescence in a heterogeneous forest using 3-D radiative transfer modelling and airborne LiDAR S. Gao et al. 10.1016/j.isprsjprs.2022.07.004
308. Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review K. Berger et al. 10.1016/j.rse.2022.113198
309. 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
310. Plant functional traits and canopy structure control the relationship between photosynthetic CO2 uptake and far‐red sun‐induced fluorescence in a Mediterranean grassland under different nutrient availability M. Migliavacca et al. 10.1111/nph.14437
311. The inverse relationship between solar-induced fluorescence yield and photosynthetic capacity: benefits for field phenotyping P. Fu et al. 10.1093/jxb/eraa537
312. 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. 10.1016/j.agrformet.2022.109081
313. Estimating Diurnal Courses of Gross Primary Production for Maize: A Comparison of Sun-Induced Chlorophyll Fluorescence, Light-Use Efficiency and Process-Based Models T. Cui et al. 10.3390/rs9121267
314. Surface Reflectance and Sun-Induced Fluorescence Spectroscopy Measurements Using a Small Hyperspectral UAS R. Garzonio et al. 10.3390/rs9050472
315. Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods J. Verrelst et al. 10.1007/s10712-018-9478-y
316. Evaluation of Four Kernel-Driven Models in the Thermal Infrared Band B. Cao et al. 10.1109/TGRS.2019.2899600
317. Remotely Sensed and Empirical Reference Evapotranspiration Models to Derive Crop Coefficients for Pistachios in the Central Basin of Iran F. Firoozi et al. 10.1007/s40996-023-01169-9
318. Wetter Summers Mitigated Temperature Stress on Rocky Mountain Forests During the Last Interglacial Warm Period M. Berkelhammer et al. 10.1029/2021GL093678
319. Mapping evapotranspirative and radiative cooling services in an urban environment A. Rocha et al. 10.1016/j.scs.2022.104051
320. A model for urban biogenic CO<sub>2</sub> fluxes: Solar-Induced Fluorescence for Modeling Urban biogenic Fluxes (SMUrF v1) D. Wu et al. 10.5194/gmd-14-3633-2021
321. Retrieval of sun-induced fluorescence using advanced spectral fitting methods S. Cogliati et al. 10.1016/j.rse.2015.08.022
322. Drought onset mechanisms revealed by satellite solar‐induced chlorophyll fluorescence: Insights from two contrasting extreme events Y. Sun et al. 10.1002/2015JG003150
323. A novel hybrid machine learning phasor-based approach to retrieve a full set of solar-induced fluorescence metrics and biophysical parameters R. Scodellaro et al. 10.1016/j.rse.2022.113196
324. Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output R. Raj et al. 10.5194/gmd-11-83-2018
325. 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. 10.1016/j.rse.2024.114294
326. Advantage of multi-band solar-induced chlorophyll fluorescence to derive canopy photosynthesis in a temperate forest Z. Liu et al. 10.1016/j.agrformet.2019.107691
327. Evaluating the Performance of the SCOPE Model in Simulating Canopy Solar-Induced Chlorophyll Fluorescence J. Hu et al. 10.3390/rs10020250
328. Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model X. Liu et al. 10.1016/j.rse.2018.05.035
329. Optimal inverse estimation of ecosystem parameters from observations of carbon and energy fluxes D. Dutta et al. 10.5194/bg-16-77-2019
330. The Impacts of Air Quality on Vegetation Health in Dense Urban Environments: A Ground-Based Hyperspectral Imaging Approach F. Qamar et al. 10.3390/rs14163854
331. Improving the Estimation of Canopy Fluorescence Escape Probability in the Near-Infrared Band by Accounting for Soil Reflectance M. Qi et al. 10.3390/rs15184361
332. Leaf angle as a leaf and canopy trait: Rejuvenating its role in ecology with new technology X. Yang et al. 10.1111/ele.14215
333. Mapping Daily Evapotranspiration Over a Mediterranean Vineyard Watershed M. Galleguillos et al. 10.1109/LGRS.2010.2055230
334. Better revisiting chlorophyll content retrieval with varying senescent material and solar-induced chlorophyll fluorescence simulation on paddy rice during the entire growth stages N. Shan et al. 10.1016/j.ecolind.2021.108057
335. Inversion of the fluorescence spectral information of vegetation chlorophyll based on the inverted Gaussian model Y. Han et al. 10.1016/j.jqsrt.2019.106761
336. Wide discrepancies in the magnitude and direction of modeled solar-induced chlorophyll fluorescence in response to light conditions N. Parazoo et al. 10.5194/bg-17-3733-2020
337. Forest productivity and water stress in Amazonia: observations from GOSAT chlorophyll fluorescence J. Lee et al. 10.1098/rspb.2013.0171
338. A framework of correcting the angular effect of land surface temperature on evapotranspiration estimation in single-source energy balance models Y. Jiang et al. 10.1016/j.rse.2022.113306
339. Enhanced cotton chlorophyll content estimation with UAV multispectral and LiDAR constrained SCOPE model P. Yan et al. 10.1016/j.jag.2024.104052
340. Exploring the physiological information of Sun-induced chlorophyll fluorescence through radiative transfer model inversion M. Celesti et al. 10.1016/j.rse.2018.05.013
341. Sun‐induced chlorophyll fluorescence from high‐resolution imaging spectroscopy data to quantify spatio‐temporal patterns of photosynthetic function in crop canopies F. Pinto et al. 10.1111/pce.12710
342. Using Satellite-Derived Vegetation Products to Evaluate LDAS-Monde over the Euro-Mediterranean Area D. Leroux et al. 10.3390/rs10081199
343. Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years J. Xiao et al. 10.1016/j.rse.2019.111383
344. Regulation of the global carbon and water cycles through vegetation structural and physiological dynamics W. Li et al. 10.1088/1748-9326/ad5858
345. Estimation of global transpiration from remotely sensed solar-induced chlorophyll fluorescence J. Yang et al. 10.1016/j.rse.2024.113998
346. A comprehensive survey on quantifying non-photosynthetic vegetation cover and biomass from imaging spectroscopy J. Verrelst et al. 10.1016/j.ecolind.2023.110911
347. Reflectance and chlorophyll fluorescence-based retrieval of photosynthetic parameters improves the estimation of subtropical forest productivity M. Amir et al. 10.1016/j.ecolind.2021.108133
348. Impact of Atmospheric Inversion Effects on Solar-Induced Chlorophyll Fluorescence: Exploitation of the Apparent Reflectance as a Quality Indicator N. Sabater et al. 10.3390/rs9060622
349. Spatio‐Temporal Convergence of Maximum Daily Light‐Use Efficiency Based on Radiation Absorption by Canopy Chlorophyll Y. Zhang et al. 10.1029/2017GL076354
350. Spatially-explicit monitoring of crop photosynthetic capacity through the use of space-based chlorophyll fluorescence data Y. Zhang et al. 10.1016/j.rse.2018.03.031
351. Sun-induced fluorescence and gross primary productivity during a heat wave G. Wohlfahrt et al. 10.1038/s41598-018-32602-z
352. Sun‐induced fluorescence – a new probe of photosynthesis: First maps from the imaging spectrometer HyPlant U. Rascher et al. 10.1111/gcb.13017
353. Constraining water limitation of photosynthesis in a crop growth model with sun-induced chlorophyll fluorescence S. De Cannière et al. 10.1016/j.rse.2021.112722
354. Seasonal stability of chlorophyll fluorescence quantified from airborne hyperspectral imagery as an indicator of net photosynthesis in the context of precision agriculture P. Zarco-Tejada et al. 10.1016/j.rse.2016.03.024
355. A precise method unaffected by atmospheric reabsorption for ground-based retrieval of red and far-red sun-induced chlorophyll fluorescence P. Naethe et al. 10.1016/j.agrformet.2022.109152
356. Assessing impacts of canopy 3D structure on chlorophyll fluorescence radiance and radiative budget of deciduous forest stands using DART O. Regaieg et al. 10.1016/j.rse.2021.112673
357. Linking remote sensing parameters to CO2 assimilation rates at a leaf scale K. Hikosaka & K. Tsujimoto 10.1007/s10265-021-01313-4
358. Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine P. Reyes-Muñoz et al. 10.3390/rs14061347
359. Analysis on the relationship between sun-induced chlorophyll fluorescence and gross primary productivity of winter wheat in northern China L. Ma et al. 10.1016/j.ecolind.2022.108905
360. Decoupling physiological and non-physiological responses of sugar beet to water stress from sun-induced chlorophyll fluorescence N. Wang et al. 10.1016/j.rse.2022.113445
361. Retrieving and Validating Leaf and Canopy Chlorophyll Content at Moderate Resolution: A Multiscale Analysis with the Sentinel-3 OLCI Sensor C. De Grave et al. 10.3390/rs13081419
362. An enhanced method for reconstruction of full SIF spectrum for near-ground measurements F. Zhao et al. 10.1016/j.jag.2024.104240
363. An evaluation of SCOPE: A tool to simulate the directional anisotropy of satellite-measured surface temperatures C. Duffour et al. 10.1016/j.rse.2014.10.019
364. Reconstruction of the full spectrum of solar-induced chlorophyll fluorescence: Intercomparison study for a novel method F. Zhao et al. 10.1016/j.rse.2018.10.021
365. 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. 10.1016/j.rse.2024.114098
366. Tracing water and energy fluxes and reflectance in an arid ecosystem using the integrated model SCOPE J. Jin et al. 10.1016/j.jenvman.2018.10.090
367. Reviews and Syntheses: optical sampling of the flux tower footprint J. Gamon 10.5194/bg-12-4509-2015
368. Investigating the usefulness of satellite-derived fluorescence data in inferring gross primary productivity within the carbon cycle data assimilation system E. Koffi et al. 10.5194/bg-12-4067-2015
369. Novel Remote Sensing Index of Electron Transport Rate Predicts Primary Production and Crop Health in L. sativa and Z. mays O. Liran et al. 10.3390/rs12111718
370. Estimating photosynthetic traits from reflectance spectra: A synthesis of spectral indices, numerical inversion, and partial least square regression P. Fu et al. 10.1111/pce.13718
371. The imprint of plants on ecosystem functioning: A data-driven approach T. Musavi et al. 10.1016/j.jag.2015.05.009
372. Quantitative Estimation of Fluorescence Parameters for Crop Leaves with Bayesian Inversion F. Zhao et al. 10.3390/rs71014179
373. Comparison of two temperature differencing methods to estimate daily evapotranspiration over a Mediterranean vineyard watershed from ASTER data M. Galleguillos et al. 10.1016/j.rse.2011.01.013
374. Downscaling of far-red solar-induced chlorophyll fluorescence of different crops from canopy to leaf level using a diurnal data set acquired by the airborne imaging spectrometer HyPlant B. Siegmann et al. 10.1016/j.rse.2021.112609
375. The scattering and re-absorption of red and near-infrared chlorophyll fluorescence in the models Fluspect and SCOPE C. van der Tol et al. 10.1016/j.rse.2019.111292
376. A radiative transfer model for solar induced fluorescence using spectral invariants theory Y. Zeng et al. 10.1016/j.rse.2020.111678
377. Development of a computationally efficient floodplain ecological response model for large-scale, data-sparse riparian environments J. Teng et al. 10.1016/j.ecoinf.2023.102252
378. Development of a filter-based near-surface remote sensing system to retrieve far-red sun-induced chlorophyll fluorescence J. Kim et al. 10.1016/j.rse.2022.113311
379. Estimation of Surface Upward Longwave Radiation Using a Direct Physical Algorithm T. Hu et al. 10.1109/TGRS.2017.2692261
380. SCOPE model applied for rapeseed in Spain N. Pardo et al. 10.1016/j.scitotenv.2018.01.247
381. A Four-Component Parameterized Directional Thermal Radiance Model for Row Canopies K. Li et al. 10.1109/TGRS.2021.3090451
382. HyScreen: A Ground-Based Imaging System for High-Resolution Red and Far-Red Solar-Induced Chlorophyll Fluorescence H. Peng et al. 10.3390/s22239443
383. Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers T. Julitta et al. 10.3390/rs8020122
384. Monitoring and Modeling the Terrestrial System from Pores to Catchments: The Transregional Collaborative Research Center on Patterns in the Soil–Vegetation–Atmosphere System C. Simmer et al. 10.1175/BAMS-D-13-00134.1
385. Assessing bi-directional effects on the diurnal cycle of measured solar-induced chlorophyll fluorescence in crop canopies Z. Zhang et al. 10.1016/j.agrformet.2020.108147
386. Challenging the link between functional and spectral diversity with radiative transfer modeling and data J. Pacheco-Labrador et al. 10.1016/j.rse.2022.113170
387. An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources Z. Su et al. 10.3390/w12051495
388. Assessing Vegetation Function with Imaging Spectroscopy J. Gamon et al. 10.1007/s10712-019-09511-5
389. Advancing retrievals of surface reflectance and vegetation indices over forest ecosystems by combining imaging spectroscopy, digital object models, and 3D canopy modelling D. Fawcett et al. 10.1016/j.rse.2017.09.040
390. Relationships between net photosynthesis and steady-state chlorophyll fluorescence retrieved from airborne hyperspectral imagery P. Zarco-Tejada et al. 10.1016/j.rse.2013.05.011
391. Narrow but robust advantages in two-big-leaf light use efficiency models over big-leaf light use efficiency models at ecosystem level S. Bao et al. 10.1016/j.agrformet.2022.109185
392. On the impact of canopy model complexity on simulated carbon, water, and solar-induced chlorophyll fluorescence fluxes Y. Wang & C. Frankenberg 10.5194/bg-19-29-2022
393. Ecophysiological variables retrieval and early stress detection: insights from a synthetic spatial scaling exercise J. Pacheco-Labrador et al. 10.1080/01431161.2024.2414435
394. Spatially downscaling sun-induced chlorophyll fluorescence leads to an improved temporal correlation with gross primary productivity G. Duveiller & A. Cescatti 10.1016/j.rse.2016.04.027
395. Global sensitivity analysis of the SCOPE model: What drives simulated canopy-leaving sun-induced fluorescence? J. Verrelst et al. 10.1016/j.rse.2015.06.002
396. Uncertainty assessment of surface net radiation derived from Landsat images M. Mira et al. 10.1016/j.rse.2015.12.054
397. Effects of chlorophyll fluorescence on environment and gross primary productivity of moso bamboo during the leaf-expansion stage Y. Xu et al. 10.1016/j.jenvman.2024.121185
398. Solar-induced chlorophyll fluorescence is non-linearly related to canopy photosynthesis in a temperate evergreen needleleaf forest during the fall transition J. Kim et al. 10.1016/j.rse.2021.112362
399. Improving the monitoring of crop productivity using spaceborne solar‐induced fluorescence K. Guan et al. 10.1111/gcb.13136
400. NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales B. Dechant et al. 10.1016/j.rse.2021.112763
401. Improving the Capability of the SCOPE Model for Simulating Solar-Induced Fluorescence and Gross Primary Production Using Data from OCO-2 and Flux Towers H. Wang & J. Xiao 10.3390/rs13040794
402. Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review M. Gerhards et al. 10.3390/rs11101240
403. A TIR forest reflectance and transmittance (FRT) model for directional temperatures with structural and thermal stratification Z. Bian et al. 10.1016/j.rse.2021.112749
404. Capturing the net ecosystem CO2 exchange dynamics of tidal wetlands with high spatiotemporal resolution by integrating process-based and machine learning estimations Y. Lu et al. 10.1016/j.agrformet.2024.110045
405. Sun-induced chlorophyll fluorescence is more strongly related to photosynthesis with hemispherical than nadir measurements: Evidence from field observations and model simulations Z. Zhang et al. 10.1016/j.rse.2022.113118
406. Simulating High-Resolution Sun-Induced Chlorophyll Fluorescence Image of Three-Dimensional Canopy Based on Photon Mapping Y. Luo et al. 10.3390/rs16203783
407. Solar‐induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest X. Yang et al. 10.1002/2015GL063201
408. A two parameter model to simulate thermal infrared directional effects for remote sensing applications C. Duffour et al. 10.1016/j.rse.2016.08.012
409. SPATIOTEMPORAL VARIABILITY OF PHOTOSYNTHETIC SENSITIVITY TO WATER AND RADIATION IN SOUTH AMERICAN CONTINENT S. FUJIMORI & H. KIM 10.2208/jscejhe.75.2_I_1117
410. Estimation of vegetation photosynthetic capacity from space‐based measurements of chlorophyll fluorescence for terrestrial biosphere models Y. Zhang et al. 10.1111/gcb.12664
411. What is global photosynthesis? History, uncertainties and opportunities Y. Ryu et al. 10.1016/j.rse.2019.01.016
412. A practical approach for estimating the escape ratio of near-infrared solar-induced chlorophyll fluorescence Y. Zeng et al. 10.1016/j.rse.2019.05.028
413. Remote sensing of plant-water relations: An overview and future perspectives A. Damm et al. 10.1016/j.jplph.2018.04.012
414. 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. 10.5194/bg-21-893-2024
415. Status of accuracy in remotely sensed and in-situ agricultural water productivity estimates: A review M. Blatchford et al. 10.1016/j.rse.2019.111413
416. Mitigating the directional retrieval error of solar-induced chlorophyll fluorescence in the red band Z. Zhang & Y. Zhang 10.1016/j.rse.2024.114496
417. FluorWPS: A Monte Carlo ray-tracing model to compute sun-induced chlorophyll fluorescence of three-dimensional canopy F. Zhao et al. 10.1016/j.rse.2016.10.036
418. Retrieval of land surface properties from an annual time series of Landsat TOA radiances during a drought episode using coupled radiative transfer models B. Bayat et al. 10.1016/j.rse.2018.09.030
419. Assessing Band Sensitivity to Atmospheric Radiation Transfer for Space-Based Retrieval of Solar-Induced Chlorophyll Fluorescence X. Liu & L. Liu 10.3390/rs61110656
420. Directly estimating diurnal changes in GPP for C3 and C4 crops using far-red sun-induced chlorophyll fluorescence L. Liu et al. 10.1016/j.agrformet.2016.06.014
421. The Chlorophyll Fluorescence Imaging Spectrometer (CFIS), mapping far red fluorescence from aircraft C. Frankenberg et al. 10.1016/j.rse.2018.08.032
422. Retrieval of canopy component temperatures through Bayesian inversion of directional thermal measurements J. Timmermans et al. 10.5194/hess-13-1249-2009