54 citations as recorded by crossref.

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6. Spatio-Temporal Relationships between Optical Information and Carbon Fluxes in a Mediterranean Tree-Grass Ecosystem J. Pacheco-Labrador et al. https://doi.org/10.3390/rs9060608
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8. Using High-Frequency PAR Measurements to Assess the Quality of the SIF Derived from Continuous Field Observations S. Han et al. https://doi.org/10.3390/rs14092083
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12. Area-ratio Fraunhofer line depth (aFLD) method approach to estimate solar-induced chlorophyll fluorescence in low spectral resolution spectra in a cool-temperate deciduous broadleaf forest N. Nakashima et al. https://doi.org/10.1007/s10265-021-01322-3
13. Estimation of six leaf traits of East Asian forest tree species by leaf spectroscopy and partial least square regression T. Nakaji et al. https://doi.org/10.1016/j.rse.2019.111381
14. Matching the phenology of Net Ecosystem Exchange and vegetation indices estimated with MODIS and FLUXNET in-situ observations M. Balzarolo et al. https://doi.org/10.1016/j.rse.2015.12.017
15. Performance of Smoothing Methods for Reconstructing NDVI Time-Series and Estimating Vegetation Phenology from MODIS Data Z. Cai et al. https://doi.org/10.3390/rs9121271
16. A wheat canopy albedo high-throughput phenotyping method and its relationship with canopy architecture and leaf properties M. Ruz-Ruiz et al. https://doi.org/10.3389/fpls.2026.1769886
17. Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop S. Xu et al. https://doi.org/10.1016/j.rse.2021.112555
18. Modeling the Footprint and Equivalent Radiance Transfer Path Length for Tower-Based Hemispherical Observations of Chlorophyll Fluorescence X. Liu et al. https://doi.org/10.3390/s17051131
19. Digital Twin-Ready Earth Observation: Operationalizing GeoML for Agricultural CO2 Flux Monitoring at Field Scale A. Khan et al. https://doi.org/10.3390/rs17213615
20. Ground far-red sun-induced chlorophyll fluorescence and vegetation indices in the US Midwestern agroecosystems G. Wu et al. https://doi.org/10.1038/s41597-024-03004-w
21. A remotely sensed pigment index reveals photosynthetic phenology in evergreen conifers J. Gamon et al. https://doi.org/10.1073/pnas.1606162113
22. Remote Sensing of Grassland Biophysical Parameters in the Context of the Sentinel-2 Satellite Mission K. Sakowska et al. https://doi.org/10.1155/2016/4612809
23. Evaluation of the Spatial Representativeness of In Situ SIF Observations for the Validation of Medium-Resolution Satellite SIF Products M. Rossini et al. https://doi.org/10.3390/rs14205107
24. On estimating the gross primary productivity of Mediterranean grasslands under different fertilization regimes using vegetation indices and hyperspectral reflectance S. Cerasoli et al. https://doi.org/10.5194/bg-15-5455-2018
25. Height variation hypothesis: A new approach for estimating forest species diversity with CHM LiDAR data M. Torresani et al. https://doi.org/10.1016/j.ecolind.2020.106520
26. Temporal Variability of CO2 and N2O Flux Spatial Patterns at a Mowed and a Grazed Grassland S. Fóti et al. https://doi.org/10.1007/s10021-017-0138-8
27. The reconstructed solar-induced chlorophyll fluorescence dataset reveals the almost ubiquitous close relationship between vegetation transpiration and solar-induced chlorophyll fluorescence R. Wang & J. Zheng https://doi.org/10.1016/j.jhydrol.2024.131883
28. 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. https://doi.org/10.34133/remotesensing.0369
29. A precise method unaffected by atmospheric reabsorption for ground-based retrieval of red and far-red sun-induced chlorophyll fluorescence P. Naethe et al. https://doi.org/10.1016/j.agrformet.2022.109152
30. 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. https://doi.org/10.1016/j.rse.2022.113118
31. Two potential equilibrium states in long-term soil respiration activity of dry grasslands are maintained by local topographic features S. Fóti et al. https://doi.org/10.1038/s41598-020-71292-4
32. Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors M. Lange et al. https://doi.org/10.3390/s17081855
33. Upscaling Solar-Induced Chlorophyll Fluorescence from an Instantaneous to Daily Scale Gives an Improved Estimation of the Gross Primary Productivity J. Hu et al. https://doi.org/10.3390/rs10101663
34. Compensation of Oxygen Transmittance Effects for Proximal Sensing Retrieval of Canopy–Leaving Sun–Induced Chlorophyll Fluorescence N. Sabater et al. https://doi.org/10.3390/rs10101551
35. Comparison of Bi-Hemispherical and Hemispherical-Conical Configurations for In Situ Measurements of Solar-Induced Chlorophyll Fluorescence Q. Zhang et al. https://doi.org/10.3390/rs11222642
36. Validation of TROPOMI SIF products based on spatial representativeness grading and atmospheric-geometric effect assessment Q. Zhang et al. https://doi.org/10.1016/j.rse.2026.115696
37. New approaches in multi-angular proximal sensing of vegetation: Accounting for spatial heterogeneity and diffuse radiation in directional reflectance distribution models J. Pacheco-Labrador et al. https://doi.org/10.1016/j.rse.2016.10.051
38. Soil water depletion induces discrepancies between in situ measured vegetation indices and photosynthesis in a temperate heathland M. Maleki et al. https://doi.org/10.1016/j.agrformet.2022.109110
39. Do all chlorophyll fluorescence emission wavelengths capture the spring recovery of photosynthesis in boreal evergreen foliage? C. Zhang et al. https://doi.org/10.1111/pce.13620
40. Addressing validation challenges for TROPOMI solar-induced chlorophyll fluorescence products using tower-based measurements and an NIRv-scaled approach S. Du et al. https://doi.org/10.1016/j.rse.2023.113547
41. 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
42. Enhancement of Ecological Field Experimental Research by Means of UAV Multispectral Sensing R. Díaz-Delgado et al. https://doi.org/10.3390/drones3010007
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44. Towards consistent assessments of in situ radiometric measurements for the validation of fluorescence satellite missions B. Buman et al. https://doi.org/10.1016/j.rse.2022.112984
45. Performance of Singular Spectrum Analysis in Separating Seasonal and Fast Physiological Dynamics of Solar‐Induced Chlorophyll Fluorescence and PRI Optical Signals K. Biriukova et al. https://doi.org/10.1029/2020JG006158
46. FluoSpec 2—An Automated Field Spectroscopy System to Monitor Canopy Solar-Induced Fluorescence X. Yang et al. https://doi.org/10.3390/s18072063
47. Towards a standardized, ground-based network of hyperspectral measurements: Combining time series from autonomous field spectrometers with Sentinel-2 P. Naethe et al. https://doi.org/10.1016/j.rse.2024.114013
48. Development of an automated hyperspectral system to monitor hyperspectral reflectance and sun-induced chlorophyll fluorescence with directional and hemispheric view geometries simultaneously J. Lee et al. https://doi.org/10.1016/j.rse.2025.115100
49. Simulating arbitrary hyperspectral bandsets from multispectral observations via a generic Earth Observation-Land Data Assimilation System (EO-LDAS) M. Chernetskiy et al. https://doi.org/10.1016/j.asr.2018.07.015
50. Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers T. Julitta et al. https://doi.org/10.3390/rs8020122
51. First Investigation of the Relationship Between Solar-Induced Chlorophyll Fluorescence Observed by TanSat and Gross Primary Productivity S. Du et al. https://doi.org/10.1109/JSTARS.2021.3128355
52. Using Digital Photography to Track Understory Phenology in Mediterranean Cork Oak Woodlands C. Jorge et al. https://doi.org/10.3390/rs13040776
53. The application of EO-1 Hyperion hyperspectral data to estimate the GPP of temperate forest in Changbai Mountain, Northeast China Y. Zhang et al. https://doi.org/10.1007/s12665-021-09639-x
54. A novel approach for retrieving water use efficiency and gross primary production from the “analytical triangle” technique: extending the Ts/VI feature space properties G. Petropoulos et al. https://doi.org/10.1016/j.envsoft.2026.107086