Characterization of chlorophyll fluorescence, absorbed photosynthetically active radiation, and reflectance-based vegetation index spectroradiometer measurements

References

• Aasen, H., E. Honkavaara, A. Lucieer, and P. Zarco-Tejada. 2018. “Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows.” Remote Sensing 10 (7): 1091. doi:10.3390/rs10071091.
   Web of Science ®Google Scholar
• Alonso, L., J. Moreno, I. Moya, and J. R. R. Miller. 2003. “A Comparison of Different Techniques for Passive Measurement of Vegetation Photosynthetic Activity: Solar-Induced Fluorescence, Red-Edge Reflectance Structure and Photochemical Reflectance Indices.” In IGARSS 2003. IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No. 03CH37477), vol. 1, pp. 604–606.
   Google Scholar
• ASD, Inc. 2011. FieldSpec 4 User Manual. Boulder, CO: ASD.
   Google Scholar
• ASDInc. 2010. FieldSpec® HandHeld 2™ Spectroradiometer User Manual. Boulder, CO: ASD, Inc. User Manual.
   Google Scholar
• Atherton, J., W. Liu, and A. Porcar-Castell. 2019. “Nocturnal Light Emitting Diode Induced Fluorescence (LEDIF): A New Technique to Measure the Chlorophyll A Fluorescence Emission Spectral Distribution of Plant Canopies in Situ.” Remote Sensing of Environment 231: 111137. doi:10.1016/j.rse.2019.03.030.
   Web of Science ®Google Scholar
• Atherton, J., C. J. Nichol, and A. Porcar-Castell. 2016. “Using Spectral Chlorophyll Fluorescence and the Photochemical Reflectance Index to Predict Physiological Dynamics.” Remote Sensing of Environment 176: 17–30. doi:10.1016/j.rse.2015.12.036.
   Web of Science ®Google Scholar
• Bula, R. J., R. C. Morrow, T. W. Tibbitts, D. J. Barta, R. W. Ignatius, and T. S. Martin. 1991. “Light-emitting Diodes as Radiation Source for Plants.” Horticulture Science 26 (2): 3.
   Google Scholar
• Burkart, A., A. Schickling, M. P. C. Mateo, T. J. Wrobel, M. Rossini, S. Cogliati, T. Julitta, and U. Rascher. 2015. “A Method for Uncertainty Assessment of Passive Sun-induced Chlorophyll Fluorescence Retrieval Using an Infrared Reference Light.” IEEE Sensors Journal 15 (8): 4603–4611. doi:10.1109/jsen.2015.2422894.
   Web of Science ®Google Scholar
• Cogliati, S., M. Rossini, T. Julitta, M. Meroni, A. Schickling, A. Burkart, F. Pinto, U. Rascher, and R. Colombo. 2015. “Continuous and Long-term Measurements of Reflectance and Sun-induced Chlorophyll Fluorescence by Using Novel Automated Field Spectroscopy Systems.” Remote Sensing of Environment 164: 270–281. doi:10.1016/j.rse.2015.03.027.
   Web of Science ®Google Scholar
• Cui, T., R. Sun, and C. Qiao. 2017. “Analyzing the Relationship between Solar-induced Chlorophyll Fluorescence and Gross Primary Production Using Remotely Sensed Data and Model Simulation.” International Journal of Earth & Environmental Sciences 2 (129): 10. doi:10.15344/2456-351X/2017/129.
   Google Scholar
• Damm, A., J. Elbers, A. Erler, B. Gioli, K. Hamdi, R. Hutjes, M. Kosvancova, et al. 2010a. “Remote Sensing of Sun-induced Fluorescence to Improve Modeling of Diurnal Courses of Gross Primary Production (GPP).” Global Change Biology 16 (1): 171–186. doi:10.1111/j.1365-2486.2009.01908.x.
   Web of Science ®Google Scholar
• Damm, A., L. Guanter, V. C. E. Laurent, M. E. Schaepman, A. Schickling, and U. Rascher. 2014. “FLD-based Retrieval of Sun-induced Chlorophyll Fluorescence from Medium Spectral Resolution Airborne Spectroscopy Data.” Remote Sensing of Environment 147: 256–266. doi:10.1016/j.rse.2014.03.009.
   Web of Science ®Google Scholar
• Damm, A., L. Guanter, E. Paul-Limoges, C. van der Tol, A. Hueni, N. Buchmann, W. Eugster, C. Ammann, and M. E. Schaepman. 2015. “Far-red Sun-induced Chlorophyll Fluorescence Shows Ecosystem-specific Relationships to Gross Primary Production: An Assessment Based on Observational and Modeling Approaches.” Remote Sensing of Environment 166: 15. doi:10.1016/j.rse.2015.06.004.
   Web of Science ®Google Scholar
• Damm, A., A. Schickling, D. Schläpfer, M. E. Schaepman, and U. Rascher. 2010b. “Deriving Sun-induced Chlorophyll Fluorescence from Airborne Based Spectrometer Data.” Proc. ‘Hyperspectral 2010 Workshop’, Frascati, Italy, March 17–19. (ESA SP-683, May 2010):7.
   Google Scholar
• Damm, A., A. Erler, W. Hillen, M. Meroni, M. E. Schaepman, W. Verhoef, and U. Rascher. 2011. “Modeling the Impact of Spectral Sensor Configurations on the FLD Retrieval Accuracy of Sun-induced Chlorophyll Fluorescence.” Remote Sensing of Environment 115 (8): 1882–1892. doi:10.1016/j.rse.2011.03.011.
   Web of Science ®Google Scholar
• Flexas, J., J. M. Escalona, S. Evain, J. Gulı´as, I. Moya, C. B. Osmond, and H. Medrano. 2002. “Steady-state Chlorophyll Fluorescence (Fs) Measurements as a Tool to Follow Variations of Net CO2 Assimilation and Stomatal Conductance during Water-stress in C3 Plants.” Physiologia Plantarum 114: 10. doi:10.1034/j.1399-3054.2002.1140209.x.
   Web of Science ®Google Scholar
• Frankenberg, C., J. B. Fisher, J. R. Worden, G. Badgley, S. S. Saatchi, J. E. Lee, G. C. Toon, et al. 2011. “New Global Observations of the Terrestrial Carbon Cycle from GOSAT: Patterns of Plant Fluorescence with Gross Primary Productivity.” Geophysical Research Letters 38 (17). doi:10.1029/2011gl048738.
   Web of Science ®Google Scholar
• Frankenberg, C., C. O’Dell, J. Berry, J. Joiner, P. Köhler, R. Pollock, and T. E. Taylor. 2014. “Prospects for Chlorophyll Fluorescence Remote Sensing from the Orbiting Carbon Observatory-2.” Remote Sensing of Environment 147: 1–12. doi:10.1016/j.rse.2014.02.007.
   Web of Science ®Google Scholar
• Gamon, J. A., C. B. Field, A. L. Fredeen, and S. Thayer. 2001. “Assessing Photosynthetic Downregulation in Sunflower Stands with an Optically-based Model.” Photosynthesis Research 67 (1–2): 12. doi:10.1023/A:1010677605091.
   Web of Science ®Google Scholar
• Gamon, J. A., C. B. FIeld, L. Michael, M. Gulden, K. Griffin, A. E. Hartley, J. Geeske, J. Penuelas, and R. Valentini. 1995. “Relationships between NDVI, Canopy Structure, and Photosynthesis in Three Californian Vegetation Types.” Ecological Applications 5 (1): 14. doi:10.2307/1942049.
   Web of Science ®Google Scholar
• Gamon, J. A., K. F. Huemmrich, C. Y. Wong, I. Ensminger, S. Garrity, D. Y. Hollinger, A. Noormets, and J. Penuelas. 2016. “A Remotely Sensed Pigment Index Reveals Photosynthetic Phenology in Evergreen Conifers.” Proceedings of the National Academy of Sciences of the USA 113 (46): 13087–13092. doi:10.1073/pnas.1606162113.
   PubMed Web of Science ®Google Scholar
• Gamon, J. A., J. Penuelas, and C. B. FIeld. 1992. ““A Narrow-Waveband Spectral Index That Tracks Diurnal Changes In Photosynthetic Efficiency “.” Remote Sensing of Environment 41: 10. doi:10.1016/0034-4257(92)90059-S.
   Web of Science ®Google Scholar
• Gamon, J. A., L. Serrano, and J. S. Surfus. 1997. “The Photochemical Re¯ectance Index: An Optical Indicator of Photosynthetic Radiation Use Efficiency across Species,functional Types, and Nutrient Levels.” Oecologia 112: 10. doi:10.1007/s004420050337.
   Web of Science ®Google Scholar
• Garbulsky, M. F., J. Peñuelas, J. Gamon, Y. Inoue, and I. Filella. 2011. “The Photochemical Reflectance Index (PRI) and the Remote Sensing of Leaf, Canopy and Ecosystem Radiation Use efficienciesA Review and Meta-analysis.” Remote Sensing of Environment 115 (2): 281–297. doi:10.1016/j.rse.2010.08.023.
   Web of Science ®Google Scholar
• Gitelson, A. A., Y. Gritz, and M. N. Merzlyak. 2003. “Relationships between Leaf Chlorophyll Content and Spectral Reflectance and Algorithms for Non-destructive Chlorophyll Assessment in Higher Plant Leaves.” Journal of Plant Physiology 160 (3): 271–282. doi:10.1078/0176-1617-00887.
   PubMed Web of Science ®Google Scholar
• Gitelson, A. A., Y. Peng, T. J. Arkebauer, and A. E. Suyker. 2015. “Productivity, Absorbed Photosynthetically Active Radiation, and Light Use Efficiency in Crops: Implications for Remote Sensing of Crop Primary Production.” Journal of Plant Physiology 177: 100–109. doi:10.1016/j.jplph.2014.12.015.
   PubMed Web of Science ®Google Scholar
• Gitelson, A. A., Y. Peng, T. J. Arkebauer, and J. Schepers. 2014. “Relationships between Gross Primary Production, Green LAI, and Canopy Chlorophyll Content in Maize: Implications for Remote Sensing of Primary Production.” Remote Sensing of Environment 144: 65–72. doi:10.1016/j.rse.2014.01.004.
   Web of Science ®Google Scholar
• Gitelson, A. A., A. Viña, S. B. Verma, D. C. Rundquist, T. J. Arkebauer, G. Keydan, B. Leavitt, V. Ciganda, G. G. Burba, and A. E. Suyker. 2006. “Relationship between Gross Primary Production and Chlorophyll Content in Crops: Implications for the Synoptic Monitoring of Vegetation Productivity.” Journal of Geophysical Research 111 (D8). doi:10.1029/2005jd006017.
   PubMed Web of Science ®Google Scholar
• Gomez-Chova, L., L. Alonso-Chorda, J. Amoros-Lopez, J. Vila Frances, S. Del Valle-Tascon, J. Calpe, and J. Moreno. 2006. “Solar Induced Fluorescence Measurements Using a Field Spectroradiometer.” AIP Conference Proceedings 852: 274–281. doi:10.1063/1.2349354.
   Google Scholar
• Goulas, Y., A. Fournier, F. Daumard, S. Champagne, O. Marloie, and I. Moya Abderrahmane Ounis. 2017. “Gross Primary Production of a Wheat Canopy Relates Stronger to Far Red than to Red Solar-Induced Chlorophyll Fluorescence.” Remote Sensing 9 (97): 31. doi:10.3390/rs9010097.
   Web of Science ®Google Scholar
• Govindjee, G. 2004. “Chlorophyll a Fluorescence: A Bit of Basics and History.” In Chlorophyll a Fluorescence: A Signature of Photosynthesis, edited by G. C. Papageorgiou, 1–42. Dordrecht: Springer.
   Google Scholar
• Guanter, L., M. Rossini, R. Colombo, M. Meroni, C. Frankenberg, J. E. Lee, and J. Joiner. 2013. “Using Field Spectroscopy to Assess the Potential of Statistical Approaches for the Retrieval of Sun-induced Chlorophyll Fluorescence from Ground and Space.” Remote Sensing of Environment 133: 52–61. doi:10.1016/j.rse.2013.01.017.
   Web of Science ®Google Scholar
• Guanter, L., Y. Zhang, M. Jung, J. Joiner, M. Voigt, J. A. Berry, C. Frankenberg, et al. 2014. “Global and Time-resolved Monitoring of Crop Photosynthesis with Chlorophyll Fluorescence.” Proceedings of the National Academy of Sciences of the USA 111 (14): E1327–33. doi:10.1073/pnas.1320008111.
   PubMed Web of Science ®Google Scholar
• Huete, A., K. Didan, T. Miura, E. P. Rodriguez, X. Gao, and L. G. Ferreira. 2002. “Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices.” Remote Sensing of Environment 83: 19. doi:10.1016/S0034-4257(02)00096-2.
   Web of Science ®Google Scholar
• Inada, K. 1976. “Action Spectra for Photosynthesis in Higher Plants.” Plant & Cell Physiology 17: 10.
   Web of Science ®Google Scholar
• Julitta, T., L. A. Corp, M. Rossini, A. Burkart, S. Cogliati, N. Davies, M. Hom, et al. 2016. “Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers.” Remote Sensing 8 (2): 122. doi:10.3390/rs8020122.
   Web of Science ®Google Scholar
• Li, X., J. Xiao, B. He, M. Altaf Arain, J. Beringer, A. R. Desai, C. Emmel, et al. 2018. “Solar-induced Chlorophyll Fluorescence Is Strongly Correlated with Terrestrial Photosynthesis for a Wide Variety of Biomes: First Global Analysis Based on OCO-2 and Flux Tower Observations.” Global Change Biology 24: 3990–4008. doi:10.1111/gcb.14297.
   Web of Science ®Google Scholar
• Li, Z., and L. Moreau. 1996. “A New Approach for Remote Sensing of Canopy-absorbed Photosynthetically Active Radiation. I: Total Surface Absorption.” Remote Sensing of Environment 55: 16. doi:10.1016/S0034-4257(95)00097-6.
   Web of Science ®Google Scholar
• Liu, L., X. Liu, J. Hu, and L. Guan. 2017. “Assessing the Wavelength-dependent Ability of Solar-induced Chlorophyll Fluorescence to Estimate the GPP of Winter Wheat at the Canopy Level.” International Journal of Remote Sensing 38 (15): 4396–4417. doi:10.1080/01431161.2017.1320449.
   Web of Science ®Google Scholar
• Liu, L., Y. Zhang, J. Wang, and C. Zhao. 2005. “Detecting Solar-Induced Chlorophyll Fluorescence from Field Radiance Spectra Based on the Fraunhofer Line Principle.” Ieee Transactions on Geoscience and Remote Sensing 43 (4): 827–834.
   Web of Science ®Google Scholar
• Liu, X., and L. Liu. 2014. “Assessing Band Sensitivity to Atmospheric Radiation Transfer for Space-Based Retrieval of Solar-Induced Chlorophyll Fluorescence.” Remote Sensing 6 (11): 10656–10675. doi:10.3390/rs61110656.
   Web of Science ®Google Scholar
• Louis, J., A. Ounis, J.-M. Ducruet, S. Evain, T. Laurila, T. Thum, M. Aurela, et al. 2005. “Remote Sensing of Sunlight-induced Chlorophyll Fluorescence and Reflectance of Scots Pine in the Boreal Forest during Spring Recovery.” Remote Sensing of Environment 96 (1): 37–48. doi:10.1016/j.rse.2005.01.013.
   Web of Science ®Google Scholar
• Malenovsky, Z., K. B. Mishra, F. Zemek, U. Rascher, and L. Nedbal. 2009. “Scientific and Technical Challenges in Remote Sensing of Plant Canopy Reflectance and Fluorescence.” Journal of Experimental Botany 60 (11): 2987–3004. doi:10.1093/jxb/erp156.
   PubMed Web of Science ®Google Scholar
• McCree, K. J. 1972a. ““The Action Spectrum, Absorptance And Quantum Yield Of Photosynthesis In Crop Plants “.” Agricultural Meteorology 9: 25.
   Google Scholar
• McCree, K. J. 1972b. “Test of Current Definitions of Photosynthetically Active Radiation against Leaf Photosynthesis Data.” Agricultural Meteorology 10: 10. doi:10.1016/0002-1571(72)90045-3.
   Google Scholar
• Meroni, M., C. Panigada, M. Rossini, V. Picchi, S. Cogliati, and R. Colombo. 2009a. “Using Optical Remote Sensing Techniques to Track the Development of Ozone-induced Stress.” Environmental Pollution 157 (5): 1413–1420. doi:10.1016/j.envpol.2008.09.018.
   PubMed Web of Science ®Google Scholar
• Meroni, M., V. Picchi, M. Rossini, S. Cogliati, C. Panigada, C. Nali, G. Lorenzini, and R. Colombo. 2008a. “Leaf Level Early Assessment of Ozone Injuries by Passive Fluorescence and Photochemical Reflectance Index.” International Journal of Remote Sensing 29 (17–18): 5409–5422. doi:10.1080/01431160802036292.
   Web of Science ®Google Scholar
• Meroni, M., M. Rossini, L. Guanter, L. Alonso, U. Rascher, R. Colombo, and J. Moreno. 2009b. “Remote Sensing of Solar-induced Chlorophyll Fluorescence: Review of Methods and Applications.” Remote Sensing of Environment 113 (10): 2037–2051. doi:10.1016/j.rse.2009.05.003.
   Web of Science ®Google Scholar
• Meroni, M., M. Rossini, V. Picchi, C. Panigada, S. Cogliati, C. Nali, and R. Colombo. 2008b. “Assessing Steady-state Fluorescence and PRI from Hyperspectral Proximal Sensing as Early Indicators of Plant Stress: The Case of Ozone Exposure.” Sensors 8: 15. doi:10.3390/s8031740.
   Web of Science ®Google Scholar
• Miao, G., K. Guan, X. Yang, C. J. Bernacchi, J. A. Berry, E. H. DeLucia, J. Wu, et al. 2018. “Sun-Induced Chlorophyll Fluorescence, Photosynthesis, and Light Use Efficiency of a Soybean Field from Seasonally Continuous Measurements.” Journal of Geophysical Research: Biogeosciences. doi:10.1002/2017jg004180.
   Web of Science ®Google Scholar
• Migliavacca, M., O. Perez-Priego, M. Rossini, T. S. El-Madany, G. Moreno, C. van der Tol, U. Rascher, et al. 2017. “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.” The New Phytologist. doi:10.1111/nph.14437.
   PubMed Web of Science ®Google Scholar
• Monteith, J. L. 1972. “Solar Radiation and Productivity in Tropical Ecosystems.” Journal of Applied Ecology 9 (3): 19. doi:10.2307/2401901.
   Web of Science ®Google Scholar
• Monteith, J. L. 1977. “Climate and the Efficiency of Crop Production in Britain.” Philosophical Transactions of the Royal Society 281: 17.
   Web of Science ®Google Scholar
• Moya, I., L. Camenen, S. Evain, Y. Goulas, Z. G. Cerovic, G. Latouche, J. Flexas, and A. Ounis. 2004. “A New Instrument for Passive Remote Sensing1. Measurements of Sunlight-induced Chlorophyll Fluorescence.” Remote Sensing of Environment 91 (2): 186–197. doi:10.1016/j.rse.2004.02.012.
   Web of Science ®Google Scholar
• Pettorelli, N., J. O. Vik, A. Mysterud, J. M. Gaillard, C. J. Tucker, and N. C. Stenseth. 2005. “Using the Satellite-derived NDVI to Assess Ecological Responses to Environmental Change.” Trends in Ecology & Evolution 20 (9): 503–510. doi:10.1016/j.tree.2005.05.011.
   PubMed Web of Science ®Google Scholar
• Plascyk, J. A. 1975. “The MK II Fraunhofer Line Discriminator (FLD -II) for Airborne and Orbital Remote Sensing of Solar-Stimulated Luminescence.” Optical Engineering 14 (4): 8. doi:10.1117/12.7971842.
   Web of Science ®Google Scholar
• Plascyk, J. A., and F. C. Gabriel. 1975. “The Fraunhofer Line Discriminator MKII-An Airborne Instrument for Precise and Standardized Ecological Luminescence Measurement.” IEEE Transactions on Instrumentation and Measurement IM-24 (4): 8.
   Web of Science ®Google Scholar
• Porcar-Castell, A., E. Tyystjarvi, J. Atherton, C. van der Tol, J. Flexas, E. E. Pfundel, J. Moreno, C. Frankenberg, and J. A. Berry. 2014. “Linking Chlorophyll a Fluorescence to Photosynthesis for Remote Sensing Applications: Mechanisms and Challenges.” Journal of Experimental Botany 65 (15): 4065–4095. doi:10.1093/jxb/eru191.
   PubMed Web of Science ®Google Scholar
• Rascher, U., G. Agati, L. Alonso, G. Cecchi, S. Champagne, R. Colombo, A. Damm, et al. 2009. “CEFLES2: The Remote Sensing Component to Quantify Photosynthetic Efficiency from the Leaf to the Region by Measuring Sun-induced Fluorescence in the Oxygen Absorption Bands.” Biogeosciences Discussions 6: 2217–2266. doi:10.5194/bgd-6-2217-2009.
   Web of Science ®Google Scholar
• Rossini, M., L. Alonso, S. Cogliati, A. Damm, L. Guanter, T. Julitta, M. Meroni, et al. 2014. “Measuring Sun-induced Chlorophyll Fluorescence: An Evaluation and Synthesis of Existing Field Data.” 5th International workshop on remote sensing of vegetation fluorescence, Paris, France.
   Google Scholar
• Rossini, M., M. Meroni, M. Celesti, S. Cogliati, T. Julitta, C. Panigada, U. Rascher, C. van der Tol, and R. Colombo. 2016. “Analysis of Red and Far-Red Sun-Induced Chlorophyll Fluorescence and Their Ratio in Different Canopies Based on Observed and Modeled Data.” Remote Sensing 8 (5): 412. doi:10.3390/rs8050412.
   Web of Science ®Google Scholar
• Schaepman, M. E., and S. Dangel. 2000. “Solid Laboratory Calibration of a Nonimaging Spectroradiometer.” Applied Optics 39 (21): 11. doi:10.1364/AO.39.003754.
   Web of Science ®Google Scholar
• Schlemmer, M., A. Gitelson, J. Schepers, R. Ferguson, Y. Peng, J. Shanahan, and D. Rundquist. 2013. “Remote Estimation of Nitrogen and Chlorophyll Contents in Maize at Leaf and Canopy Levels.” International Journal of Applied Earth Observation and Geoinformation 25: 47–54. doi:10.1016/j.jag.2013.04.003.
   Web of Science ®Google Scholar
• Sims, D. A., and J. A. Gamon. 2002. “Relationships between Leaf Pigment Content and Spectral Reflectance across a Wide Range of Species, Leaf Structures and Developmental Stages.” Remote Sensing of Environment 81: 337–354. doi:10.1016/S0034-4257(02)00010-X.
   Web of Science ®Google Scholar
• Springer, K., R. Wang, and J. A. Gamon. 2017. “Parallel Seasonal Patterns of Photosynthesis, Fluorescence, and Reflectance Indices in Boreal Trees.” Remote Sensing 9 (7): 691. doi:10.3390/rs9070691.
   Web of Science ®Google Scholar
• Suárez, L., P. J. Zarco-Tejada, G. Sepulcre-Cantó, O. Pérez-Priego, J. R. Miller, J. C. Jiménez-Muñoz, and J. Sobrino. 2008. “Assessing Canopy PRI for Water Stress Detection with Diurnal Airborne Imagery.” Remote Sensing of Environment 112 (2): 560–575. doi:10.1016/j.rse.2007.05.009.
   Web of Science ®Google Scholar
• Van Wittenberghe, S., L. Alonso, J. Verrelst, I. Hermans, R. Valcke, F. Veroustraete, J. Moreno, and R. Samson. 2014. “A Field Study on Solar-induced Chlorophyll Fluorescence and Pigment Parameters along A Vertical Canopy Gradient of Four Tree Species in an Urban Environment.” The Science of the Total Environment 466-467: 185–194. doi:10.1016/j.scitotenv.2013.07.024.
   PubMed Web of Science ®Google Scholar
• Verma, M., D. S. Schimel, B. Evans, C. Frankenberg, J. Beringer, D. T. Drewry, T. S. Magney, et al. 2017. “Effect of Environmental Conditions on the Relationship between Solar-induced Fluorescence and Gross Primary Productivity at an OzFlux Grassland Site.” Journal of Geophysical Research: Biogeosciences 122: 18. doi:10.1002/2016JG003580.
   Web of Science ®Google Scholar
• Viña, A., A. A. Gitelson, A. L. Nguy-Robertson, and Y. Peng. 2011. “Comparison of Different Vegetation Indices for the Remote Assessment of Green Leaf Area Index of Crops.” Remote Sensing of Environment 115 (12): 3468–3478. doi:10.1016/j.rse.2011.08.010.
   Web of Science ®Google Scholar
• Wagle, P., Y. Zhang, C. Jin, and X. Xiao. 2016. “Comparison of Solar-induced Chlorophyll Fluorescence, Light-use Efficiency, and Process-based GPP Models in Maize.” Ecological Applications 26 (4): 12. doi:10.1890/15-1434.
   Web of Science ®Google Scholar
• Wood, J. D., T. J. Griffis, J. M. Baker, C. Frankenberg, M. Verma, and K. Yuen. 2017. “Multiscale Analyses of Solar-induced Florescence and Gross Primary Production.” Geophysical Research Letters 44 (1): 533–541. doi:10.1002/2016gl070775.
   Web of Science ®Google Scholar
• Yang, X., J. Tang, J. F. Mustard, J.-E. Lee, M. Rossini, J. Joiner, J. W. Munger, A. Kornfeld, and A. D. Richardson. 2015. “Solar-induced Chlorophyll Fluorescence that Correlates with Canopy Photosynthesis on Diurnal and Seasonal Scales in a Temperate Deciduous Forest.” Geophysical Research Letters 42: 2977–2987. doi:10.1002/2015gl063201.
   Web of Science ®Google Scholar
• Zarco-Tejada, P. J., A. Catalina, M. R. González, and P. Martín. 2013a. “Relationships between Net Photosynthesis and Steady-state Chlorophyll Fluorescence Retrieved from Airborne Hyperspectral Imagery.” Remote Sensing of Environment 136: 247–258. doi:10.1016/j.rse.2013.05.011.
   Web of Science ®Google Scholar
• Zarco-Tejada, P. J., A. Morales, L. Testi, and F. J. Villalobos. 2013b. “Spatio-temporal Patterns of Chlorophyll Fluorescence and Physiological and Structural Indices Acquired from Hyperspectral Imagery as Compared with Carbon Fluxes Measured with Eddy Covariance.” Remote Sensing of Environment 133: 102–115. doi:10.1016/j.rse.2013.02.003.
   Web of Science ®Google Scholar
• Zhang, Y., L. Guanter, J. A. Berry, J. Joiner, C. van der Tol, A. Huete, A. Gitelson, M. Voigt, and P. Kohler. 2014. “Estimation of Vegetation Photosynthetic Capacity from Space-based Measurements of Chlorophyll Fluorescence for Terrestrial Biosphere Models.” Global Change Biology 20 (12): 3727–3742. doi:10.1111/gcb.12664.
   PubMed Web of Science ®Google Scholar