Influence of the canopy BRDF characteristics and illumination conditions on the retrieval of solar-induced chlorophyll fluorescence

International Journal of Remote Sensing

Volumn 39, Issue 6, 2018, Pages 1782-1799

  Liu, Xinjie ^a   Liu, Liangyun ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC RADIATION; CHLOROPHYLL; DISTRIBUTION FUNCTIONS; FILLING; FLUORESCENCE; OXYGEN; REFLECTION;

BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTIONS; CHLOROPHYLL FLUORESCENCE; DIRECT AND DIFFUSE RADIATIONS; ILLUMINATION CONDITIONS; NONLINEAR CONTRIBUTIONS; OXYGEN ABSORPTION BANDS; PHYSICAL MECHANISM; REFLECTANCE SPECTRUM;

RADIATION;

ABSORPTION; CANOPY ARCHITECTURE; CHLOROPHYLL; COMPUTER SIMULATION; DATA SET; FLUORESCENCE; MODEL VALIDATION; NUMERICAL MODEL; REMOTE SENSING; SPECTRAL REFLECTANCE;

EID: 85046862220     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2017.1404165     Document Type: Article

References (27)

1. Alonso, L., L. Gomez-Chova, J. Vila-Frances, J. Amoros-Lopez, L. Guanter, J. Calpe, and J. Moreno. 2008. “Improved Fraunhofer Line Discrimination Method for Vegetation Fluorescence Quantification.” IEEE Geoscience and Remote Sensing Letters 5(4): 620-624. doi:10.1109/ LGRS.2008.2001180.
2. Berk, A., G. P. Anderson, P. K. Acharya, L. S. Bernstein, L. Muratov, J. Lee, and R. B. Lockwood. 2005. "“MODTRAN 5: A Reformulated Atmospheric Band Model with Auxiliary Species and Practical Multiple Scattering Options: Update.” Proceedings of SPIE 5806: 662-667. doi:10.1117/12.606026.
3. 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.
4. Damm, A., L. Guanter, W. Verhoef, D. Schläpfer, S. Garbari, and M. E. Schaepman. 2015. “Impact of Varying Irradiance on Vegetation Indices and Chlorophyll Fluorescence Derived from Spectroscopy Data.” Remote Sensing Of Environment 156: 202-215. doi:10.1016/j.rse.2014.09.031.
5. Fournier, A., Y. Goulas, F. Daumard, A. Ounis, S. Champagne, and I. Moya. 2014. “Effects of Vegetation Directional Reflectance on Sun-Induced Fluorescence Retrieval in the Oxygen Absorption Bands.” 5th International Workshop on Remote Sensing of Vegetation Fluorescence, Paris, France, April 22-24.
6. Guanter, L., L. Alonso, L. Gómez-Chova, M. Meroni, R. Preusker, J. Fischer, and J. Moreno. 2010. “Developments for Vegetation Fluorescence Retrieval from Spaceborne High-Resolution Spectrometry in the O2-A and O2-B Absorption Bands.” Journal Of Geophysical Research 115: D19. doi:10.1029/2009jd013716.
7. He, L., J. M. Chen, J. Liu, G. Mo, and J. Joiner. 2017. “Angular Normalization of GOME-2 Sun-Induced Chlorophyll Fluorescence Observation as a Better Proxy of Vegetation Productivity.” Geophysical Research Letters 44(11): 5691-5699. doi:10.1002/2017GL073708.
8. Hernández-Clemente, R., P. R. J. North, A. Hornero, and P. J. Zarco-Tejada. 2017. “Assessing the Effects of Forest Health on Sun-Induced Chlorophyll Fluorescence Using the FluorFLIGHT 3-D Radiative Transfer Model to Account for Forest Structure.” Remote Sensing of Environment 193: 165-179. doi:10.1016/j.rse.2017.02.012.
9. Hosgood, J. 1995. “The JRC Leaf Optical Properties Experiment (LOPEX’93) Report EUR-16096-EN.” European Commission Joint Research Centre, Italy, Institute for Remote Sensing Application.
10. Liu, L., X. Liu, and J. Hu. 2015. “Effects of Spectral Resolution and SNR on the Vegetation Solar-Induced Fluorescence Retrieval Using FLD-based Methods at Canopy Level.” European Journal of Remote Sensing 48: 743-762. doi:10.5721/EuJRS20154841.
11. Liu, L., X. Liu, Z. Wang, and B. Zhang. 2016. “Measurement and Analysis of Bidirectional SIF Emissions in Wheat Canopies.” IEEE Transactions on Geoscience and Remote Sensing 54(5): 2640-2651. doi:10.1109/TGRS.2015.2504089.
12. 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.
13. Liu, X., and L. Liu. 2015. “Improving Chlorophyll Fluorescence Retrieval Using Reflectance Reconstruction Based on Principal Components Analysis.” IEEE Geoscience and Remote Sensing Letters 12(8): 1645-1649. doi:10.1109/LGRS.2015.2417857.
14. Maier, S. W., K. P. Günther, and M. Stellmes. 2003. “Sun-Induced Fluorescence: A New Tool for Precision Farming.” In Digital Imaging and Spectral Techniques: Applications to Precision Agriculture and Crop Physiology, edited by M. McDonald, J. Schepers, L. Tartly, T. Van Toai, and D. Major, 209-222. Madison, WI: American Society of Agronomy Special Publication.
15. Meroni, M., M. Rossini, L. Guanter, L. Alonso, U. Rascher, R. Colombo, and J. Moreno. 2009. “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.
16. Meroni, M., and R. Colombo. 2006. “Leaf Level Detection of Solar Induced Chlorophyll Fluorescence by Means of a Subnanometer Resolution Spectroradiometer.” Remote Sensing Of Environment 103(4): 438-448. doi:10.1016/j.rse.2006.03.016.
17. Migliavacca, M., O. Perez-Priego, M. Rossini, T. S. El-Madany, G. Moreno, C. Van Der Tol, and A. Carrara. 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.” New Phytologist 214(3): 1078-1091. doi:10.1111/nph.14437.
18. Miller, J. R., M. Berger, Y. Goulas, S. Jacquemoud, J. Louis, N. Moise, G. Mohammed, et al. 2005. “Development of a Vegetation Fluorescence Canopy Model.” ESTEC Contract No. 16365/02/NL/FF, Final Report, May 2005.
19. Pinto, F., M. Müller-Linow, A. Schickling, M. P. Cendrero-Mateo, A. Ballvora, and U. Rascher. 2017. “Multiangular Observation of Canopy Sun-Induced Chlorophyll Fluorescence by Combining Imaging Spectroscopy and Stereoscopy.” Remote Sensing 9(5): 415. doi:10.3390/rs9050415.
20. 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): 339-346. doi:10.1117/12.7971842.
21. Porcar-Castell, A., E. Tyystjärvi, J. Atherton, C. Van Der Tol, J. Flexas, E. E. Pfündel, 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 eru 65(15): 4065-4095.
22. Rahman, H., B. Pinty, and M. M. Verstraete. 1993. “Coupled Surface-Atmosphere Reflectance (CSAR) Model: 2. Semiempirical Surface Model Usable with NOAA Advanced Very High Resolution Radiometer Data.” Journal of Geophysical Research: Atmospheres 98: 20791-20801. doi:10.1029/93JD02072.
23. Roujean, J. L., M. Leroy, and P. Y. Deschamps. 1992. “A Bidirectional Reflectance Model of the Earth’s Surface for the Correction of Remote Sensing Data.” Journal of Geophysical Research: Atmospheres 97: 20455-20468.
24. Schaepman-Strub, G., M. E. Schaepman, T. H. Painter, S. Dangel, and J. V. Martonchik. 2006. “Reflectance Quantities in Optical Remote Sensing-Definitions and Case Studies.” Remote Sensing of Environment 103(1): 27-42.
25. Van der Tol, C., W. Verhoef, J. Timmermans, A. Verhoef, and Z. Su. 2009. “An Integrated Model of Soil-canopy Spectral Radiances, Photosynthesis, Fluorescence, Temperature and Energy Balance.” Biogeosciences 6(12): 3109-3129. doi:10.5194/bg-6-3109-2009.
26. Yan, G., H. Ren, H. Ronghai, K. Yan, and W. Zhang. 2012. A Portable Multi-Angle Observation System. Paper presented at the Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International.
27. Zhang, L., S. Wang, C. Huang, Y. Cen, Y. Zhai, and Q. Tong. 2017. “Retrieval of Sun-Induced Chlorophyll Fluorescence Using Statistical Method without Synchronous Irradiance Data.” IEEE Geoscience and Remote Sensing Letters 14(3): 384-388. doi:10.1109/LGRS.2016.2644643.