Quantification of uncertainty caused by geometric location mismatch in the validation of TROPOMI solar-induced chlorophyll fluorescence product

References

• Cescatti, A., B. Marcolla, S. K. Santhana Vannan, J. Y. Pan, M. O. Román, X. Yang, P. Ciais, et al. 2012. “Intercomparison of MODIS Albedo Retrievals and in Situ Measurements Across the Global Fluxnet Network.” Remote Sensing of Environment 121: 323–334. https://doi.org/10.1016/j.rse.2012.02.019.
   Web of Science ®Google Scholar
• Du, S., X. Liu, J. Chen, W. Duan, and L. Liu. 2023. “Addressing Validation Challenges for TROPOMI Solar-Induced Chlorophyll Fluorescence Products Using Tower-Based Measurements and an NIRv-Scaled Approach.” Remote Sensing of Environment 290: 113547. https://doi.org/10.1016/j.rse.2023.113547.
   Web of Science ®Google Scholar
• Du, S., L. Liu, X. Liu, and J. Chen. 2021. “First Investigation of the Relationship Between Solar-Induced Chlorophyll Fluorescence Observed by TanSat and Gross Primary Productivity.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14: 11892–11902. https://doi.org/10.1109/JSTARS.2021.3128355.
   Web of Science ®Google Scholar
• Du, S., L. Liu, X. Liu, J. Guo, J. Hu, S. Wang, and Y. Zhang. 2019. “SIFSpec: Measuring Solar-Induced Chlorophyll Fluorescence Observations for Remote Sensing of Photosynthesis.” Sensors 19 (13): 3009. https://doi.org/10.3390/s19133009.
   PubMed Web of Science ®Google Scholar
• Du, S., L. Liu, X. Liu, X. Zhang, X. Zhang, Y. Bi, and L. Zhang. 2018. “Retrieval of Global Terrestrial Solar-Induced Chlorophyll Fluorescence from TanSat Satellite.” Science Bulletin 63 (22): 1502–1512. https://doi.org/10.1016/j.scib.2018.10.003.
   PubMed Web of Science ®Google Scholar
• Frankenberg, C., J. B. Fisher, J. 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): L17706. https://doi.org/10.1029/2011GL048738.
   Google Scholar
• Frankenberg, C., C. O’Dell, J. Berry, L. Guanter, 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. https://doi.org/10.1016/j.rse.2014.02.007.
   Web of Science ®Google Scholar
• Guanter, L., C. Bacour, A. Schneider, I. Aben, T. A. van Kempen, F. Maignan, C. Retscher, et al. 2021. “The TROPOSIF Global sun-Induced Fluorescence Dataset from the Sentinel-5P TROPOMI Mission.” Earth System Science Data 13 (11): 5423–5440. https://doi.org/10.5194/essd-13-5423-2021.
   Web of Science ®Google Scholar
• Guanter, L., C. Frankenberg, A. Dudhia, P. E. Lewis, J. Gómez-Dans, A. Kuze, H. Suto, and R. G. Grainger. 2012. “Retrieval and Global Assessment of Terrestrial Chlorophyll Fluorescence from GOSAT Space Measurements.” Remote Sensing of Environment 121: 236–251. https://doi.org/10.1016/j.rse.2012.02.006.
   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 111 (14): E1327–E1333. https://doi.org/10.1073/pnas.1320008111.
   PubMed Web of Science ®Google Scholar
• Gupana, R. S., D. Odermatt, I. Cesana, C. Giardino, L. Nedbal, and A. Damm. 2021. “Remote Sensing of sun-Induced Chlorophyll-a Fluorescence in Inland and Coastal Waters: Current State and Future Prospects.” Remote Sensing of Environment 262: 112482. https://doi.org/10.1016/j.rse.2021.112482.
   Web of Science ®Google Scholar
• Joiner, J., Y. Yoshida, L. Guanter, and E. M. Middleton. 2016. “New Methods for the Retrieval of Chlorophyll red Fluorescence from Hyperspectral Satellite Instruments: Simulations Andapplication to GOME-2 and SCIAMACHY.” Atmospheric Measurement Techniques 9 (8): 3939–3967. https://doi.org/10.5194/amt-9-3939-2016.
   Web of Science ®Google Scholar
• Joiner, J., Y. Yoshida, A. P. Vasilkov, Y. Yoshida, L. A. Corp, and E. M. Middleton. 2011. “First Observations of Global and Seasonal Terrestrial Chlorophyll Fluorescence from Space.” Biogeosciences (online) 8 (3): 637–651. https://doi.org/10.5194/bg-8-637-2011.
   Web of Science ®Google Scholar
• Lin, X., S. Wu, B. Chen, Z. Lin, Z. Yan, X. Chen, G. Yin, et al. 2022. “Estimating 10-m Land Surface Albedo from Sentinel-2 Satellite Observations Using a Direct Estimation Approach with Google Earth Engine.” ISPRS Journal of Photogrammetry and Remote Sensing 194: 1–20. https://doi.org/10.1016/j.isprsjprs.2022.09.016.
   Web of Science ®Google Scholar
• Porcar-Castell, A., Z. Malenovský, T. Magney, S. Van Wittenberghe, B. Fernández-Marín, F. Maignan, Y. Zhang, et al. 2021. “Chlorophyll a Fluorescence Illuminates a Path Connecting Plant Molecular Biology to Earth-System Science.” Nature Plants 7 (8): 998–1009. https://doi.org/10.1038/s41477-021-00980-4.
   PubMed Web of Science ®Google Scholar
• Qu, Y., Q. Liu, S. Liang, L. Wang, N. Liu, and S. Liu. 2014. “Direct-Estimation Algorithm for Mapping Daily Land-Surface Broadband Albedo from MODIS Data.” IEEE Transactions on Geoscience and Remote Sensing 52 (2): 907–919. https://doi.org/10.1109/TGRS.2013.2245670.
   Web of Science ®Google Scholar
• 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. https://doi.org/10.1029/92JD01411.
   Web of Science ®Google Scholar
• Roy, D. P., V. Kovalskyy, H. K. Zhang, E. F. Vermote, L. Yan, S. S. Kumar, and A. Egorov. 2016. “Characterization of Landsat-7 to Landsat-8 Reflective Wavelength and Normalized Difference Vegetation Index Continuity.” Remote Sensing of Environment 185: 57–70. https://doi.org/10.1016/j.rse.2015.12.024.
   PubMed Web of Science ®Google Scholar
• Roy, D. P., J. Li, H. K. Zhang, L. Yan, H. Huang, and Z. Li. 2017. “Examination of Sentinel-2A Multi-Spectral Instrument (MSI) Reflectance Anisotropy and the Suitability of a General Method to Normalize MSI Reflectance to Nadir BRDF Adjusted Reflectance.” Remote Sensing of Environment 199: 25–38. https://doi.org/10.1016/j.rse.2017.06.019.
   Web of Science ®Google Scholar
• Schaaf, C. B., F. Gao, A. H. Strahler, W. Lucht, X. Li, T. Tsang, N. C. Strugnell, et al. 2002. “First Operational BRDF, Albedo Nadir Reflectance Products from MODIS.” Remote Sensing of Environment 83: 135–148. https://doi.org/10.1016/S0034-4257(02)00091-3.
   Web of Science ®Google Scholar
• Sun, Y., C. Frankenberg, M. Jung, J. Joiner, L. Guanter, P. Köhler, and T. Magney. 2018. “Overview of Solar-Induced Chlorophyll Fluorescence (SIF) from the Orbiting Carbon Observatory-2: Retrieval, Cross-Mission Comparison, and Global Monitoring for GPP.” Remote Sensing of Environment 209: 808–823. https://doi.org/10.1016/j.rse.2018.02.016.
   Web of Science ®Google Scholar
• Tang, R., X. Wu, J. Wang, L. Zheng, Q. Zeng, J. Wen, and Q. Xiao. 2023. “A Geometric Location Matching Method for Validation of Satellite Products: A Case Study for Albedo.” IEEE Geoscience and Remote Sensing Letters 19: 3001405. https://doi.org/10.1109/LGRS.2023.3253550.
   Google Scholar
• Turner, A. J., P. Köhler, T. S. Magney, C. Frankenberg, I. Fung, and R. C. Cohen. 2020. “A Double Peak in the Seasonality of California’s Photosynthesis as Observed from Space.” Biogeosciences (online) 17 (2): 405–422. https://doi.org/10.5194/bg-17-405-2020.
   Web of Science ®Google Scholar
• Wu, X., J. Wen, Q. Xiao, Y. Bao, D. You, J. Wang, D. Ma, X. Lin, and B. Gong. 2021. “Quantification of the Uncertainty Caused by Geometric Registration Errors in Multiscale Validation of Satellite Products.” IEEE Geoscience and Remote Sensing Letters 9: 1–5. https://doi.org/10.1109/LGRS.2021.3099833.
   Google Scholar
• Wu, X., J. Wen, Q. Xiao, Q. Liu, J. Peng, B. Dou, X. Li, D. You, Y. Tang, and Q. Liu. 2016. “Coarse Scale in Situ Albedo Observations Over Heterogeneous Snow-Free Land Surfaces and Validation Strategy: A Case of MODIS Albedo Products Preliminary Validation Over Northern China.” Remote Sensing of Environment 184: 25–39. https://doi.org/10.1016/j.rse.2016.06.013.
   Web of Science ®Google Scholar
• Wu, X., Q. Xiao, J. Wen, D. You, and A. Hueni. 2019. “Advances in Quantitative Remote Sensing Product Validation: Overview and Current Status.” Earth-Science Reviews 196: 102875. https://doi.org/10.1016/j.earscirev.2019.102875.
   Web of Science ®Google Scholar
• Yang, J., and X. Huang. 2021. “The 30 m Annual Land Cover Dataset and its Dynamics in China from 1990 to 2019.” Earth System Science Data 13 (8): 3907–3925. https://doi.org/10.5194/essd-13-3907-2021.
   Web of Science ®Google Scholar
• Yu, G. R., X. F. Wen, X. M. Sun, B. D. Tanner, X. H. Lee, and J. Y. Chen. 2006. “Overview of ChinaFLUX and Evaluation of its Eddy Covariance Measurement.” Agricultural and Forest Meteorology 137: 125–137. https://doi.org/10.1016/j.agrformet.2006.02.011.
   Web of Science ®Google Scholar
• Zeng, Y., G. Badgley, B. Dechant, Y. Ryu, M. Chen, and J. A. Berry. 2019. “A Practical Approach for Estimating the Escape Ratio of Near-Infrared Solar-Induced Chlorophyll Fluorescence.” Remote Sensing of Environment 232: 111209. https://doi.org/10.1016/j.rse.2019.05.028.
   Web of Science ®Google Scholar
• Zhang, Y., Q. Zhang, L. Liu, Y. Zhang, S. Wang, W. Ju, G. Zhou, et al. 2021. “ChinaSpec: A Network for Long-Term Ground-Based Measurements of Solar-Induced Fluorescence in China.” Journal of Geophysical Research: Biogeosciences 126: e2020JG006042. https://doi.org/10.1029/2020JG006042.
   Web of Science ®Google Scholar
• Zhong, Y., Q. Xiao, J. Wen, X. Zheng, M. Ma, Y. Qu, K. Zheng, et al. 2020. “Design and realization of ground object background spectral library for surveying and mapping.” Journal of Remote Sensing 24: 701–716. https://doi.org/10.11834/jrs20209482.
   Google Scholar
• Zhu, X., Y. Hou, Y. Zhang, X. Lu, Z. Liu, and Q. Weng. 2021. “Potential of Sun-Induced Chlorophyll Fluorescence for Indicating Mangrove Canopy Photosynthesis.” Journal of Geophysical Research: Biogeosciences 126 (4): e2020JG006159. https://doi.org/10.1029/2020JG006159.
   Web of Science ®Google Scholar