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Research Letter

Semi-empirical models for estimating canopy chlorophyll content: the importance of prior information

, , , , &
Pages 1109-1116 | Received 19 Jun 2023, Accepted 27 Sep 2023, Published online: 03 Oct 2023

References

  • Ali, A. M., R. Darvishzadeh, A. Skidmore, T. W. Gara, B. O’Connor, C. Roeoesli, M. Heurich, et al. 2020. “Comparing Methods for Mapping Canopy Chlorophyll Content in a Mixed Mountain Forest Using Sentinel-2 Data.” International Journal of Applied Earth Observation and Geoinformation 87:102037. https://doi.org/10.1016/j.jag.2019.102037.
  • Clevers, J. G. P. W., and A. A. Gitelson. 2013. “Remote Estimation of Crop and Grass Chlorophyll and Nitrogen Content Using Red-Edge Bands on Sentinel-2 And-3.” International Journal of Applied Earth Observation and Geoinformation 23:344–351. https://doi.org/10.1016/j.jag.2012.10.008.
  • Darvishzadeh, R., C. Atzberger, A. K. Skidmore, and A. A. Abkar. 2009. “Leaf Area Index Derivation from Hyperspectral Vegetation Indices and the Red Edge Position.” International Journal of Remote Sensing 30 (23): 6199–6218. https://doi.org/10.1080/01431160902842342.
  • Demmig-Adams, B., and W. W. Adams. 1992. “Photoprotection and Other Responses of Plants to High Light Stress.” Annual Review of Plant Physiology and Plant Molecular Biology 43 (1): 599–626. https://doi.org/10.1146/annurev.pp.43.060192.003123.
  • Féret, J.-B., A. A. Gitelson, S. D. Noble, and S. Jacquemoud. 2017. “PROSPECT-D: Towards Modeling Leaf Optical Properties Through a Complete Lifecycle.” Remote Sensing of Environment 193:204–215. https://doi.org/10.1016/j.rse.2017.03.004.
  • Gitelson, A. A., A. Viña, V. Ciganda, D. C. Rundquist, and T. J. Arkebauer. 2005. “Remote Estimation of Canopy Chlorophyll Content in Crops.” Geophysical Research Letters 32 (8): L08403. https://doi.org/10.1029/2005gl022688.
  • Houborg, R., M. McCabe, A. Cescatti, F. Gao, M. Schull, and A. Gitelson. 2015. “Joint Leaf Chlorophyll Content and Leaf Area Index Retrieval from Landsat Data Using a Regularized Model Inversion System (REGFLEC).” Remote Sensing of Environment 159:203–221. https://doi.org/10.1016/j.rse.2014.12.008.
  • Houlès, V., M. Guérif, and B. Mary. 2007. “Elaboration of a Nitrogen Nutrition Indicator for Winter Wheat Based on Leaf Area Index and Chlorophyll Content for Making Nitrogen Recommendations.” The European Journal of Agronomy 27 (1): 1–11. https://doi.org/10.1016/j.eja.2006.10.001.
  • Jacquemoud, S., and F. Baret. 1990. “PROSPECT: A Model of Leaf Optical Properties Spectra.” Remote Sensing of Environment 34 (2): 75–91. https://doi.org/10.1016/0034-4257(90)90100-z.
  • le Maire, G., C. Marsden, Y. Nouvellon, J.-L. Stape, and F. J. Ponzoni. 2012. “Calibration of a Species-Specific Spectral Vegetation Index for Leaf Area Index (LAI) Monitoring: Example with MODIS Reflectance Time-Series on Eucalyptus Plantations.” Remote Sensing 4 (12): 3766–3780. https://doi.org/10.3390/rs4123766.
  • Li, D., J. M. Chen, W. Yu, H. Zheng, X. Yao, W. Cao, D. Wei. et al. 2022. “Assessing a Soil-Removed Semi-Empirical Model for Estimating Leaf Chlorophyll Content.” Remote Sensing of Environment 282:113284. https://doi.org/10.1016/j.rse.2022.113284.
  • Li, D., J. M. Chen, X. Zhang, Y. Yan, J. Zhu, H. Zheng, K. Zhou. et al. 2020. “Improved Estimation of Leaf Chlorophyll Content of Row Crops from Canopy Reflectance Spectra Through Minimizing Canopy Structural Effects and Optimizing Off-Noon Observation Time.” Remote Sensing of Environment 248:111985. https://doi.org/10.1016/j.rse.2020.111985.
  • Li, D., T. Cheng, M. Jia, K. Zhou, N. Lu, X. Yao, Y. Tian. et al. 2018. “PROCWT: Coupling PROSPECT with Continuous Wavelet Transform to Improve the Retrieval of Foliar Chemistry from Leaf Bidirectional Reflectance Spectra.” Remote Sensing of Environment 206:1–14. https://doi.org/10.1016/j.rse.2017.12.013.
  • Liu, Y. N., D. X. Sun, X. N. Hu, X. Ye, Y. D. Li, S. F. Liu, et al. 2019. “The Advanced Hyperspectral Imager: Aboard China’s GaoFen-5 Satellite.” IEEE Geoscience and Remote Sensing Magazine 7:23–32. https://doi.org/10.1109/MGRS.2019.2927687.
  • Rivera, J. P., J. Verrelst, G. Leonenko, and J. Moreno. 2013. “Multiple Cost Functions and Regularization Options for Improved Retrieval of Leaf Chlorophyll Content and LAI Through Inversion of the PROSAIL Model.” Remote Sensing 5 (7): 3280–3304. https://doi.org/10.3390/rs5073280.
  • Spafford, L., G. le Maire, A. MacDougall, F. de Boissieu, and J.-B. Féret. 2021. “Spectral Subdomains and Prior Estimation of Leaf Structure Improves PROSPECT Inversion on Reflectance or Transmittance Alone.” Remote Sensing of Environment 252:112176. https://doi.org/10.1016/j.rse.2020.112176.
  • Verhoef, W., L. Jia, Q. Xiao, and Z. Su. 2007. “Unified Optical-Thermal Four-Stream Radiative Transfer Theory for Homogeneous Vegetation Canopies.” IEEE Transactions on Geoscience and Remote Sensing 45 (6): 1808–1822. https://doi.org/10.1109/TGRS.2007.895844.
  • Verrelst, J., J. Pablo Rivera, F. Veroustraete, J. Munoz-Mari, J. G. P. W. Clevers, G. Camps-Valls, and J. Moreno. 2015. “Experimental Sentinel-2 LAI Estimation Using Parametric, Non-Parametric and Physical Retrieval Methods - a Comparison.” ISPRS Journal of Photogrammetry and Remote Sensing 108:260–272. https://doi.org/10.1016/j.isprsjprs.2015.04.013.
  • Weiss, M., F. Jacob, and G. Duveiller. 2020. “Remote Sensing for Agricultural Applications: A Meta-Review.” Remote Sensing of Environment 236:111402. https://doi.org/10.1016/j.rse.2019.111402.

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