173
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Hyperspectral differences between sunlit and shaded leaves in a Manchurian ash canopy in Northeast China

ORCID Icon, , , , , & show all
Pages 800-811 | Received 15 Nov 2021, Accepted 03 Jun 2022, Published online: 13 Jun 2022

References

  • Asner, G. P., R. E. Martin, D. E. Knapp, R. Tupayachi, C. B. Anderson, F. Sinca, N. R. Vaughn, and W. Llactayo. 2017. “Airborne Laser-Guided Imaging Spectroscopy to Map Forest Trait Diversity and Guide Conservation.” Science 355 (6323): 385–389. doi:https://doi.org/10.1126/science.aaj1987.
  • Chen, B., J. Liu, J. M. Chen, H. Croft, A. Gonsamo, L. He, and X. Luo. 2016. “Assessment of Foliage Clumping Effects on Evapotranspiration Estimates in Forested Ecosystems.” Agricultural and Forest Meteorology 216: 82–92. doi:https://doi.org/10.1016/j.agrformet.2015.09.017.
  • Chen, S., T. Hu, L. Luo, Q. He, S. Zhang, M. Li, X. Cui, and H. Li. 2020. “Rapid Estimation of Leaf Nitrogen Content in Apple-Trees Based on Canopy Hyperspectral Reflectance Using Multivariate Methods.” Infrared Physics & Technology. 111. doi:https://doi.org/10.1016/j.infrared.2020.103542.
  • Chlus, Adam, E. L. Kruger, and P. A. Townsend. 2020. “Mapping Three-Dimensional Variation in Leaf Mass per Area with Imaging Spectroscopy and Lidar in a Temperate Broadleaf Forest.” Remote Sensing of Environment 250. doi:https://doi.org/10.1016/j.rse.2020.112043.
  • Czyż, E. A., C. Guillen Escriba, H. Wulf, A. Tedder, M. C. Schuman, F. D. Schneider, and M. E. Schaepman. 2020. “Intraspecific Genetic Variation of a Fagus Sylvatica Population in a Temperate Forest Derived from Airborne Imaging Spectroscopy Time Series.” Ecology and Evolution 10 (14): 7419–7430. doi:https://doi.org/10.1002/ece3.6469.
  • Fotis, A. T., and P. S. Curtis. 2017. ”Effects of structural complexity on within-canopy light environments and leaf traits in a northern mixed deciduous forest.” Tree Physiol 37 (10):1426–35. doi: https://doi.org/10.1093/treephys/tpw124.
  • Hill, Joachim, H. Buddenbaum, and P. A. Townsend. 2019. “Imaging Spectroscopy of Forest Ecosystems: Perspectives for the Use of Space-Borne Hyperspectral Earth Observation Systems.” Surveys in Geophysics 40 (3): 553–588. doi:https://doi.org/10.1007/s10712-019-09514-2.
  • Kamoske, A. G., K. M. Dahlin, S. C. Stark, and S. P. Serbin. 2019. “Leaf Area Density from Airborne LiDar: Comparing Sensors and Resolutions in a Temperate Broadleaf Forest Ecosystem.” Forest Ecology and Management 433 (15): 364–375.
  • Markiet, V., and M. Mõttus. 2020. “Estimation of Boreal Forest Floor Reflectance from Airborne Hyperspectral Data of Coniferous Forests.” Remote Sensing of Environment 249: 112018. doi:https://doi.org/10.1016/j.rse.2020.112018.
  • Qi, Y., S. Ustin, and N. Glenn. 2018. “Imaging Spectroscopic Analysis of Biochemical Traits for Shrub Species in Great Basin, USA.” Remote Sensing 10 (10): 1621. doi:https://doi.org/10.3390/rs10101621.
  • Schweiger, A. K., A. Lussier Desbiens, G. Charron, H. La Vigne, and E. Laliberté. 2020. ”Foliar sampling with an unmanned aerial system (UAS) reveals spectral and functional trait differences within tree crowns.” Canadian Journal of Forest Research 50 (10):966–74. doi: https://doi.org/10.1139/cjfr-2019-0452.
  • Shen, X., L. Cao, N. C. Coops, H. Fan, X. Wu, H. Liu, G. Wang, and F. Cao. 2020. “Quantifying Vertical Profiles of Biochemical Traits for Forest Plantation Species Using Advanced Remote Sensing Approaches.” Remote Sensing of Environment 250: 112041. doi:https://doi.org/10.1016/j.rse.2020.112041.
  • Swinfield, T., S. Both, T. Riutta, B. Bongalov, D. Elias, N. Majalap-Lee, N. Ostle. 2020. ”Imaging Spectroscopy Reveals the Effects of Topography and Logging on the Leaf Chemistry of Tropical Forest Canopy Trees.” Global Change Biology 26 (2): 989–1002. doi:https://doi.org/10.1111/gcb.14903.
  • Takala, T. L. H., and M. Mõttus. 2016. “Spatial Variation of Canopy PRI with Shadow Fraction Caused by Leaf-Level Irradiation Conditions.” Remote Sensing of Environment 182: 99–112. doi:https://doi.org/10.1016/j.rse.2016.04.028.
  • Van der Zande, Dimitry, Jan Stuckens, Willem W. Verstraeten, Bart Muys, and Pol Coppin. 2010. “Assessment of Light Environment Variability in Broadleaved Forest Canopies Using Terrestrial Laser Scanning.” Remote Sensing 2 (6): 1564–1574. doi:https://doi.org/10.3390/rs2061564.
  • Wong, C. Y. S., Petra D’Odorico, Yazad Bhathena, M. A. Arain and I. Ensminger. 2019. “Carotenoid Based Vegetation Indices for Accurate Monitoring of the Phenology of Photosynthesis at the Leaf-Scale in Deciduous and Evergreen Trees.” Remote Sensing of Environment 233: 111407.
  • Wright, I. J. , P. B. Reich, M. Westoby, D. D. Ackerly, Z. Baruch, F. Bongers, J. Cavender-Bares, et al. 2004. ”The worldwide leaf economics spectrum.” Nature 428 (6985):821–7 doi:https://doi.org/10.1038/nature02403.
  • Yang, X., J. Tang, J. F. Mustard, J. Wu, K. Zhao, S. Serbin, and J. -E. Lee. 2016. “Seasonal Variability of Multiple Leaf Traits Captured by Leaf Spectroscopy at Two Temperate Deciduous Forests.” Remote Sensing of Environment 179: 1–12. doi:https://doi.org/10.1016/j.rse.2016.03.026.
  • Yu, Quanzhou, S. Wang, R. A. Mickler, K. Huang, L. Zhou, H. Yan, D. Chen, and S. Han. 2014. “Narrowband Bio-Indicator Monitoring of Temperate Forest Carbon Fluxes in Northeastern China.” Remote Sensing 6 (9): 8986–9013. doi:https://doi.org/10.3390/rs6098986.
  • Yu, Quanzhou, S. Wang, and L. Zhou. 2017. “Investigation into the Role of Canopy Structure Traits and Plant Functional Types in Modulating the Correlation Between Canopy Nitrogen and Reflectance in a Temperate Forest in Northeast China.” Journal of Applied Remote Sensing 11 (4). doi:https://doi.org/10.1117/1.JRS.11.046013.
  • Zhao, Y., Y. Sun, X. Lu, X. Zhao, L. Yang, Z. Sun, and Y. Bai. 2021. “Hyperspectral Retrieval of Leaf Physiological Traits and Their Links to Ecosystem Productivity in Grassland Monocultures.” Ecological Indicators 122: 107267. doi:https://doi.org/10.1016/j.ecolind.2020.107267.
  • Zhou, K., X. Deng, X. Yao, Y. Tian, W. Cao, Y. Zhu, S. L. Ustin, and T. Cheng. 2017. “Assessing the Spectral Properties of Sunlit and Shaded Components in Rice Canopies with Near-Ground Imaging Spectroscopy Data.” Sensors (Basel) 17 (3). doi:https://doi.org/10.3390/s17030578.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.