Asset Details

  • Description:
  • Model types of leaf angle distributions (LAD) were accurately identified by BNR, but not by the classical algorithms (left). The hinge‐angle and Miller algorithms were excluded because they are independent of LAD. Depicted on the right is an example of the estimated LADs in reference to the true LAD
  • License:
  • Rights Managed
  • Rights Holder:
  • John Wiley & Sons, Inc.
  • License Rights Holder:
  • Methods in Ecology and Evolution © 2019 British Ecological Society
  • Asset Type:
  • Image
  • Asset Subtype:
  • Image Orientation:
  • Landscape
  • Image Dimensions:
  • 2128 x 679
  • Image File Size:
  • 239 KB
  • Creator:
  • Kaiguang Zhao, Youngryel Ryu, Tongxi Hu, Mariano Garcia, Yang Li, Zhen Liu, Alexis Londo, Chao Wang, Ryan Chisholm
  • Credit:
  • Zhao, K., Ryu, Y., & Hu, T. (2019). How to better estimate leaf area index and leaf angle distribution from digital hemispherical photography? Switching to a binary nonlinear regression paradigm. Methods in Ecology and Evolution, 10(11), 1864-1874. https://doi.org/10.1111/2041-210X.13273.
  • Collection:
  • Keywords:
  • Restrictions:
  • Property Release:
  • No
  • Model Release:
  • No
  • Purchasable:
  • Yes
  • Sensitive Materials:
  • No
  • Article Authors:
  • Kaiguang Zhao, Youngryel Ryu, Tongxi Hu, Mariano Garcia, Yang Li, Zhen Liu, Alexis Londo, Chao Wang, Ryan Chisholm
  • Article Copyright Year:
  • 2019
  • Publication Volume:
  • 10
  • Publication Issue:
  • 11
  • Publication Date:
  • 11/01/2019
  • DOI:
  • https://doi.org/10.1111/2041-210X.13273

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