Here you can find further reading on the topic. But keep in mind that the use of panoramic imagery in plant biology is a new development, so there is little literature especially in peer-reviewed journals.
Our manuscript was recently accepted into New Phytologist as a methods study. Here you can find the AAM version: Ribas Costa V., et al. UAS spherical photography for the vertical characterisation of canopy structural traits
In Winter 2021, Vicent took the first steps in using drone-based spherical imagery to estimate gap fraction and LAI.
Vicent Agustí Ribas Costa, 2021, Design and validation of a new technique for estimating canopy parameters: UAS-based spherical (360)photography, description of the forest canopy from inside.
Haozhou Wang’s recent thesis helped inspire Vicent’s work.
We used Haozhou Wang’s code for Vicent’s work, find it on Github here. Note that our app now uses a different technique/algorithm for the same ends (reprojection from panorama to hemispherical image). Haozhou WANG, 2019, ESTIMATING FOREST ATTRIBUTES FROM SPHERICAL IMAGES, University of New Brunswick
Here is a fun study that uses panoramic imagery collected with a smartphone to retrieve LAI.
A Z Andis Arietta, 2021, Estimation of forest canopy structure and understory light using spherical panorama images from smartphone photography, Forestry: An International Journal of Forest Research;, cpab034, https://doi.org/10.1093/forestry/cpab034