Knowledge graph centered on Partial Least Squares Regression with 74 nodes and 171 connections. Top connected: Hummingbird, Ipomopsis, Delphinium, I. aggregata, Ipomopsis aggregata.
Uses hyperspectral imaging (400-1000 nm) combined with Partial Least Squares Regression to correlate spectral signatures with measured leaf traits like LMA and LWC. Enables non-destructive remote measurement of plant traits.
Synthesized from method descriptions across 5 papers using this protocol.
Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Can flowers affect land surface albedo and soil microclimates? (2021), International Journal of Biometeorology. The protocol was originally introduced by Correlation of leaf and community traits and various spectra in meadows along an elevation gradient (2016). Implementations in other papers (listed below) may differ.