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Partial Least Squares Regression

Subcategory: remote sensing
Standard reference: Wold et al., 2001
Papers: 5 | Mentions: 9

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Description

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.

Typical Equipment

  • SOC 710 hyperspectral camera
  • digital camera
  • weighing equipment
  • 50% reflective standard
  • ENVI software
  • MATLAB

Output Measurements

  • leaf mass per area (LMA)
  • leaf water content (LWC)
  • spectral reflectance