Soil Property Analysis using Principal Components Analysis, Soil Line, and Regression Models

@article{Fox2005SoilPA,
  title={Soil Property Analysis using Principal Components Analysis, Soil Line, and Regression Models},
  author={G. Fox and Roopa Metla},
  journal={Soil Science Society of America Journal},
  year={2005},
  volume={69},
  pages={1782-1788}
}
  • G. Fox, Roopa Metla
  • Published 2005
  • Environmental Science
  • Soil Science Society of America Journal
Past research has attempted to relate surface characteristics of soils to reflectance from remotely sensed images to provide a means for quantifying spatial heterogeneity. Existing procedures have proven valuable, but no research has been performed to compare these techniques. The objective of this research was to compare existing methodologies, that is, principal components analysis (PCA), Chen et al.'s regression model, and the soil line Euclidean distance (SLED) technique, for quantifying… Expand
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