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

Figures and Tables from this paper

Estimating soil organic carbon from soil reflectance: a review
A New Concept of Soil Line Retrieval from Landsat 8 Images for Estimating Plant Biophysical Parameters
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 42 REFERENCES
Field-Scale Mapping of Surface Soil Organic Carbon Using Remotely Sensed Imagery
An Automated Soil Line Identification Routine for Remotely Sensed Images
Estimation of Soil Organic Matter from Red and Near‐Infrared Remotely Sensed Data Using a Soil Line Euclidean Distance Technique
Soil resources mapping: A remote sensing perspective
The soil line concept in remote sensing
RELATING ORGANIC MATTER AND CLAY CONTENT TO THE MULTISPECTRAL RADIANCE OF SOILS
...
1
2
3
4
5
...