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… CONTINUE READING

    Figures and Tables from this paper.

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 46 CITATIONS

    Retrieval of Soil Salt Content From an Integrated Approach of Combining Inversed Reflectance Model and Regressions: An Experimental Study

    VIEW 1 EXCERPT
    CITES BACKGROUND

    FILTER CITATIONS BY YEAR

    2008
    2020

    CITATION STATISTICS

    • 2 Highly Influenced Citations

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 30 REFERENCES

    Introduction to Remote Sensing

    VIEW 2 EXCERPTS
    HIGHLY INFLUENTIAL

    CD Rom.

    • G. Micieli, D. Bosone, +4 authors G. Nappi
    • Medicine
    • Emergency nurse : the journal of the RCN Accident and Emergency Nursing Association
    • 1996

    Estimating green LAI from multispectral aerial within field variability of crop and soil using field data and spectral

    • 1983
    VIEW 9 EXCERPTS
    HIGHLY INFLUENTIAL

    Estimation of soil organic matter Baumgardner, and D.E

    • 2002
    VIEW 14 EXCERPTS
    HIGHLY INFLUENTIAL

    Remote Sens. mapping of surface soil organic carbon using remotely sensed imagand Image Int

    • ery. Soil Sci. Soc. Am. J
    • 2000
    VIEW 11 EXCERPTS
    HIGHLY INFLUENTIAL

    Soil wetting and texture

    • 2004
    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Application of the tasseled cap analysis. Part 2

    • Application of the tasseled cap analysis. Part 2
    • 1982
    VIEW 1 EXCERPT
    HIGHLY INFLUENTIAL