Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery

@article{Armston2009PredictionAV,
  title={Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery},
  author={John David Armston and Robert Denham and Tim Danaher and Peter Scarth and Trevor Moffiet},
  journal={Journal of Applied Remote Sensing},
  year={2009},
  volume={3}
}
The detection of long term trends in woody vegetation in Queensland, Australia, from the Landsat-5 TM and Landsat-7 ETM+ sensors requires the automated prediction of overstorey foliage projective cover (FPC) from a large volume of Landsat imagery. This paper presents a comparison of parametric (Multiple Linear Regression, Generalized Linear Models) and machine learning (Random Forests, Support Vector Machines) regression models for predicting overstorey FPC from Landsat-5 TM and Landsat-7 ETM… CONTINUE READING

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