Spatiotemporal prediction and mapping of heavy metals at regional scale using regression methods and landsat 7

HIGHLIGHTS

  • who: Abdul M. Mouazen and colleagues from the Department of Environment, Ghent University, Coupure Links, Gent have published the paper: Spatiotemporal Prediction and Mapping of Heavy Metals at Regional Scale Using Regression Methods and Landsat 7, in the Journal: (JOURNAL)
  • what: To achieve the project aim, the best performing 3 of 23 prediction models were determined by comparing their prediction accuracy. To compare the prediction performance of PLSR, RF and SVM models, the model classification scheme based on RPD and proposed by Viscarra Rossel et_al was used. In the current study, two kernels were adopted . . .

     

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