Journal of Range and Watershed Managment

The spatial extrapolation of soil great group by application of Random Forest in arid region of central Iran (Faryab-Kahnooj)

Document Type : Research Paper

Authors

Mehrnaz Neyestani 1
Fereydoon Sarmadian 2
Azam Jafari 3
Ali Keshavarzi 4

1 Soil Science Dep. University of Tehran

2 Soil Science Dep. of University of Tehran

3 Soil Science Dep. Faculty of Agriculture,Shahid Bahonar University, Kerman

4 University of Tehran

https://doi.org/10.22059/jrwm.2020.290211.1423
Abstract
In digital soil mapping, soil characteristic and classes could be extracted truly by numerical and quantitative modelling. Hence, derived rules could be fitted to similar regions for achieving ruled relations on areas without soil information which is called as extrapolation. In the present study, achieving digital soil class map of an area without adequate soil information by Random forest was tested by extrapolation at great group level. The results show overall accuracy 88% and kappa 0.77 of donor area which is able to fit over its similar region. Results of extrapolation show overall accuracy 81% and kappa 0.61 of recipient area which could show logical concordance to produce soil class map of recipient area without applying related soil samples of this area in short time and low cost. Since, extrapolation could be as an efficient way to predict soil classes of unknown areas.

Keywords

Digital soil mapping
Donor area
Recipient area
Extrapolation
Random forest
Soil class
Journal of Range and Watershed Managment
Volume 72, Issue 4
Winter 2020
Pages 1147-1166

  • Receive Date 16 October 2019
  • Revise Date 21 March 2020
  • Accept Date 03 February 2020
  • Publish Date 20 February 2020

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