Mapping Rubber Tree Stand Age Using Pléiades Satellite Imagery: A Case Study in Talang District, Phuket, Thailand

  • Werapong Koedsin Prince of Songkla University
  • Alfredo Huete University of Technology Sydney
Keywords: rubber tree, Hevea brasiliensis, remote sensing, age classification, feature selection

Abstract

The rubber stand age information is an important variable for determining the distribution of carbon pools and fluxes in rubber plantation ecosystems as well as for production management. This study demonstrates the capability of high spatial resolution satellite imagery with the help of feature selection (i.e., Sequential Forward Floating Selection) to improve the accuracy of rubber stand age mapping. It was found that the Pléiades imagery with the help of Sequential Forward Floating Selection can successfully classify rubber stands age. The total testing accuracy was improved from 94.07% to 94.92% and 96.61% after applying the Principal Component and the Sequential Forward Floating Selection algorithms, respectively. Since the methodology proposed in this study can accurately classify 3 classes of rubber stand age, it is anticipated that this methodology can be used as a guideline for rubber tree stand age mapping in other study areas.

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Author Biographies

Werapong Koedsin

Tropical Plants Biology Research Unit, Faculty of Technology and Environment, Prince of Songkla University, Phuket Campus, Kathu, Phuket, Thailand

Alfredo Huete

Plant Functional Biology and Climate Change Cluster (C3), University of Technology, Sydney, NSW 2007, Australia

Published In
Vol 19 No 4, Jul 31, 2015
How to Cite
[1]
W. Koedsin and A. Huete, “Mapping Rubber Tree Stand Age Using Pléiades Satellite Imagery: A Case Study in Talang District, Phuket, Thailand”, Eng. J., vol. 19, no. 4, pp. 45-56, Jul. 2015.