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ISSN: 1546-9239 (Print)
ISSN: 1554-3641 (Online)
Research Article Open Access

Identification of Characteristics of Land Cover in Mangkauk Catchment Area Using Support Vector Machine (SVM) And Artificial Neural Network (ANN)

Ichsan Ridwan1, Mohammad Bisri2, Fadly Hairannoor Yusran3, Luchman Hakim4 and Syarifuddin Kadir5
  • 1 Department of Physiscs, Faculty of Mathematics and Natural Sciences, University of Lambung Mangkurat, South Kalimantan, Indonesia
  • 2 Department of Water Resources Engineering, Faculty of Engineering, University of Brawijaya, East Java, Indonesia
  • 3 Department of Soil Science, Faculty of Agriculture, University of Lambung Mangkurat South Kalimantan, Indonesia
  • 4 Department of Biology, Faculty of Mathematics and Natural Sciences, University of Brawijaya, East Java, Indonesia
  • 5 Department of Forestry, Faculty of Forestry, University of Lambung Mangkurat, South Kalimantan, Indonesia

Abstract

Land cover is anything that includes any types of appearance on the surface of the earth on a particular land. Information related to land cover can be used as at the parameter to determine the amount of runoff in a catchment area. This study was conducted in the Catchment Area (CA) of Mangkauk using Landsat 8 OLI/TIRS 2014 scene path/row 117/62 with the methods of Support Vector Machine (SVM) and Artificial Neural Network (ANN). The classification of land cover in Mangkauk catchment area included forests, plantations, shrubs, reeds/grasses, rice fields, open lands, settlements and water body. Based on the accuracy test of land cover classification using SVM, the value of the overall accuracy was 97.22% with Kappa Coefficient 0.96, while using ANN 86.33% with Kappa Coefficient 0.79.

American Journal of Applied Sciences
Volume 14 No. 7, 2017, 726-736

DOI: https://doi.org/10.3844/ajassp.2017.726.736

Submitted On: 20 April 2017 Published On: 21 July 2017

How to Cite: Ridwan, I., Bisri, M., Yusran, F. H., Hakim, L. & Kadir, S. (2017). Identification of Characteristics of Land Cover in Mangkauk Catchment Area Using Support Vector Machine (SVM) And Artificial Neural Network (ANN). American Journal of Applied Sciences, 14(7), 726-736. https://doi.org/10.3844/ajassp.2017.726.736

Open AccessCopyright: © 2017 Ichsan Ridwan, Mohammad Bisri, Fadly Hairannoor Yusran, Luchman Hakim and Syarifuddin Kadir. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • ANN
  • Mangkauk Catchment Area
  • Land Cover
  • SVM