Classification of Landsat 8 Satellite Data Using NDVI Tresholds

Authors

  • Afirah Taufik Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal Melaka, Malaysia.
  • Sharifah Sakinah Syed Ahmad Department of Industrial Computing, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Asmala Ahmad Department of Industrial Computing, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

Keywords:

Accuracy Assessment, Multispectral, NDVI Supervised, Threshold, Vegetation,

Abstract

This study aims to classify Landsat 8 satellite data using NDVI thresholds. Initially, visible and near infrared bands of Landsat 8 satellite were used to derive Normalized Different Vegetation Index (NDVI) image. Vegetation, non-vegetation and water areas were then analyzed where thresholds for separating them are carefully determined with the aid of ground truth information of the study area. Density slicing was performed in order to separate the image into different land covers. Eventually, color mapping and class labeling were done to complete the classification process. The accuracy of the classified image is then assessed using a confusion matrix where overall classification accuracy and Kappa coefficient are computed. The result shows that NDVI-based classification is able to classify the Landsat 8 satellite data with a high accuracy.

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Published

2016-07-01

How to Cite

Taufik, A., Syed Ahmad, S. S., & Ahmad, A. (2016). Classification of Landsat 8 Satellite Data Using NDVI Tresholds. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(4), 37–40. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1168

Issue

Vol. 8 No. 4: Pioneering Future Innovation Through Green Technology II

Section

Articles

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