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.

References

J. W. Rouse, R. H. Haas, J. A. Schell, and D. W. Deering, “Monitoring the vernal advancement and retrogradation (green wave effect) of natural vegetation,” 1973.

D. Xu, “Compare NDVI Extracted from Landsat 8 Imagery with that from Landsat 7 Imagery,” Am. J. Remote Sens., vol. 2, no. 2, p. 10, 2014.

A. Ahmad, B. M. Aboobaider, M. S. M. Isa, N. M. Hashim, M. Rosul, S. Muhamad, and S. Man, “Temporal changes in urban green space based on normalized difference vegetation index,” Appl. Math. Sci., vol. 8, no.

, pp. 2743–2751, 2014.

R. Geerken, B. Zaitchik, and J. P. Evans, “Classifying rangeland vegetation type and coverage from NDVI time series using Fourier Filtered Cycle Similarity,” Int. J. Remote Sens., vol. 26, no.4, pp. 5535–5554, 2005.

a. K. Bhandari, a. Kumar, and G. K. Singh, “Feature Extraction using Normalized Difference Vegetation Index (NDVI): A Case Study of Jabalpur City,” Procedia Technol., vol. 6, pp. 612–621, 2012.

H. Fan, X. Fu, Z. Zhang, and Q. Wu, “Phenology-Based Vegetation Index Differencing for Mapping of Rubber Plantations Using Landsat OLI Data,” Remote Sens., vol. 7, no. 5, pp. 6041–6058, 2015.

B. Satyanarayana, K. A. Mohamad, I. F. Idris, M.-L. Husain, and F. Dahdouh-Guebas, “Assessment of mangrove vegetation based on remote sensing and ground-truth measurements at Tumpat, Kelantan Delta, East Coast of Peninsular Malaysia,” Int. J. Remote Sens., vol. 32, no. 6, pp. 1635–1650, 2011.

A. Viña, A. a. Gitelson, A. L. Nguy-Robertson, and Y. Peng, “Comparison of different vegetation indices for the remote assessment of green leaf area index of crops,” Remote Sens. Environ., vol. 115, no.

, pp. 3468–3478, 2011.

R. G. Congalton, “A review of assessing the accuracy of classifications of remotely sensed data,” Remote Sens. Environ., vol. 37, no. 1, pp. 35–46, 1991.

NDVI, the Foundation for Remote Sensing Phenology

Downloads

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

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.