Trend analysis of Normalized Difference Vegetation Index using Landsat Satellite data: Study from in and Gondar town, North West Ethiopia

Authors

  • Muralitharan Jothimani Assistant Professor
  • Wuletaw Mulualem Lecturer

DOI:

https://doi.org/10.37591/joci.v10i3.3657

Abstract

Abstract

 

This current research study presents the change detection method for the study of Satellite image supported on Normalized Difference Vegetation Index (NDVI). NDVI utilizes the Multi-Spectral remote sensing data method to determine Vegetation Index, land cover classification, vegetation, water bodies, bush land, agricultural area, thick forest and thin forest with few bands grouping of the remote sensed data. Land resources are easily understood by calculating their Normalized Difference Vegetation Index for Landuse and land cover classification. Remote Sensing data from Landsat TM for the years 1999 and 2004 and Landsat 8- OLI images for the year 2017 were used for this study. The results of this study show that the NDVI is highly useful in detecting the surface features of the visible area which are extremely beneficial for policy makers in decision making. The Vegetation analysis can be helpful in predicting the unfortunate natural disasters to provide humanitarian aid, damage assessment and furthermore to device new protection strategies. From the empirical study, the forest areas have decreased by about 13% and 16% from 2004 to 2017 respectively from compare to year 1999.  

 

Keywords: Normalized Difference Vegetation Index, Landsat satellite image, GIS, Gondar, Ethiopia.

Author Biographies

  • Muralitharan Jothimani, Assistant Professor
    Department of Geology, College of Natural and Computational Sciences, University of Gondar, Ethiopia
  • Wuletaw Mulualem, Lecturer

    Department of Geology, University

    of Gondar, Ethiopia

Downloads

Published

2020-01-31

Issue

Vol. 10 No. 3 (2019)

Section

Articles

License

Journal Title:

Title of the Paper:

Corresponding Author’s Information:

Name: Address:

E-mail:

Contact Number:

It is herein agreed that: The copyright to the above-listed unpublished and original article is transferred to STM Journals.

This copyright transfer covers the exclusive right to reproduce and distribute the contribution, including reprints, translations, photographic reproductions, microform, electronic form (offline, online), or any other reproductions of similar nature.

I/We declare that above manuscript is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

 I/ We warrant(s) that his/her/their contribution is original, except for such excerpts from copyrighted works as may be included with the permission of the copyright holder and author thereof, that it contains no libelous statements, and does not infringe on any copyright, trademark, patent, statutory right, or propriety right of others.

I/We will not publish his/her/their above said contribution anywhere else without the prior written permission of the publisher unless it has been changed substantially. I/We also agree to the authorship of the article in the following order: Author(s) Name Signature(s)

1. ________________

2. ________________

3. ________________

4. ________________

The author(s) agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal (comments if any to the editor can be added below).