NDVI Differencing and Post-classification to Detect Vegetation Changes in Halabja City, Iraq.

Citation

Mansor, Shattri and Mohd Shafri, Helmi Zulhaidi and Al-doski, Jwan (2013) NDVI Differencing and Post-classification to Detect Vegetation Changes in Halabja City, Iraq. IOSR Journal of Applied Geology and Geophysics (IOSR-JAGG), 1 (2). 10-Jan. ISSN 2321-0982

Abstract

This study presents vegetation change detecting in Halabja city, Iraq by using Landsat-5Thematic Mapper images. This city was shelled with chemical weapons on 16 March, 1988. The Normalized Difference Vegetation Index (NDVI) image differencing and post–classification techniques were applied. The NDVI was derived first then classified to produce vegetation maps followed by quantifying the changes.The results indicated a drastic decrease in the dense, sparse and moderate vegetation by55%, 7% and 9% respectively. In contrast, the non-vegetation class increased by 5%. This means that, the field and planted areas were at risk of losing vegetation.

Download File

Preview

PDF (Abstract)
NDVI Differencing and Post.pdf
Download (182kB) | Preview

Additional Metadata

Item Type:	Article
Divisions:	Faculty of Engineering
Keywords:	remote sensing; vegetation
Depositing User:	Muizzudin Kaspol
Date Deposited:	10 Jun 2014 07:33
Last Modified:	08 Oct 2015 06:21
URI:	http://psasir.upm.edu.my/id/eprint/28551
Statistic Details:	View Download Statistic

Actions (login required)

View Item