Global Advanced Research Journal of Agricultural Science (GARJAS) ISSN: 2315-5094
November 2015 Vol. 4(11): pp. 819-826
Copyright © 2015 Global Advanced Research Journals

 

Full Length Research Paper

Utilization of Change Vector Analysis for Land Use/ Land Cover Change Detection in a Selected Area in the Northern Delta, Egypt

R. S. Morgan*a, I. S. Rahim*a, M. Abd El-Hady*b

  

*aSoils and Water Use dept., *b Water Relations and Field irrigation Dept.,

National Research Centre, El Behouth St., Dokki, Cairo

Email: randa_sgmm@yahoo.com

Accepted 29 November, 2015

 

Abstract

Land cover and land use change detection provides valuable data to decision makers especially on the loss of agricultural land and lakes surface areas which is becoming one of the major problems in Egypt. Remote Sensing data are fundamental in providing accurate information regarding land use and land cover changes. The aim of this work is to investigate the use of Change Vector Analysis (CVA) for land use/ land cover change detection in a selected area in the Northern Delta, Egypt. In this paper, a two dimensional CVA using the  Normalized Difference Vegetation Index(NDVI) and  Bare soil  Index (BI) utilized two Landsat image with thirteen year interval from 2001 to 2014. The threshold of change magnitude was applied empirically and revealed that the changed area covered about 6.66% of the studied area. Studying the change direction revealed that classes C1 and C3 representing the expansion of the agriculture and settlement areas covered an area of about 29.1 and 27.4% of the change in the study area, respectively. The major change represented by class C2, which covered about 37.2 % of the changed area, represented the changes in the aquatic vegetation distribution. This class was affected by the changes of the depth and quality of the lake water.  The drawback in using this method in the study area was noticed in class C4 this covered only 6.3 % of the change. This class represented the change from wetsoils to fish pond and was underestimated using CVA. It was concluded that even so CVA could be considered a suitable method to monitor the changes in the land use and land cover change in the study area, it is recommended to include a more sensitive water index to overcome its drawback.

KeywordsChange Vector Analysis, land use/ land cover, change detection, El-Northern Delta, Egypt

 

 

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