Volume 2, Number 2 (6-2013)                   DEEJ 2013, 2(2): 65-80 | Back to browse issues page


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Abstract:  

Timely and accurate change detection of earth surface features is extremely important for
understanding relationships and interaction between human and natural phenomena in order to
promote better decision making. Remote sensing data are primary sources extensively used
for change detection in recent decades. In this study, images of Landsat (TM) 1985 and
Landsat (ETM+) 2007 were analyzed using six change detection techniques in ۵۵٩٨۶ hectares
in the region of Dehloran, Ilam province. Considered techniques of change detection were
included: image differencing, principal components analysis differencing, NDVI differencing,
canonical components analysis differencing, tasscap differencing and post-classification
comparison. To determine threshold level, the statistical method has been applied which was
achieved from thresholds changing. In this study, threshold level was set at ±1 standard
deviation from the mean. After determining optimal threshold, areas having decreasing
change, increasing change and no change was determined. Based on ground data and field
visit and Google Earth, accuracy assessment of change detection techniques was carried out
using overall accuracy and Kappa coefficient. According to the results, infrared differencing
with overall accuracy of 90.49 and Kappa coefficient of 91% showed the highest accuracy
among applied change detection techniques and on the contrary, CCA2 differencing with
overall accuracy 25.48 and Kappa coefficient of 3٨% had lowest accuracy in land use/land
cover change in study area.

Type of Study: Research | Subject: Special
Received: 2013/02/23 | Accepted: 2013/05/31 | Published: 2013/06/20

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