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Journal of Applied Remote Sensing

Evaluating coverage changes in national parks using a hybrid change detection algorithm and remote sensing
Author(s): Zahra Ghofrani; Mehdi Mokhtarzade; Mahmod Reza Sahebi; Adham Beykikhoshk
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Paper Abstract

Remote sensing is a useful tool for detecting change over time. We introduce a hybrid change-detection method for forest and protected-area vegetation and demonstrate its use with two satellite images of Golestan National Park in northern Iran (1998 and 2010). We report on the advantages and disadvantages of the hybrid method relative to the standard change-detection method. In the proposed hybrid algorithm, the change vector analysis technique was used to determine changes in vegetation. Following this, we used postclassification comparison to determine the nature of the changes observed and their accuracy and to evaluate the effects of different parameters on the performance of the proposed method. We determined 85% accuracy for the proposed hybrid change-detection method, thus demonstrating a method for discovering and assessing environmental threats to natural treasures.

Paper Details

Date Published: 21 April 2014
PDF: 17 pages
J. Appl. Remote Sens. 8(1) 083646 doi: 10.1117/1.JRS.8.083646
Published in: Journal of Applied Remote Sensing Volume 8, Issue 1
Show Author Affiliations
Zahra Ghofrani, Deakin Univ. (Australia)
Mehdi Mokhtarzade, K.N.Toosi Univ. of Technology (Iran, Islamic Republic of)
Mahmod Reza Sahebi, K.N.Toosi Univ. of Technology (Iran, Islamic Republic of)
Adham Beykikhoshk, Deakin Univ. (Australia)

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