Evaluating coverage changes in national parks using a hybrid change detection algorithm and remote sensing

Ghofrani, Zahra, Mokhtarzade, M, Reza Sahebi, M and Beykikhoshk, Adham 2014, Evaluating coverage changes in national parks using a hybrid change detection algorithm and remote sensing, Journal of Applied Remote Sensing, vol. 8, no. 1, pp. 1-16, doi: 10.1117/1.JRS.8.083646.

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Title Evaluating coverage changes in national parks using a hybrid change detection algorithm and remote sensing
Author(s) Ghofrani, Zahra
Mokhtarzade, M
Reza Sahebi, M
Beykikhoshk, Adham
Journal name Journal of Applied Remote Sensing
Volume number 8
Issue number 1
Article ID 083646
Start page 1
End page 16
Total pages 17
Publisher S P I E - International Society for Optical Engineering
Place of publication Bellingham, WA
Publication date 2014
ISSN 1931-3195
Keyword(s) change vector analysis
hybrid change detection
postclassification comparison
remote sensing
Science & Technology
Life Sciences & Biomedicine
Technology
Environmental Sciences
Imaging Science & Photographic Technology
Environmental Sciences & Ecology
CHANGE-VECTOR ANALYSIS
LAND-COVER
FOREST
AREA
CLASSIFICATION
LANDSCAPE
DYNAMICS
remote sensing.
Summary 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. © 2014 Society of Photo-Optical Instrumentation Engineers.
Language eng
DOI 10.1117/1.JRS.8.083646
Field of Research 090905 Photogrammetry and Remote Sensing
090903 Geospatial Information Systems
090906 Surveying (incl Hydrographic Surveying)
0909 Geomatic Engineering
Socio Economic Objective 960604 Environmental Management Systems
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, S P I E - International Society for Optical Engineering
Persistent URL http://hdl.handle.net/10536/DRO/DU:30070420

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