Evaluation and assessment of changes in forest area Harra (mangrove) Using remote sensing techniques Case Study: Bandar Abbas

Subject Areas : forest

محمد علی  زنگنه اسدی ¹ (عضو هیئت علمی دانشگاه حکیم سبزواری)
ابراهیم  تقوی مقدم ² (دانشجوی دکترا)
elahe  akbari ³ (Teacher of Remote Sensing Of Hakim Sabzevari University and Phd Studeent of Remote Sensing Tehran University)

Received: 2016-09-24 Accepted : 2017-02-26 Published : 2017-02-19

Keywords: algorithm, Bandar Abbas, Mangrove, Support Vector Machine Maximum Likelihood,

Abstract :

Knowledge of changes is first, most important action planners, and authority’s natural and human environment. Satellite images and satellite image processing techniques and methods very precise tool for navigation and assessment of changes in forest areas is the purpose of of this study is assess the changes in forest areas mangrove in Bandar using the technique of remote sensing. To achieve this purpose of we used the information and topographic maps, satellite images and the algorithm of maximum likelihood and minimum distance 1989, 2005 and 2015 years of area. The results show that the maximum likelihood method with 98/32% overall accuracy and kappa coefficient 0/978 accurate method than using support vector machine and the minimum distance for mapping land cover changes and monitoring changes in forest. According to calculations forest surface area’ of 76/09 sq km in 1989 has increased to 125/08 square kilometers in 2015. Which indicates the shores of the Strait of Hormuz is the hydrodynamic change. Thus adopting every environmental protection measures in the area is necessary, any facilities and infrastructure projects must comply with environmental considerations and ecological.

References:

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