Evaluation Changes and Quantification Mangrove Forests in Khorkhouran Protected Area with Emphasis on Hydrodynamic Strait of Hormuz

Subject Areas : Biology sea

MohammadAli Zangane Asadi ¹ , ebrahim taghavi moghadam ² , Elahe Akbari ³

1 - Associate Professor, Geomorphology of Hakim Sabzevari University, Sabzevar, iran.
2 - PhD in Geomorphology, Sabzevari Hakim University, Sabzevar, iran *(Corresponding Author).
3 - Proffessor, Remote Sensing of Hakim Sabzevari University and PhD student Remote Sensing of Tehran University, iran.

Received: 2016-12-10 Accepted : 2017-05-01 Published : 2019-08-23

Keywords: mangroves, : Khorkhoran, hydrodynamics, Hormuz, change,

Abstract :

Background and Objective:  Mangrove forests of Iran is the only landscape of forest in the hot and dry southern coast of Iran that is ecological and Ecotourism value and is dependent on to their southern coastal livelihoods. Therefore it is essential to awareness of changes mangrove forest as a national property. Environmental changes occur in the vast and long term and remote sensing technology could be very suitable and accurate tool for monitoring changes. Method: The purpose of this study is to evaluate changes in forest cover Khorkhoran protected mangrove area according to Hydrodynamic Processes Strait of Hormuz. For this purpose, we used Landsat satellite images of 1989-2015 and a variety of remote sensing techniques, including the difference of images, the difference of vegetation, the main component of difference tasseled cap and compare the classification. To evaluate the accuracy of changing detection techniques, taken from the ground realities through Field observations and satellite images of Google Earth, the total accuracy and Kappa coefficient were used. Findings:The results show that the detection of post-processing methods, methods of principal components analysis (PCA1) and difference vegetation is suitable methods for detecting changes. After applying the method comparative of classification, that is a pre-processing method, maximum likelihood algorithm with 0/9781overall accuracy and kappa coefficient 32/98% was introduced as the best method of classification of satellite images. Was also in 1989 year the mangrove forests (dense and scattered) 125.8 square kilometers that added to the 48.9 square kilometers in the last 26 years. Discussion and Conclusion: Increased mangrove forests Because of Factors Such as increasing temperature and sea levels, increased sediments in the delta region and the low slope of the coastal area.  Therefore, any facility and infrastructure projects should pay attention to environmental considerations and ecological.  

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