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Hoseinnejad, zeinab, Hasani Moghaddam, Hasan, Parvar, Zahra, Kavousi, Kourosh, Gashtasb Meigooni, Hamid. (1399). FFT-PCA Image Fusion Based Flora and Vegetation Mapping Of Eshkevarat No Hunting Zone. نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 3(2), 72-84.
zeinab Hoseinnejad; Hasan Hasani Moghaddam; Zahra Parvar; Kourosh Kavousi; Hamid Gashtasb Meigooni. "FFT-PCA Image Fusion Based Flora and Vegetation Mapping Of Eshkevarat No Hunting Zone". نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 3, 2, 1399, 72-84.
Hoseinnejad, zeinab, Hasani Moghaddam, Hasan, Parvar, Zahra, Kavousi, Kourosh, Gashtasb Meigooni, Hamid. (1399). 'FFT-PCA Image Fusion Based Flora and Vegetation Mapping Of Eshkevarat No Hunting Zone', نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 3(2), pp. 72-84.
Hoseinnejad, zeinab, Hasani Moghaddam, Hasan, Parvar, Zahra, Kavousi, Kourosh, Gashtasb Meigooni, Hamid. FFT-PCA Image Fusion Based Flora and Vegetation Mapping Of Eshkevarat No Hunting Zone. نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 1399; 3(2): 72-84.

FFT-PCA Image Fusion Based Flora and Vegetation Mapping Of Eshkevarat No Hunting Zone

Journal of Radar and Optical Remote Sensing and GIS
دوره 3، شماره 2، شهریور 2020، صفحه 72-84    اصل مقاله (501.31 K)
نوع مقاله: مقاله پژوهشی
نویسندگان
zeinab Hoseinnejad1؛ Hasan Hasani Moghaddam* 2؛ Zahra Parvar3؛ Kourosh Kavousi4؛ Hamid Gashtasb Meigooni5
1M.Sc. Environmental Assessment, Coolege of environment. Department of Environment k araj, Iran
2MSc of remote sensing, Kharazmi university, Tehran, Iran
3M.Sc Environmental Assessment, Department of Environment, Faculty of Natural Resources, Malayer University, Iran
4Phd , Department of Biology, Science and Research Branch, Islamic Azad University Tehran
5Associated Professor, Department of Natural Environment and Biodiversity, College of Environment, Karaj, Iran
چکیده
fusion of remote sensing data is essential in order to obtain more information from different images. Mapping the vegetation of an area is very important due to its environmental importance. In this research, used Landsat ETM+ images and field surveying to identify vegetation states of the Eshkevarat No hunting zone. After applying necessary preprocessing like gap filling and atmospheric correction, the panchromatic and multi-spectral images were fused based on the FFT-PCA algorithm. In the next section, the fused image was classified based on the Support Vector Machine (SVM), algorithm into five classes. The results showed that the overall accuracy and kappa coefficient of classified images is 0.943% and 0.910 respectively. In order to field surveying of study area, 1-meter plots in 500-meter distance choose and 14 Flora and vegetation species were identified and mapped. The results showed that satellite images have good accuracy in this field but based on its spatial resolution limitations a large number of species present in the area have not been identified. In this research, it is suggested to use a combination of both satellite image sources and field surveys.
کلیدواژه‌ها
FFT-PCA؛ Flora and vegetation؛ Landsat ETM+؛ SVM؛ Eshkevarat
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تعداد مشاهده مقاله: 202
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