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بررسی امکان تهیه نقشه شدت خشکیدگی جنگلهای بلوط زاگرس با استفاده از دادههای ماهوارهای Worldview-2 (مطالعه موردی: جنگلهای شهرستان ایلام) | ||
| تحقیقات جنگل و صنوبر ایران | ||
| مقاله 10، دوره 25، شماره 3 - شماره پیاپی 69، مهر 1396، صفحه 452-462 اصل مقاله (928.08 K) | ||
| نوع مقاله: علمی- پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/ijfpr.2017.112879 | ||
| نویسندگان | ||
| امید کرمی1؛ اصغر فلاح* 2؛ شعبان شتایی3؛ هومن لطیفی4 | ||
| 1دانشجوی دکتری، گروه علوم جنگل، دانشکده منابع طبیعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری، ایران | ||
| 2دانشیار، گروه علوم جنگل، دانشکده منابع طبیعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری، ایران | ||
| 3دانشیار، گروه جنگل داری، دانشکده علوم جنگل، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران | ||
| 4استادیار، گروه جغرافیا و زمینشناسی، دانشگاه ووتزبورگ، ووتزبورگ، آلمان | ||
| چکیده | ||
| طی سالهای اخیر پدیده زوال بلوط به جنگلهای زاگرس آسیب جدی رسانده است. برای مقابله و مدیریت این بحران قبل از هر چیزی نیاز به اطلاعات دقیقی از وضعیت و گستره وقوع این پدیده در سطح جنگل است. یکی از راههای مؤثر برای دستیابی به اطلاعات مربوط به گستره و شدت وقوع خشکیدگی در جنگل در محدودههای وسیع استفاده از دادههای ماهوارهای است. در این پژوهش که در قسمتی از جنگلهای شهرستان ایلام انجام شد، با استفاده از دادههای ماهوارهای Worldview-2 به تهیه نقشه شدت خشکیدگی جنگل در چهار طبقه پرداخته شد و از چهار الگوریتم طبقهبندی حداکثر احتمال، بیز ساده، نزدیکترین همسایه و شبکه عصبی مصنوعی برای طبقهبندی دادههای ماهوارهای استفاده شد. نتایج نشان داد که از بین روشهای مختلف، روش الگوریتم شبکه عصبی مصنوعی با صحت کلی 72/83 درصد بهترین نتایج را داشت. نتایج این پژوهش نشان داد که دادههای سنجنده WV-2 میتوانند بهخوبی شدت وقوع زوال بلوط را نشان دهند. | ||
| کلیدواژهها | ||
| زوال بلوط؛ سنجش از دور؛ شبکه عصبی مصنوعی | ||
| عنوان مقاله [English] | ||
| Investigation on the feasibility of mapping of oak forest dieback severity using Worldview-2 satellite data (Case study: Ilam forests) | ||
| نویسندگان [English] | ||
| Omid Karami1؛ Asghar Fallah2؛ Shaban Shataei3؛ Hooman Latifi4 | ||
| 1Ph.D. Student, Department of Forest Sciences, Faculty of Natural Resources, Sari Agricultural Sciences and Natural Resources University, Sari, Iran | ||
| 2Associate Prof., Department of Forest Sciences, Faculty of Natural Resources, Sari Agricultural Sciences and Natural Resources University, Sari, Iran | ||
| 3Associate Prof., Department of Forestry, Faculty of Forest Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran | ||
| 4Assistant Prof., Department for Geography and Geology, University of Wuerzburg, Wuerzburg, Germany | ||
| چکیده [English] | ||
| In recent years, oak decline phenomenon has caused severe damages in Zagros forests. To deal with and managed this crisis, prior to any action, having accurate information about the status and distribution area of this phenomena is necessary. Using satellite data is one of methods to achieve information on the extent and severity of die back. For this purpose, map of oak decline severity was prepared in four levels for some parts of Ilam forests using Worldview-2 satellite data. Maximum likelihood, naive bayes, K-nearest neighbors and artificial neural network classification algorithm were used. The results showed that among different classification methods, the results of artificial neural network classification algorithm had most overall accuracy with 72.83%. Moreover, our results confirmed that the Worldview-2 satellite data can illustrate the severity of oak decline. | ||
| کلیدواژهها [English] | ||
| Artificial Neural Network, oak decline, Remote Sensing | ||
| مراجع | ||
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