دوره 6، شماره 11 - ( بهار و تابستان 1397 )                   جلد 6 شماره 11 صفحات 61-75 | برگشت به فهرست نسخه ها

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Pourahmad M, Oladi J, Fallah A. Detection of Tree Species in Mixed Broad-Leaved Stands of Caspian Forests Using UAV Images (Case study: Darabkola Forest). ifej. 2018; 6 (11) :61-75
URL: http://ifej.sanru.ac.ir/article-1-240-fa.html
پوراحمد میلاد، اولادی جعفر، فلاح اصغر. شناسایی گونه‌های درختی در توده‌های پهن‌برگ آمیخته جنگل‌های خزری با استفاده از تصاویر پهپاد (مطالعه موردی: جنگل دارابکلا) . بوم شناسی جنگل های ایران (علمی- پژوهشی). 1397; 6 (11) :61-75

URL: http://ifej.sanru.ac.ir/article-1-240-fa.html


دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری
چکیده:   (499 مشاهده)
تصاویر پهپاد، با توان تفکیک مکانی بالا، یک منبع اطلاعاتی باارزش برای تهیه نقشه پوشش زمین و اطلاعات موضوعی به­ ویژه تشخیص گونه­ های درختی هستند. هدف از این تحقیق بررسی قابلیت تصاویر پهپاد و روش شیءپایه در تشخیص گونه ­های درختی در جنگل­ های پهن‌برگ خزری است. به‌این منظور بخشی از پارسل 24 در سری یک دارابکلای مازندران انتخاب شد. نقشه واقعیت زمینی موقعیت گونه­ های غالب از طریق ثبت دقیق با الگوریتم تعیین مختصات جغرافیایی با استفاده از فاصله و آزیموت در نرم‌افزار متلب تهیه شد. پس از پردازش­ های مناسب بر روی تصاویر، طبقه بندی به روش شیء­پایه بر روی مجموعه تصاویر در سه ارتفاع پروازی 100، 75 و 55 متری به دو صورت طبقه‌بندی یک مرحله‌ای و طبقه‌بندی سلسله‌مراتبی انجام شد. در روش شیء­پایه از فن نزدیک­ترین همسایه برای طبقه ­بندی گونه­ ها استفاده شد. ارزیابی صحت
نقشه ­های حاصل ازطبقه ­بندی­ ها با استفاده از 50 درصد نمونه­ های واقعیت زمینی انجام گرفت. نتایج نشان داد که نقشه حاصل از طبقه­ بندی سلسله‌مراتبی به روش شیء­پایه در ارتفاع پروازی 55 متر بهترین توانایی تشخیص گونه­ های درختی را در بین سه ارتفاع، با ضریب کاپای 81/0 و صحت کلی 87 درصد داراست.


 
متن کامل [PDF 1112 kb]   (618 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: سنجش از دور
دریافت: ۱۳۹۷/۲/۱۸ | پذیرش: ۱۳۹۷/۳/۲۱ | انتشار: ۱۳۹۷/۸/۱۲

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