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شلیر اسکندری کمال نبی اللهی روح الله تقی زاده مهرجردی

چکیده

کربن آلی خاک یکی از خصوصیات مهم خاک می¬باشد که اطلاعات پیرامون تغییرات مکانی آن جهت مدیریت زراعی، تخریب اراضی و مطالعات زیست محیطی حائز اهمیت می¬باشد. هدف از این پژوهش استفاده از روش شبکه عصبی مصنوعی برای تهیه نقشه کربن آلی خاک می¬باشد. بنابراین، تعداد 137 نمونه خاک از عمق 30-0 سانتی¬متری خاک¬های منطقه مریوان استان کردستان برداشت شده و خصوصیت کربن آلی خاک اندازه¬گیری شد. متغیرهای محیطی که در این پژوهش استفاده شد شامل اجزاء سرزمین و داده¬های تصویر +ETM ماهواره لندست می¬باشد. جهت ارتباط دادن بین کربن آلی خاک و متغیرهای کمکی، از مدل شبکه عصبی مصنوعی بهره گرفته شد. بر اساس نتایج انالیز حساسیت به روش رپر، برای پیش¬بینی کربن آلی خاک، متغییرهای کمکی شامل شاخص خیسی، شاخص همواری دره، فاکتور LS، شاخص NDVI و باند 3 مهم¬ترین بودند. نتایج این تحقیق نشان داد که مدل شبکه عصبی مصنوعی دارای 80/0، 01/0- و 67/0 به ترتیب برای ضریب تبیین، میانگین خطا و میانگین ریشه مربعات خطا می¬باشد. لذا پیشنهاد می¬شود که جهت تهیه نقشه رقومی خاک از مدل¬های شبکه عصبی مصنوعی در مطالعات آینده استفاده شود.

جزئیات مقاله

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ارجاع به مقاله
اسکندریش., نبی اللهیک., & تقی زاده مهرجردیر. ا. (2018). نقشه¬برداری رقومی کربن آلی خاک (مطالعه موردی: مریوان، استان کردستان). آب و خاک, 32(4), 737-750. https://doi.org/10.22067/jsw.v32i4.68318
نوع مقاله
علمی - پژوهشی