بررسی کارایی روش‌های طبقه‌بندی و شاخص‌های طیفی در برآورد سطح زیرکشت محصولات زراعی شهرستان شوش

آب و خاک

مقاله 5، دوره 36، شماره 4 - شماره پیاپی 84، مهر و آبان 1401، صفحه 493-509   

نوع مقاله: مقالات پژوهشی

شناسه دیجیتال (DOI): 10.22067/jsw.2022.76746.1167

نویسندگان

محمد عبیات¹؛ مرتضی عبیات^{* 2}؛ مصطفی عبیات²

¹کارشناس‌ارشد مهندسی منابع طبیعی- محیط‌زیست، دانشگاه آزاد اسلامی واحد علوم و تحقیقات تهران(خوزستان)، اهواز، ایران

²دانشجوی دکتری جغرافیا و برنامه ریزی روستایی، دانشکده علوم جغرافیایی و برنامه‌ریزی، دانشگاه اصفهان، اصفهان، ایران

چکیده

برآورد سطح زیرکشت محصول، گامی اساسی در تعیین میزان تولیدات زراعی و لازمه تصمیم‌گیری در انجام مبادلات اقتصادی است. سنجش از دور، با داشتن داده‌های به‌روز و قابلیت آنالیز تصاویر ماهواره‌ای با دقتی مناسب و نیز امکان مطالعه در محدوده‌های وسیع، ابزاری کلیدی در این قبیل ارزیابی‌ها می‌باشد. هدف این پژوهش، ارزیابی کارایی روش‌های طبقه‌بندی و شاخص‌های طیفی در برآورد سطح زیرکشت محصولات زراعی شهرستان شوش در طول دوره رشد است. ابتدا تصاویر OLI ماهواره لندست ۸ با توجه به تقویم زراعی سال ۹۸-۱۳۹۷ و دوره رویشی محصولات غالب منطقه، انتخاب شدند. برای شناسایی و تفکیک محصولات زراعی در رویکرد اول، از روش‌های طبقه‌بندی شبکه عصبی مصنوعی و ماشین بردار پشتیبان و در رویکرد دوم، از شاخص NDVI استفاده شد. برای مقایسه نتایج، از آمار سطح زیرکشت سازمان جهاد کشاورزی در سال ۱۳۹۸ استفاده شد. براساس نتایج بدست آمده، سطح زیرکشت گندم، جو، برنج و ذرت در روش شبکه عصبی مصنوعی، در مقایسه با آمار سازمان جهاد کشاورزی به‌ ترتیب خطای ۱۱.۷، ۱۲.۱، ۶.۱ و ۶.۷ درصد و در روش ماشین بردار پشتیبان به ‌ترتیب خطای ۸.۹، ۶.۶، ۴.۲ و ۵.۱ درصد داشته است. اما شاخص NDVI بهترین روش برآورد سطح زیرکشت منطقه در مقایسه با آمار سازمان جهاد کشاورزی به ‌ترتیب دارای خطای ۴.۲، ۱.۲، ۲.۷ و ۱.۵ درصد بوده که نشان‌دهنده قابلیت بالا و دقت شاخص‌های طیفی در برآورد سطح زیرکشت محصولات زراعی منطقه با توجه به دوره رشد آن‌ها است. لذا پیشنهاد شد تا برای تعیین سطح زیرکشت محصولات شهرستان شوش از پیاده‌سازی شاخص‌های طیفی استفاده شود.

کلیدواژه‌ها

کشاورزی؛ شبکه عصبی مصنوعی؛ ماشین بردار پشتیبان؛ NDVI؛ شوش

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