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میزان همخوانی نقشههای حاصل از روشهای یادگیری ماشین و تخمینگر کریجینگ در پایش شوری بخشی از اراضی حاشیهای پلایای سیرجان، استان کرمان | ||
تحقیقات کاربردی خاک | ||
دوره 12، شماره 3، آذر 1403، صفحه 47-66 اصل مقاله (1.06 M) | ||
نوع مقاله: مقاله پژوهشی | ||
نویسندگان | ||
مژده گلستانی1؛ زهره مصلح قهفرخی* 2؛ عیسی اسفندیارپور3؛ حسین شیرانی3 | ||
1دانشآموخته مقطع کارشناسیارشد گروه علوم و مهندسی خاک، دانشکده کشاورزی، دانشگاه ولیعصر رفسنجان | ||
2استادیار بخش تحقیقات خاک و آب، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان چهارمحال و بختیاری، سازمان تحقیقات، آموزش و ترویج | ||
3استاد گروه علوم و مهندسی خاک، دانشکده کشاورزی، دانشگاه ولی عصر رفسنجان، رفسنجان، ایران | ||
چکیده | ||
تصاویر ماهوارهای و رویکردهای سنجش از دور، ابزار مهمی برای ارزیابی، نقشهبرداری و مدیریت اراضی شور در مناطق مختلف جهان بهشمار میآیند. هدف اصلی از مطالعه حاضر، بررسی میزان همخوانی نقشههای حاصل از روشهای یادگیری ماشین و تخمینگر کریجینگ برای پایش شوری بخشی از خاکهای حاشیهی پلایای سیرجان در دو فصل زمستان و تابستان با استفاده از دو منبع داده سنجش از دور (لندست 8 و سنتینل 2) میباشد. 90 نمونه خاک سطحی (صفر تا 30 سانتیمتر) در قالب یک الگوی نمونهبرداری شبکهای منظم با فواصل 750 متر برداشت شد. برخی از مهمترین ویژگیهای فیزیکی و شیمیایی آنها با استفاده از روشهای استاندارد اندازهگیری شد. همچنین پس از انجام تصحیحهای رادیومتریکی و اتمسفری بر روی تصاویر ماهوارهای مزبور، علاوه بر باندهای اصلی، از 13 شاخص طیفی (شاخص شوری) بهمنظور تخمین شوری خاک با استفاده از مدلهای شبکه عصبی مصنوعی، درخت تصمیم، جنگل تصادفی و ماشین بردار پشتیبان استفاده شد. بهعلاوه، نقشههای کریجینگ شوری خاک برای هر دو زمان گفتهشده ترسیم شدند. نتایج نشان داد که ماهواره سنتینل 2 نسبت به دادههای ماهواره لندست 8، از صحت بالاتری (ضریب تبیین 87/0 در مقابل 72/0) برای پیشبینی تغییرات شوری در منطقه مورد مطالعه برخوردار بود. علاوه بر این، بهترین نتایج برای برآورد قابلیت هدایت الکتریکی عصاره اشباع خاک در فصل زمستان با استفاده از تصاویر سنتینل 2 و مدل شبکه عصبی مصنوعی (R2=0.77, RMSE%=27.1 ) و در فصل تابستان بر اساس تصاویر ماهواره سنتینل 2 و مدل جنگل تصادفی (R2=0.87, RMSE%=17.4 ) برای منطقه مطالعاتی به دست آمدند. از بین شاخصهای شوری مورد مطالعه، شاخص VSSI بهعنوان مؤثرترین شاخص برای برآورد شوری خاک منطقه انتخاب شد. نتایج همچنین نشان داد که نقشههای قابلیت هدایت الکتریکی عصاره اشباع خاک حاصل از دو روش از میزان همخوانی زیاد و صحت عمومی بالای 80 درصد برخوردار بودند؛ با این حال، تغییر فصل و نوع ماهواره بر میزان تطابقپذیری نقشههای بهدست آمده اثرگذار بود. | ||
کلیدواژهها | ||
سنتینل 2؛ شاخص شوری؛ کریجینگ؛ لندست 8؛ مدلسازی | ||
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