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استفاده از شاخصهای طیفی در برآورد رطوبت سطحی خاک براساس الگوریتم یادگیری ماشین | ||
تحقیقات آب و خاک ایران | ||
دوره 52، شماره 12، اسفند 1400، صفحه 3001-3018 اصل مقاله (1.77 M) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22059/ijswr.2022.333856.669130 | ||
نویسندگان | ||
آزاده صداقت1؛ محمود شعبانپور شهرستانی* 2؛ علی اکبر نوروزی3؛ علیرضا فلاح نصرت آباد4؛ حسین بیات5 | ||
1گروه خاکشناسی ، دانشکده کشاورزی، دانشگاه گیلان، رشت، ایران | ||
2گروه خاکشناسى، دانشکده کشاورزى، دانشگاه گیلان، رشت، ایران | ||
3پژوهشکده حفاظت خاک و آبخیزداری، سازمان تحقیقات، آموزش و ترویج کشاورزی، تهران، ایران | ||
4موسسه تحقیقات خاک و اب کشور، سازمان تحقیقات، آموزش و ترویج کشاورزی، کرج، ایران | ||
5گروه خاکشناسی، دانشکده کشاورزی، دانشگاه بوعلی سینا، همدان، ایران | ||
چکیده | ||
اطلاع دقیق از میزان رطوبت سطح خاک و توزیع مکانی و زمانی آن میتواند منجر به بهرهبرداری بهینه از امکانات زمین گردد. هدف از پژوهش حاضر برآورد رطوبت سطحی خاک بهوسیله پارامترهای زودیافت خاک و شاخصهای طیفی حاصل از سنجنده سنتینل[1]-2 با دو روش شبکه عصبی مصنوعی (ANN) و رگرسیون بردار پشتیبان (SVM) است. به تعداد 124 نمونه خاک از سه منطقه ایران (تهران، گرمسار و لرستان) برداشته شد. پس از نرمالسازی دادههای موردنظر، معنیداری همبستگی متغیرهای ورودی (شاخصهای طیفی و خصوصیات پایهای خاک) با خروجی (رطوبت سطحی) از نظر آماری بررسی گردید. سپس، مدلسازی با روشهای مذکور انجام و نتایج مورد ارزیابی قرار گرفت. نتایج نشان داد که روش ANN کارایی بهتری نسبت به روش SVM دارد. در روش ANN، میانگین مقادیر، ریشه میانگین مربعات خطا (RMSE)، آکائیک (AIC)، ضریب تعیین (R2)، و ضریب بهبود نسبی (RI) به ترتیب در مرحله آموزش 033/0، 538-، 71/0 و 25/21 و در مرحله آزمون 410/0، 266-، 69/0 و 06/16 به دست آمدند. همچنین مقادیر میانگین RMSE، AIC، R2 و RI در روش SVM به ترتیب در مرحلۀ آموزش 035/0، 474-، 71/0 و 16/35 و در مرحلۀ آزمون 046/0، 252-، 63/0 و 21/20 به دست آمدند. در این پژوهش شاخص رنگ خاک (CI) نسبت به سایر شاخصهای طیفی با روش ANN بادقت بالاتری رطوبت خاک را برآورد کرده است؛ بنابراین روش شبکه عصبی مصنوعی با ایجاد ارتباط غیرخطی بین رطوبت سطح خاک و پارامترهای ورودی قادر به برآورد رطوبت خاک با دقت قابلقبول در منطقه موردمطالعه است. [1]. Sentinel-2 Satellite | ||
کلیدواژهها | ||
توابع انتقالی؛ شاخص رنگ خاک؛ شاخص شوری؛ شاخص حرارتی خاک؛ رطوبت سطحی خاک | ||
مراجع | ||
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