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برآورد برخی خصوصیات خاک با استفاده از تحلیل دادههای طیفی (Vis-NIR) و انواع روشهای پیشپردازش | ||
| تحقیقات آب و خاک ایران | ||
| دوره 52، شماره 6 - شماره پیاپی 66، شهریور 1400، صفحه 1557-1569 اصل مقاله (1.68 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijswr.2021.320713.668918 | ||
| نویسندگان | ||
| سحر طاقدیس1؛ محمد هادی فرپور* 2؛ مجید فکری2؛ مجید محمودآبادی*3 | ||
| 1دانشجوی دکتری گروه علوم و مهندسی خاک، دانشکده کشاورزی، دانشگاه شهید باهنر کرمان، کرمان، ایران | ||
| 2استاد گروه علوم و مهندسی خاک، دانشکده کشاورزی، دانشگاه شهید باهنر کرمان، کرمان، ایران | ||
| 3استاد گروه علوم و مهندسی خاک، دانشکده کشاورزی، دانشگاه شهید باهنر کرمان، کرمان، ایران | ||
| چکیده | ||
| طیف‌سنجی خاک به‌دلیل سرعت و دقت بالا، هزینه پایین و غیرمخرب بودن بر بسیاری از محدودیتهای روشهای سنتی تجزیه خاک غلبه کرده است. مطالعه حاضر با هدف امکانسنجی استفاده از اطلاعات طیفی خاک به‌منظور برآورد برخی از ویژگیهای کلیدی خاک و مقایسه انواع روشهای پیشپردازش طیفی در تعیین عملکرد مدل رگرسیون حداقل مربعات جزئی (PLSR) انجام گردید. بدین منظور 100 نمونه خاک سطحی از اراضی واقع در حدفاصل شهرستانهای نیریز تا استهبان در شرق استان فارس جمعآوری و مقادیر کربن آلی، قابلیت هدایت الکتریکی، کربنات کلسیم معادل و گچ با استفاده از روشهای استاندارد آزمایشگاهی اندازهگیری گردید. سپس بازتاب طیفی نمونههای خاک در محدوده 2500-350 نانومتر ثبت و روشهای مختلف پیشپردازش طیفی بر روی دادهها اعمال گردید. در ادامه، برآورد خصوصیات خاک با استفاده از روش PLSR انجام شد. نتایج حاکی از توانایی مطلوب روش PLSR در تخمین میزان گچ (2< RPD، 81/0 = R2، 87/3 = RMSE) و توانایی قابل قبول آن برای سایر ویژگیها نظیر کربنات کلسیم معادل، کربن آلی و قابلیت هدایت الکتریکی خاک (2>RPD> 4/1) بود. همچنین، نتایج نشان داد که روش پیشپردازش مشتق اول به همراه فیلتر ساویتزکی و گلای، بهترین مدلسازی را برای کربن آلی، روش متغیر نرمال استاندارد (SNV) برای گچ و روش مشتق دوم به همراه فیلتر ساویتزکی و گلای برای قابلیت هدایت الکتریکی خاک ارائه کردند. از طرفی، برآورد کربنات کلسیم خاک با دادههای بدون پیشپردازش، تخمین بهتری نسبت به استفاده از انواع روشهای پیشپردازش ارائه داد. به‌طور کلی، نتایج نشان داد که محدوده طیف مرئی برای برآورد کربن آلی و قابلیت هدایت الکتریکی و محدوده مادون قرمز نزدیک برای کربنات کلسیم معادل و گچ کارایی بهتری ارائه دادند. | ||
| کلیدواژه‌ها | ||
| باندهای جذبی؛ رفتار طیفی خاک؛ طیف سنجی مرئی-مادون قرمز؛ PLSR | ||
| عنوان مقاله [English] | ||
| Estimation of Some Soil Properties Using Spectral Data Analysis (Vis-NIR) and Various Pre-Processing Methods | ||
| نویسندگان [English] | ||
| Sahar Taghdis1؛ Mohammad Hady Farpoor2؛ Majid Fekri2؛ Majid Mahmoodabadi3 | ||
| 1PhD Student, Department of Soil Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran | ||
| 2Department of Soil Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran | ||
| 3Department of Soil Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran | ||
| چکیده [English] | ||
| Soil spectroscopy has overcome many limitations of conventional soil analysis methods due to its rapid, accurate, cost-effective, and non-destructive nature. This study was aimed to investigate the capability of soil spectral data in estimating some key soil properties and comparing different spectral preprocessing methods in determining the performance of the partial least squares regression (PLSR) model. For this purpose, 100 soil surface samples were collected from the study area which was located between Neyriz and Estahban regions in the east of Fars Province. The samples were analyzed for organic carbon (OC), electrical conductivity (EC), calcium carbonate equivalent (CaCO3) and gypsum using standard laboratory methods. Then, the spectral reflectance of the soil samples was recorded in the range of 350-2500 nm and various spectral pre-processing methods were applied to the data. Afterwards, the soil properties were estimated using PLSR. The results indicated the desirable capability of PLSR method in estimating the amount of gypsum (RPD >2, R2 = 0.81, RMSE = 3.87) and its acceptable ability for OC, EC and CaCO3 (2< RPD < 1.4). Also, the best modeling systems for OC, gypsum and EC were obtained as the first derivative with Savitzky-Golay smoothing method (FD-SG), the standard normal variate method (SNV), and the second derivative with SG smoothing method (SD-SG), respectively. Besides, non-preprocessing data of soil CaCO3 provided better estimations than various pre-processing methods. Overall, the results revealed that the visible spectrum range provided the best performance for estimating of OC and EC, and the NIR range for CaCO3 and gypsum. | ||
| کلیدواژه‌ها [English] | ||
| Absorption bands, Soil spectral behavior, Vis-NIR spectroscopy, PLSR | ||
| مراجع | ||
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