برآورد بافت و مقادیر اکسیدهای آزاد آهن خاک با استفاده از باندهای ماهوارة لندست 8 و تحلیل رگرسیون | ||
| نشریه سنجش از دور و GIS ایران | ||
| مقاله 5، دوره 14، شماره 1 - شماره پیاپی 53، 1401، صفحه 73-88 اصل مقاله (879.1 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.52547/gisj.14.1.73 | ||
| نویسندگان | ||
| روژین مرادی1؛ بابک سوری* 2؛ مرضیه رئیسی3 | ||
| 1دانشجوی کارشناسی ارشد گروه محیط‌زیست، دانشکدة منابع طبیعی، دانشگاه کردستان، سنندج، ایران | ||
| 2دانشیار گروه محیط‌زیست، دانشکدة منابع طبیعی، دانشگاه کردستان، سنندج، ایران | ||
| 3استادیار گروه محیط‌زیست، دانشکدة منابع طبیعی، دانشگاه کردستان، سنندج، ایران | ||
| چکیده | ||
| این پژوهش با هدف برآورد ویژگی‌های خاک، با استفاده از باندهای ماهوارة لندست 8، در بخشی از زمین‌های زراعی دشت قروه‌ـ دهگلان در غرب ایران انجام شد. در مجموع، از 107 نقطة محدودة مطالعاتی، از عمق 15-0 سانتی‌متری نمونة خاک تهیه و ویژگی‌های فیزیکوشیمیایی این نمونه‌ها در آزمایشگاه اندازه‌گیری شد. برای استخراج اطلاعات از تصویر ماهوارة لندست 8 و پس از اعمال ماسک پوشش گیاهی، مقادیر DOS باندهای 7-1 برای نقاط نمونه‌برداری استخراج شد. به‌منظور تعیین رابطة بین ویژگی‌های خاک و ارزش رقومی باندهای لندست 8، تحلیل همبستگی، رگرسیون خطی گام‌به‌گام و رگرسیون مؤلفة اصلی به‌کار رفت. اعتبارسنجی تحلیل رگرسیون‌ها با استفاده از دو پارامتر ضریب تعیین و ریشة میانگین مربعات خطا ارزیابی شد. نتایج نشان داد که همبستگی مثبت و معنی‌داری بین مقادیر شن و اکسیدهای آزاد آهن خاک و همبستگی منفی و معنی‌داری بین رس و سیلت خاک، با ارزش رقومی بیشتر باندهای لندست 8، وجود دارد. بین غلظت فلزات سنگین و ارزش رقومی در باندهای مرئی و مادون قرمز نزدیک، همبستگی معنی‌داری مشاهده نشد و تحلیل‌های رگرسیون نیز، در برآورد ویژگی‌های خاک محدودة مطالعاتی، کارآیی مورد قبولی نداشت. با توجه به نتایج، به‌نظر می‌رسد که می‌توان از تصاویر ماهوارة لندست 8 به‌منظور برآورد بافت خاک و مقادیر اکسیدهای آزاد آهن خاک، در محدودة مورد مطالعه، استفاده کرد. | ||
| کلیدواژه‌ها | ||
| ویژگی‌های خاک؛ دشت قروه‌ـ دهگلان؛ نمونه‌برداری خاک؛ سنجش از دور | ||
| عنوان مقاله [English] | ||
| Estimation of Soil Texture and Amount of Free Iron Oxides Using Landsat 8 Satellite Bands and Regression Analysis | ||
| نویسندگان [English] | ||
| Rozhin Moradi1؛ Bubak Souri2؛ Marzieh Reisi3 | ||
| 1M.Sc. Student, Dep. of Environmental Sciences, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran | ||
| 2Associate Prof., Dep. of Environmental Sciences, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran | ||
| 3Assistant Prof., Dep. of Environmental Sciences, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran | ||
| چکیده [English] | ||
| The aim of this study was to estimate soil properties using Landsat 8 satellite bands in part of farmlands of Qorveh-Dehgolan plain in western Iran. Soil sampling was conducted at a total number of 107 points from 0-15cm depth throughout the study area and their physicochemical properties were measured in the laboratory. In order to extract information from the Landsat 8 satellite image following application of the vegetation mask; DOS values for bands 1-7 were extracted for the sampling points. Correlation Analysis, Stepwise Linear Regression and Principal Component Regression were used to determine the relationship between soil properties and digital value of Landsat 8 bands. Validation of Regression Analysis was evaluated using two parameters of Coefficient of Determination and Root Mean Square Error. The results showed that there was a positive and significant correlation between the digital value of most Landsat8 bands to the amounts of sand and free iron oxides in the soil but a negative and significant of it to amounts of clay and silt in the soil. There was no significant correlation between heavy metals concentration and digital value in visible and near infrared bands while Regression Analysis did not provide acceptable performance in estimating soil properties of the study area. According to the obtained results, it seems that Landsat 8 satellite images can be used to estimate the soil texture and the amount of free iron oxides across the study area. | ||
| کلیدواژه‌ها [English] | ||
| Soil Properties, Ghorveh-Dehgolan Plain, Soil Sampling, Remote Sensing | ||
| مراجع | ||
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