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بررسی الگوریتم طبقهبندی درختی با استفاده از تصاویر ماهوارهای لندست 8 و سنتینل 2 و تفسیر بصری تصاویر گوگل ارث در تفکیک و طبقهبندی واحدهای اکولوژیک گیاهی | ||
| تحقیقات مرتع و بیابان ایران | ||
| مقاله 10، دوره 29، شماره 4 - شماره پیاپی 89، دی 1401، صفحه 608-626 اصل مقاله (1.4 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/ijrdr.2022.128072 | ||
| نویسندگان | ||
| سمانه سادات محزونی کچپی1؛ عطاالله ابراهیمی2؛ پژمان طهماسبی* 2؛ محمد حسن جوری3 | ||
| 1دانشجوی دکتری گروه علوم مرتع، دانشکده منابع طبیعی و علوم زمین، دانشگاه شهرکرد، ایران | ||
| 2دانشیار گروه علوم مرتع، دانشکده منابع طبیعی و علوم زمین، دانشگاه شهرکرد، ایران | ||
| 3دانشیار گروه منابع طبیعی، دانشگاه آزاد اسلامی واحد نور، ایران | ||
| چکیده | ||
| از مهمترین روشهای استخراج اطلاعات از دادههای ماهوارهای، تکنیکهای مختلف طبقهبندی تصاویر میباشد. مطالعه حاضر با هدف تفکیک و طبقهبندی واحدهای اکولوژیک گیاهی توسط الگوریتم طبقهبندی درختی بر روی تصاویر ماهوارهای و همچنین تفسیر بصری تصاویر گوگل ارث در یکی از مراتع نیمهاستپی استان چهارمحال و بختیاری صورت گرفته است. پس از اعمال الگوریتم طبقهبندی در نرمافزار Idrisi TerrSet، ماتریس خطا توسط نرمافزار تولید و بر اساس مقادیر داخل این ماتریس ارزیابی آمارههای استخراج شده انجام شد. نتایج حاصل از تفسیر بصری نشان داد که در نهایت 7 نوع واحد اکولوژیک گیاهی که از نظر ویژگیهای ساختاری متفاوت بودند شناسایی و به‌صورت آمار توصیفی بیان گردیدند که شامل Astragalus verus، Bromus tomentellus، Scariola orientalis، Astragalus verus-Bromus tomentellus، Astragalus verus-Stipa hohenikeriana، Bromus tomentellus-Stipa hohenikeriana و Stipa hohenikeriana میباشند. نتایج همچنین نشان داد که دقت کلی طبقهبندی و ضریب کاپا برای تصاویر لندست 8 به ترتیب برابر 92/0 درصد و 89/0 و برای تصاویر سنتینل 2 برابر 94/0 درصد و 92/0 میباشد. بر اساس نتایج بهدست آمده مشخص شد که تصاویر ماهوارهای و تصاویر هوایی دارای قابلیت تفکیک مناسبی جهت تهیه نقشه واحدهای اکولوژیک گیاهی هستند. از آنجاییکه تفسیر بصری تصاویر گوگل ارث، روشی زمانبر بوده و هزینه بالایی در بر دارد بنابراین میتوان نتیجهگیری نمود که تصاویر ماهوارهای بهویژه سنتیل 2 به دلیل رزولوشن بالا و ارائه تصاویری با قدرت تفکیک زیاد، میتوانند بهعنوان ابزاری کاربردی و قابل استفاده، اطلاعات و جزئیات دقیقی را از پدیدههای سطح زمین فراهم آورند و بهعنوان منبع مناسبی جهت تهیه نقشه واحدهای اکولوژیک گیاهی مورد استفاده قرار گیرند. | ||
| کلیدواژه‌ها | ||
| طبقهبندی درختی؛ تفسیر بصری؛ لندست 8؛ سنتینل 2؛ واحدهای اکولوژیک | ||
| عنوان مقاله [English] | ||
| Investigation of Classification Tree Analysis Algorithm Using Landsat 8 and Sentinel 2 Satellite Images and Visual Interpretation of Google Earth Images in Separation and Classification of Plant Ecological Units | ||
| نویسندگان [English] | ||
| Samaneh Sadat Mahzooni-Kachapi1؛ Ataollah Ebrahimi2؛ Pejman Tahmasebi2؛ Mohammad Hassan Jouri3 | ||
| 1Ph.D. Student, Department of Rangeland Management, Faculty of Natural Resources and Earth Science, Shahrekord University. Iran | ||
| 2Associate Professor, Department of Rangeland Management, Faculty of Natural Resources and Earth Science, Shahrekord University, Iran | ||
| 3Associate Professor, Department of Natural Resources, Islamic Azad University, Noor Branch, Iran | ||
| چکیده [English] | ||
| One of the most important methods of extracting information from satellite data is various image classification techniques. The current research was conducted to separate and classify plant ecological units by classification tree analysis algorithm on satellite images and also visual interpretation of Google Earth images in one of the semi-steppe rangelands of Chaharmahal and Bakhtiari province. After applying the classification algorithm in Idrisi TerrSet software, the software generated the error matrix, and then based on the values inside this matrix, the extracted statistics were evaluated. The results of visual interpretation showed that finally, seven types of plant ecological units that were different in terms of structural features were identified and expressed as descriptive statistics, including Astragalus verus, Bromus tomentellus, Scariola orientalis, Astragalus verus-Bromus tomentellus, Astragalus verus -Stipa hohenikeriana, Bromus tomentellus-Stipa hohenikeriana, and Stipa hohenikeriana. The results also showed that the overall accuracy and kappa coefficients of 0.92% and 0.89 for Landsat 8 images and 0.94% and 0.92 for sentinel 2 images were achieved. Based on the obtained results, it was found that satellite images and aerial images have a suitable separation capability to prepare a map of plant ecological units. Since the visual interpretation of Google Earth images is a time-consuming and expensive method, it can be concluded that satellite images, especially Centile 2, can be used as a tool due to their high resolution and high-resolution images, Practical and usable, provide accurate information and details of the earth's surface phenomena and be used as a suitable source for preparing a map of plant ecological units. | ||
| کلیدواژه‌ها [English] | ||
| Classification Tree Analysis, Visual Interpretation, Landsat 8, Sentinel 2, Ecological Units | ||
| مراجع | ||
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