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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

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری گروه علوم مرتع، دانشکده منابع طبیعی و علوم زمین، دانشگاه شهرکرد، ایران

2 دانشیار گروه علوم مرتع، دانشکده منابع طبیعی و علوم زمین، دانشگاه شهرکرد، ایران

3 دانشیار گروه منابع طبیعی، دانشگاه آزاد اسلامی واحد نور، ایران

10.22092/ijrdr.2022.128072

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

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-Kachapi 1
  • Ataollah Ebrahimi 2
  • Pejman Tahmasebi 2
  • Mohammad Hassan Jouri 3

1 Ph.D. Student, Department of Rangeland Management, Faculty of Natural Resources and Earth Science, Shahrekord University. Iran

2 Associate Professor, Department of Rangeland Management, Faculty of Natural Resources and Earth Science, Shahrekord University, Iran

3 Associate 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
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تحقیقات مرتع و بیابان ایران
دوره 29، شماره 4 - شماره پیاپی 89
دی 1401
صفحه 608-626
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