ارزیابی روند تغییر کاربری و پوشش اراضی با استفاده از تکنیک سنجش از دور و الگوریتم طبقه‌بندی شیء‌گرا (مطالعه موردی: دشت برتش دهلران، استان ایلام)

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانشگاه آزاد اسلامی، واحد جیرفت، کرمان، ایران

2 دانشجوی دکتری بیابان‌زدایی، دانشکده منابع طبیعی و کویر شناسی، دانشگاه یزد، ایران

3 عضو هیات علمی دانشکده منابع طبیعی، دانشگاه یزد، ایران

چکیده

به دلیل افزایش جمعیت و در نتیجه افزایش نیاز به غذا، طی دهه‌های گذشته شاهد تغییرات گسترده در کاربری اراضی و به‌ویژه افزایش اراضی کشاورزی هستیم. هدف از این تحقیق، بررسی تغییرات کاربری اراضی دشت برتش در شهرستان دهلران استان ایلام طی دوره 26 ساله (1367 تا 1393) با استفاده از روش شیءگرا می‌باشد. برای انجام این تحقیق، پس از تهیه تصاویر ماهواره لندست سنجنده TM (1988)، ETM+ (2001) و لندست 8 (2014)، تصحیحات مورد نیاز انجام شد و بعد با استفاده از روش شیءگرا، نقشه کاربری اراضی مربوط به سه دوره زمانی تهیه گردید. نتایج حاصل از ارزیابی دقت نقشه‌های تولید شده نشان می‌دهد که بیشترین میزان دقت کل و ضریب کاپا با مقدار 90 و 95 درصد مربوط به تصویر سال 2001 و کمترین آن با مقدار 80 و 90 درصد مربوط به تصویر سال 1988 می‌باشد. دقت کل و ضریب کاپا در تصویر سال 2014 نیز با مقدار 90 و 92 درصد، دقت خوبی را به نمایش می‌گذارد. نتایج روند تغییرات کاربری اراضی نشان داد که کاربری مرتع متوسط با کاهش بیش از 21 هزار هکتاری، بیشترین تغییرات را داشته است. در رتبه ‌بعدی، اراضی کشاورزی قرار دارد که افزایش بیش از 15 هزار هکتاری (دو برابری) را نشان می‌دهد، که دلیل آن افزایش جمعیت و وجود منابع آبی کافی در این ناحیه می‌باشد. کاربری مرتع فقیر نیز روند افزایشی حدود 5/1 برابری را نشان می‌دهد که نشان‌دهنده تخریب مراتع متوسط می‌باشد. اراضی شوره‌زار نیز در ابتدا روند افزایشی، اما در ادامه به دلیل تبدیل شدن به اراضی کشاورزی، روند کاهشی را نشان می‌دهد. میزان دقت کل (90-900) و ضریب کاپا (95-90) نشان‌دهنده دقت بسیار بالای این روش در تعیین کاربری اراضی می‌باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Evaluating trend Change Land Use / Cover Using Remote Sensing Technique and Object-Oriented Classification Algorithm (Case study: Bartash Plain in Dehloran, Ilam)

نویسندگان [English]

  • Ali Khenamani 1
  • Hasan Fathizad 2
  • Mohamad Ali Hakimzadeh 3
1 Jiroft Branch, Islamic Azad University,Kerman, Iran
2 PhD student of Combat Desertification, Department of Natural resources and Desert Studies, Yazd University, Iran
چکیده [English]

     Over the past decades, due to increased population and consequent increase in the need for food, we have seen extensive changes in land use, and in particular, the increase of agricultural lands. The aim of this study was to evaluate the changes in land use in the Bartash plain in Dehloran city of Ilam province during 26 years from 1988 to 2014 using the object-oriented approach. To accomplish this research, the necessary corrections were made after the acquisition of Landsat TM (1988), ETM + (2001) and Landsat 8 (2014) satellite images, and then, using the object-oriented method, the land use map was prepared for the three time periods. The results of the evaluation of the accuracy of the produced maps show that the highest accuracy and Kappa coefficient with the values of 90 and 95% correspond to the image of 2001, and the lowest them with the value of 80 and 90% was related to the image of 1988. Total accuracy and Kappa coefficient in the image of 2014 with 90% and 92%, respectively show a good accuracy. The results of land use change trend showed that the land use of the fair rangeland had the most changes with a decrease of more than 21 thousand hectares. Agricultural lands are in the next place, showing an increase of over 15,000 hectares (twofold) that could be due to the increase in population and the availability of adequate water resources in this area. The land use of poor rangelands also shows an increasing trend of 1.5 fold, indicating the degradation of fair rangelands. The saline lands initially show an increasing trend but then show a decreasing trend due to converting to agricultural lands. The overall accuracy (900-90) and kappa coefficient (95-90) indicate the high accuracy of this method in determining the land use.

کلیدواژه‌ها [English]

  • land use
  • total accuracy
  • Kappa coefficient
  • Segmentation
  • Bartash plain
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