توانایی شاخص‌های گیاهی حاصل از دادههای سنجش از دور به منظور شناسایی و تفکیک مناطق سوخته شده در مراتع نیمه استپی استان چهار محال بختیاری

نوع مقاله : مقاله پژوهشی

نویسندگان

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

2 دانشیار و عضو هیات علمی دانشکده منابع طبیعی و علوم زمین، دانشگاه شهرکرد

3 استادیار و عضو هیات علمی دانشکده منابع طبیعی و علوم زمین، دانشگاه شهرکرد

چکیده

امروزه استفاده از تصاویر ماهواره‌ای از کم هزینه‌ترین و سریع‌ترین روش‌های ارزیابی مراتع می‌باشد. شاخص‌های گیاهی از مهم‌ترین ابزار‌های سنجش از دوری هستند که جهت نظارت و ارزیابی تغییرات پوشش گیاهی بخصوص در دوره‌های زمانی پس از آتش‌سوزی و تهیه نقشه‌های مناطق آتش‌سوزی شده در مراتع کاربرد فراوان دارند. پژوهش حاضر با توجه به اهمیت و وسعت مراتع همچنین افزایش تعدد آتش‌سوزی‌های سالیان اخیر در مراتع نیمه‌استپی کشور بویژه مراتع استان چهارمحال بختیاری انجام گردید. هدف از این پژوهش تفکیک و شناسایی مناطق سوخته شده در دوره‌های 3-1 و 5-3 سال پس از آتش‌سوزی با استفاده از شاخص‌های طیفی بمنظور اتخاذ برنامه مدیریتی مناسب پس از آتش‌سوزی در این مناطق می‌باشد. پس از محاسبه شاخص‌های طیفی، پارامتر آماری M بمنظور تعیین توان تفکیک‌پذیری مناطق آتش‌سوزی شده از مناطق مجاور محاسبه گردید. نتایج بدست آمده نشان می‌دهد که در مراتع نیمه‌استپی کشور به منظور شناسایی و تفکیک محدوده مناطق سوخته شده که دارای قدمت 1 تا 3 سال پس از آتش‌سوزی می‌باشند کاربرد شاخص‌های طیفی NBRT، NBR و CSI می‌تواند با توجه به کارآیی بالا و توانایی مناسب در تفکیک این محدوده‌ها قابل توصیه باشد. همچنین برای شناسایی و تفکیک محدوده‌های سوخته شده که قدمت 3 تا 5 سال را دارا می‌باشند کاربرد شاخص‌های طیفی T.C. Brightness و NBRT می‌توانند نتایج قابل قبولی را ارائه دهند. شاخص NBRT از بین شاخص‌های مورد بررسی برای هر دو قدمت آتش در مراتع نیمه‌استپی مورد مطالعه بمنظور تفکیک‌پذیری مناطق سوخته شده از مناطق مجاور توانایی بالایی داشته و قابل توصیه می‌باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Capability of derived vegetation indices from remotely sensed data for burned area discrimination in semi-steppic rangeland (case study of CHB province, Iran)

نویسندگان [English]

  • Ali Mohammadian 1
  • Esmaeil Asadi Borujeni 2
  • Ataollah Ebrahimi 2
  • Pejman Tahmasebi 2
  • Ali Asghar Naghipour borj 3
1 PhD Candidate of Range Management, Faculty of Natural Resources and Earth Sciences, Shahrekord University, Iran
2 - Associate prof, Faculty of Natural Resources and Earth Sciences, Shahrekord University, Iran
3 Assistant prof, Faculty of Natural Resources and Earth Sciences, Shahrekord University, Iran
چکیده [English]

Nowadays, using satellite imagery is one of the fastest and lowest-cost methods in rangeland assessment. Also, remote sensing-based vegetation indices are among the most widely used tools to assess and monitor vegetation changes, especially in the post-fire period, and to map the burned regions in rangelands. The present study was conducted considering the importance and extent of rangelands and the recently increased prevalence of fires in the semi-steppe rangelands of Iran, especially in Chaharmahal and Bakhtiari Province. The main objective of this study was to distinguish and identify the burned areas during 1-3 year and 3-5 year periods to adopt an appropriate post-fire management program in these areas using spectral indices. After calculating the spectral indices, the M statistical parameter was determined to designate the separation capability of the burned areas from the adjacent ones. According to the findings, using NBRT, NBR, and CSI indices is recommended to identify and distinguish the burned areas 1-3 years after the fire from the adjacent areas in semi-steppe rangeland regions of Iran. Overall, these indices are of high efficiency in separating these ranges. Moreover, T.C. Brightness and NBRT indices can efficiently identify and separate the burned areas 3-5 years after the fire. Among the studied indices for both periods of fire in the studied semi-steppe rangelands, the NBRT index showed a high potential for identifying the burned area from the adjacent areas.

کلیدواژه‌ها [English]

  • spectral indices
  • separability
  • semi-steppe
  • burned area
  • Chaharmahal Bakhtiari
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