پایش تغییرات پوشش گیاهی استان گلستان و مجموعه تالاب‌های بین المللی (آلما گل، آلاگل و آجی‌گل) و دلایل آن بر اساس تحلیل دو زمانه NDVI

نوع مقاله : پژوهشی

نویسندگان

1 گروه علوم محیط زیست، دانشکده منابع طبیعی و محیط زیست، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران

2 دانشکده منابع طبیعی، دانشگاه تهران، تهران، ایران.

10.30495/iper.2022.679550

چکیده

شناخت اکوسیستم مرتعی اولین گام در مدیریت این منابع و تعیین برنامه‌های آمایش سرزمین و توسعه پایدار است. هدف از مطالعه حاضر بررسی تغییرات کیفی پوشش گیاهی محدوده تالاب‌های بین المللی استان گلستان است. در این تحقیق از باندهای ماهواره لندست سنجنده‌هایTM  و OLI در طی سال‌های آماری (2018-1988) استفاده شد. در نرم‌افزار ENVI5.3 تصحیح هندسی وپیش پردازش‌های اولیه و برای تصحیحات اتمسفری از الگوریتم FLASH استفاده شد. برای بالابردن دقت طبقه‌بندی ، با استفاده از نرم افزارTERSET نقشه NDVIاستخراج  و 4 کلاس اراضی با پوشش (عالی، بسیار خوب، خوب و ضعیف)به دست آمد.سپس از تکنیک CROSSTAB میزان تغییرات پوشش گیاهی در طی سال‌های مطالعاتی محاسبه شد. نتایج نشان دهنده بیشترین افزایش مساحت در اراضی با پوشش گیاهی بسیار خوب از93/1540 به 99/2842 کیلومتر مربع وبیشترین کاهش مساحت در اراضی با پوشش خوب از 46/1329 به 94/68 کیلومتر مربع است. در این فاصله منطقه مورد مطالعه دستخوش تغییرات بود که بیشترین کاهش، شامل تخریب کلاس با پوشش خوب از 94/31 به 66/1 درصد و تبدیل آن به سایر کاربر ی‌ها بود. همچنین 46/13 کیلومتر مربع پوشش خوب به پوشش ضعیف تبدیل شده  است که اطراف  تالاب‌ها ، قسمت‌های سنگلاخی و مناطق روستایی را شامل می‌شود. پوشش خوب که بیشترین کاهش مساحت رانشان داد، اراضی مرتعی را در بر می گیرد..تغییرات کلاس با پوشش خوب حاکی از کاهش مساحت در  پوشش گیاهی ودر نتیجه  افزایش دمادر منطقه است. نتایج نشان داد که NDVI  معیار مناسبی برای ارزیابی و پایش تغییرات پوشش گیاهی و مدیریت صحیح در مراتع است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Monitoring of vegetation changes in Golestan province And a collection of international wetlands (Alma Gol, Alagol and Aji Gol) And the reasons are based on a two-time analysis of NDVI

نویسندگان [English]

  • Azita Mehrani 1
  • Borhan Riazi 1
  • Seyed Ahmad Mirbagheri 1
  • Nematollah Khorasani 2
1 Department of Environmental Sciences, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 Faculty of Natural Resources, University of Tehran, Tehran, Iran.
چکیده [English]

Understanding the rangeland ecosystem is the first step in managing these resources and determining land management and sustainable development programs.The aim of this study is to investigate the qualitative changes in the percentage of vegetation in the area of international wetlands of Golestan province. The study used Landstat satellite bands measuring TM and OLI during statistical years (1988-2018). In ENVI5.3 software, geometric correction and preliminary processing and FLASH algorithm were used for atmospheric corrections. To increase the accuracy of rangeland classification, NDVI map was prepared with TERSET software and And 4 classes of covered land (excellent, very good, good and poor) were obtained. The CROSSTAB technique also calculated changes during the years of study. Land area showed results The highest increase with very good vegetation is from 1540/93 to 2849.99 square kilometers And the largest reduction in area with well-covered lands was from 1369/46 to 68.94 square kilometers. During this time, the study area underwent changes The biggest reductions include the destruction of a well-covered class from 31.94 to 1.66 percent and its conversion to other users.Also, 13.46 square kilometers of good coverage has become poor coverage Which included the surrounding wetlands, rocky areas and rural areas.Good coverage that minimized area reduction There were pasture lands in use Class changes with good coverage indicated a reduction in area and vegetation And the temperature will rise The results showed that NDVI is a good measure for evaluating and monitoring vegetation changes and proper rangeland management.

کلیدواژه‌ها [English]

  • Golestan International Wetlands
  • remote sensing
  • Vegetation
  • NDVI
  • Sensors (OLI و TM)
  • CROSSTAB
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