بررسی سازگاری گیاهان مناطق بیابانی نسبت به تغییرات بارندگی با استفاده از شاخص گیاهی NDVI (مطالعه موردی: دشت اردکان-عقدا)
محورهای موضوعی : جنگلداری
منیرالسادات طباطبایی زاده
1
(
دانشجوی دکتری بیابان زدایی، مرکز تحقیقات کشاورزی و منابع طبیعی استان یزد، یزد، ایران
)
فاطمه هادیان
2
(
کارشناس ارشد مرتعداری، دانشکده منابع طبیعی، دانشگاه صنعتی اصفهان، اصفهان، ایران
)
سید زین العابدین حسینی
3
(
استادیار دانشکده منابع طبیعی، دانشگاه یزد، یزد، ایران
)
جلال برخورداری
4
(
عضو هیئت علمی مرکز تحقیقات کشاورزی و منابع طبیعی استان یزد، یزد، ایران
)
حسن خسروی
5
(
استادیار دانشکده منابع طبیعی، دانشگاه تهران، تهران، ایران
)
کلید واژه: همبستگی, سنجش از دور, بارش, مناطق خشک و بیابانی,
چکیده مقاله :
پایش خشکسالی یکی از مهمترین برنامه‌های مدیریت به حساب می آید، اما هزینه‌های اقتصادی، وسعت عرصه‌های طبیعی و صعب‌العبور بودن مناطق مختلف از عواملی هستند که پایش مناطق را با مشکل مواجه می سازند بنابراین امروزه از تصاویر ماهواره ای به عنوان یکی از سریعترین و کم هزینه ترین روش‌ها جهت پایش و مدیریت مناطق مورد استفاده قرار می‌گیرد. در این مطالعه از تصاویر ماهواره ای نوآ و مقادیر بارندگی فصلی و سالانه از سال 1982 تا 2005 استفاده شد و تاثیر بارندگی بر پوشش گیاهی بخشی از استان یزد (منطقه اردکان- عقدا) مورد مطالعه قرار گرفت، برای محاسبه میزان بارش در هر تیپ گیاهی 92 نقشه بارش با استفاده از آمار هواشناسی و پهنه‌بندیStance Weighting Interpolation) ) تهیه شدند. نتایج این تحقیق نشان داد که در منطقه مورد مطالعه شاخص های گیاهی NDVIو بارندگی به تنهایی قادر به توصیف پوشش گیاهی منطقه نخواهد بود که این امر ضرورت استفاده از روش‌های رگرسیون چند متغیره با کمک سایر عوامل اقلیمی را نشان می دهد علاوه بر این به دلیل همبستگی بسیار پایین بین بارندگی و شاخص NDVI، بیانگر این است که این شاخص کارایی لازم را در پایش این منطقه ندارد بهتر است از شاخص‌های گیاهی و تصاویر ماهواره‌ای با دقت بیشتر استفاده شود.
Drought monitoring is a important management program, but have some limitation as economical, huge and arduous natural areas. Then nowadays have been used satellite images for drought monitoring and management of areas as fastest and low cost method. In this research have been used NOAA satellite images and annual/seasonal precipitation data during 2005-1982 then studied effect of Precipitation on vegetation cover in a part of Yazd province (Ardakan- Aghda area). The 92 precipitation maps have been prepared For determination of precipitation value in every vegetation type by using climate data and classified by distance weighting interpolation method. The results show an alone vegetation index could not define vegetation cover of study area that necessary to used multi-regression methods with other climatic factors. Furthermore, this index is not useful for arid area because have very low correlation between INDVI index and precipitation then is necessary to use other indexes and satellite images with more quality.
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