تعیین مناسب‌ترین روش استخراج دمای سطح زمین با استفاده از تصاویر ماهواره‌ای لندست (مطالعة موردی: شهر بیرجند)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناسی ارشد ارزیابی و آمایش، گروه محیط‌زیست، دانشگاه بیرجند

2 استادیار دانشکدة محیط‌زیست، دانشگاه بیرجند

چکیده

جهان در حال گرم‌شدن است و جمعیت جهان به سکونت در شهرها روی می‌آورند. این دو حقیقت در ظاهر با هم ارتباطی ندارند اما پدیده‌ای به نام «جزیرة حرارتی شهری» این دو را به هم پیوند می‌دهد. UHI یکی از معمول‌ترین پدیده‌های اقلیم شهری است که در آن برخی مناطق شهری، به‌ویژه مراکز شهرها، چند درجه از مناطق اطراف خود گرم‌تر می‌شوند. مطالعة این پدیده و بررسی مکانیسم آن برای برنامه‌ریزی‌های شهری اهمیت بسیار زیادی دارد. در پژوهش حاضر، به‌منظور برآورد LST، از چهار الگوریتم تک‌کانالة لندست، تک‌پنجره، معادلة پلانک و معادلة انتقال تابش در محیط نرم‌افزار QGIS، در بازة زمانی 2000 و 2019 طی فصل‌های تابستان و زمستان در شهر بیرجند استفاده‌ شده و نیز اثر تغییر کاربری در جزیرة حرارتی بررسی شده است. ابتدا دمای سطح زمین در شهر بیرجند، با استفاده از تصاویر ماهواره‌ای لندست، 7 سنجندة +ETM و لندست 8، سنجندة TIRS/OLI طی سال‌های 2000 و 2019 ازطریق چهار روش‌ استخراج شد. به‌منظور بررسی توانایی کلی الگوریتم‌ها در محاسبة دمای سطح زمین، شاخص‌های آماری میانگین خطای مربعات، ضریب ناش‌ـ ساتکلیف، میانگین خطای مطلق و ضریب تعیین به‌کار رفت. نتایج نشان داد که الگوریتم تک‌کانالة لندست، در محاسبة دمای سطح زمین در شهر بیرجند، دقت بیشتری در قیاس با الگوریتم‌های دیگر دارد.

کلیدواژه‌ها

عنوان مقاله [English]

Determining the Most Suitable Method of Extracting the Surface Temperature Using

نویسندگان [English]

  • FATEMEH KAFI 1
  • Elham Yousefi 2
  • FATEMEH Jahanishakib 2
1 M.Sc. in Land Use Planning, faculty of Environment, University of Birjand
2 Assistant Prof., Faculty of Environment, University of Birjand
چکیده [English]

The world is warming and the world's population is moving to cities. These two truths do not seem to be related; But a phenomenon called urban heat island connects the two. UHI is one of the most common urban climate phenomena in which some urban areas, especially urban centers, become several degrees warmer than the surrounding areas. Studying this phenomenon and examining its mechanism is very important for urban planning. In the present study, in order to estimate LST, four single-channel Landsat algorithms, single window, Planck equation and radiation transfer equation in QGIS software environment between 2000 and 2019 in summer and winter seasons in Birjand city have been used. The effect of land use change on the thermal island has also been investigated. In the present study, ground surface temperature in Birjand city was first extracted using Landsat 7 ETM + satellite imagery and Landsat 8 TIRS / OLI sensors in 2000 and 2019 by four methods. In order to investigate the general ability of algorithms to calculate the surface temperature, the statistical indices of mean square error, Nash-Sutcliffe coefficient, mean absolute error and coefficient of determination were used. The results showed that the Landsat single-channel algorithm for calculating the surface temperature in Birjand is more accurate than other algorithms.
 

کلیدواژه‌ها [English]

  • Urban thermal islands
  • Landsat satellite
  • Birjand
  • Mean absolute error

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