Retrieving spatial variations of land surface temperatures from satellite data–Cairo region, Egypt

Mohamed E. Hereher*

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

12 اقتباسات (Scopus)

ملخص

Cairo region is characterized by a range of physiographic features, including: flat agricultural lands, bare sandy deserts, highlands, calcareous terrains and urban land use. A time series data-set (300 images) acquired from the Moderate Resolution Imaging Spectroradiometer for the period July 2002–June 2015 were utilized to retrieve the spatial variations in the mean land surface temperature (LST) for the above-mentioned surface features. Results showed that vegetation, topography and surface albedo have negative correlations with LST. Vegetation/LST correlation has the maximum regression coefficient (R2 = 0.68) and albedo/LST has the minimum (R2 = 0.03). Cultivated lands reveal the lowest mean LST (<32 °C), whereas industrial lands exhibit the highest LST (>40 °C) of Cairo region. There is a considerable urban heat island formed at Helwan south of Cairo, where heavy industries are settled. Industrial activities raised the mean LST of the region by at least 4 °C than the surrounding urban lands.

اللغة الأصليةEnglish
الصفحات (من إلى)556-568
عدد الصفحات13
دوريةGeocarto International
مستوى الصوت32
رقم الإصدار5
المعرِّفات الرقمية للأشياء
حالة النشرPublished - مايو 4 2017
منشور خارجيًانعم

ASJC Scopus subject areas

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