نوع مقاله : مقاله پژوهشی
نویسندگان
1 استادیار سنجش از دور گروه جغرافیا، دانشگاه یزد
2 دانشجوی دکتری مدیریت مناطق خشک و بیابانی، دانشگاه یزد
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Albedo is a very important physical component in meteorology and climate, radiation transfer studies and calculation of Earth's radiation reserve and plays a very important role in climate change research and land surface models. In this study, Landsat 8 images during the summer of 2013 to 2016 were used to investigate the land surface albedo in different land uses in Yazd-Ardakan plain. Then, land use map of the study area was prepared using a variety of supervised classification methods for satellite imagery. The results showed that the map prepared with the maximum likelihood method had the highest accuracy and that map was used as the basis. The results showed that the highest albedo belonged to the Barren lands with an average of 0.31 and the lowest to the agricultural land with an average of 0.20 and respectively, from the highest to the lowest albedo coefficient for Barren lands, residential, sand dune, pasture, mountain, and agricultural land uses and Landsat image can be used with great confidence to estimate the surface albedo.
کلیدواژهها [English]
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