Estimating of Surface Albedo in Geomorphological Facies of Desert Regions of the Yazd-Ardakan Plain Using Landsat 8 Data
Surface albedo is one of the key controlling geophysical parameters in surface energy budget research and environmental and climate studies. As an efficient tool for monitoring earth surfaces, remote sensing is widely used for estimating albedo over recent decades and various algorithms of satellite data have been developed to estimate albedo. Up to now, albedo has been estimated using different types of sensors. This study presents procedures for computing of albedo using OLI sensor Landsat 8 data in different geomorphology facies, arable soil and asphalt in the Yazd- Ardakan Plain. In this way, required data from each nine images metadata of Landsat 8 were extracted for summer and autumn, 2017 and then albedo was calculated using meteorological data. Results showed that there is a difference between values of albedo in different geomorphology facies. Surface albedo average of clay land, pavement, sand dune, bare land, sand sheet, arable land and asphalt are 0.30, 0.22, 0.24, 0.26, 0.24, 0.23 and 0.24, respectively. The highest calculated albedo is related to clay land, while the lowest is observed in desert pavement facies.
Article Type:
Research/Original Article
Desert Management, Volume:6 Issue:12, 2019
33 - 48  
روش‌های دسترسی به متن این مطلب
اشتراک شخصی
در سایت عضو شوید و هزینه اشتراک یک‌ساله سایت به مبلغ 300,000ريال را پرداخت کنید. همزمان با برقراری دوره اشتراک بسته دانلود 100 مطلب نیز برای شما فعال خواهد شد!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی همه کاربران به متن مطالب خریداری نمایند!