Publications

Karbalaee, AR; Hedjazizadeh, Z; Masoodian, SA (2023). Dependency of LSA and LST to topographic factors in Iran, based on remote sensing data. THEORETICAL AND APPLIED CLIMATOLOGY, 153(1-2), 709-726.

Abstract
Land surface albedo (LSA) and land surface temperature (LST) are used in many environmental studies. Linking topographical factors (altitude, aspect, and slope) with LST and LSA plays an essential role in climate modeling, environmental changes, hydrology, energy balance, architecture, etc. Knowing the relationship between them is of particular importance. In this research, the data of two remote sensing products that are Modis Terra and Aqua (for the period of 2000-2019) were used to investigate the link between topographical factors, LSA, and LST. Investigating the relationship between the altitude, aspect, and slope with LST showed that this parameter is strongly influenced by topographical factors; an increase in altitude, aspect, and slope leads to a decrease in LST. The correlation coefficients of altitude, aspect, and slope with the LST are estimated to be - 0.968, - 0.927, and - 0.684, respectively. The results of linking topographical factors with albedo showed that this parameter has a strong link with altitude, so as the altitude increases, there would be an increase in albedo. But there is no significant relationship between aspect and slope considering the low correlation coefficients. The correlation coefficients of latitude, aspect, and slope with LSA are 0.95, 0.087, and 0.18 respectively. Therefore, the altitude, aspect, and slope are important factors affecting the LST in Iran. Altitude also plays a vital role in the Iran's LSA.

DOI:
10.1007/s00704-023-04489-y

ISSN:
1434-4483