| Modeling the impact of surface characteristics on the surface temperature lapse rate |
| Paper ID : 1287-SMPR |
| Authors: |
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Mohammad Karimi Firozjaei1, Solmaz Fathololoumi2, Seyed Kazem Alavipanah *3, Majid Kiavarz4, Alireza Vaezi2, Ardavan Ghorbani5 1Department of Remote Sensing and GIS, Geography Faculty, University of Tehran, Tehran, Iran 2Department of Soil Science, University of Zanjan, Iran 3Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran 4Dept. of GIS & RS Faculty of Geography University of Tehran, Tehran, Iran 5Rangeland and Watershed Management Department, University of Mohaghegh Ardabili, Ardabil, Iran |
| Abstract: |
| Modeling of Surface Temperature Lapse Rate (STLR) is very important in various environmental applications. In many studies, the Land Surface Temperature (LST) - Digital Elevation Model (DEM) feature space was used to modeling of STLR. In mountainous regions, the LST is influenced by surface biophysical and topographic characteristics. Therefore, in this study, the impact of surface characteristics on the LST-DEM feature space for STLR modeling was investigated. For this purpose, a set of remote sensing data such as Landsat 8 images, MODIS products, and DEM and land use map of the Balikhli-Chay basin at 07/01/2018, 18/08/2018 and 09/03/2018 dates were used. First, Split Window (SW) algorithm was used to estimate LST, and spectral indices were employed to modeling of surface biophysical characteristics. Then, due to impact of surface biophysical and topographic characteristics on the LST-DEM feature space, the STLR value was investigated for different classes of surface biophysical characteristics, land use, and solar local incident angle. The modeled STLR values based on the LST-DEM feature space for 01/07/2018, 18/08/2018 and 09/03/2018 dates were 8.5, 1.5 and 2.4 C/Km; respectively. The STLR values in different classes of surface biophysical characteristics, land use type and topographical parameters were variable between 0.5 to 14 C/Km. Therefore, the value of STLR in different topographic and biophysical conditions is variable and the STLR modeling based on LST-DEM feature space is influenced by surface biophysical and topographic characteristics. |
| Keywords: |
| Biophysical Characteristics, Topographic Parameters, Satellite imagery, STLR |
| Status : Conditional Accept (Poster) |
