Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Land Surface Temperature

Air Temperature Modelling Depended on Remote Sensing Techniques

Zainab T. Mohammed; Riyad H. Al-Anbari; Oday Z. Jasim

Engineering and Technology Journal, 2020, Volume 38, Issue 3A, Pages 352-360
DOI: 10.30684/etj.v38i3A.398

Air temperature (T air) near the land surface is a fundamental descriptor of physical environmental conditions and one of the most widely used climatic variables in global change studies. In this study, the researcher trying to suggest a model for estimating air temperature in summer season for any region through integrating of Iraqi Agrometeorological network
daily (T air) with the moderate resolution imaging spectroradiometer (MODIS) land surface temperature (LST), Duration Day Length (DDL) and Digital Elevation Model (DEM). In this model, using satellite images for the study area and data of air temperature for four weather stations located in Babylon governorate from 1- June to 30- September on year 2017 for modeling and accuracy assessment air temperature estimation. The standard error of this model is 1.72887° C, and the correlation equal to 0.69698.

Estimation of Land Surface Temperature for Different Regions in Iraq Using Remote Sensing Technique (ETM+); Yaseen K. Al-Timimi yassen-atimimi; Ali M. Al-Salihi; Alaa M. Al-lami

Engineering and Technology Journal, 2014, Volume 32, Issue 6, Pages 1084-1091

Temperatures are important factors that have an impact directly and indirectly on human, so the attention to this aspect certainly will be in the interest of human life.
In this research, the land surface temperature was estimated for different regions in Iraq, using the thermal Band of ETM+ sensor mounted in the Landsat 7 satellite. By using ERDAS 8.4 software, the thermal images are converted to thematic maps which represent land surface temperatures. The results showed that the estimated land surface temperatures are 29.7°C, 31.8°C, 17°C, 17.8°C, 17°C, 20.6°C and 30.2°C for Al-Mousl , Taleafer, Al-Ramadi, Heet, Kerbela, Al-Hai and Al-Basrah stations respectively. Also the results show that there is high correlation between the estimated and the observed data with a difference of 1-2°C.