Estimation High Resolution Air Temperature Based on landsat8 images and Climate Datasets

Abstract

Near surface air temperature (Ta) is one of the critical variables in environmental health, hydrology, climatology and epidemiology. In this study, we suggested a model to estimate high resolution air temperature for different region based on climate datasets estimation by Iraqi Agrometeorological network daily air temperature and the land surface temperature derived from thermal bands of landsat8 images. The new air temperature estimation was tested over part of Babylon governorate as a case study. Observations from four weather stations at Babylon governorate for four months from June to September for the year 2017 were used for modelling and accuracy assessment air temperature estimation.