No abstract

Near surface air temperature (T air) is a descriptor of terrestrial environment conditions and one of climatic variables that most widely used in climate change studies. In this search, the worker suggested a high-resolution air temperature estimation from integrating Iraqi Agrometeorological network daily (T air) and land surface temperature (LST) that derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) or from Landsat8. The objective of this search is to find model to estimate high spatial resolution air temperature for any region based on satellite images and climate datasets. The data of air temperature used for modelling is collected by four weather stations located in Babylon Governorate from December 2016 to March 2017. The standard error for MODIS winter model is 1.55 and RMSE for landsat8 winter model is 1.3.

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.