Estimation of land surface temperature using MODIS thermal infrared and weather station data in Iraq

Abstract

Recently Iraq experienced many environmental problems, caused by global climate changes. Therefore, it is important to monitor the real change in temperature. In order to achieve this goal, it requires a very large network of ground stations. MOD11A1 product is a tile of daily LST product (land surface temperature) at 1 km spatial resolution with a reasonable accuracy that needs to be improved. By a statistical model that relates ground truth temperature with result of LST from MODIS data it is possible to generate a correction algorithm. Lumping all daily average data of six Iraqi cities over three years a regression line that correlate، daily average truth ground temperature (TG) with daily average LST obtained from MODIS data. This correlation can be used to get a better estimation to the average daily truth temperature for any area within 1 km2 resolution in Iraq region for any given MODIS average daily LST of this area.