Application of Remote Sensing Techniques in the Study of the Mediterranean Frontal Air Depressions in Iraq

Abstract

The study aims to digitally model air depressions in Iraq using the Python language. The boundaries of the study were represented by the regional borders of Iraq located between latitudes (29°.5) and (37.22) north, between longitudes (38.45) and (48.45) east, and between latitudes (29.5). And (37°.22) north. It was based on programming languagePython, including the Satpy library, which is concerned with processing satellite images in the field of weather and climate studies and extracting phenomena and Meteosat-8 satellite data for several years, and the year 2021 and climate station data was chosen. The study aimed to detect frontal depressions (Mediterranean depressions), and determine their places of origin, speed, and direction. In addition, drawing air fronts. The study also relied on the inductive and analytical approach in narrating and explaining the geographical phenomenon.

The study also proved that color satellite visuals have the ability to identify and diagnose frontal depressions based on spectral color fingerprints, and thus this helps in giving a true picture for understanding dynamic movements in the atmosphere.

The study recommends relying on modern technical methods to monitor and track pressure systems in their various forms, especially upper atmospheric phenomena and those close to the Earth’s surface.