توظيف الحزم الطيفية المتعددة في مراقبة حالات التكاثف للغيوم باستخدام مرئيات الفضائية

Abstract

     The research aims to identify and monitor conditions of condensation in the atmosphere, which leads to the formation of cloud patterns according to the components they contain. Following the formation of clouds visually is not sufficient in terms of the scene because it occupies large areas extending for thousands of kilometers. Therefore, remote sensing data gave another dimension in monitoring, analysis, interpretation and monitoring, due to its comprehensiveness, spectral pluralism and temporal recurrence. Spectral analysis of the data was done through three spectral bands (visible - thermal - water vapor) of the European satellite Meteosat, through which the moisture content and the percentage of water vapor in addition to the snow content of the clouds were determined based on the basic spectral colors (red, green, and blue) and linked to the intensity. Color and reflectivity values within the available wavebands and using software related to remote sensing techniques. ERDAS, ENVI programs.The study reached a set of results, the most important of which are: - (Remote sensing techniques have an important role in reducing effort, cost and speed of completion compared to previous methods, and their efficiency in this field has been proven by monitoring and analyzing the  components of clouds through spectral rays, identifying the most  important basic requirements in Choosing spectral bands for weather and climate visuals and determining the type of band used to distinguish snow, water, and steam. The basic colors ((red - green - blue)) and derived colors have proven sufficient in monitoring and distinguishing the basic cloud components. Dark colors indicate absorption, and light, bright colors indicate reflection. Contents the cloud.The software has proven its role in digital processing of visuals and in the process of interpreting and analyzing weather phenomena in a way that is relied upon as an indicator in analyzing and monitoring cloud condensation conditions and predicting cloud patterns and precipitation.