Title :
Predictions of plume radiation output as a function of artificial signatures
Author :
Nwaneri, Sam ; Nwaneri, Benjamin Uchenna ; Weathersby, TeAmbreya
Author_Institution :
Dept. of Adv. Technol., Alcorn State Univ., Alcorn State, MS, USA
Abstract :
The category of plume radiation [1][2] discussed in this project is the characteristics molecular sensitivity or emission of water vapor (HO2v) and carbon dioxide (CO2), and other gases. [10] shows that the electromagnetic spectrum has specific bands that strongly represent this water vapor. At 2.7 and 6.3 μm, the weaker and stronger bands show. On the other hand, the CO2 is stronger at about 4.3 μm. The radiation is temperature-driven so the spatial thermodynamics and the surface emission of these two primary contents promote the plume or shifting radiation, which is transmitted irrespective of atmospheric attenuation. This temperature dependence affects pixel composition and velocity; hence, the plume that creates the target signature [4]. Continuous-point radiation category will be referred to as field radiation target [3]. It varies from smoldering forest fire to nuclear plant exhaust plume radiation, and further to hypervelocity jet engine exhaust plume radiation. In moderate discussions, this project evaluated two target categories: environmentally initiated and security initiated targets (EIT and SIT). To separate these targets, EIT is identified as taga and SIT, as target.
Keywords :
air pollution measurement; radioactive pollution; CO2; artificial signature function; atmospheric attenuation; carbon dioxide; continuous-point radiation category; electromagnetic spectrum; forest fire; hypervelocity jet engine; pixel composition; plume radiation output predictions; spatial thermodynamics; surface emission; water vapor emission; water vapor molecular sensitivity; Absorption; Attenuation; Clouds; Gases; Radiometry; Surface treatment; Thermodynamics; Target emission; derived pixel; effective and brightness temperatures; emissivity;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352276