Due to power scalability, applications of near-infrared high energy lasers (NIR HEL) in local climate change monitoring and anomalous atmospheric parameter probing have been of interest in remote sensing research. The energy transmission effectiveness of HEL is impacted by a variety of atmospheric effects, such as atmospheric extinction and refraction, atmospheric turbulence and thermal blooming. To understand how atmospheric effects affect HEL propagation, we introduce a tropospheric laser propagation channel model to evaluate power transmission for NIR HELs by estimating focal irradiance on a focal plane under various atmospheric conditions. A key feature of thermal blooming to limit applications of HEL output power is investigated.
Airborne-based active multispectral sensing becomes an essential technology in the development of smart agriculture; unfortunately, the effectiveness of airborne-based spectral sensing is affected from atmospheric turbulence and atmospheric refraction variations. Atmospheric turbulence can degrade receiving energy density and atmospheric refraction variations can induce Angle of Arrival (AOA) error and chromatic dispersion from detecting target. A multispectral sensing model through anomalous atmosphere is introduced; sensing energy dispersed by atmospheric turbulence is discussed, sensing angle of arrival error induced by atmospheric refraction is analyzed by ray tracing. To evaluate sensing performance, theoretical computing sensing results included receiving energy and AOA error under various weather conditions are reported.
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