This presentation provides information on the development of a small Unmanned Aerial System(UAS) with a low power, high performance Intelligent Payload Module (IPM) and a hyperspectral imager to enable intelligent gathering of science grade vegetation data over agricultural fields at about 150 ft. The IPM performs real time data processing over the image data and then enables the navigation system to move the UAS to locations where measurements are optimal for science. This is important because the small UAS typically has about 30 minutes of battery power and therefore over large agricultural fields, resource utilization efficiency is important. The key innovation is the shrinking of the IPM and the cross communication with the navigation software to allow the data processing to interact with desired way points while using Field Programmable Gate Arrays to enable high performance on large data volumes produced by the hyperspectral imager.
Next Generation UAS Based Spectral Systems for Environmental Monitoring
2015
45 pages
Report
Keine Angabe
Englisch
Natural Resources & Earth Sciences , Pilotless aircraft , Remote sensors , Onboard data processing , Biochemistry , Physiology , Vegetation , Diurnal variations , Spectrum analysis , Project management , Space surveillance (ground based) , Satellite observation , Airborne equipment , Data integration
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