Paper
10 November 2003 Calibrated fisheye imaging systems for determination of cloud-top radiances from a UAV
Janet E. Shields, Richard W. Johnson, Monette E. Karr, Art R. Burden, Justin G. Baker
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Abstract
In order to measure cloud top radiances from Unmanned Aerial Vehicles (UAVs) or other light aircraft, two small calibrated fisheye imaging systems have recently been developed. One of these systems uses a visible-wavelength CCD and is optically filtered to measure cloud top and ground radiances near 645 nm. The other uses an InGaAs detector and is optically filtered to measure radiances near 1610 nm. These sensors are specifically designed for use with DOE's Atmospheric Radiation Measurement (ARM) Program UAV Project, and it is anticipated that they will be used for comparison with a variety of satellite-borne radiance measurements. Radiometric calibration of solid-state imagers is never trivial, as the effects of exposure time, system non-linearities, temperature, gain and other system characteristics must be adequately measured and characterized. Much experience has been gained with the ground-based Day/Night Whole Sky Imagers and the Daylight Visible/NIR Whole Sky Imagers developed and used by the group for many years. New techniques for the radiometric calibration of the two new airborne systems are being developed based on this experience and the characteristics of the sensors involved. In addition, new techniques for a more accurate angular calibration have been developed.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Janet E. Shields, Richard W. Johnson, Monette E. Karr, Art R. Burden, and Justin G. Baker "Calibrated fisheye imaging systems for determination of cloud-top radiances from a UAV", Proc. SPIE 5151, Earth Observing Systems VIII, (10 November 2003); https://doi.org/10.1117/12.506986
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Cited by 3 scholarly publications and 1 patent.
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KEYWORDS
Calibration

Imaging systems

Cameras

Sensors

Optical filters

Near infrared

Unmanned aerial vehicles

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