Mr. Ali Hamidisepehr Profile

Ali Hamidisepehr

Ph.D. Candidate at Univ. of Kentucky

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Proceedings Article | 21 May 2018 Presentation + Paper

A low-cost method for collecting hyperspectral measurements from a small unmanned aircraft system

Ali Hamidisepehr, Michael Sama

Proceedings Volume 10664, 106640H (2018) https://doi.org/10.1117/12.2305934

KEYWORDS: Reflectivity, Calibration, Spectrometers, Ultraviolet radiation, Data acquisition, Remote sensing, Temporal resolution, Agriculture, Visible radiation, Near infrared

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Small unmanned aircraft systems (UAS) are a relatively new tool for collecting remote sensing data at dense spatial and temporal resolutions. This study aimed to develop a spectral measurement platform for deployment on a UAS for quantifying and delineating moisture zones within an agricultural landscape. A series of portable spectrometers covering ultraviolet (UV), visible (VIS), and near-infrared (NIR) wavelengths were instrumented using a Raspberry Pi embedded computer that was programmed to interface with the UAS autopilot for autonomous data acquisition. A second set of identical spectrometers were fitted with calibrated irradiance lenses to capture ambient light during data acquisition. Data were collected during the 2017 Great American Eclipse while observing a reflectance target to determine the ability to compensate for ambient light conditions. A calibration routine was developed that scaled raw reflectance data by sensor integration time and ambient light energy. The resulting calibrated reflectance exhibited a consistent spectral profile and average intensity across a wide range of ambient light conditions. Results indicated the potential for mitigating the effect of ambient light when passively measuring reflectance on a portable spectral measurement system. Future work will use multiple reflectance targets to test the ability to classify targets based on spectral signatures under a wide range of ambient light conditions.

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