A low-cost method for collecting hyperspectral measurements from a small unmanned aircraft system
作者： Ali Hamidisepehr , Michael Sama
DOI: 10.1117/12.2305934
关键词: Spectrometer 、 Time delay and integration 、 Data acquisition 、 System of measurement 、 Irradiance 、 Hyperspectral imaging 、 Calibration 、 Spectral signature 、 Remote sensing 、 Environmental science
摘要: 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 spectral measurement platform deployment on UAS quantifying delineating moisture zones within an agricultural landscape. A series of portable spectrometers covering ultraviolet (UV), visible (VIS), near-infrared (NIR) wavelengths were instrumented using Raspberry Pi embedded computer that was programmed interface with the autopilot autonomous acquisition. second set identical fitted calibrated irradiance lenses capture ambient light during Data collected 2017 Great American Eclipse while observing reflectance target determine ability compensate conditions. calibration routine developed scaled raw by sensor integration time energy. The resulting exhibited consistent profile average intensity across wide range Results indicated potential mitigating effect when passively measuring system. Future work will use multiple targets test classify based signatures under
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