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In light of these results, we propose simplified procedures that can be adopted by UAS operators to periodically assess the radiometric fidelity of their multispectral sensors. Given the potential signal-to-noise ratio of modern high-resolution infrared sounders. Results revealed measurement variability over time, suggesting that daily differences in solar illumination and atmospheric conditions may influence derived reflectance values. 3 included image acquisition of ground reference targets using the MicaSense RedEdge sensor over seventeen sequential field surveys.
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2 involved a calculation of Normalized Difference Vegetation Index (NDVI) values at field control points using both UAS sensors, and we found a strong linear relationship between the NDVI values and measurements made by a hand-held NDVI sensor, suggesting that the calculation of a normalized band ratio (i.e., NDVI) effectively reduces the reflectance measurement inaccuracy that we observed previously. OS: Windows 10 (64-bit only) CPU: 2. With the in-house system (Tecnikopter and Tetracam), and the eBee and the Multispec 4C multispectral camera have made the process of data capture and post-processing faster. This experiment was aimed at testing the potential of this technology for archaeological benefits. This flight height and camera result in an image resolution on the ground of approximately 30 cm per pixel. The Tobii Eye Tracker 4C officially works with USB 2.0 BC1.2 which can handle spikes up to 7.5W. Their sensors possessed varying spectral ranges and spatial resolutions. the ground and capture their images using AIRINOV’s multiSPEC 4C camera. The extracted values were compared to the reflectance values acquired in the laboratory, and both UAS sensors were found to over-estimate reflectance, with lower accuracy in red-edge and NIR bands. For example, when the illuminators first turn on, the consumption can briefly spike (a matter of milliseconds) at around 5-6W. 1, imagery was collected using each UAS sensor and reflectance values were extracted from pixels covering the ground reference targets.
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A sub-set of the target materials were selected as ground reference targets for three field calibration exercises. We found a strong linear relationship between the measurements made by the MicaSense RedEdge and the spectrometer, while the relationship was much weaker for the Airinov MultiSpec 4C, particularly in the longer wavelength bands (red-edge and NIR). Enabling high-rate, low-latency and ultra-reliable wireless communications between unmanned aerial vehicles (UAVs) and their associated ground pilots/users is. In the laboratory, we measured the reflectance of a number of reference target materials using each UAS sensor, and compared the values to those measured using a calibrated spectrometer. We evaluated the performance of two multispectral sensors – the MicaSense RedEdge and the Airinov MultiSpec 4C – in both a laboratory and field setting. The main objective of this study was to develop and test a framework that can be used by Unmanned Aerial Systems (UAS) operators with varying technical backgrounds to estimate the accuracy and reliability of multispectral (visible and Near-Infrared or NIR) sensor measurements.