We investigate footprint geolocation uncertainties of a spectroradiometer mounted on an unmanned aircraft system (UAS). Two microelectromechanical systems-based inertial measurement units (IMUs) and global navigation satellite system (GNSS) receivers were used to determine the footprint location and extent of the spectroradiometer. Errors originating from the on-board GNSS/IMU sensors were propagated through an aerial data georeferencing model, taking into account a range of values for the spectroradiometer field of view (FOV), integration time, UAS flight speed, above ground level (AGL) flying height, and IMU grade. The spectroradiometer under nominal operating conditions (8 ∘ FOV, 10 m AGL height, 0.6 s integration time, and 3 m/s flying speed) resulted in footprint extent of 140 cm across-track and 320 cm along-track, and a geolocation uncertainty of 11 cm. Flying height and orientation measurement accuracy had the largest influence on the geolocation uncertainty, whereas the FOV, integration time, and flying speed had the biggest impact on the size of the footprint. Furthermore, with an increase in flying height, the rate of increase in geolocation uncertainty was found highest for a low-grade IMU. To increase the footprint geolocation accuracy, we recommend reducing flying height while increasing the FOV which compensates the footprint area loss and increases the signal strength. The disadvantage of a lower flying height and a larger FOV is a higher sensitivity of the footprint size to changing distance from the target. To assist in matching the footprint size to uncertainty ratio with an appropriate spatial scale, we list the expected ratio for a range of IMU grades, FOVs and AGL heights.
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http://dx.doi.org/10.3390/s18103465 | DOI Listing |
J Environ Manage
December 2024
Explicit ApS, Virum, Denmark.
The development of new measurement methods to assess fugitive methane (CH) emissions from industrial sources is needed to improve our understanding of these emissions and promote mitigation practices. Drone-based measurement methods have rapidly emerged in the last few years, however, there are still challenges in finding accurate drone-based measurement approaches and assessing their suitability. This study aims to validate and demonstrate a drone-based method that simultaneously measures atmospheric gas concentrations and wind vectors while flying downwind of the emission source.
View Article and Find Full Text PDFJ Med Imaging (Bellingham)
January 2025
KU Leuven, Department of Imaging and Pathology-Medical Physics and Quality Assessment, Leuven, Belgium.
Purpose: We characterize the flying focal spot (FFS) technology in digital breast tomosynthesis (DBT), designed to overcome source motion blurring.
Approach: A wide-angle DBT system with continuous gantry and focus motion ("uncompensated focus") and a system with FFS were compared for image sharpness and lesion detectability. The modulation transfer function (MTF) was assessed as a function of height in the projections and reconstructed images, along with lesion detectability using the contrast detail phantom for mammography (CDMAM) and the L1 phantom.
Mar Life Sci Technol
November 2024
College of Marine Sciences, Shanghai Ocean University, Shanghai, 201306 China.
Diabetologia
January 2025
Faculty of Health and Medical Science, University of Surrey, Guildford, UK.
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