Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/116580
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Type: Journal article
Title: Error budget for geolocation of spectroradiometer point observations from an unmanned aircraft system
Author: Gautam, D.
Watson, C.
Lucieer, A.
Malenovský, Z.
Citation: Sensors, 2018; 18(10):3465-1-3465-16
Publisher: MDPI
Issue Date: 2018
ISSN: 1424-8220
1424-8220
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Responsibility: 
Deepak Gautam, Christopher Watson, Arko Lucieer and Zbynĕk Malenovský
Abstract: 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.
Keywords: Aerial spectroscopy; UAS; UAV; spectroradiometer; footprint; geolocation; error propagation
Rights: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
DOI: 10.3390/s18103465
Grant ID: http://purl.org/au-research/grants/arc/DP140101488
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