GPS precise point positioning for UAV photogrammetry

Grayson, B.; Penna, Nigel T.; Mills, J. P.; Grant, Darion

doi:10.1111/phor.12259

Cited by 81 publications

(47 citation statements)

References 58 publications

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“…Furthermore, this study provides a UAV-PPK-SfM workflow, which is provided to assess the positional accuracy, repeatability, and reproducibility of digital models. Additionally, using GPS precise point positioning (PPP) without GCPs proved to be sufficient for large-scale UAS mapping of the most remote areas [83].…”

Section: Georeferencingmentioning

confidence: 99%

“…GCPs and ground truth data coordinate acquisition is accomplished by infield measurements, using a GNSS total station and associated receiver. While accurate, acquiring GNSS data could be very time-consuming, as each georeferencing feature requires an observation time that can vary from a couple of minutes [83] to the suggested 15-20 min [5,92] or more. As mentioned (Section 2.4), GNSS stations can also read the data from a network of a permanent reference station (PRS) and with the combination of DGNSS measurements, GNSS stations can determine the receiver position more precisely than with RTK measurements [90].…”

Section: Ground Control Point Distribution and Radiometric Calibrationmentioning

confidence: 99%

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Current Practices in UAS-based Environmental Monitoring

et al. 2020

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With the increasing role that unmanned aerial systems (UAS) are playing in data collection for environmental studies, two key challenges relate to harmonizing and providing standardized guidance for data collection, and also establishing protocols that are applicable across a broad range of environments and conditions. In this context, a network of scientists are cooperating within the framework of the Harmonious Project to develop and promote harmonized mapping strategies and disseminate operational guidance to ensure best practice for data collection and interpretation. The culmination of these efforts is summarized in the present manuscript. Through this synthesis study, we identify the many interdependencies of each step in the collection and processing chain, and outline approaches to formalize and ensure a successful workflow and product development. Given the number of environmental conditions, constraints, and variables that could possibly be explored from UAS platforms, it is impractical to provide protocols that can be applied universally under all scenarios. However, it is possible to collate and systematically order the fragmented knowledge on UAS collection and analysis to identify the best practices that can best ensure the streamlined and rigorous development of scientific products.

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Section: Georeferencingmentioning

confidence: 99%

Section: Ground Control Point Distribution and Radiometric Calibrationmentioning

confidence: 99%

Current Practices in UAS-based Environmental Monitoring

et al. 2020

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“…A number of recent studies have focused on eliminating the labour intensive and costly task of physically establishing GCPs, either through innovative methodologies (e.g. Grayson et al (2018); Peppa et al (2018)) and/or through the use of SUA platforms augmented with real time kinematic (RTK) global navigation satellite systems (GNSS) (Carbonneau and Dietrich, 2017;Dall'Asta et al, 2017). Following this trend, in October 2018 DJI launched the Phantom 4 RTK SUA system which provides (a) a direct link with a DJI-manufactured differential RTK-GNSS base station, and (b) the recording of raw GNSS trajectory observations for further post-processing; two components that were not included in any previous Phantom models.…”

Section: Introductionmentioning

confidence: 99%

Photogrammetric Assessment and Comparison of Dji Phantom 4 Pro and Phantom 4 RTK Small Unmanned Aircraft Systems

Peppa

Hall

Goodyear

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> Consumer-grade Unmanned Aircraft Systems (UAS), and particularly Small Unmanned Aircraft (SUA) weighing less than 20&thinsp;kg, have recently become very attractive for photogrammetric data acquisition across a wide range of applications. Compared to other more expensive remote-sensing technology, DJI Phantom series SUA provide a trade-off between cost, sensor quality, functionality and portability. Because of the significant interest in such systems, rigorous accuracy assessment of metric performance is crucial. This research investigates the capabilities of the Phantom 4 Pro (P4P) and the recently launched Phantom 4 RTK (P4RTK) SUA through both laboratory and in-situ assessments with multi-scale photogrammetric blocks. The study adopts self-calibrating bundle adjustments from conventional photogrammetry and from a Structure-from-Motion (SfM)-photogrammetric approach. Both systems deliver planimetric and vertical absolute accuracies of better than one and two pixels ground sampling distance, respectively, against independent check points. This can be achieved if the imaging network configuration includes a mixed range of nadir and oblique imagery and several ground control points are established as reference information. Ongoing analysis is investigating the strength of all bundle adjustment solutions. It is also evaluating the GNSS capabilities of the P4RTK SUA after post-processing raw observations of its trajectory. Findings from a comprehensive accuracy assessment can support non-experts in designing the pre-flight photogrammetric data acquisition plan and aid understanding of the performance of such popular off-the-shelf SUA.</p>

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“…Eling et al 2015;Turner et al 2014]), then this information can be included within the photogrammetric processing in order to help reduce systematic error, as well as to provide accurate georeferencing. Even if highaccuracy camera position data are available, the use of at least one GCP is key to constraining vertical accuracy [Benassi et al 2017;Forlani et al 2018;Gerke and Przybilla 2016;Grayson et al 2018;Tomaštík et al 2019]. Furthermore, for all scenarios, in order to reliably quantify the accuracies achieved, some GCPs should be excluded from the processing, and used as independent check points for validation [Chandler 1999].…”

Section: Image Data Processing: Orthomosaics Dems and Multispectral mentioning

confidence: 99%

Volcanological applications of unoccupied aircraft systems (UAS): Developments, strategies, and future challenges

James

Carr²,

D'Arcy³

et al. 2020

Volcanica

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Unoccupied aircraft systems (UAS) are developing into fundamental tools for tackling the grand challenges in volcanology; here, we review the systems used and their diverse applications. UAS can typically provide image and topographic data at two orders of magnitude better spatial resolution than space-based remote sensing, and close-range observations at temporal resolutions down to those of video frame rates. Responsive deployments facilitate dense time-series measurements, unique opportunities for geophysical surveys, sample collection from hostile environments such as volcanic plumes and crater lakes, and emergency deployment of ground-based sensors (and robots) into hazardous regions. UAS have already been used to support hazard management and decisionmakers during eruptive crises. As technologies advance, increased system capabilities, autonomy, and availabilitysupported by more diverse and lighter-weight sensors-will offer unparalleled potential for hazard monitoring. UAS are expected to provide opportunities for pivotal advances in our understanding of complex physical and chemical volcanic processes. Non-technical SummaryUnoccupied aircraft systems (UAS) are developing into essential tools for understanding and monitoring volcanoes. UAS can typically provide much more detailed imagery and 3-D maps of the Earth's surface, and more frequently, than satellites are able to. They can also make measurements and collect samples for geochemical analysis from hazardous regions such as volcanic plumes and near active vents. Through being quick to deploy, they offer key advantages during initial stages of volcano unrest as well as throughout eruptions. Data from UAS have already been used to support hazard management and decision-makers during crises. In the future, UAS will become increasingly capable of flying longer and more complex missions, more autonomously and with more sophisticated sensors, and are likely to become key components of broader sensor networks for monitoring and research.

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GPS precise point positioning for UAV photogrammetry

Cited by 81 publications

References 58 publications

Current Practices in UAS-based Environmental Monitoring

Current Practices in UAS-based Environmental Monitoring

Photogrammetric Assessment and Comparison of Dji Phantom 4 Pro and Phantom 4 RTK Small Unmanned Aircraft Systems

Volcanological applications of unoccupied aircraft systems (UAS): Developments, strategies, and future challenges

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