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Interaction between direct georeferencing, control point configuration and camera self-calibration for rtk-based uav photogrammetry

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TLDR
Different case studies show that the RTK option leads to sufficient results if at least 1 GCP is introduced, hence direct georeferencing offers a promising way to evaluate deformations, soil movements or mass calculations.
Abstract
. Unmanned Aerial Vehicles (UAV) are enjoying increasing popularity in the photogrammetric community. The Chinese supplier DJI is the market leader with about 70% of the global consumer UAV market. The Phantom model has been available for more than 10 years and its current version "RTK" is equipped with a 2-frequency GNSS receiver, as a basis for direct georeferencing of image flights, using RTK or PPK technologies. In the context of the paper, different case studies are investigated, which allow statements on the geometric accuracy of UAV image flights as well as on the self-calibration of the camera systems. In the first example, four DJI Phantom 4 RTK systems are examined, which were flown in a cross flight pattern configuration on the area of the UAV test field "Zeche Zollern" in Dortmund, Germany. The second example analyses the results of an open moorland area where the establishment of GCPs is extremely difficult and expensive, hence direct georeferencing offers a promising way to evaluate deformations, soil movements or mass calculations. In this example a DJI Matrice 210 v2 RTK drone has been used and the results of two different software packages (Agisoft Metashape and RealityCapture) are analysed. The third example presents a reference building that has been established by the Lower Saxony administration for geoinformation in order to evaluate UAV photogrammetry for cadastral purposes. Here again a DJI Phantom 4 RTK has been tested in a variety of flight configurations and a large number of high precision ground control and check points. The case studies show that the RTK option leads to sufficient results if at least 1 GCP is introduced. Flights without any GCPs lead to a significant height error in the order of up to 30 GSD.

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Journal ArticleDOI

Photogrammetry Using UAV-Mounted GNSS RTK: Georeferencing Strategies without GCPs

TL;DR: In this article, the authors demonstrate the linear dependence between the systematic elevation error of the models based only on the onboard GNSS RTK data and the deviation in the determined internal orientation parameters (focal length).
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UAV-Based Forest Health Monitoring: A Systematic Review

TL;DR: In this paper , a systematic analysis of 99 papers covering the last ten years of research related to UAV-based monitoring of forests threatened by biotic and abiotic stressors is presented.
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Centimetre-range deformations of built environment revealed by drone-based photogrammetry

TL;DR: In this paper, the authors investigated road structure deformations identifiable by drone surveys from 40, 50 and 60m flight altitudes, and determined deformation estimates by using the optimal georeferencing configurations were validated using high-precise levelling results.
Journal ArticleDOI

UAV and GPR Data Integration in Glacier Geometry Reconstruction: A Case Study from Irenebreen, Svalbard

TL;DR: In this article , a combination of ground-penetrating radar (GPR) measurement data of Irenebreen, and high-resolution DEM and orthomosaic, obtained from unmanned aerial vehicle (UAV) photogrammetry, allowed for the reconstruction of the glacier geometry including thermal structure.
Journal ArticleDOI

Improving UAV-SfM time-series accuracy by co-alignment and contributions of ground control or RTK positioning

E. Nota, +2 more
- 01 May 2022 - 
TL;DR: In this article , the relative accuracy of 120 Digital Surface Models (DSMs) generated through 24 workflows of UAV-SfM photogrammetry was evaluated with two different UAVs with RTK or generic Global Navigation Satellite System (GNSS) positioning, and processed with varying combinations of survey co-alignment and GCPs.
References
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Journal ArticleDOI

Accuracy analysis of photogrammetric UAV image blocks: influence of onboard RTK-GNSS and cross flight patterns

TL;DR: Results are promising: not only the absolute image orientation gets significantly enhanced when the RTK-option is used, also block deformation is reduced, however, remaining offsets originating from time synchronization or camera event triggering should be considered during flight planning.
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