Accuracy assessment of a low-cost UAV derived digital elevation model (DEM) in a highly broken and vegetated terrain

Akturk, Emre; Altunel, Arif Oguz

doi:10.1016/j.measurement.2018.12.101

Cited by 74 publications

(65 citation statements)

References 13 publications

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“…Creating data products with SfM-MVS depends on the input of data that have been collected with a variety of considerations. Accuracy and precision are not only influenced by the quality and resolution of the sensors used to collect the images, but also by the accuracy and precision of the GNSS receiver providing the spatial information, and where necessary, by the number and position of ground control points (GCPs) utilised (55,60,61). The exception to this is in scenarios whereby actual measurements can be applied to scale a dataset, for example by applying known distances to specific points within a point cloud (62).…”

Section: Collection Of Datamentioning

confidence: 99%

“…Cunliffe et al (13) have shown that incorporating oblique imagery can help improve the accuracy of SfM-MVS derived DTMs, whilst Nesbit and Hugenholtz (65) have gone on to quantify that incorporating oblique imagery between 20–35° from nadir, along with higher overlap can improve both precision and accuracy by up to 50%. Collect data over a wider area than is required – SfM-MVS data quality deteriorates towards the edges of a reconstruction. Making sure your AOI (area of interest) is central within the data set will ensure there is enough overlap and subsequently be of higher quality (60). Cameras with an inbuilt intervalometer simplify data collection – many drones will have either an inbuilt camera mounted on a gimbal, or the ability to trigger a camera via a controller or autopilot, yet if collecting data from a kite or balloon, this will unlikely be possible.…”

Section: Collection Of Datamentioning

confidence: 99%

“…Collect data over a wider area than is required – SfM-MVS data quality deteriorates towards the edges of a reconstruction. Making sure your AOI (area of interest) is central within the data set will ensure there is enough overlap and subsequently be of higher quality (60).…”

Section: Collection Of Datamentioning

confidence: 99%

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Species and habitat mapping in two dimensions and beyond. Structure-from-Motion Multi-View Stereo photogrammetry for the Conservation Community

DeBell

McKinley

et al. 2019

Preprint

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15Structure-from-Motion Multi View Stereo (SfM-MVS) photogrammetry is a technique 16 by which volumetric data can be derived from overlapping image sets, using changes of an 17 objects position between images to determine its height and spatial structure. Whilst SfM-MVS 18 has fast become a powerful tool for scientific research, its potential lies beyond the scientific 19 setting, since it can aid in delivering information about habitat structure, biomass, landscape 20 topography, spatial distribution of species in both two and three dimensions, and aid in 21 mapping change over time -both actual and predicted. All of which are of strong relevance for 22 the conservation community, whether from a practical management perspective or 23 understanding and presenting data in new and novel ways from a policy perspective. 24 For practitioners outside of academia wanting to use SfM-MVS there are technical 25 barriers to its application. For example, there are many SfM-MVS software options, but 26 knowing which to choose, or how to get the best results from the software can be difficult for 27 the uninitiated. There are also free and open source software options (FOSS) for processing 28 data through a SfM-MVS pipeline that could benefit those in conservation management and 29 policy, especially in instances where there is limited funding (i.e. commonly within grassroots 30 or community-based projects). This paper signposts the way for the conservation community 31 to understand the choices and options for SfM-MVS implementation, its limitations, current 32 best practice guidelines and introduces applicable FOSS options such as OpenDroneMap, 33MicMac, CloudCompare, QGIS and speciesgeocodeR. It will also highlight why and where 34 this technology has the potential to become an asset for spatial, temporal and volumetric studies 35 of landscape and conservation ecology. 36 37 38 39 Relatively new technologies, such as drones (1,2), advances in computational power 40 (3,4), improvements in digital cameras (5), along with classic remote sensing platforms such 41 as kite aerial photography (KAP) and balloons (6,7), have all combined to help create a new 42 opportunity in remote sensing research utilising SfM-MVS photogrammetry. It is these 43 convergent developments that now position SfM-MVS as a cost-effective and democratic tool 44 for conservation research.45SfM-MVS approaches use parallax (i.e. minor displacements in similar images) in 46 conjunction with computer vision techniques, in order to derive 3D structures from 2D data moving object). Data such as overlapping digital photographs and GPS/GNSS (Global 49 Positioning System/Global Navigation Satellite System) information are stitched together, 50 adding distance (X and Y) and height (Z) values to pixels (points) in the combined data, 51 producing a "point cloud" (Figure 1). From this, SfM-MVS software is able to output two 52 dimensional orthographic images containing detailed geographical location information, 53 alongside 2.5 dimensional reconstruct...

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Section: Collection Of Datamentioning

confidence: 99%

Section: Collection Of Datamentioning

confidence: 99%

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Species and habitat mapping in two dimensions and beyond. Structure-from-Motion Multi-View Stereo photogrammetry for the Conservation Community

DeBell

McKinley

et al. 2019

Preprint

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“…Photogrammetry techniques based on drones equipped with a digital camera have become some of the most promising and practiced techniques in last years. Factors explaining the popularity of UAV-based surveys are the efficiency of acquisition data on heritage sites of all sizes, the relatively cheap operational expenses, the rapidly captured high-resolution images and overall maneuverability in all terrain conditions [6][7][8]. The implementation of UAVs opens various new interdisciplinary applications and research directions and has become progressively common due to the considerable potential in terms of accuracy, cost and abilities [7,9,10].…”

Section: Introductionmentioning

confidence: 99%

Feasibility Assessments Using Unmanned Aerial Vehicle Technology in Heritage Buildings: Rehabilitation-Restoration, Spatial Analysis and Tourism Potential Analysis

Sestraş

Roșca

Bilașco

et al. 2020

Sensors

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The Transylvanian region of Romania is a place of rich history since ancient times, where the original natural environment around architectural heritage sites or buildings has not been severely altered by urban development. Unfortunately, many such places are left by the authorities to degrade or totally collapse for lack of funds, vision or initiatives. The current paper addresses the potential of Unmanned Aerial Vehicles (UAVs) in the assessment of a viable and feasible prospect of restoration on a 19th century mansion that belonged to a nobiliary family. UAV use is rising in many industries and has become very popular in the last decade, but for survey engineering and related domains they represent a quantum leap in technology. Integrating UAV-acquired data and structure from motion software, has enabled modern techniques to obtain useful metrics from the field, accurate photorealistic 3D models for visual inspection, structural damage analyses, architectural rehabilitation-restoration, conservation and spatial analysis of the surrounding area. In this work a socio-cultural planning and design process is explored and presented to improve the local community and inclusion in a tourist circuit based on the regional potential, as well as an evaluation of accessibility derived from a vector-raster database that highlights the central position of the cultural heritage in regards to the axis of circulation between the important metropolitan areas and the local tourist attractions. This established workflow of modern topographic and construction measurements is fully integrable into the architectural process, building information modelling, heritage conservation and reconstruction.

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“…Unmanned aerial vehicles (UAVs), or so-called drones, unmanned aerial systems (UAS), and the pilotless aircraft (RPA) is a vehicle remotely fly the aerodynamic principles to rely on the ability of control without a pilot or autonomous [1]. The early development of UAV used for military purposes around the 19th Century [2]. Ease of use and affordable price make the drones now often used as a reliable instrument in a variety of disciplines.…”

Section: Introductionmentioning

confidence: 99%

Drone Application for Micro Basin and Flow Identification on Hilly Area, UNNES, Central Java

Hanafi¹,

Iryanthony²

2019

Proceedings of the Proceedings of the 1st International Conference on Environment and Sustainability Issues, ICESI 2019, 18-19

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Reliable topographic data needs as input for earth studies. Drone has the potential as a reliable source for detailed scale, if controlled with accurate GCP. UNNES has a topography with a representative sudden slope configuration to test the quality of the data recording. This research objectives are knowing drones potential in the detailed mapping of the 3D micro basin or flow data. Validate and comparing with DEMNAS, terrestrial RTK, for identifying basin areas or flow in the UNNES. Data acquisition using P3 Pro DJI Drone, capture PIX4D mapping software, recorded below 100 m altitudes, overlay 80%, and single grid mission. Research result showed that drones have the ability as a topographic data source by carrying out certain requirements such as a representative GCP, good quality photos and low altitude. Drone data has the flexibility on the spatial resolution and all the characteristics needed for micro DSM, morphometric and hydrological analysis. This research using RMSH 2.5 cm, 5.1 cm RMSV, and 0.98 m average accuracy.

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Accuracy assessment of a low-cost UAV derived digital elevation model (DEM) in a highly broken and vegetated terrain

Cited by 74 publications

References 13 publications

Species and habitat mapping in two dimensions and beyond. Structure-from-Motion Multi-View Stereo photogrammetry for the Conservation Community

Species and habitat mapping in two dimensions and beyond. Structure-from-Motion Multi-View Stereo photogrammetry for the Conservation Community

Feasibility Assessments Using Unmanned Aerial Vehicle Technology in Heritage Buildings: Rehabilitation-Restoration, Spatial Analysis and Tourism Potential Analysis

Drone Application for Micro Basin and Flow Identification on Hilly Area, UNNES, Central Java

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