Digital Terrain Model extraction using digital aerial imagery of Unmanned Aerial Vehicle

2012 ◽  
Author(s):  
Wani Sofia Udin ◽  
Ahmad Farhan Hassan ◽  
Anuar Ahmad ◽  
Khairul Nizam Tahar
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Digital Terrain Model ◽  
Aerial Imagery ◽  
Model Extraction ◽  
Terrain Model ◽  
Digital Terrain ◽  
Aerial Vehicle

scholarly journals Method and algorithm for determining the geographic coordinates of ground objects from an unmanned aerial vehicle

2021 ◽  
pp. 19-28
Author(s):  
Andrey Parfiryev ◽  
Oksana Parfiryeva ◽  
Alexandr Dushkin
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Digital Terrain Model ◽  
Optimization Methods ◽  
Slant Range ◽  
Terrain Model ◽  
Digital Terrain ◽  
Declination Angle ◽  
Aerial Vehicle ◽  
Target Designation ◽  
Angular Coordinates

Introduction: As practice shows, the accuracy of determining the coordinates of objects is influenced by many factors associated with the presence of errors in measuring the angular coordinates of the optical system, the distance to the object and the presence of an inhomogeneous terrain. Purpose: Improving the accuracy of determining the geographic coordinates of ground objects from an unmanned aerial vehicle. Results: A method and an algorithm for determining geographic coordinates based on the use of a digital terrain model and optimization methods have been developed. The accuracy of calculating the coordinates of the object is increased by minimizing the error in measuring the declination angle, azimuth to the target and slant range. To confirm the analytical calculations, a field experiment was carried out with a car on the ground. At a considerable distance, at which the slant range was 900 m, several data freeze frames were taken. As a result of calculations, the geographical coordinates of the car were obtained in two ways (traditional and developed). Ultimately, the accuracy of calculating coordinates using the developed method is 4.8 times higher. Practical relevance: The method and algorithms for information processing proposed in the work will make it possible to create a number of hardware and software solutions for guidance and target designation systems.

scholarly journals Uji Akurasi Hasil Teknologi Pesawat Udara Tanpa Awak (Unmanned Aerial Vehicle) Dalam Aplikasi Pemetaan Kebencanaan Kepesisiran

2019 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Rini Meiarti ◽  
Toshikazu Seto ◽  
Junun Sartohadi
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Digital Terrain Model ◽  
Terrain Model ◽  
Digital Terrain ◽  
Aerial Vehicle

Teknologi perolehan data spasial menggunakan sistem pesawat udara tanpa awak (UAV/Unmanned Aerial Vehicle) menjadi salah satu tekonologi pemotretan udara yang menghasilkan data spasial detil, namun penggunaannya untuk pemetaan khususnya pemetaan kebencanaan masih perlu dikaji lebih mendalam. Tujuan penelitian ialah untuk menguji ketelitian geometrik dan semantik Foto Udara Format Kecil (FUFK) dari teknologi UAV yang ke depannya data akan digunakan sebagai input pemetaan kebencanaan. Ketelitian geometrik (horizontal dan vertikal) diuji dengan membandingkan antara koordinat mosaik ortho dan Digital Terrain Model (DTM) terhadap pengukuran GNSS RTK. Data spasial yang dihasilkan dari teknologi UAV pada penelitian ini mempunyai ketelitian geometrik 0,649 m horizontal dan 1,494 m vertikal sehingga masih dapat digunakan untuk pemetaan skala besar 1:5.000 (Sutanto, 2013). Uji ketelitian semantik dengan nilai NIIRS level 6 menunjukkan bahwa FUFK hasil teknologi UAV ini mampu mempermudah interpretasi objek geografik.

scholarly journals Modelling the 2012 Lahar in a Sector of Jamapa Gorge (Pico de Orizaba Volcano, Mexico) Using RAMMS and Tree-Ring Evidence

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 333 ◽  
Author(s):  
Osvaldo Franco-Ramos ◽  
Juan Antonio Ballesteros-Cánovas ◽  
José Ernesto Figueroa-García ◽  
Lorenzo Vázquez-Selem ◽  
Markus Stoffel ◽  
...  
Keyword(s):  
Mass Movement ◽  
Digital Terrain Model ◽  
Added Value ◽  
Terrain Model ◽  
Digital Terrain ◽  
Field Evidence ◽  
Pico De Orizaba Volcano ◽  
Reduction Strategies ◽  
Aerial Vehicle ◽  
Risk Reduction Strategies

A good understanding of the frequency and magnitude of lahars is essential for the assessment of torrential hazards in volcanic terrains. In many instances, however, data on past events is scarce or incomplete, such that the evaluation of possible future risks and/or the planning of adequate countermeasures can only be done with rather limited certainty. In this paper, we present a multiidisciplinary approach based on botanical field evidence and the numerical modelling of a post-eruptive lahar that occurred in 2012 on the northern slope of the Pico de Orizaba volcano, Mexico, with the aim of reconstructing the magnitude of the event. To this end, we used the debris-flow module of the rapid mass movement simulation tool RAMMS on a highly resolved digital terrain model obtained with an unmanned aerial vehicle. The modelling was calibrated with scars found in 19 Pinus hartwegii trees that served as paleo stage indicators (PSI) of lahar magnitude in a sector of Jamapa Gorge. Using this combined assessment and calibration of RAMMS, we obtain a peak discharge of 78 m3 s−1 for the 2012 lahar event which was likely triggered by torrential rainfall during hurricane “Ernesto”. Results also show that the deviation between the modelled lahar stage (depth) and the height of PSI in trees was up to ±0.43 m. We conclude that the combination of PSI and models can be successfully used on (subtropical) volcanoes to assess the frequency, and even more so to calibrate the magnitude of lahars. The added value of the approach is particularly obvious in catchments with very scarce or no hydrological data at all and could thus also be employed for the dating and modelling of older lahars. As such, the approach and the results obtained can be used directly to support disaster risk reduction strategies at Pico de Orizaba volcano, but also in other volcanic regions.

scholarly journals DTM GENERATION THROUGH UAV SURVEY WITH A FISHEYE CAMERA ON A VINEYARD

2018 ◽  
Vol XLII-2 ◽  
pp. 983-989 ◽  
Author(s):  
G. Ronchetti ◽  
D. Pagliari ◽  
G. Sona
Keyword(s):  
Precision Agriculture ◽  
Reference Model ◽  
Digital Terrain Model ◽  
Kriging Interpolation ◽  
Terrain Model ◽  
Digital Terrain ◽  
Ground Control Points ◽  
Agricultural Applications ◽  
Aerial Vehicle ◽  
Fisheye Camera

Precision agriculture recommends a sustainable employment of nutrients and water, according to the site-specific crop requirements. In this context, the knowledge of soil characteristics allows to appropriately manage resources. Even the topography can influence the spatial distribution of the water on a field. This work focuses on the production of high-resolution Digital Terrain Model (DTM) in agriculture by photogrammetric processing fisheye images, acquired with very light Unmanned Aerial Vehicle (UAV). Particular attention is given to the data processing procedures and to the assessment of the quality of the results, considering the peculiarity of the acquired images. An experimental test has been carried out on a vineyard located in Monzambano, Northern Italy, through photogrammetric survey with Parrot Bebop 2 UAV. It has been realized at the end of the vegetation season, to investigate the ground without any impediment due to the presence of leaves or branches. In addition, the survey has been used for evaluating the performance of Bebop fisheye camera in viticulture. Different flight strategies have been tested, together with different Ground Control Points (GCPs) and Check Points (CPs) configurations and software packages. The computed DTMs have been compared with a reference model obtained through Kriging interpolation of GNSS-RTK measurements. Residuals on CPs are of the order of 0.06 m, for all the considered scenarios, that for agricultural applications is by far sufficient. The photogrammetric DTMs show a good agreement with the reference one.

Development of a 3D Viewer for georeferencing and monoplotting of historical terrestrial images.

2020 ◽  
Author(s):  
Sebastian Flöry ◽  
Camillo Ressl ◽  
Gerhard Puercher ◽  
Norbert Pfeifer ◽  
Markus Hollaus ◽  
...  
Keyword(s):  
Digital Terrain Model ◽  
Local Scale ◽  
Aerial Imagery ◽  
Ground Control ◽  
Control Points ◽  
Mountainous Regions ◽  
Terrain Model ◽  
Digital Terrain ◽  
Ground Control Points ◽  
Selection Of

<p>Mountain regions are disproportionately affected by global warming and changing precipitation conditions. Especially the strong variations within high mountain ranges at the local scale require additional sources in order to quantify changes within this challenging environment. With the emergence of alpine tourism, terrestrial photographs became available by the end of 1800, predating aerial imagery for the selected study areas by 50 years. Due to the earlier availability and oblique acquisition geometry these images are a promising source for quantifying changes within mountainous regions at the local scale. Within the research project SEHAG, methods to process these images and to analyse their potential to quantify and describe environmental changes are developed and applied to study areas in Austria and Italy.</p><p>One of the prerequisites for the estimation of changes based on terrestrial imagery is the calculation of the corresponding object point for each pixel in a global coordinate system resulting in a georeferenced orthorectified image. This can be achieved by intersecting the ray defined by the projection center of the camera and each pixel with a digital terrain model, a process known as monoplotting.</p><p>So far 1000 terrestrial images with unknown interior and exterior orientation have been collected from various archives for the selected study areas Kaunertal, Horlachtal (both Tyrol, Austria) and Martelltal (South Tyrol, Italy). In order to estimate all camera parameters a 3D viewer for the selection of ground control points has been developed and implemented. The estimation of the exterior and interior orientation is done in OrientAL. </p><p>Preliminary results for selected images show, that especially the developed 3D viewer is an important improvement for the selection of well distributed ground control points and the accurate estimation of the exterior and interior orientation. Monoplotting depends on a digital terrain model, which cannot be computed from the terrestrial images alone due to missing overlap and different acquisitions times. Hence, the combination with historical digital terrain models derived from aerial imagery is necessary to minimize errors introduced due to changes in topography until today. While the large amount of terrestrial images with their oblique acquisition geometries can be exploited to fill occluded areas by combining the results from multiple images, the partly missing or inaccurate temporal information poses another limitation.</p><p>With this large image collection, for the first time, we are able to evaluate the use of historical oblique terrestrial photographs for change detection in a systematic manner. This will promote knowledge about challenges, limitations and the achievable accuracy of monoplotting within mountainous regions. The work is part of the SEHAG project (project number I 4062) funded by the Austrian Science Fund (FWF).</p>

scholarly journals FIXED-WING MICRO AERIAL VEHICLE FOR ACCURATE CORRIDOR MAPPING

2015 ◽  
Vol II-1/W1 ◽  
pp. 23-31 ◽  
Author(s):  
M. Rehak ◽  
J. Skaloud
Keyword(s):  
Attitude Control ◽  
Position Control ◽  
Digital Terrain Model ◽  
Mapping Accuracy ◽  
Micro Aerial Vehicle ◽  
Precise Position ◽  
Terrain Model ◽  
Digital Terrain ◽  
Aerial Vehicle ◽  
Model Components

In this study we present a Micro Aerial Vehicle (MAV) equipped with precise position and attitude sensors that together with a pre-calibrated camera enables accurate corridor mapping. The design of the platform is based on widely available model components to which we integrate an open-source autopilot, customized mass-market camera and navigation sensors. We adapt the concepts of system calibration from larger mapping platforms to MAV and evaluate them practically for their achievable accuracy. We present case studies for accurate mapping without ground control points: first for a block configuration, later for a narrow corridor. We evaluate the mapping accuracy with respect to checkpoints and digital terrain model. We show that while it is possible to achieve pixel (3-5 cm) mapping accuracy in both cases, precise aerial position control is sufficient for block configuration, the precise position and attitude control is required for corridor mapping.

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