Creating Digital Elevation Models Using Budget Unmanned Aerial Vehicles

2021 ◽  
pp. 37-48
Author(s):  
Andrii Achasov ◽  
Arkadiy Siedov ◽  
Alla Achasova ◽  
Ganna Titenko ◽  
Oleg Seliverstov
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Digital Elevation Models ◽  
Aerial Vehicles ◽  
Digital Elevation

scholarly journals The Methodological Aspects of Constructing a High-Resolution DEM of Large Territories Using Low-Cost UAVs on the Example of the Sarycum Aeolian Complex, Dagestan, Russia

Drones ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 7
Author(s):  
Artur Gafurov
Keyword(s):  
High Resolution ◽  
Unmanned Aerial Vehicles ◽  
Nature Reserve ◽  
Low Cost ◽  
Digital Elevation Models ◽  
Ultrahigh Resolution ◽  
Aerial Vehicles ◽  
Digital Elevation ◽  
Methodological Aspects ◽  
First Time

Unmanned aerial vehicles (UAV) have long been well established as a reliable way to construct highly accurate, up-to-date digital elevation models (DEM). However, the territories which were modeled by the results of UAV surveys can be characterized as very local. This paper presents the results of surveying the Sarycum area of the Dagestan Nature Reserve of Russia with an area of 15 sq. km using a DJI Phantom 4 UAV, as well as the methodological recommendations for conducting work on such a large territory. As a result of this work, a DEM with 0.5 m resolution as well as an ultrahigh resolution orthophotoplane were obtained for the first time for this territory, which make it possible to assess the dynamics of aeolian processes at a qualitatively different level.

The Use of Unmanned Aerial Vehicles to Assess the Intensity of Manifestation of Dangerous Coastal Processes in the Water Protection Zone of the Tsimlyansk Reservoir

2021 ◽  
pp. 56-65
Author(s):  
Olga V. Ivlieva ◽  
Lyudmila A. Bespalova ◽  
Vadim V. Glinka ◽  
Larisa V. Serdyuk ◽  
Alexander A. Chmykhov
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Coastal Processes ◽  
Water Protection ◽  
Protection Zone ◽  
Tsimlyansk Reservoir ◽  
Average Value ◽  
Erosion Processes ◽  
Aerial Vehicles ◽  
Digital Elevation ◽  
Landslide Processes

The water protection zone of the Tsimlyansk reservoir was chosen as the object of research. The subject of the study was the assessment of the intensity of manifestation of dangerous coastal processes of the reservoir: abrasion-latency, erosion activity. A method for monitoring erosion processes in water protection zones of water bodies using a software and hardware complex based on unmanned aerial vehicles and GIS technologies has been developed and tested. The optimal type of digital elevation models has been determined for assessing the density of the erosion net-work, determining the types of banks and the intensity of manifestation of abrasion and landslide processes, measuring the morphometric characteristics of erosional landforms. The types of erosional landforms were determined and the zoning of the territory of the water protection zone of the Tsimlyansk reservoir was carried out according to the density of the erosional dissection of the relief. Studies have shown that the predominant erosional forms of the relief of the water protection zone of the Tsimlyansk reservoir are ravines and gullies. The maximum average value of the density of the erosional network of the relief within the boundaries of the administrative districts of the reservoir coast falls on the Surovikinsky district. In the Kalachevsky district, the maximum value of the density of the erosion network is noted within the water protection zone of the Tsimlyansk reservoir.

scholarly journals Camera Geolocation Using Digital Elevation Models in Hilly Area

2020 ◽  
Vol 10 (19) ◽  
pp. 6661
Author(s):  
Zhibin Pan ◽  
Jin Tang ◽  
Tardi Tjahjadi ◽  
Xiaoming Xiao ◽  
Zhihu Wu
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Unmanned Vehicles ◽  
Important Application ◽  
Experimental Results ◽  
Robust Performance ◽  
Matching Method ◽  
Chain Code ◽  
Hilly Area ◽  
Aerial Vehicles ◽  
Digital Elevation

The geolocation of skyline provides an important application in unmanned vehicles, unmanned aerial vehicles, and other fields. However, the existing methods are not effective in hilly areas. In this paper, we analyze the difficulties to locate in hilly areas and propose a new geolocation method. According to the vegetation in hilly area, two new skyline features, enhanced angle chain code and lapel point, are proposed. In order to deal with the skyline being close to the camera, we also propose a matching method which incorporates skyline distance heatmap and skyline pyramid. The experimental results show that the proposed method is highly effective in hilly area and has a robust performance against noise and rotation effects.

scholarly journals Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas

2016 ◽  
Vol 20 (4) ◽  
pp. 1637-1653 ◽  
Author(s):  
João P. Leitão ◽  
Matthew Moy de Vitry ◽  
Andreas Scheidegger ◽  
Jörg Rieckermann
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Urban Areas ◽  
Overland Flow ◽  
Weather Conditions ◽  
Flight Altitude ◽  
Flow Modelling ◽  
Aerial Vehicles ◽  
Digital Elevation ◽  
Flight Parameters

Abstract. Precise and detailed digital elevation models (DEMs) are essential to accurately predict overland flow in urban areas. Unfortunately, traditional sources of DEM, such as airplane light detection and ranging (lidar) DEMs and point and contour maps, remain a bottleneck for detailed and reliable overland flow models, because the resulting DEMs are too coarse to provide DEMs of sufficient detail to inform urban overland flows. Interestingly, technological developments of unmanned aerial vehicles (UAVs) suggest that they have matured enough to be a competitive alternative to satellites or airplanes. However, this has not been tested so far. In this study we therefore evaluated whether DEMs generated from UAV imagery are suitable for urban drainage overland flow modelling. Specifically, 14 UAV flights were conducted to assess the influence of four different flight parameters on the quality of generated DEMs: (i) flight altitude, (ii) image overlapping, (iii) camera pitch, and (iv) weather conditions. In addition, we compared the best-quality UAV DEM to a conventional lidar-based DEM. To evaluate both the quality of the UAV DEMs and the comparison to lidar-based DEMs, we performed regression analysis on several qualitative and quantitative metrics, such as elevation accuracy, quality of object representation (e.g. buildings, walls and trees) in the DEM, which were specifically tailored to assess overland flow modelling performance, using the flight parameters as explanatory variables. Our results suggested that, first, as expected, flight altitude influenced the DEM quality most, where lower flights produce better DEMs; in a similar fashion, overcast weather conditions are preferable, but weather conditions and other factors influence DEM quality much less. Second, we found that for urban overland flow modelling, the UAV DEMs performed competitively in comparison to a traditional lidar-based DEM. An important advantage of using UAVs to generate DEMs in urban areas is their flexibility that enables more frequent, local, and affordable elevation data updates, allowing, for example, to capture different tree foliage conditions.

scholarly journals Digital Elevation Model Production Using Point Cloud Acquired by Unmanned Aerial Vehicles

2020 ◽  
Vol 32 (12) ◽  
pp. 4347
Author(s):  
Suk Bae Lee ◽  
Jae Ho Won ◽  
Kap Yong Jung ◽  
Mihwa Song ◽  
Young Joon Ahn
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Digital Elevation Model ◽  
Point Cloud ◽  
Aerial Vehicles ◽  
Digital Elevation ◽  
Elevation Model

scholarly journals Potential of kite-borne photogrammetry for decimetric and kilometre square 3D mapping: an application for automatic gully detection

2017 ◽  
Author(s):  
Denis Feurer ◽  
Olivier Planchon ◽  
Mohamed Amine El Maaoui ◽  
Mohamed Rached Boussema ◽  
Marc Pierrot-Deseilligny
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Open Source Software ◽  
Aerial Photography ◽  
Detection Algorithm ◽  
3D Mapping ◽  
Watershed Scale ◽  
Aerial Vehicles ◽  
Digital Elevation ◽  
The Right ◽  
The Relationship

Abstract. This work proposes an alternative method to answer the issue of quasi-exhaustive mapping of erosion features on kilometre square areas by remote sensing. This study presents a method to produce decimetric Digital Elevation Models (DEMs) with kite aerial photography and an algorithm to map gully erosion from these DEMs. Kite aerial photography is robust and cheap in comparison to Unmanned Aerial Vehicles (UAVs). The use of such a simple apparatus is made possible if the flight angle of the kite is steady. Experimentation and modelling show that this goal can be reached with these two predetermined conditions: the right kite must be used in the right wind and the line must be light and thin. In our study, we used a 10 m2 framed delta kite in 4–5 Beaufort winds using a Dyneema® line of 1 mm in diameter and 0.5 g/m in weigth for image acquisition on the day of experiment. Within two successive flights, 752 images were acquired. The photogrammetric software used was Micmac, an open-source software written and maintained by the French national institute of geographic and forest information (IGN). It allowed to obtain DEM covering 3.18 km2. Geographical reference was given by 8 ground points and 469 independent points were surveyed for validation. Estimated mean error on altitudes was 0.07 m and standard deviation of this error 0.22 m, for a 0.11 m ground sampling distance. In order to illustrate the potential of such detailed DEMs at the watershed scale, a simple gully detection algorithm was briefly described and implemented. As with several others, the method does not refer to the relationship between slope and drainage area but uses local convolution of the DEM. Considering a smoothed DEM as a proxy of the geomorphological process of gullies healing, proposed gully detection algorithm relies on substracting smoothed DEM from the original DEM. The depth of each feature is then estimated and only the bulkier elements are kept as potential gullies. Despite our algorithm detecting undesired artefacts – most of them being man-made structures such as houses and roads – all gully heads and all channels are detected. Therefore results show the benefits of the production and use of decimetric DEMs on an entire kilometre square watershed with kite-borne imagery.

scholarly journals Assessing the quality of Digital Elevation Models obtained from mini-Unmanned Aerial Vehicles for overland flow modelling in urban areas

2015 ◽  
Vol 12 (6) ◽  
pp. 5629-5670 ◽  
Author(s):  
J. P. Leitão ◽  
M. Moy de Vitry ◽  
A. Scheidegger ◽  
J. Rieckermann
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Urban Areas ◽  
Overland Flow ◽  
Weather Conditions ◽  
Flight Altitude ◽  
Flow Modelling ◽  
Aerial Vehicles ◽  
Digital Elevation ◽  
Flight Parameters

Abstract. Precise and detailed Digital Elevation Models (DEMs) are essential to accurately predict overland flow in urban areas. Unfortunately, traditional sources of DEM remain a bottleneck for detailed and reliable overland flow models, because the resulting DEMs are too coarse to provide DEMs of sufficient detail to inform urban overland flows. Interestingly, technological developments of Unmanned Aerial Vehicles (UAVs) suggest that they have matured enough to be a competitive alternative to satellites or airplanes. However, this has not been tested so far. In this this study we therefore evaluated whether DEMs generated from UAV imagery are suitable for urban drainage overland flow modelling. Specifically, fourteen UAV flights were conducted to assess the influence of four different flight parameters on the quality of generated DEMs: (i) flight altitude, (ii) image overlapping, (iii) camera pitch and (iv) weather conditions. In addition, we compared the best quality UAV DEM to a conventional Light Detection and Ranging (LiDAR)-based DEM. To evaluate both the quality of the UAV DEMs and the comparison to LiDAR-based DEMs, we performed regression analysis on several qualitative and quantitative metrics, such as elevation accuracy, quality of object representation (e.g., buildings, walls and trees) in the DEM, which were specifically tailored to assess overland flow modelling performance, using the flight parameters as explanatory variables. Our results suggested that, first, as expected, flight altitude influenced the DEM quality most, where lower flights produce better DEMs; in a similar fashion, overcast weather conditions are preferable, but weather conditions and other factors influence DEM quality much less. Second, we found that for urban overland flow modelling, the UAV DEMs performed competitively in comparison to a traditional LiDAR-based DEM. An important advantage of using UAVs to generate DEMs in urban areas is their flexibility that enables more frequent, local and affordable elevation data updates, allowing, for example, to capture different tree foliage conditions.

scholarly journals Redes sociais e bibliometria sobre a utilização de VANTs no mapeamento do risco hidrológico em áreas urbanas

2021 ◽  
Vol 10 (14) ◽  
pp. e319101422078
Author(s):  
Andrey Gaspar Sorrilha Rodrigues ◽  
Alesson Pires Maciel Guirra ◽  
Daniella Nunes Silveira ◽  
Amanda Letícia Abegg da Silveira ◽  
Jéssica Rabito Chaves ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Digital Elevation Model ◽  
Web Of Science ◽  
Aerial Vehicles ◽  
Digital Elevation ◽  
Elevation Model

Este estudo visa realizar pesquisas na base de dados Scopus e Web of Science sob o intuito de procurar trabalhos relativos ao mapeamento hídrico com o enfoque em áreas de risco utilizando VANTs. O software VOSViewer, gera infográficos fundamentados no sistema de nós exibindo os principais termos da pesquisa, autores, elementos recorrentes e palavras-chave. Categorizando os trabalhos, de forma quantitativa, em autores colaboradores, abordagem referente ao tema, tipos de publicações, principais revistas, índices, principais países, redes de colaboração e palavras-chaves, indicou os principais trabalhos pertinentes ao tema, em que, esses foram discutidos para a verificação de como o tema é abordado. 91,15% dos trabalhos estão escritos em inglês, sendo os EUA o segundo país que mais publica sobre, na retaguarda da China. Os principais termos concatenados a pesquisa são UAV – Unmanned Aerial Vehicles, Photogrammetry e DEM - Digital elevation Model, que fazem alusão ao uso de VANTs para obtenção do MDE e MDS pelo método fotogramétrico. Dentre os trabalhos, 10 apresentaram material metodológico e resultados promissores na utilização de VANT ́para mapeamento de risco hidrológico, com destaque aos trabalhos de Mazzoleni, Muthusamy Annis, Luppichini, que apresentam softwares de processamento de imagem (Agisoft PhotoScan) e de simulações hidrodinâmicas de águas pluviais e fluviais (FLO-2D e HEC-RAS). Logo, esse estudo viabilizou reconhecer condutas metodológicas, tendências, dificuldades e as vantagens da ferramenta VANT, na aplicação técnica, como alta precisão, custo relativamente baixo e alcance em áreas de difícil acesso.

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