A Comparative Analysis of Unmanned Aircraft Systems in Low Altitude Photogrammetric Surveys

Mugnai, Francesco; Tucci, Grazia

doi:10.3390/rs14030726

Cited by 10 publications

(6 citation statements)

References 38 publications

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“…In order to consistently process the images with a high accuracy, 10 permanent ground control points (GCP) were established. The photogrammetric process needs the support of control points to be able to scale and to georeference the model [ 33 ]. Most of the GCPs were placed alongside the shoreline, where the accuracy is most crucial.…”

Section: Methodsmentioning

confidence: 99%

Monitoring Dewatering Fish Spawning Sites in the Reservoir of a Large Hydropower Plant in a Lowland Country Using Unmanned Aerial Vehicles

Jurevičius

Punys

Šadzevičius

et al. 2022

Sensors

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This paper presents research concerning dewatered areas in the littoral zones of the Kaunas hydropower plant (HPP) reservoir in Lithuania. It is a multipurpose reservoir that is primarily used by two large hydropower plants for power generation. As a result of the peaking operation regime of the Kaunas HPP, the large quantity of water that is subtracted and released into the reservoir by the Kruonis pumped storage hydropower plant (PSP), and the reservoir morphology, i.e., the shallow, gently sloping littoral zone, significant dewatered areas can appear during drawdown operations. This is especially dangerous during the fish spawning period. Therefore, reservoir operation rules are in force that limit the operation of HPPs and secure other reservoir stakeholder needs. There is a lack of knowledge concerning fish spawning locations, how they change, and what areas are dewatered at different stages of HPP operation. This knowledge is crucial for decision-making and efficient reservoir storage management in order to simultaneously increase power generation and protect the environment. Current assessments of the spawning sites are mostly based on studies that were carried out in the 1990s. Surveying fish spawning sites is typically a difficult task that is usually carried out by performing manual bathymetric measurements due to the limitations of sonar in such conditions. A detailed survey of a small (approximately 5 ha) area containing several potential spawning sites was carried out using Unmanned Aerial Vehicles (UAV) equipped with multispectral and conventional RGB cameras. The captured images were processed using photogrammetry and analyzed using various techniques, including machine learning. In order to highlight water and track changes, various indices were calculated and assessed, such as the Normalized Difference Water Index (NDWI), Normalized Difference Vegetation Index (NDVI), Visible Atmospherically Resistant Index (VARI), and Normalized Green-Red Difference Index (NGRDI). High-resolution multispectral images were used to analyze the spectral footprint of aquatic macrophytes, and the possibility of using the results of this study to identify and map potential spawning sites over the entire reservoir (approximately 63.5 km2) was evaluated. The aim of the study was to investigate and implement modern surveying techniques to improve usage of reservoir storage during hydropower plant drawdown operations. The experimental results show that thresholding of the NGRDI and supervised classification of the NDWI were the best-performing methods for the shoreline detection in the fish spawning sites.

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Section: Methodsmentioning

confidence: 99%

Monitoring Dewatering Fish Spawning Sites in the Reservoir of a Large Hydropower Plant in a Lowland Country Using Unmanned Aerial Vehicles

Jurevičius

Punys

Šadzevičius

et al. 2022

Sensors

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“…In locations with GCP boundaries, changing altitude or camera types has no discernible impact on the accuracy of the final DEMs. Plans and sections that don't have a lot of detail can benefit from accurate surveys done by low AGL missions (Mugnai & Tucci, 2022). Summary of the most recent articles is presented in Table 1.…”

Section: Flying Heightmentioning

confidence: 99%

Unmanned Aerial Vehicle Photogrammetric Products Accuracy Assessment: A Review

Rabiu

Ahmad²

2023

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

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Abstract. Digital photogrammetry is an effective way for gathering data for DEM extraction, and recent advances in recording techniques and data processing have allowed for higher resolution and faster rapid generation of photogrammetric 3D models result. The model has a spatial and spectral high-resolution advantage with good geometrical positioning accuracy. The DEM quality is the primary requirement for any application and must satisfy users’ requirement. The DEM quality is usually affected by several factors during acquisition and processing stages. Considerable researches have been conducted on several parameters influencing the DEM accuracy. The review focused on discussions on topics related to unmanned aerial vehicle DEM accuracy assessment. Five parameters were considered: UAV technology; UAV Georeferencing; UAV and computer vision; UAV and LiDAR; and UAV flight parameters. Summary of the methods, their strength, weakness and regions of the most recent articles are presented. Based on this review conclusion was drawn on the UAV DEM accuracy challenging issues that need more attention from the geospatial community and suggestions for future work are offered. But there might be other possible factors that are not treated in this paper.

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“…Cada hito fue delimitado por sus coordenadas que fueron medidas con el equipo GNSS estático, el cual se conecta por una red satelital (Correa, 2018) y por medio de un aparato receptor (drone) de información se obtuvieron las coordenadas en tiempo real (Agüero et al, 2018). Fase II: Vuelos fotogramétricos en la zona de estudio Delimitado los puntos de control en la zona de estudio, se elaboró un plan de vuelo que fue llevado a cabo mediante el uso del drone Dji Mavic 2 Pro (González et al, 2019), este posee cámara fotográfica y de videos que sirve para capturar imágenes áreas (Crucil et al, 2022;Rivera, 2020), estos equipos de drones pueden tener un alcance inimaginable para muchas actividades (Oniga et al, 2022) y son la manera más eficaz, económica y precisa de obtener imágenes de alta calidad (Cienciała et al, 2022;Mugnai & Tucci, 2022;Santamaría & Sanz, 2011). Elaborado el plan de vuelo, se utilizó la aplicación del software Pix4D capture para dispositivos móviles (Barbasiewicz et al, 2018), instalados previamente en el dispositivo móvil manejado en campo, esta aplicación tiene una vista satelital que permitió delimitar los vuelos efectuados en noviembre 2020, abril y septiembre del 2021.…”

Section: Materials Y Métodosunclassified

Identification of Landslide types in cliffs between Ancon and Anconcito, Santa Elena, Ecuador

Alcivar

2022

Manglar

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On the Ecuadorian coasts, landslides are frequent that occur on cliffs that correspond to an instability maintained by the mechanical characteristics of soils and rocks in which there are discontinuities, fault planes that are activated by precipitation or coastal erosion; for this reason, this research was focused on identifying the different types of landslides found in the coastal cliff areas of Ancón and Anconcito in the province of Santa Elena, this study was carried out by photogrammetric flights with UAV technology, carried out by three flights in the study area. It was found that the study sector corresponds to an inclined rocky coast, where mass landslides (soils) and rockslides were found, such as: rotational, earth flows, erosion gullies, falling blocks, sinkholes, planar breaks, and wedge breaks. The results identified in the studied areas highlight the importance of knowing how susceptible they are to different types of movements due to high coastal erosion due to wave incidence and other factors, on the other hand, research should be carried out to show how much the coastal retreat is (m/year) produced by landslides in these areas.

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A Comparative Analysis of Unmanned Aircraft Systems in Low Altitude Photogrammetric Surveys

Cited by 10 publications

References 38 publications

Monitoring Dewatering Fish Spawning Sites in the Reservoir of a Large Hydropower Plant in a Lowland Country Using Unmanned Aerial Vehicles

Monitoring Dewatering Fish Spawning Sites in the Reservoir of a Large Hydropower Plant in a Lowland Country Using Unmanned Aerial Vehicles

Unmanned Aerial Vehicle Photogrammetric Products Accuracy Assessment: A Review

Identification of Landslide types in cliffs between Ancon and Anconcito, Santa Elena, Ecuador

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