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Letteratura scientifica selezionata sul tema "Drone Surveys"

Autore: Grafiati

Pubblicato: 29 luglio 2024

Ultima modifica: 31 luglio 2024

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Articoli di riviste sul tema "Drone Surveys"

Davidge, Lachlan Raphael, Carey Dylan Knox e Joanne Marie Monks. "Flying towards the Future: Using Drones to Detect Lizards in Remote Alpine Terrain". Drones 8, n. 3 (25 febbraio 2024): 79. http://dx.doi.org/10.3390/drones8030079.

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Climate change is exerting significant impacts on ecosystems worldwide, with alpine regions being particularly vulnerable. Alpine fauna is relatively poorly understood, particularly in terrain which is difficult for humans to survey. Knowledge of alpine species is further limited by a paucity of survey techniques that are widely applicable in this environment. Drones have potential as a low-impact tool for surveying fauna in remote alpine terrain. New Zealand’s diverse alpine lizards are an ideal system for exploring novel survey techniques. We build on previous research demonstrating the potential of drones for surveying alpine lizards by evaluating (1) how closely a drone can approach different alpine lizard species in scree, talus, and tussock-grassland habitats and (2) the effectiveness of drone surveys compared to traditional systematic visual searches for these species and habitats. The drone (model: DJI Mavic Air 2) was able to approach within 0.1–2.5 m of a lizard (mean = 0.77 m) before triggering a flight response. Systematic visual searches outperformed drone surveys in all habitats accessible to human observers. However, drones were relatively effective in talus habitats, demonstrating their potential utility in inaccessible rocky alpine habitats. Improvements to drone technology may further enhance the utility of drone-based surveys in ecological research.

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Dundas, Shannon J., Molly Vardanega, Patrick O’Brien e Steven R. McLeod. "Quantifying Waterfowl Numbers: Comparison of Drone and Ground-Based Survey Methods for Surveying Waterfowl on Artificial Waterbodies". Drones 5, n. 1 (13 gennaio 2021): 5. http://dx.doi.org/10.3390/drones5010005.

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Drones are becoming a common method for surveying wildlife as they offer an aerial perspective of the landscape. For waterbirds in particular, drones can overcome challenges associated with surveying locations not accessible on foot. With the rapid uptake of drone technology for bird surveys, there is a need to compare and calibrate new technologies with existing survey methods. We compared waterfowl counts derived from ground- and drone-based survey methods. We sought to determine if group size and waterbody size influenced the difference between counts of non-nesting waterfowl and if detection of species varied between survey methods. Surveys of waterfowl were carried out at constructed irrigation dams and wastewater treatment ponds throughout the Riverina region of New South Wales (NSW), Australia. Data were analyzed using Bayesian multilevel models (BMLM) with weakly informative priors. Overall, drone-derived counts of waterfowl were greater (+36%) than ground counts using a spotting scope (β_ground= 0.64 [0.62–0.66], (R2 = 0.973)). Ground counts also tended to underestimate the size of groups. Waterbody size had an effect on comparative counts, with ground counts being proportionally less than drone counts (mean = 0.74). The number of species identified in each waterbody type was similar regardless of survey method. Drone-derived counts are more accurate compared to traditional ground counts, but drones do have some drawbacks including initial equipment costs and time-consuming image or photo processing. Future surveys should consider using drones for more accurately surveying waterbirds, especially when large groups of birds are present on larger waterbodies.

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Fettermann, Ticiana, Lorenzo Fiori, Len Gillman, Karen A. Stockin e Barbara Bollard. "Drone Surveys Are More Accurate Than Boat-Based Surveys of Bottlenose Dolphins (Tursiops truncatus)". Drones 6, n. 4 (25 marzo 2022): 82. http://dx.doi.org/10.3390/drones6040082.

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Generating accurate estimates of group sizes or behaviours of cetaceans from boat-based surveys can be challenging because much of their activity occurs below the water surface and observations are distorted by horizontal perspectives. Automated observation using drones is an emerging research tool for animal behavioural investigations. However, drone-based and boat-based survey methods have not been quantitatively compared for small, highly mobile cetaceans, such as Delphinidae. Here, we conduct paired concurrent boat-based and drone-based surveys, measuring the number of individuals in 21 groups and the behaviour within 13 groups of bottlenose dolphin (Tursiops truncatus). We additionally assessed the ability to detect behaviour events by the drone that would not be detectable from the boat. Drone-derived abundance counts detected 26.4% more individuals per group on average than boat-based counts (p = 0.003). Drone-based behaviour observations detected travelling 55.2% more frequently and association in subgroups 80.4% more frequently than boat-based observations (p < 0.001 for both comparisons). Whereas foraging was recorded 58.3% and resting 15.1% less frequently by the drone than by boat-based surveys, respectively (p = 0.014 and 0.024). A considerable number of underwater behaviours ranging from individual play activities to intra- and inter-species interactions (including those with humans) were observed from the drone that could not be detected from the boat. Our findings demonstrate that drone surveys can improve the accuracy of population counts and behavioural data for small cetaceans and the magnitude of the discrepancies between the two methods highlights the need for cautious interpretation of studies that have relied on boat-derived data.

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Bogolin, Amy P., Drew R. Davis, Richard J. Kline e Abdullah F. Rahman. "A drone-based survey for large, basking freshwater turtle species". PLOS ONE 16, n. 10 (27 ottobre 2021): e0257720. http://dx.doi.org/10.1371/journal.pone.0257720.

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Conservation concerns are increasing for numerous freshwater turtle species, including Pseudemys gorzugi, which has led to a call for more research. However, traditional sampling methodologies are often time consuming, labor intensive, and invasive, restricting the amount of data that can be collected. Biases of traditional sampling methods can further impair the quality of the data collected, and these shortfalls may discourage their use. The use of unmanned aerial vehicles (UAVs, drones) for conducting wildlife surveys has recently demonstrated the potential to bridge gaps in data collection by offering a less labor intensive, minimally invasive, and more efficient process. Photographs and video can be obtained by camera attachments during a drone flight and analyzed to determine population counts, abundance, and other types of data. In this study we developed a detailed protocol to survey for large, freshwater turtle species in an arid, riverine landscape. This protocol was implemented with a DJI Matrice 600 Pro drone and a SONY ILCE α6000 digital camera to determine P. gorzugi and sympatric turtle species occurrence across 42 sites in southwestern Texas, USA. The use of a large drone and high-resolution camera resulted in high identification percentages, demonstrating the potential of drones to survey for large, freshwater turtle species. Numerous advantages to drone-based surveys were identified as well as some challenges, which were addressed with additional refinement of the protocol. Our data highlight the utility of drones for conducting freshwater turtle surveys and provide a guideline to those considering implementing drone-mounted high-resolution cameras as a survey tool.

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Reis-Filho, José Amorim, e Tommaso Giarrizzo. "Drone Surveys Are More Efficient and Cost Effective Than Ground- and Boat-Based Surveys for the Inspection of Fishing Fleet at Harbors". Coasts 2, n. 4 (16 dicembre 2022): 355–68. http://dx.doi.org/10.3390/coasts2040018.

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Generating accurate estimates of the number of vessels in fishing ports using traditional methods (i.e., ground- and boat-based) can be challenging as observations are distorted by an horizontal perspective. Automated inspection using drones is an emerging research alternative for this type of investigation. However, the drone-based and ground- and boat-based survey methods have not been quantitatively compared for small-scale and commercial fishing fleets in their ports. The objective of this study was to determine the number of fishing vessels and detect onboard fishing gear using three independent sources of data along 41 ports across the Brazilian coastline. Proved by statistical significance, the drone-derived vessel counts revealed 17.9% and 26.6% more fishing vessels than ground- and boat-based surveys, respectively. These differences were further highlighted during the assessment of ports without a ground walkway, causing difficulty, especially for ground-based surveys. Considerable numbers and types of onboard fishing gear were detected using the drone survey, that could not be detected using the ground- and boat-based methods. Although the ground-based survey was associated with a lower cost in comparison with other methods, the drone-based survey required the least time to record fishing fleet features in study ports. Our findings demonstrate that drone surveys can improve the detection and precision of counts for fishing vessels and fishing gear in ports. Further, the magnitude of the discrepancies among the three methods highlights the need for employing drone surveys as a considerable time-reducing approach, and a cost-effective technique for fishery studies.

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Filippo, Tomasello. "How to legally use drones for surveys?" Journal of Civil Engineering and Environmental Sciences 9, n. 2 (8 agosto 2023): 042–45. http://dx.doi.org/10.17352/2455-488x.000066.

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Drones are very useful for civil engineering and environmental surveys because drones may increase productivity, allow more regular and comprehensive monitoring of construction progress, monitor the status of infrastructures (e.g. bridges), and anyway collect a vast amount of digital data, which can be easily stored, manipulated and shared. However, while the benefits offered to end users by drones are becoming apparent to the entire professional community, possibly not anyone is yet aware of the conditions to fly drones legally in different jurisdictions. The aim of this article is to respond to some of the most common questions on the regulation of drones, hoping that the answers might facilitate the development of business cases for organisations that have not yet decided to use drones, or which intend to expand their use. In the USA Part 107 lists detailed limitations and conditions for the UA flight, but it does not have a clear list of responsibilities of the RPIC compared with the wider responsibilities of the UAS operator (e.g. the commercial company employing the pilot). In the EU, USA, and other jurisdictions, the first obligation to legally fly a drone for professional purposes is registration; the drone (if MTOM 250 g or more) in the USA and the operator in the EU (even if the drone is below 250 g). Virtual and ‘face-to-face’ courses on the regulation of non-military drones are available at the Joint Aviation Authorities – Training Organisation (JAA-TO).

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Spaan, Denise, Claire Burke, Owen McAree, Filippo Aureli, Coral E. Rangel-Rivera, Anja Hutschenreiter, Steve N. Longmore, Paul R. McWhirter e Serge A. Wich. "Thermal Infrared Imaging from Drones Offers a Major Advance for Spider Monkey Surveys". Drones 3, n. 2 (11 aprile 2019): 34. http://dx.doi.org/10.3390/drones3020034.

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Accurate and precise population estimates form the basis of conservation action but are lacking for many arboreal species due to the high costs and difficulty in surveying these species. Recently, researchers have started to use drones to obtain data on animal distribution and density. In this study, we compared ground and drone counts for spider monkeys (Ateles geoffroyi) at their sleeping sites using a custom-built drone fitted with a thermal infrared (TIR) camera. We demonstrated that a drone with a TIR camera can be successfully employed to determine the presence and count the number of spider monkeys in a forested area. Using a concordance analysis, we found high agreement between ground and drone counts for small monkey subgroups (<10 individuals), indicating that the methods do not differ when surveying small subgroups. However, we found low agreement between methods for larger subgroups (>10 individuals), with drone counts being higher than the corresponding ground counts in 83% of surveys. We could identify additional individuals from TIR drone footage due to a greater area covered compared to ground surveys. We recommend using TIR drones for surveys of spider monkey sleeping sites and discuss current challenges to implementation.

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Take, Jelke. "Op een veelbewoond eiland: een (drone) pilotstudie naar effectieve sitekartering in arctisch Canada". Paleo-aktueel, n. 32 (20 settembre 2022): 51–59. http://dx.doi.org/10.21827/pa.32.51-59.

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On a crowded island: A (drone)pilot study to effective site mapping in arctic Canada. As drones offer a flexible and economical method for aerial archaeological data acquirement, the effectiveness of large-scale drone mapping/survey in the Canadian Arctic was tested at the Nunavut archaeological site Uglit. Archaeological research in this part of the world is logistically challenging and economically costly. Therefore, drones offer a relatively simple and inexpensive alternative to traditional surface surveys. Many of the archaeological features at Uglit are apparent in the drone imagery and the acquired data is well-suited for further site analysis. In the future, archaeological mapping of Canadian arctic sites by drones is likely to become a more integrated feature of research projects.

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Karaoulis, Marios, Ipo Ritsema, Chris Bremmer, Marco De Kleine, Gualbert Oude Essink e Edvard Ahlrichs. "Drone-Borne Electromagnetic (DR-EM) Surveying in The Netherlands: Lab and Field Validation Results". Remote Sensing 14, n. 21 (25 ottobre 2022): 5335. http://dx.doi.org/10.3390/rs14215335.

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In the past decade, drones have become available and affordable for civil applications, including mapping and monitoring the Earth with geophysical sensors. In 2017 and 2019, the feasibility of executing frequency domain electromagnetic (FDEM) surveys using an off-the-shelf drone was investigated at Deltares Institute. This paper reports firstly the preparatory tests executed to determine the optimal instrumental configuration, flight path, data processing and inversion schemes and secondly the three field validation tests executed to demonstrate the feasibility of the drone-borne electromagnetic survey in real-scale applications. At several test sites, the optimal configuration of the drone and electromagnetic instruments, such as the mounting device and distance of the electromagnetic (EM) sensor with respect to the drone, the flight altitude, the coil separation and frequency of the EM source, efficiency and safety, and the assemblage of instrument and drone data were investigated. This has resulted in a robust method to acquire accurate and repeatable in-phase, quadrature and apparent resistivity data, and a workflow for data correction, processing and inversion scheme was developed. During those tests, three EM instruments were tested. The drone-borne electromagnetic (DR-EM) system has the ability and efficacy to fly over inaccessible areas and surface water. Compared to helicopter-borne electromagnetic surveys, the spatial resolution is much higher, which allows very detailed 3D mapping of subsurface targets, and the survey costs are relatively low. Repeated drone-borne electromagnetic (DR-EM) surveys allow low-cost monitoring of local changes in water saturation and salinity.

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Kelaher, Brendan P., Victor M. Peddemors, Brent Hoade, Andrew P. Colefax e Paul A. Butcher. "Comparison of sampling precision for nearshore marine wildlife using unmanned and manned aerial surveys". Journal of Unmanned Vehicle Systems 8, n. 1 (1 marzo 2020): 30–43. http://dx.doi.org/10.1139/juvs-2018-0023.

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Aerial surveys of large marine wildlife in nearshore areas can support management actions to ensure conservation of this megafauna. While most aerial surveys of marine wildlife have been carried out using manned aircraft, unmanned aerial systems (commonly known as drones) are being increasingly used. Here, we compare the relative accuracy and precision of marine wildlife surveys from a multirotor drone and a manned helicopter for the first time. At two locations on the east coast of Australia, we simultaneously surveyed sharks (including white sharks, Carcharodon carcharias), dolphins, rays, and sea turtles in nearshore coastal areas using a multirotor drone (DJI Inspire I) and a helicopter (Robinson 44 Clipper II) over 26 separate flights. Sampling included the real-time quantification of marine wildlife by an observer in the helicopter and the pilot of the drone. The video feed from the drone was then later re-sampled in the laboratory. Of the three methods, post-hoc analysis of drone video footage is likely to provide the most accurate and precise estimates of marine wildlife in nearshore areas. When real-time data are required (e.g., for shark-risk mitigation), manned helicopters (over larger stretches of coast) and drones (across localised beaches) will both be useful.

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Più fonti

Tesi sul tema "Drone Surveys"

Amarir, Amine. "Pre-assessment of the Impact of Design Challenge Fabrication Modality on Engineering Self-Efficacy". Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103906.

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The introduction of project-based learning into university engineering programs has been shown to positively benefit students that prefer a hands-on experience and give future employers assurance that recent graduates have the tools to handle real-world problems as opposed to theoretical situations. Enhancing the engineering self-efficacy of students, recent graduates and seasoned engineers is made possible through the solution of complex, open-ended problems typically found in engineering design. A high engineering self-efficacy, in turn, positively reflects a person's perception of their complex problem-solving capacity which is critical throughout the design process. The decision to either work virtually with a team or onsite with group members nearby may also further influence self-efficacy and, ultimately, the designer's success. This raises the question explored in this study: Will a design challenge impact engineering self-efficacy equally for online and in-person participants? Two groups engaged in a design challenge to develop a mechanism meant for drone applications, where one group designed and tested their solution in-person, while the other group sent design plans to a third-party for fabrication and testing. Participants filled out a prototype engineering self-efficacy scale before and after the challenge, revealing a significant difference between these two modalities. The small sample size is noted as the cause for inaccuracies and surprising findings. Guidelines for methodology implementation in a larger scale study are included.
Master of Science
In project-based learning courses, students work in groups to make a prototype or other solution to a stated problem, which are helpful for building student confidence in problem-solving, critical thinking and, especially, engineering skills. This confidence translates to believing that carrying out a specific task will lead to success with little-to-no feelings of fear or failure. This generally describes "self-efficacy," and it can apply to any profession. Traditionally, hands-on projects are done in person, where an exchange of ideas is clear and any problems can be handled immediately. However, with schools closed due to the COVID-19 pandemic, these courses had to shift online, leading some to believe that students would not receive the same level and quality of engineering education. Online learning has been around for over 30 years and studies show that students learn just as much, if not more and better, online than sitting in a classroom. Can the same be said for taking part in an engineering project over the internet? Two groups designed a prototype drone attachment, where members of one group worked side-by-side to build and test their solution, while members of the other group worked online and sent files and assembly instructions to a third party. Each participant also filled out a questionnaire before and after the challenge to track their engineering self-efficacy. The limited data led to the conclusion that there is a noticeable difference between the two project completion methods, most likely caused by a low number of participants. The lessons learned from this study were used to create guidelines for a larger-scale study.

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Venard, Cédric. "La morphodynamique éolienne en régions sèches : des échelles spatiales et temporelles aux outils". Thesis, Lyon 2, 2012. http://www.theses.fr/2012LYO20092/document.

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Les régions sèches situées à la périphérie des déserts sont généralement peuplées et mises en valeur sur un mode sédentaire. Elles partagent cependant avec les milieux désertiques des conditions environnementales qui les rendent sensibles et fragiles. Cela implique de bien connaître les mécanismes de leurs milieux, a fortiori dans un contexte de désertification qui augmente le risque environnemental. Celui-ci est souvent évalué par le suivi de la végétation, mais l’expérience de terrain montre que les formes éoliennes pourraient apporter des compléments utiles. La morphodynamique éolienne joue en effet un rôle non négligeable dans le risque environnemental en régions sèches. Si, dans les systèmes désertiques, l’influence des activités humaines sur l’évolution des formes éoliennes de grande taille est réduite, dans les régions sèches non-désertiques, elles sont de plus petite dimension et leur vitesse de réaction aux changements des conditions du milieu est élevée. Elles sont de surcroît liées aux autres composants du paysage, avec lesquels elles interagissent fortement, et leur fonctionnement peut être corrélé aux modalités d’exploitation du milieu. Cela en fait des indicateurs pertinents et leur suivi doit donc être conçu dans une approche systémique appuyée sur une bonne maîtrise des fondements physiques de l’étude de la morphodynamique éolienne qui sont présentés en ouverture de ce mémoire. Différents outils et concepts élaborés dans les contextes désertiques, parmi lesquels les déplacements potentiels sableux et la densité d’obstacle, sont détaillés. Les effets paysagers de la morphodynamique éolienne sont illustrés par divers exemples. Son intégration dans les études de suivi est alors questionnée pour démontrer que de nouvelles approches peuvent être explorées. Les propositions faites s’intéressent en particulier à un objet, la forme éolienne d’obstacle, qui reste mal connu malgré la place qu’il tient dans les paysages des régions sèches. Une grille de caractérisation fine de cet objet est définie, à partir de laquelle un protocole de quantification et d’évaluation qualitative nécessaire à la production d’indicateurs peut être élaboré. Pour cela, les méthodes développées doivent être reproductibles et minimiser la complexité et les coûts de mise en oeuvre. Dans le domaine de la télédétection, la facilité d’utilisation et la précision des images du Pixy, paramoteur léger à voile souple, démontrent le potentiel des vecteurs de type drone. L’intérêt des satellites à très haute résolution spatiale pour, notamment, la généralisation d’études ciblées est également démontré. Les images produites correspondent notamment à une échelle intermédiaire qui faisait jusqu’alors défaut. Parmi les fournisseurs d’images très haute résolution spatiale, Google Earth est une alternative possible des fournisseurs commerciaux. La disponibilité de plus en plus grande d’images de résolution très élevée offre des perspectives d’applications dans des domaines variés. Leur exploitation présente cependant des contraintes que la Morphologie Mathématique (MM), discipline de l’analyse d’image orientée-objet, permet de contourner. Les outils de la MM facilitent l’analyse façon robuste des images non corrigées, du type Pixy ou Google Earth. Elle s’appuie sur des procédures simples à reproduire, dont les résultats s’expliquent facilement. Elle participe ainsi à réduire le coût des études. Or, la question économique du diagnostic environnemental ne peut être évacuée, en particulier dans les pays concernés par la lutte contre la désertification. Chaque chapitre de ce mémoire démontre l’importance de la prise en considération de deux seuils : d’une part, le seuil d’hétérogénéité, en-deçà duquel l’information recherchée est noyée dans le bruit d’un trop grand détail, d’autre part, le seuil d’homogénéité, au-delà duquel la maille d’analyse fait que l’information est trop lissée pour être pertinente
Drylands share with deserts many environmental conditions that make them sensitive and fragile. It is a necessity to understand the mechanisms of these environments, especially in contexts where there is a risk of desertification. Such an understanding is often assessed by monitoring vegetation. Field experience, however, shows that aeolian morphodynamics may provide useful additional information. The aeolian morphodynamics plays indeed a significant role in the environmental risk of drylands. In desert systems, the anthropogenic pressure on aeolian processes is low. On the other hand, in non-desert drylands, features are smaller but have a faster reaction time to environmental change. They interact strongly with other components of the landscape, such as human activities. Accordingly, the study of non-desertic aeolian morphodynamics has to be designed following a systematic approach. It relies on a good knowledge of fundamental physics of wind geomorphology that is described in this dissertation. Various tools and concepts developed in desert environments, including potential displacement and roughness density, are given. The effects of aeolian morphodynamics on landscapes are illustrated by various examples. Standard studies of wind dynamics are discussed and questioned to demonstrate that new approaches can be explored. This study focuses anchored dunes, which remain poorly studied despite their importance in drylands. Anchored dunes are described and characterized in detail. Then a protocole of quantification and qualitative evaluation can be elaborated.Our aim was to develop methods that are reproducible and minimize the complexity and costs of implementation. The unmanned platform, Pixy, illustrates the potential of drones which provide accurate images with a great flexibility of use. The interest of very high spatial resolution imagery provided by satellites such as QuickBird is also demonstrated. Their images introduce to an intermediate scale between field and large-scale satellite imagery. Among the providers of very high spatial resolution imagery, Google Earth (GE) appears to be a good alternative to commercial suppliers. Increasing availability of free high resolution images offers potential applications in various fields. However, their use has constraints that are managed by Mathematical Morphology (MM), an object-oriented image analysis discipline. Tools from MM allow the analysis of uncorrected images, like those of Pixy or GE. It relies on simple procedures easy to reproduce and explain. It thus contributes to reducing the cost of studies. This economic issue of environmental diagnosis cannot be ignored, especially in the countries concerned by the fight against desertification.Each chapter of this thesis demonstrates the importance of two thresholds through particular example. The threshold of heterogeneity, below which information is embedded in the background noise produced by too much detail, is the first one. The threshold of homogeneity, beyond which information is too smooth to be relevant, is the second one. This work attempts to show how these thresholds may have direct effects on results of a remote sensing study. This consideration is thus a structuring element of the methods used. Beyond the issue of aeolian morphodynamics, this thesis combines semi-automatic characterization methods of landscape elements with processes of multi-scalar integration. The results are potentially useful to any approach that seeks to understand the effects of a phenomenon at different scales

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Hansen, Cody Robert Daniel. "Magnetic signature characterization of a fixed-wing vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV)". Thesis, 2018. https://dspace.library.uvic.ca//handle/1828/10413.

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The use of magnetometers combined with unmanned aerial vehicles (UAVs) is an emerging market for commercial and military applications. This study presents the methodology used to magnetically characterize a novel fixed-wing vertical take-off and landing (VTOL) UAV. The most challenging aspect of integrating magnetometers on manned or unmanned aircraft is minimizing the amount of magnetic noise generated by the aircraft’s onboard components. As magnetometer technology has improved in recent years magnetometer payloads have decreased in size. As a result, there has been an increase in opportunities to employ small to medium UAV with magnetometer applications. However, in comparison to manned aviation, small UAVs have smaller distance scales between sources of interference and sensors. Therefore, more robust magnetic characterization techniques are required specifically for UAVs. This characterization determined the most suitable position for the magnetometer payload by evaluating the aircraft’s static-field magnetic signature. For each aircraft component, the permanent and induced magnetic dipole moment characteristics were determined experimentally. These dipole characteristics were used to build three dimensional magnetic models of the aircraft. By assembling the dipoles in 3D space, analytical and numerical static-field solutions were obtained using MATLAB computational and COMSOL finite element analysis frameworks. Finally, Tolles and Lawson aeromagnetic compensation coefficients were computed and compared to evaluate the maneuver noise for various payload locations. The magnetic models were used to study the sensitivity of the aircraft configuration and to simultaneously predict the effects at potential sensor locations. The study concluded by predicting that a wingtip location was the area of lowest magnetic interference.
Graduate

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Libri sul tema "Drone Surveys"

Goldhor, Herbert. The 1984 survey of Illinois school library media centers / Herbert Goldhor. Correction of error in "Illinois school library media center holdings : the report of a 1983 survey" in Illinois library statistical report no. 18. A survey of adults' use of public libraries for information / Jeanette M. Drone. A review of tax supported public libraries established in Illinois in 1971-80 / Herbert Goldhor. Summary of the unreported data from the 1983/84 Illinois public library annual reports / Jeanette M. Drone. --. Springfield, Ill: Illinois State Library, 1985.

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Drone Survey Mapping. GIS Mapping, 2018.

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Wich, Serge A., e Lian Pin Koh. Animal detection. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198787617.003.0006.

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Detecting animals is a key aspect of drone usage for conservation purposes. This chapter provides an overview of how drones have been used to detect animals and in some cases have been used to derive animal distribution and density. We provide several examples of studies that compared animal counts from traditional survey methods and drone surveys. To protect animals, drones have also been used in anti-poaching efforts and we discuss how drones can assist such efforts and provide examples of studies on drones and anti-poaching. As with other survey methods drones can also disturb animals. We discuss studies that have examined this issue and provide some recommendations based on those.

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Miller, Kathryn. U. S. Geological Survey Roadmap for Unmanned Aircraft Systems. Nova Science Publishers, Incorporated, 2015.

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Unterman, Manual. Survey Mapping : Study on Mapping Standards DJI Drones: Multiple Dji Drones. Independently Published, 2021.

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Lah, Darrin. Survey Mapping Techniques : Survey Mapping DJI Drones and ASPRS: Survey Mapping Standards. Independently Published, 2021.

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Kinghan, Peter, e Royal Institution of Chartered Surveyors Staff. Drones: Applications and Compliance for Surveyors. RICS Books (Royal Institution of Chartered Surveyors), 2019.

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Scollan, Abdul. Survey Mapping : Study on Mapping Standards DJI Drones: Flight Paths. Independently Published, 2021.

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Faggs, Tonda. Litchi 3d Mapping Guide : Take Your Survey Mapping with a Drone to a Whole New Level: Survey Mapping Made Simple Book 8. Independently Published, 2021.

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Vails, Jamey. Time to Fly : Shows Exactly What Mapping Standards DJI Drones Are: Survey Mapping Series. Independently Published, 2021.

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Capitoli di libri sul tema "Drone Surveys"

Bellia, Andrea Francesca, Julian Evans e Sandro Lanfranco. "A Drone’s Eye View: A Preliminary Assessment of the Efficiency of Drones in Mapping Shallow-Water Benthic Assemblages". In Proceedings e report, 501–9. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-147-1.50.

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The study assesses consumer drone efficiency for surveying shallow-water benthic cover. We hypothesised that using a drone would reduce duration, and manpower requirements, while increasing accuracy, relative to manual surveys. Results obtained during this study clearly indicated that automated drone surveys were faster and more accurate than manual survey methods under most circumstances. This result has important implications for the scientific and economic aspects of the process and would have a multiplicative effect in monitoring programs that require regular surveys.

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Szabó, Gergely, László Bertalan, Norbert Barkóczi, Zoltán Kovács, Péter Burai e Csaba Lénárt. "Zooming on Aerial Survey". In Small Flying Drones, 91–126. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66577-1_4.

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Beani, Egle, Elisabetta Colucci, Luigi La Riccia, Andrea Maria Lingua, Paolo Felice Maschio, Francesca Matrone, Alberto Possa e Ammj Traore. "The 3D Metric Survey for the Digital Cartographic Production to Support the Knowledge of the New Municipality of Mappano". In The Urban Book Series, 153–68. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33894-6_12.

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AbstractThe complexity of the territories and cities is the genesis of the need to carry out spatial analyses, simulations of complex phenomena and urban planning, requiring an evolution of very large-scale numerical cartography. The representation of cities has not to ignore some essential aspects as well as: the three-dimensionality of the land and all its natural and artificial objects, the multi-scale of geometric and descriptive information to allow different levels of detail and granularity according to the operational purposes, and the interoperability, which enable sharing of map data among various stakeholders and applications for complex analysis. The outcome resulted in the evolution of traditional cartography into numerical cartography toward new instruments and applications such as digital twins. They constitute a virtual replica of physical, potential, and actual resources equivalent to objects, processes, people, places, infrastructures, systems, and devices related to the city and the territory. The case study selected for this research is the recent municipality of Mappano, in the metropolitan city of Turin. The methodology consists of a semiautomatic extraction of cartographic information and geometry essential for defining a digital twin. It has been developed investigating the existing Piedmontese regional geoportal (BDTRE) datasets and data models, and the Geographic Information System (GIS) standard specification for 3D city models, CityGML, mainly considering the first three levels of detail (LoD). The methodology and the resulting spatial data application have been validated by in-loco surveys and digital tools in GIS environment. The starting base map entities derived from a high-resolution acquisition from drone photogrammetry (UAV, Unmanned Aerial Vehicle, platforms have been adopted). The outputs of the aerial survey, orthophotos, and dense altimetric models (DTM, Digital Terrain Model and DSM, Digital Surface Model) were essential to extract various cartographic information.

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Leonardi, Giovanni, Vincenzo Barrile, Rocco Palamara, Federica Suraci e Gabriele Candela. "Road Degradation Survey Through Images by Drone". In New Metropolitan Perspectives, 222–28. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92102-0_24.

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Barkóczi, Norbert, László Bertalan, Gergely Szabó, Márton Deák, Szabolcs Kari, Judit Csenge Vizi, Márk Zagorácz et al. "Examples from the Boundaries of Geographic Survey: Architecture and Flood Modeling". In Small Flying Drones, 127–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66577-1_5.

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Lento, Gennaro Pio. "Drone Survey of the Monastery of Panagia Kosmosoteira". In Lecture Notes in Networks and Systems, 100–109. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25906-7_12.

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Picciolo, Andrea, Rita Auriemma, Sergio Fai, Luigi Coluccia, Antonella Antonazzo e Cosimo Buccolieri. "Use of mixed study techniques in the evaluation of coastline dynamics - the “Porto Cesareo” MPA case of study". In Ninth International Symposium “Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques”, 70–82. Florence: Firenze University Press, 2022. http://dx.doi.org/10.36253/979-12-215-0030-1.07.

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The rise of the mean sea level is affecting negatively the entire coastal system, mainly due to the increase of the erosive phenomenon along the shorelines. We studied the erosion of a well knows tract of coastline, in a highly anthropized area, located inside an Italian Marine Protected Area. The methodology is based on mixed survey technics, drones aero photogrammetry surveys, aerial images acquired by the Italian Military Geographic Institute, elaboration of paleo-shorelines related to underwater archaeological markers, and on the elaboration of Sentinel-2 satellite products.

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Al-Turjman, Fadi, Mohammad Abujubbeh e Arman Malekloo. "Deployment Strategies for Drones in the IoT Era: A Survey". In Drones in IoT-enabled Spaces, 7–42. Boca Raton, FL : CRC Press/Taylor & Francis Group, 2019. |: CRC Press, 2019. http://dx.doi.org/10.1201/9780429294327-2.

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Basri, Rabeya, Fahmida Islam, Sumaita Binte Shorif e Mohammad Shorif Uddin. "Robots and Drones in Agriculture—A Survey". In Algorithms for Intelligent Systems, 9–29. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6424-0_2.

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Kumara, H. M. T. M., N. M. P. Milinda Piyasena, P. A. D. V. Vithanage e S. L. Witharana. "Accuracy Assessment of the Drone Survey Parameters for Cadastral Purposes". In Geospatial Science for Smart Land Management, 341–52. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003349518-25.

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Atti di convegni sul tema "Drone Surveys"

Stensrud, Erik, Are Torstensen, Dag-Børre Lillestøl e Kristian Klausen. "Towards Remote Inspections of FPSO's Using Drones Instrumented with Computer Vision and Hyperspectral Imaging". In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/30939-ms.

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Abstract The Class Society DNV has performed production surveys in enclosed spaces using drones since 2016, demonstrating cost savings and increased personnel safety. The goal is to develop autonomous inspection drones to reduce the need to enter tanks and enable remote inspection. The vision is a drone that can fly by itself, track where it is, and spot rust and cracks, and measure steel thickness. We expect that drone-assisted remote inspection will reduce survey costs for the clients and be a major safety improvement for surveyors. Several drone capabilities are required to enable visual close-up inspection and non-destructive testing in enclosed, GPS-denied, and poorly lit environments. In this study, we report the most recent status from an ongoing research project, including several industry partners. We highlight technical challenges and preliminary results on drone navigation functionalities, computer vision for detection of cracks, and the use of hyperspectral imaging to detect and classify the chemical composition of coatings, rust, and other use cases.

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Gisselø, P., P. Daoultzis e E. Smart. "Deep Targeting With Airborne Electromagnetic Surveys". In NSG2022 3rd Conference on Airborne, Drone and Robotic Geophysics. European Association of Geoscientists & Engineers, 2022. http://dx.doi.org/10.3997/2214-4609.202220086.

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ELVIRA GUEVARA, MARÍA, e JUAN CAMILO ROJAS. "FLOOD MODELING USING CONVENTIONAL LAND SURVEYS, DIGITAL MAPPING, AND DRONE SURVEY". In 38th IAHR World Congress. The International Association for Hydro-Environment Engineering and Research (IAHR), 2019. http://dx.doi.org/10.3850/38wc092019-0828.

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Elliott, Michael. "USE OF AEROPOINTS FOR HIGH ACCURACY DRONE SURVEYS". In 113th Annual GSA Cordilleran Section Meeting - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017cd-292262.

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Doll, William E., e T. Jeffrey Gamey. "Design constraints for low-altitude drone magnetometer surveys". In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021. Society of Exploration Geophysicists and Environment and Engineering Geophysical Society, 2021. http://dx.doi.org/10.4133/sageep.33-182.

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Ignatev, V., D. Dumler e A. Gouirand. "Application Prospects of Overhauser Magnetometers for Drone Magnetic Surveys". In Third EAGE Workshop on Mineral Exploration in Latin America “The Role of Mining in the Energy Transition”. European Association of Geoscientists & Engineers, 2023. http://dx.doi.org/10.3997/2214-4609.202384020.

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Davis, Jillian, Nick Tepylo e Jeremy Laliberte. "A Comparison of Recruitment Methods for Drone Public Perception Surveys". In AIAA AVIATION 2023 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2023. http://dx.doi.org/10.2514/6.2023-3403.

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Calluso, S., G. M. Meduri, V. Gullace, M. P. Manti e E. Genovese. "Measurement Accuracy Assessment in 3D Models Derived from Drone Surveys". In International Conference of Young Professionals «GeoTerrace-2023». European Association of Geoscientists & Engineers, 2023. http://dx.doi.org/10.3997/2214-4609.2023510029.

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Dimitrov, Stefania, e Angelica Benatti Alvim. "NOVAS TECNOLOGIAS COMO FORMA DE DIMINUIÇÃO DA SEGREGAÇÃO URBANA: o uso de drones para mapeamento de favela na cidade de São Paulo". In Seminario Internacional de Investigación en Urbanismo. Bogotá: Universidad Piloto de Colombia, 2022. http://dx.doi.org/10.5821/siiu.10114.

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For the past 30 years, public policies in São Paulo, the most populous city in Brazil, have recognized favelas as an integral part of the metropolis. However, historically, favelas are represented as empty areas on official maps. On the one hand, this situation reinforces the persistent invisibility of these areas, on the other hand, it demonstrates the lack of information for interventions. The traditional topographic surveys in loco or even the surveys generated from aerophotogrammetric refunds are deficient for the representation of the morphological complexity of the favelas. This article aims to analyze the potential and limitations of images captured by drones in favelas for the production of project material for interventions aimed at improving the inhabited environment. Case studies of surveys carried out in the Jardim Colombo and Antonico favelas, both members of the Paraisópolis Complex, the most populous favela in São Paulo, will be analyzed. Keywords: Slum, Mapping, Segregation, Drone Nos últimos trinta anos, as políticas públicas de São Paulo, a mais populosa cidade do Brasil, têm reconhecido as favelas como parte integrante da metrópole. Ainda assim, historicamente, as favelas são representadas como áreas vazias nos mapas oficiais. Por um lado, essa situação reforça a persistente invisibilidade dessas áreas, por outro, demonstra a carência de informações para intervenções. Os levantamentos topográficos tradicionais in loco ou até mesmo os levantamentos gerados a partir de restituições aerofotogramétricas são deficitários para a representação da complexidade morfológica das favelas. Este artigo pretende analisar as potencialidades e limitações das imagens captadas por drones em favelas para a produção de material de projeto de intervenções que tenham como objetivo a melhoria do ambiente habitado. Serão analisados estudos dos casos de levantamentos realizados nas favelas Jardim Colombo e Antonico, ambas integrantes do Complexo Paraisópolis, a favela mais populosa de São Paulo. Palabras clave: Favela, Mapeamento, Segregação, Drone

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Pfaffhuber, Andi, Helgard Anschuetz, Hamed Rafezi, Alexandre Novo, Ferri P. Hassani, K. I. Sorensen, Weiqiang Liu et al. "Airborne Geophysics, Remote Sensing, UAV (Drone)-based Surveys and Mining Geophysics". In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2015. Society of Exploration Geophysicists and Environment and Engineering Geophysical Society, 2015. http://dx.doi.org/10.4133/sageep.28-005.

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Rapporti di organizzazioni sul tema "Drone Surveys"

Jones, Landon R., Jared A. Elmore, B. S. Krishnan, Sathishkumar Samiappan, Kristine O. Evans, Morgan B. Pfeiffer, Bradley F. Blackwell e Raymond B. Iglay. Dataset for Controllable factors affecting accuracy and precision of human identification of animals from drone imagery. Mississippi State University, luglio 2023. http://dx.doi.org/10.54718/xblo5500.

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Dataset from the results of an experiment to determine how three controllable factors, flight altitude, camera angle, and time of day, affect human identification and counts of animals from drone images to inform best practices to survey animal communities with drones. We used a drone (unoccupied aircraft system, or UAS) to survey known numbers of eight animal decoy species, representing a range of body sizes and colors, at four GSD (ground sampling distance) values (0.35, 0.70, 1.06, 1.41 cm/pixel) representing equivalent flight altitudes (15.2, 30.5, 45.7, 61.0 m) at two camera angles (45° and 90°) and across a range of times of day (morning to late afternoon). Expert human observers identified and counted animals in drone images to determine how the three controllable factors affected accuracy and precision. Observer precision was high and unaffected by tested factors. However, results for observer accuracy revealed an interaction among all three controllable factors. Increasing flight altitude resulted in decreased accuracy in animal counts overall; however, accuracy was best at midday compared to morning and afternoon hours, when decoy and structure shadows were present or more pronounced. Surprisingly, the 45° camera enhanced accuracy compared to 90°, but only when animals were most difficult to identify and count, such as at higher flight altitudes or during the early morning and late afternoon. We provide recommendations based on our results to design future surveys to improve human accuracy in identifying and counting animals from drone images for monitoring animal populations and communities.

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Yadav, Mukesh. Analysing the Efficiency and Suitability of Drone Technology for City-Surveys in Maharashtra. Indian Institute for Human Settlements, 2019. http://dx.doi.org/10.24943/pb6aesdcsm.2019.

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Lane, Lerose, e DingXin Cheng. Pavement Condition Survey using Drone Technology. Mineta Transportation Institute, giugno 2023. http://dx.doi.org/10.31979/mti.2023.2202.

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Timely repairs of pavement defects are essential in protecting both public road and highway systems. Identification of pavement distresses is necessary for planning pavement repairs. This has previously been performed by engineers surveying the roadways visually in the field. As drone usage has progressed, it has become clear that drones are a valuable tool to enhance visual documentation, improve project communication, and provide various data for processing. The use of drone technology has improved both the speed and accuracy of capturing data. Available software has allowed the data to be processed and analyzed in an office environment. This report summarizes the use of drone technology for pavement evaluation for three case studies. Results from this study can be used to deepen understanding of drone use in the process of data gathering for timely repairs for transportation infrastructure.

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Ramirez Rufino, Smeldy, Manuel Rodriguez Porcel e Orlando Perez Richiez. Drones in Construction: Unpacking the Value that Drone Technologies Bring to the Construction Sector Across Latin America. Inter-American Development Bank, febbraio 2023. http://dx.doi.org/10.18235/0004748.

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The use of drone technology in capital projects is an emerging area that holds promise for growth. Drones are becoming more widely available, and regulatory bodies are gradually allowing their use on a larger scale. With the development of software solutions that can effectively utilize data, drones are increasingly being used throughout the entire lifecycle of capital projects, including smaller infrastructure projects. The benefits of using drones in construction projects are numerous and include providing an unparalleled record of all activities, reducing planning and survey costs, increasing productivity, improving the accuracy of volumetric measurements, and mitigating disputes over the project's status. In the future, drone data will be integrated with CAD and BIM models and artificial intelligence (AI) to track construction progress and adherence to design automatically. While the construction industry has been slower in adopting new digital technologies than other sectors, leading global companies have widely adopted drones for capital project monitoring. In Latin America, drone adoption in the infrastructure sector is still limited, but early adopters have validated and are utilizing the technology. This report provides an examination of the current state of drone use in the Latin American region, including the benefits, barriers, early adopters, and what is required to promote its adoption.

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Desa, Hazry, e Muhammad Azizi Azizan. OPTIMIZING STOCKPILE MANAGEMENT THROUGH DRONE MAPPING FOR VOLUMETRIC CALCULATION. Penerbit Universiti Malaysia Perlis, 2023. http://dx.doi.org/10.58915/techrpt2023.004.

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Stockpile volumetric calculation is an important aspect in many industries, including construction, mining, and agriculture. Accurate calculation of stockpile volumes is essential for efficient inventory management, logistics planning, and quality control. Traditionally, stockpile volumetric calculation is done using ground-based survey methods, which can be time-consuming, labour-intensive, and often inaccurate. However, with the recent advancements in drone technology, it has become possible to use drones for stockpile volumetric calculation, providing a faster, safer, and more accurate solution. The duration of this project is one year, from May 1st, 2019, until April 30th, 2020, and is comprised of two primary research components: analyzing the properties and classification of limestone and conducting digital aerial mapping to calculate stockpile volumetrics. The scope of this technical report is specifically limited to the aerial mapping aspect of the project, which was carried out using drones. The project involved two phases, with drone flights taking place during each phase, spaced about six months apart. The first drone flight for data collection occurred on July 12th, 2019, while the second took place on December 15th, 2020. The project aims to utilize drone technology for stockpile volumetric calculation, providing a more efficient and cost-effective solution. The project will involve the use of advanced drone sensors and imaging technology to capture high-resolution data of the stockpile area. The data will then be processed using sophisticated software algorithms to generate accurate 3D models and volumetric calculations of the stockpile.

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Sharpe, D. R., G. Leduc, C. S. Smart e J. Shaw. Georgian Bay bedrock erosion: evidence for regional floods, Ontario. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331409.

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We provide an updated presentation of the spectacular erosion forms at French River Ontario (Kor et al. 1991) based on new methods of data collection and wider observations. This work includes ~ 10 more detailed study sites, documentation of the range of forms over a larger area, the use of extensive drone image capture and ground surveys, as well as a detailed inventory of forms. Key sites are illustrated using video images. The update extends the conclusions of the Kor paper regarding the significance and scale of subglacial meltwater erosion with some novel findings. We document the importance of plucking (including hydraulic plucking) and, the control of structure on s-forms, which were not highlighted in the Kor study. Apparent cavitation erosion forms are prominent across the study area and provide support for inferred high-velocity meltwater flow. A growing interpretative framework includes discussion of evidence to test a theorized hydraulic sequence of sheet-channel-distributed flow, followed by re-grounding of glacial ice as meltwater flow waned. This hydraulic sequence may also be complementary to observations in thick sediment terrain down flow.

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Yadav, Mukesh, Deepika Jha e Ruby Moun. City Survey in Maharashtra using Drone Technology. Indian Institute for Human Settlements, 2020. http://dx.doi.org/10.24943/csmdt07.2020.

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Nguyen, Hien V., Terese W. Manley e Kamel S. Saidi. Survey of drone usage in public safety agencies. Gaithersburg, MD: National Institute of Standards and Technology, aprile 2020. http://dx.doi.org/10.6028/nist.ir.8305.

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Eckman, Stephanie, Joe Eyerman e Dorota Temple. Unmanned Aircraft Systems Can Improve Survey Data Collection. RTI Press, giugno 2018. http://dx.doi.org/10.3768/rtipress.2018.rb.0018.1806.

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Unmanned aircraft systems (UAS), or drones, will disrupt many industries in the next 5 to 10 years. In this research brief, we speculate about how UAS could be used in survey data collection to make survey data more accurate and/or less costly. We put forth three ideas for how UAS can be used to improve surveys in the future to (1) supplement survey data with UAS photo and sensor data; (2) deliver survey hardware to selected respondents, and (3) detect and enumerate housing units for sample selection.

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Bäumler, Maximilian, e Matthias Lehmann. Generating representative test scenarios: The FUSE for Representativity (fuse4rep) process model for collecting and analysing traffic observation data. TU Dresden, 2024. http://dx.doi.org/10.26128/2024.2.

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Scenario-based testing is a pillar of assessing the effectiveness of automated driving systems (ADSs). For data-driven scenario-based testing, representative traffic scenarios need to describe real road traffic situations in compressed form and, as such, cover normal driving along with critical and accident situations originating from different data sources. Nevertheless, in the choice of data sources, a conflict often arises between sample quality and depth of information. Police accident data (PD) covering accident situations, for example, represent a full survey and thus have high sample quality but low depth of information. However, for local video-based traffic observation (VO) data using drones and covering normal driving and critical situations, the opposite is true. Only the fusion of both sources of data using statistical matching can yield a representative, meaningful database able to generate representative test scenarios. For successful fusion, which requires as many relevant, shared features in both data sources as possible, the following question arises: How can VO data be collected by drones and analysed to create the maximum number of relevant, shared features with PD? To answer that question, we used the Find–Unify–Synthesise–Evaluation (FUSE) for Representativity (FUSE4Rep) process model.We applied the first (“Find”) and second (“Unify”) step of this model to VO data and conducted drone-based VOs at two intersections in Dresden, Germany, to verify our results. We observed a three-way and a four-way intersection, both without traffic signals, for more than 27 h, following a fixed sample plan. To generate as many relevant information as possible, the drone pilots collected 122 variables for each observation (which we published in the ListDB Codebook) and the behavioural errors of road users, among other information. Next, we analysed the videos for traffic conflicts, which we classified according to the German accident type catalogue and matched with complementary information collected by the drone pilots. Last, we assessed the crash risk for the detected traffic conflicts using generalised extreme value (GEV) modelling. For example, accident type 211 was predicted as happening 1.3 times per year at the observed four-way intersection. The process ultimately facilitated the preparation of VO data for fusion with PD. The orientation towards traffic conflicts, the matched behavioural errors and the estimated GEV allowed creating accident-relevant scenarios. Thus, the model applied to VO data marks an important step towards realising a representative test scenario database and, in turn, safe ADSs.

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