Relevant bibliographies by topics / Drone photogrammetry

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Drone photogrammetry'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Drone photogrammetry"

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Kim, Doo-Pyo, Sung-Bo Kim, and Ki-Suk Back. "Analysis of Mine Change Using 3D Spatial Information Based on Drone Image." Sustainability 14, no. 6 (2022): 3433. http://dx.doi.org/10.3390/su14063433.

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Mine development requires continuous management because it causes rapid topographic changes and environmental damage. Drones can be used to produce three-dimensional spatial information by quickly and accurately photographing areas that are difficult or dangerous for humans to approach. In this study, we investigated the possibility of using drone photogrammetry for determining changes and recovery in mines. The accuracy of the drone photogrammetry results was analyzed using checkpoints, and the earthwork volume was calculated and compared with that obtained through a field survey. We determin
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Baeck, P. J., N. Lewyckyj, B. Beusen, W. Horsten, and K. Pauly. "DRONE BASED NEAR REAL-TIME HUMAN DETECTION WITH GEOGRAPHIC LOCALIZATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W8 (August 20, 2019): 49–53. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w8-49-2019.

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<p><strong>Abstract.</strong> Detection of humans, e.g. for search and rescue operations has been enabled by the availability of compact, easy to use cameras and drones. On the other hand, aerial photogrammetry techniques for inspection applications allow for precise geographic localization and the generation of an overview orthomosaic and 3D terrain model. The proposed solution is based on nadir drone imagery and combines both deep learning and photogrammetric algorithms to detect people and position them with geographical coordinates on an overview orthomosaic and 3D terrai
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Hinge, L., J. Gundorph, U. Ujang, S. Azri, F. Anton, and A. Abdul Rahman. "COMPARATIVE ANALYSIS OF 3D PHOTOGRAMMETRY MODELING SOFTWARE PACKAGES FOR DRONES SURVEY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W12 (February 21, 2019): 95–100. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w12-95-2019.

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<p><strong>Abstract.</strong> Drones are becoming popular in spatial mapping or survey. The use of drones survey can be seen from it low flying heights (capable to create a clear images), accessible on difficult or non-friendly vehicle access areas, faster data acquisition and higher data resolution henceforth improve the quality of the survey. However, this paper focuses on the post-processing of drone images for 3D surface modeling. With the motivation of producing better 3D models, four software packages are used for comparison. Those software packages are eyesMap3D, Drone
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Anurogo, Wenang, Muhammad Zainuddin Lubis, Hanah Khoirunnisa, et al. "A Simple Aerial Photogrammetric Mapping System Overview and Image Acquisition Using Unmanned Aerial Vehicles (UAVs)." Journal of Applied Geospatial Information 1, no. 01 (2017): 11–18. http://dx.doi.org/10.30871/jagi.v1i01.360.

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Aerial photogrammetry is one of the Alternative technologies for more detailed data, real time, fast and cheaper. Nowadays, many photogrammetric mapping methods have used UAV / unmanned drones or drones to retrieve and record data from an object in the earth. The application of drones in the field of geospatial science today is in great demand because of its relatively easy operation and relatively affordable cost compared to satellite systems especially high - resolution satellite imagery. This research aims to determine the stage or overview of data retrieval process with DJI Phantom 4 (mult
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Marzaki, Ismail, Asep Adang Supriyadi, and Syachrul Arief. "Leveraging drone technology for advancements in photogrammetry, remote sensing, and military intelligence: a review." Remote Sensing Technology in Defense and Environment 1, no. 1 (2024): 1–9. http://dx.doi.org/10.61511/rstde.v1i1.2024.840.

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Background: In the modern technological era, drones have become one of the leading innovations in aviation. This study aims to present a comprehensive literature review on the development and application of drone technology in various contexts, including remote sensing, photogrammetry, military, and intelligence. Methods: A literature review was used to collect, evaluate, and analyse relevant literature from various sources, such as scientific journals, conferences, and reference books. This literature review identifies the development of drone technology from its initial form to their more so
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Klehm, Carla, Malcolm D. Williamson, Leland C. Bement, and Brandi Bethke. "Remote, Rugged Field Scenarios for Archaeology and the Field Sciences: Object Avoidance and 3D Flight Planning with sUAS Photogrammetry." Remote Sensing 16, no. 8 (2024): 1418. http://dx.doi.org/10.3390/rs16081418.

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Advances built into recent sUASs (drones) offer a compelling possibility for field-based data collection in logistically challenging and GPS-denied environments. sUASs-based photogrammetry generates 3D models of features and landscapes, used extensively in archaeology as well as other field sciences. Until recently, navigation has been limited by the expertise of the pilot, as objects, like trees, and vertical or complex environments, such as cliffs, create significant risks to successful documentation. This article assesses sUASs’ capability for autonomous obstacle avoidance and 3D flight pla
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Fathurrahman, Muhammad, L. M. Golok Jaya, Fitra Saleh, Fitrani Amin, and Al Amin Siharis. "Studi Penentuan Volume Stockpile Penambangan Bijih Nikel Menggunakan Foto Drone." JAGAT (Jurnal Geografi Aplikasi dan Teknologi) 7, no. 2 (2024): 64. https://doi.org/10.33772/jagat.v7i2.44232.

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UAV drones can yield differences in volume compared to the actual volume in stockpile volume calculations when compared to measurements obtained using a Total Station. The measurement method using drone photos can streamline labor compared to Total Station utilities, with both utilizing processed data in the form of point clouds. This research aims to: (1) Determine nickel stockpile volumes using drone photos; (2) Compare volume between drone photos and Total Station. Parameters encompass flight height, drone speed, overlap, and camera angle. Stockpile volumes are calculated using methods Exte
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Maß, Virginia, Johannes Seidl-Schulz, Matthias Leipnitz, et al. "Development of a Drone-Based Phenotyping System for European Pear Rust (Gymnosporangium sabinae) in Orchards." Agronomy 14, no. 11 (2024): 2643. http://dx.doi.org/10.3390/agronomy14112643.

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Computer vision techniques offer promising tools for disease detection in orchards and can enable effective phenotyping for the selection of resistant cultivars in breeding programmes and research. In this study, a digital phenotyping system for disease detection and monitoring was developed using drones, object detection and photogrammetry, focusing on European pear rust (Gymnosporangium sabinae) as a model pathogen. High-resolution RGB images from ten low-altitude drone flights were collected in 2021, 2022 and 2023. A total of 16,251 annotations of leaves with pear rust symptoms were created
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Cirillo, Daniele, Michelangelo Zappa, Anna Chiara Tangari, Francesco Brozzetti, and Fabio Ietto. "Rockfall Analysis from UAV-Based Photogrammetry and 3D Models of a Cliff Area." Drones 8, no. 1 (2024): 31. http://dx.doi.org/10.3390/drones8010031.

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The application of Unmanned Aerial Vehicles (UAVs), commonly known as drones, in geological, geomorphological, and geotechnical studies has gained significant attention due to their versatility and capability to capture high-resolution data from challenging terrains. This research uses drone-based high-resolution photogrammetry to assess the geomechanical properties and rockfall potential of several rock scarps within a wide area of 50 ha. Traditional methods for evaluating geomechanical parameters on rock scarps involve time-consuming field surveys and measurements, which can be hazardous in
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Bhise, Gaurav Sanjay. "Construction Monitoring and Reporting using Drones and Unmanned Vehicles (UAV’S)." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 5872–84. http://dx.doi.org/10.22214/ijraset.2024.63003.

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Abstract: The application of drones and Unmanned Aerial Vehicles (UAVs) has significantly expanded in fields such as surveying and facility management. Recent technological advancements have made drones and UAVs more efficient and costeffective for use in architectural engineering and construction management. This study proposes a framework for developing a fully automated system for smart construction monitoring and reporting, utilizing real-time data from drones and UAVs. By employing photogrammetry techniques, data from drone images and point clouds (3D scans of construction sites) can be u
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Dissertations / Theses on the topic "Drone photogrammetry"

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Aquilina, Charles Albert. "Estimating Floodplain Vegetative Roughness using Drone-Based Laser Scanning and Structure from Motion Photogrammetry." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/99795.

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We compared high-resolution drone laser scanning (DLS) and structure from motion (SfM) photogrammetry-derived vegetation heights at the Virginia Tech StREAM Lab to determine Manning's roughness coefficient. We utilized two calibrated approaches and a calculated approach to estimate roughness from the two data sets (DLS and SfM), then utilized them in a two-dimensional (2D) hydrodynamic model (HEC-RAS). The calculated approach used plant characteristics to determine vegetative roughness, while the calibrated approaches involved adjusting roughness values until model outputs approached values of
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Aquilina, Charles A. "Estimating Floodplain Vegetative Roughness using Drone-Based Laser Scanning and Structure from Motion Photogrammetry." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99795.

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We compared high-resolution drone laser scanning (DLS) and structure from motion (SfM) photogrammetry-derived vegetation heights at the Virginia Tech StREAM Lab to determine Manning's roughness coefficient. We utilized two calibrated approaches and a calculated approach to estimate roughness from the two data sets (DLS and SfM), then utilized them in a two-dimensional (2D) hydrodynamic model (HEC-RAS). The calculated approach used plant characteristics to determine vegetative roughness, while the calibrated approaches involved adjusting roughness values until model outputs approached values of
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Lisein, Jonathan. "Application des techniques de photogrammétrie par drone à la caractérisation des ressources forestières." Thesis, Paris Est, 2016. http://www.theses.fr/2016PESC1049/document.

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Une gestion raisonnée et multifonctionnelle des forêts n'est possible qu'avec une description à jour de l'état de la ressource naturelle.Les inventaires forestiers traditionnels, réalisés sur le terrain, sont couteux et ne couvrent qu'un échantillonnage de la surface boisée.L'essor des drones civils pour la cartographie a initié une révolution dans le domaine de la télédétection environnementale.La polyvalence et la diversité des systèmes drones sont une aubaine pour la foresterie de précision.Ceux-ci sont utilisé pour la réalisation de cartographie très fine des habitats naturels avec une rés
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Reali, Andrea. "Potentialities of Unmanned Aerial Vehicles in Hydraulic Modelling : Drone remote sensing through photogrammetry for 1D flow numerical modelling." Thesis, KTH, Byggvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234306.

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In civil and environmental engineering numerous are the applications that require prior collection of data on the ground. When it comes to hydraulic modelling, valuable topographic and morphology features of the region are one of the most useful of them, yet often unavailable, expensive or difficult to obtain. In the last few years UAVs entered the scene of remote sensing tools used to deliver such information and their applications connected to various photo-analysis techniques have been tested in specific engineering fields, with promising results. The content of this thesis aims contribute
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Bishop, Richard. "Applications of Close-Range Terrestrial 3D Photogrammetry to Improve Safety in Underground Stone Mines." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/98920.

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The underground limestone mining industry is a small, but growing segment of the U.S. crushed stone industry. However, its fatality rate has been amongst the highest of the mining sector in recent years due to ground control issues related to ground collapses. It is therefore important to improve the engineering design, monitoring and visualization of ground control by utilizing new technologies that can help an underground limestone company maintain a safe and productive operation. Photogrammetry and laser scanning are remote sensing technologies that are useful tools for collecting three
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Hedenström, Linus, and Sebastian Eriksson. "An investigation of detecting potholes with UAV LiDAR and UAV Photogrammetry." Thesis, Högskolan i Gävle, Samhällsbyggnad, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-36836.

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Potholes are caused by erosion and as such always emerging on our roadnetwork. Potholes may not only cause great damages to vehicles, but can alsocause road accidents, which in the worst case are fatal. Today, the detection ofpotholes is usually based on citizen reports or ocular inspection by vehicle,where a loose description of the potholes properties and location can be given.Recent research has explored the possibility of aerial inspection of paved roadswith the new, cost effective, Structure-from-Motion (SfM) technique, whichcan produce 3D point clouds from photogrammetric data. SfM point
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Kašiár, Dominik. "Možnosti uplatnění UAV a podobných zařízení ve stavebnictví." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2020. http://www.nusl.cz/ntk/nusl-409889.

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The diploma thesis deals with the creation of a 3D model using laser scanning by unmanned aircraft (UAV). In the first part the author describes the history, legislation, the possibility of using unmanned aircraft and their dividing. The next section describes the process of creating a 3D model from data collection, using a drone to the actual modeling in Revit and subsequent use of the 3D model.
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Martináková, Veronika. "Vyhodnocení snímků pořízených pomocí UAV." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2018. http://www.nusl.cz/ntk/nusl-390231.

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The master´s thesis deals with the application of unmanned aerial vehicle (UAV) in photogrammetry and mapping. The first part describes the UAV that was used for imaging, legislative restrictions resulting from its operations, planning and realization of the flight. The second part of this thesis is focused on processing results, especially on evaluation the accuracy of the results gained by UAV with and without a GNSS module. The data are evaluated in the 3rd accuracy rating class (ČSN 01 3410). The theoretical principles are explained as well. The main aim of the thesis is to demonstrate the
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Matte, Martin, and Daniel Rangne. "Drones in Civil Engineering Projects : Areas of Application With a Focus On Photogrammetry." Thesis, KTH, Byggteknik och design, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302547.

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Drone technology has changed the way people work in construction and civil engineering activities. The aim of this report is to investigate how drones can and should be used in the best possible way. Autodesk ReCap Photo and Agisoft Metashape Professional are the two photogrammetry software programs that have been compared. The results show that Metashape can create more accurate maps and 3D models, but requires more powerful hardware to operate and takes longer time to learn. ReCap Photo is easier to handle but produces maps and 3D models that are slightly less accurate. Interviews have been
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Verriez, Quentin. "Rationaliser les pratiques numériques en archéologie : l'exemple des chantiers de fouilles de Bibracte." Electronic Thesis or Diss., Bourgogne Franche-Comté, 2023. http://www.theses.fr/2023UBFCH035.

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Cette thèse explore la transition vers une archéologie numérique et ouverte. Elle se penche sur la faisabilité d'une fouille archéologique basée sur des logiciels libres, produisant des données transparentes, structurées et aux formats ouverts. Ces vingt dernières années correspondent en effet à une intensification majeure des usages de technologies numériques en archéologie, impactant la collecte, le traitement, la gestion, la conservation et la diffusion des données. L'approche de la science ouverte offre alors les solutions pour contrôler, exploiter et assurer la conservation de ces nouvell
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Books on the topic "Drone photogrammetry"

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So You Want to Create Maps Using Drones? Blurb, 2015.

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So You Want to Create Maps Using Drones? Blurb, 2015.

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Applications of Small Unmanned Aircraft Systems: Best Practices and Case Studies. Taylor & Francis Group, 2019.

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Applications of Small Unmanned Aircraft Systems: Best Practices and Case Studies. Taylor & Francis Group, 2023.

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Sharma, J. B. Applications of Small Unmanned Aircraft Systems: Best Practices and Case Studies. Taylor & Francis Group, 2019.

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Applications of Small Unmanned Aircraft Systems. Taylor & Francis Group, 2019.

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Goward, Samuel N., Laura E. P. Rocchio, Darrel L. Williams, et al. Landsat’s Enduring Legacy: Pioneering Global Land Observations from Space. ASPRS, 2017. http://dx.doi.org/10.14358/asprs.1.57083.101.7.

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After more than 15 years of research and writing, the Landsat Legacy Project Team, in collaboration with the American Society for Photogrammetry and Remote Sensing (ASPRS), published an account of monitoring the Earth’s lands for a half-century with Landsat. Born of technologies that evolved from the Second World War, Landsat not only pioneered global land monitoring but in the process, drove innovation in digital imaging technologies and encouraged the development of global imagery archives. Access to this imagery led to early breakthroughs in natural resources assessments, particularly for a
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Book chapters on the topic "Drone photogrammetry"

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Salčin, Nino. "Application of Drone Photogrammetry in Hazard Assessment in Međine Municipality." In Regional Symposium on Landslides in the Adriatic-Balkan Region. University of Belgrade, Faculty of Mining ; Geology, 2024. http://dx.doi.org/10.18485/resylab.2024.6.ch14.

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Sammuneh, Muhammad Ali, Alisson Villca Fuentes, Adrien Poupardin, Philippe Sergent, and Jena Jeong. "Low-Cost Global Navigation Satellite System for Drone Photogrammetry Projects." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54376-0_28.

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Ngo, Khanh Hieu, Quang Khoi Tran, Chan Huy Quan, et al. "Photogrammetry-Based Building Scan Using Ultra-Lightweight Drone for Urban Applications." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7434-4_183.

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Odeh, Ibrahim, and Behrouz Shafei. "An Unmanned Aerial Vehicle-Based Digital Twin Framework for Inspection and Assessment of Bridge Structures." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-69626-8_102.

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AbstractThis chapter presents a framework for inspecting and assessing bridge structures utilizing unmanned aerial vehicles (UAVs), photogrammetry software, and artificial intelligence (AI) capabilities. The approach aims to generate precise 3D digital twins of bridges to enable accurate remote inspections and decision-making for maintenance. The framework involves collecting high-resolution image data of bridges using drones. The optimal distance between the drone and the bridge is evaluated to balance the captured details with operational safety. The images are then processed through softwar
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Kokate, P. A., G. L. Sarode, A. K. Raina, and Sagar N. Nimsadkar. "Application of Drone Photogrammetry for Mapping of a Tunnels and Excavation Site." In Sustainable Civil Infrastructures. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82133-2_3.

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Catt, Sean, Benjamin Fick, Matthew Hoskins, Joseph Praski, and Javad Baqersad. "Development of a Semi-autonomous Drone for Structural Health Monitoring of Structures Using Digital Image Correlation (DIC)." In Structural Health Monitoring, Photogrammetry & DIC, Volume 6. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74476-6_7.

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Bilal, Gaou, Idrissi Ayoub, Sara Ait-Lamallam, and Kellouch Souhail. "Good Practices for Accurate 3D Modeling of Low-Contrast Areas Using Drone Photogrammetry." In Studies in Big Data. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83915-3_28.

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Al-Mamari, Mahmood M., Sameh A. Kantoush, and Tetsuya Sumi. "Innovative Monitoring Techniques for Wadi Flash Flood by Using Image-Based Analysis." In Natural Disaster Science and Mitigation Engineering: DPRI reports. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2904-4_9.

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AbstractFlash floods in wadi systems are a very important environmental issue, and their monitoring is necessary for many applications, including water resource management, irrigation and flood control. However, monitoring networks are very rare and lack spatial distribution features. In this study, image-based techniques were used to quantify and monitor flash floods in wadi channels by using two different methods. In the first section, we employed photogrammetry processing technique to quantify post-peak flood discharges by using a drone survey to build a digital elevation model (DEM) with a
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Shu, Ziqi, and Qingfeng Wu. "Adaptive Drone-Based Tilt Photogrammetry and Real-Time 3D Reconstruction for Interactive Digital Scenography." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-9856-1_4.

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Repola, Leopoldo, Justin Leidwanger, Elizabeth Greene, Fabrizio Sgroi, and Vincenzo Morra. "Coastal cultural landscapes of the tonnare of southeast Sicily: analysis and visualization of data." In Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques. Firenze University Press, 2024. https://doi.org/10.36253/979-12-215-0556-6.55.

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The study currently underway along the coasts of south-eastern Sicily, born from the collaboration between the Federico II University, Stanford University, Brock University and the Soprintendenza del Mare della Regione Siciliana, reflects the primary stages of a research methodology focused on the analysis of spaces, both architectural and natural, in relation to the processes of use that have occurred over time. Activities have included an initial phase of 3D digitization using laser scanning, drone Lidar, and terrestrial and underwater photogrammetry of the tonnare of Capo Passero, Marzamemi
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Conference papers on the topic "Drone photogrammetry"

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Zhao, Huiji, Yanchao Han, Xiangwei Zhao, Kaihong Li, Hao Qiao, and Yuqing Xu. "Strip-mining monitoring system development based on drone tilt photogrammetry." In International Conference on Remote Sensing Technology and Image Processing (RSTIP 2024), edited by Nilanchal Patel and Johan Debayle. SPIE, 2025. https://doi.org/10.1117/12.3065374.

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Kalinkov, Kalin, and Alexander Jiponov. "Capturing Images for Photogrammetry of Concrete and Masonry Arch Bridges." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.2419.

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<p>This study investigates drone-based photogrammetry for documenting concrete and masonry arch bridges, focusing on optimizing data acquisition and addressing challenges such as vegetation obstructions, lighting variability, and complex geometries. Fieldwork in Bulgaria highlights efficient workflows using UAVs with advanced cameras and gimbals, as well as the potential of Neural Radiance Fields (NeRF) for enhancing 3D reconstructions. The findings provide actionable insights for remote assessments, historical comparisons, and lifecycle management of bridges. Future research will explor
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Sindayihebura, A., S. Ottoy, M. Sendegeya, et al. "Monitoring Land Degradation Using Drone Photogrammetry for the Mugoboka (Eastern Bujumbura, Burundi) Case Study." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641664.

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Snehith, Sirpa Sai, Komati Srikanth, Nallapothula Anil, et al. "Revolutionizing Spatial Data Collection: The Advancements and Applications of 3D Mapping with Drone Technology (Photogrammetry)." In 2023 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM). IEEE, 2023. http://dx.doi.org/10.1109/ccem60455.2023.00045.

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Kysel, Peter, Lubica Hudecova, and Hana Vesteg. "UPDATING OF THE CADASTRAL MAP USING UNMANNED AERIAL VEHICLES IN SLOVAKIA." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/2.1/s10.36.

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A functioning land management is one of the key attributes of the successful management of a country. The cadastre of the real estate is one of the most important land management systems. However, for the successful management of land, the cadastre needs to be filled with complete and high-quality data. In Slovak Republic, the problem of the quality of cadastral data have been a long-discussed topic. One of the biggest quality issues of the cadastre is its map collection. Some of the maps in the cadastral map collection can originate up to the second half of the 19th century. The renewal of th
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Malhotra, Aman, and Ulrik Soderstrom. "Fixed camera drone based photogrammetry for indoor mapping." In 2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON). IEEE, 2022. http://dx.doi.org/10.1109/upcon56432.2022.9986428.

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Tsvetkov, Miroslav, and Nikola Dukov. "From drone photogrammetry to 3D printed object model." In Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), edited by Kyriacos Themistocleous, Silas Michaelides, Diofantos G. Hadjimitsis, and Giorgos Papadavid. SPIE, 2023. http://dx.doi.org/10.1117/12.2681189.

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Smith, N. "Digital outcrop visualization and low-altitude drone photogrammetry." In Second EAGE Workshop on Unmanned Aerial Vehicles. European Association of Geoscientists & Engineers, 2021. http://dx.doi.org/10.3997/2214-4609.2021629008.

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Menegoni, N., A. Greenwood, and G. Hetényi. "Fracture Network Analysis of the Balmuccia Peridotite by Drone-Based Photogrammetry." In NSG2022 3rd Conference on Airborne, Drone and Robotic Geophysics. European Association of Geoscientists & Engineers, 2022. http://dx.doi.org/10.3997/2214-4609.202220052.

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10

Benfield, S., M. Gutierrez, and W. Zhou. "Failure Surface Identification and Structural Domain Segregation Using Drone-Based Structure from Motion Photogrammetry." In 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0395.

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Abstract:
ABSTRACT An emerging topic in the geotechnical site characterization is the use of drones for rock mass characterization through Structure from Motion (SfM) photogrammetry. This study highlights a series of surveys utilizing a DJI Mavic II drone performed between July and August 2022 at an abandoned quarry in Clear Creek Canyon Park, located 0.25 miles west of Golden, Colorado. The purpose of these surveys was for failure surface identification of a historic wedge failure and structural domain segregation of the remaining rock slope. The study site is composed of a heavily jointed interlayered
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