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Journal articles on the topic 'Drone photogrammetry'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

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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Park, J. W., H. H. Jeong, J. S. Kim, and C. U. Choi. "Development of Open source-based automatic shooting and processing UAV imagery for Orthoimage Using Smart Camera UAV." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 22, 2016): 941–44. http://dx.doi.org/10.5194/isprs-archives-xli-b7-941-2016.

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Recently, aerial photography with unmanned aerial vehicle (UAV) system uses UAV and remote controls through connections of ground control system using bandwidth of about 430 MHz radio Frequency (RF) modem. However, as mentioned earlier, existing method of using RF modem has limitations in long distance communication. The Smart Camera equipments’s LTE (long-term evolution), Bluetooth, and Wi-Fi to implement UAV that uses developed UAV communication module system carried out the close aerial photogrammetry with the automatic shooting. Automatic shooting system is an image capturing device for th

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Park, J. W., H. H. Jeong, J. S. Kim, and C. U. Choi. "Development of Open source-based automatic shooting and processing UAV imagery for Orthoimage Using Smart Camera UAV." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 22, 2016): 941–44. http://dx.doi.org/10.5194/isprsarchives-xli-b7-941-2016.

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Recently, aerial photography with unmanned aerial vehicle (UAV) system uses UAV and remote controls through connections of ground control system using bandwidth of about 430 MHz radio Frequency (RF) modem. However, as mentioned earlier, existing method of using RF modem has limitations in long distance communication. The Smart Camera equipments’s LTE (long-term evolution), Bluetooth, and Wi-Fi to implement UAV that uses developed UAV communication module system carried out the close aerial photogrammetry with the automatic shooting. Automatic shooting system is an image capturing device for th

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Park, DongSoon. "Post-Earthquake Reconnaissance of a Dam with Stabilizing Fill using Drone Photogrammetry." Journal of the Korean Society of Hazard Mitigation 23, no. 5 (2023): 103–14. http://dx.doi.org/10.9798/kosham.2023.23.5.103.

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Post-earthquake reconnaissance is an important process for assessing the safety of massive structures. Dams are critical structures that require evaluation following an earthquake, as dam failure can lead to significant damage to the surrounding area. This paper presents drone (unmanned aerial vehicle) photogrammetry-based reconnaissance of the Angat Dam (Philippines), which has stabilizing fill, following the M 6.1 Luzon earthquake in April 2019. The author presents the results of visual inspection, drone digital mapping, and seismically induced deformation monitoring, as well as a general in

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Hwang, Seonghyeon, Taesam Lee, Dongwon Ahn, and Sejeong Lee. "Accuracy Analysis of Real-Time Kinematic Drones as a Replacement for GPS Bases in River Surveying." Journal of the Korean Society of Hazard Mitigation 24, no. 4 (2024): 11–17. http://dx.doi.org/10.9798/kosham.2024.24.4.11.

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Global climate anomalies have extensively affected rivers and reservoirs, increasing the importance of accurate river surveying for effective river construction and management. While conventional leveling methods are commonly used for river surveying, GPS technology with Global Navigation Satellite System (GNSS) receivers is also performed. In addition to GPS, unmanned aerial vehicle (UAV)-based aerial photogrammetry has recently been adopted for surveying. Precise river surveying using UAV aerial photogrammetry can be achieved by establishing the base near the river using GPS from the referen

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Song, Jiamin, Shigui Du, Rui Yong, Changshuo Wang, and Pengju An. "Drone Photogrammetry for Accurate and Efficient Rock Joint Roughness Assessment on Steep and Inaccessible Slopes." Remote Sensing 15, no. 19 (2023): 4880. http://dx.doi.org/10.3390/rs15194880.

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The roughness of rock joints exerts a substantial influence on the mechanical behavior of rock masses. In order to identify potential failure mechanisms and to design effective protection measures, the accurate measurement of joint roughness is essential. Traditional methods, such as contact profilometry, laser scanning, and close-range photogrammetry, encounter difficulties when assessing steep and inaccessible slopes, thus hindering the safety and precision of data collection. This study aims to assess the feasibility of utilizing drone photogrammetry to quantify the roughness of rock joints

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Braslavska, Oksana, Tetiana Dets, and Tomas Rozhi. "THE ROLE OF GEODESY IN THE DEVELOPMENT OF DRONE TECHNOLOGIES FOR MEASURING, MAPPING AND MONITORING TERRITORIES." Spatial development, no. 5 (November 24, 2023): 268–85. http://dx.doi.org/10.32347/2786-7269.2023.5.268-285.

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This study examines the relevance and importance of integrating geodetic methods into remote sensing technology from drones. The main focus is on exploring the possibilities of drones as an innovative tool that opens up new perspectives for measuring, mapping and monitoring territories. Advanced geodetic technologies and their applications in drone work are analyzed, including photogrammetry, laser scanning, and other data collection methods. The purpose of the article. Defining and systematizing the role of geodesy in the advancement of drone technologies used for precise measurements, mappin

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Alnando, Nicolas, Martinus Edwin Tjahjadi, and Ketut Tomy Suhari. "Komparasi Model 3D Jembatan dari Pemotretan Konvergen dan Normal Menggunakan Drone." Jambura Geoscience Review 4, no. 2 (2022): 123–35. http://dx.doi.org/10.34312/jgeosrev.v4i2.13437.

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CRP (Close Range Photogrammetry) is a measurement technique that can extract 3D points from an image. This study aims to compare convergent, normal, and combined shooting using drones with close-range photogrammetry methods. In the CRP technique, shooting is carried out using the DJI Phantom 4 Pro Drone with convergent and normal shooting techniques and a combination of both shots. Convergent shooting is done by positioning the drone centered on one point by forming a cone against the bridge object with an angle ranging from 40-90 degrees. While shooting normally is done by positioning the dro

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Barichello, Alexandre, Matheus Oliveira Rocha, Hugo Manoel de Souza, Igor Vinícius dos Santos Araújo, and Daniel Noe Coaguila Nuñez. "Application of drone to aid in the evaluation of trials in cotton cultivation (Gossypium hirsutum L.) Malvaceae f." Brazilian Journal of Science 3, no. 3 (2024): 25–33. http://dx.doi.org/10.14295/bjs.v3i3.515.

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The use of drones to evaluate crops has become increasingly common. Among these uses, the drone helps in the cultivation of cotton a crop that is highly prone to intense attacks by pests and diseases. This study aimed to evaluate the use of drones in evaluating trials in cotton cultivation in the Southwest of Goiás, Brazil. A Phantom 4 Pro drone was used to carry out the mapping and WebODM was used to carry out photogrammetry and obtain the ExG vegetation index. ExG proved to be efficient in detecting differences between blocks. The use of drones provided a series of benefits in the assessment

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Stanojković, Vujadin, Saša Bakrač, Dejan Đorđević, and Valentina Radonjić. "Processing of data collected by unmanned aerial photogrammetry systems." Tehnika 77, no. 6 (2022): 683–89. http://dx.doi.org/10.5937/tehnika2206683s.

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The paper describes the method of application of the platform for processing and managing spatial data collected by drones, as unmanned aerial photogrammetry systems. Software support for data processing and management, as well as model generation for photogrammetry purposes, is provided using the Agisoft Metashape software as an example. The data used for processing is related to the recording of the primary military standard for large lengths and angles, which is located in Kovin. The filming was carried out by a WingtraOne drone. The results of the work confirm the quality of the collected-

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Ghannami, Mohamed Ali, Sylvie Daniel, Guillaume Sicot, and Isabelle Quidu. "A Likelihood-Based Triangulation Method for Uncertainties in Through-Water Depth Mapping." Remote Sensing 16, no. 21 (2024): 4098. http://dx.doi.org/10.3390/rs16214098.

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Coastal environments, which are crucial for economic and strategic reasons, heavily rely on accurate bathymetry for safe navigation and resource monitoring. Recent advancements in through-water photogrammetry have shown promise in mapping shallow waters efficiently. However, robust uncertainty modeling methods for these techniques, especially in challenging coastal environments, are lacking. This study introduces a novel likelihood-based approach for through-water photogrammetry, focusing on uncertainties associated with camera pose—a key factor affecting depth mapping accuracy. Our methodolog

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Gonizzi Barsanti, Sara, Gaetano Crispino, Silvia Bertacchi, Pasquale Contestabile, and Adriana Rossi. "Through-Time Models for the Protection and Conservation of Port Areas: From 2D Data to 4D Analysis." Drones 9, no. 4 (2025): 227. https://doi.org/10.3390/drones9040227.

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Three-dimensional survey is a key technology for documenting, monitoring, and analysing artifacts, buildings, and areas. Photogrammetry from drones makes it possible to survey and monitor impervious areas and, thanks to their manoeuvrability and reduced cost compared to airplane flights, to acquire data over time with regular missions, allowing constant monitoring. This paper presents a project to monitor a pier in a port area of the city of Naples that has undergone changes in shape over the years due to heavy storm surges. The project aims to create an accurate 4D database that will allow in

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Valencia, Jorge, Ebrahim Emami, Rushikesh Battulwar, et al. "Blasthole Location Detection Using Support Vector Machine and Convolutional Neural Networks on UAV Images and Photogrammetry Models." Electronics 13, no. 7 (2024): 1291. http://dx.doi.org/10.3390/electronics13071291.

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Identifying the as-drilled location of blastholes is crucial for achieving optimal blasting results. This research proposes a novel integrated methodology to control drilling accuracy in open-pit mines. This approach is developed by combining aerial drone images with machine learning techniques. The study investigates the viability of photogrammetry combined with machine learning techniques, particularly Support Vector Machine (SVM) and Convolutional Neural Networks (CNN), for automatically detecting blastholes in photogrammetry representations of blast patterns. To verify the hypothesis that

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Newport, Ben, Tristram C. Hales, Joanna House, Benoit Goossens, and Amaziasizamoria Jumail. "Simplifying drone-based aboveground carbon density measurements to support community forestry." PLOS One 20, no. 4 (2025): e0322099. https://doi.org/10.1371/journal.pone.0322099.

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Community-based forest restoration has the potential to sequester large amounts of atmospheric carbon, avoid forest degradation, and support sustainable development. However, if partnered with international funders, such projects often require robust and transparent aboveground carbon measurements to secure payments, and current monitoring approaches are not necessarily appropriate due to costs, scale, and complexity. The use of consumer-grade drones in combination with open source structure-from-motion photogrammetry may provide a solution. In this study, we tested the suitability of a simpli

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D. P, Dr Mavale, Kamble S.S, Ghuge S.A, Nyaharkar S.N, and Tupe A.A. "Enhancing Research Outcomes through Drone-Generated Imagery and Photogrammetry Software Analysis." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 09 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem24172.

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Drones have gained popularity in numerous fields, including education, where they are employed as valuable tools for enhancing students' knowledge. In particular, the use of drones in land surveying and mapping has revolutionized the industry, replacing manual and time-consuming methods from the 19th century. Unmanned aerial vehicles (UAVs) enable surveyors to cover vast areas easily, even in challenging terrains, while producing high-resolution maps and collecting extensive data efficiently. With the aid of automated software, quality control can be achieved with minimal training. The benefit

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Yang, Bo, Timothy L. Hawthorne, Margot Hessing-Lewis, et al. "Developing an Introductory UAV/Drone Mapping Training Program for Seagrass Monitoring and Research." Drones 4, no. 4 (2020): 70. http://dx.doi.org/10.3390/drones4040070.

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Unoccupied Aerial Vehicles (UAVs), or drone technologies, with their high spatial resolution, temporal flexibility, and ability to repeat photogrammetry, afford a significant advancement in other remote sensing approaches for coastal mapping, habitat monitoring, and environmental management. However, geographical drone mapping and in situ fieldwork often come with a steep learning curve requiring a background in drone operations, Geographic Information Systems (GIS), remote sensing and related analytical techniques. Such a learning curve can be an obstacle for field implementation for research

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Kim, S. S., D. Y. Shin, E. T. Lim, Y. H. Jung, and S. B. Cho. "DISASTER DAMAGE INVESTIGATION USING ARTIFICIAL INTELLIGENCE AND DRONE MAPPING." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 30, 2022): 1109–14. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-1109-2022.

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Abstract. This study aims to testify the applicability of UAV photogrammetry and artificial intelligence (AI) for the management of natural disaster. Recently artificial intelligence is considered as an emerging tool for recognizing disaster events from aerial imagery of drones. In this paper, we present firstly the approach related to use of AI techniques for disaster detecting and identification. Secondly, we suggest small easy-to-use UAV-based investigation procedure for natural disaster damaged area in the phase of disaster recovery in Korea. Finally, we evaluate the mapping accuracy and w

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Dixit, Jitendra, Ashok Kumar Bhardwaj, Saurabh Kumar Gupta, et al. "Potential of Lightweight Drones and Object-Oriented Image Segmentation in Forest Plantation Assessment." Remote Sensing 16, no. 9 (2024): 1554. http://dx.doi.org/10.3390/rs16091554.

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Forests play a vital role in maintaining ecological balance and provide numerous benefits. The monitoring and managing of large-scale forest plantations can be challenging and expensive. In recent years, advancements in remote sensing technologies, such as lightweight drones and object-oriented image analysis, have opened up new possibilities for efficient and accurate forest plantation monitoring. This study aimed to explore the utility of lightweight drones as a cost-effective and accurate method for mapping plantation characteristics in two 50 ha forest plots in the Nayla Range, Jaipur. By

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Pirotti, F., M. Piragnolo, A. Vettore, and A. Guarnieri. "COMPARING ACCURACY OF ULTRA-DENSE LASER SCANNER AND PHOTOGRAMMETRY POINT CLOUDS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2022 (May 30, 2022): 353–59. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2022-353-2022.

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Abstract. Massive point clouds have now become a common product from surveys using passive (photogrammetry) or active (laser scanning) technologies. A common question is what is the difference in terms of accuracy and precision of different technologies and processing options. In this work four ultra-dense point-clouds (PCs) from drone surveys are compared. Two PCs were created from imagery using a photogrammetric workflow, with and without ground control points. The laser scanning PCs were created with two drone flights with Riegl MiniVUX-3 lidar sensor, resulting in a point cloud with ~300 m

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Ioja, Iosif, Valentin Nedeff, and Florin Nedeff. "The Use of Drones in Multispectral Photogrammetry and Thermoscanning –A Review." BULETINUL INSTITUTULUI POLITEHNIC DIN IAȘI. Secția Matematica. Mecanică Teoretică. Fizică 68, no. 4 (2022): 41–56. http://dx.doi.org/10.2478/bipmf-2022-0018.

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Abstract The use of drones in agriculture and building thermoscanning have become two innovative methods in recent years. A drone is a remotely piloted device equipped with video cameras and other advanced technologies that can fly at different heights and collect data and information useful for agriculture and buildings. In agriculture, drones can be used to collect data on crop health, identify areas affected by diseases and pests, monitor irrigation and soil fertility and plan harvests. Building thermal scanning can be used to identify heat loss, identify weaknesses in building structures a

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Palummo, A. "FROM THE ROAD SIGN TO THE MAP: 3D MODELING IN SUPPORT OF THE URBAN AND RURAL ROAD CONDITIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5/W1 (May 12, 2017): 77–80. http://dx.doi.org/10.5194/isprs-archives-xlii-5-w1-77-2017.

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Unmanned Aerial Vehicles (UAV), commonly known as a drone, and an Unmanned Aircraft Systems (UAS) have been spreading on a massive scale during the last few years, especially for civilian use. And this situation can have significant repercussions on the ways and purposes with which we make photogrammetry nowadays. In this brief article we take into account the italian road signs as a case study on which to apply the new potential of photogrammetry realized with the aid of drones. Our main purpose is to achieve a specific method which allows the calculation of centimeter precision measurements

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Bouziani, M., H. Chaaba, and M. Ettarid. "EVALUATION OF 3D BUILDING MODEL USING TERRESTRIAL LASER SCANNING AND DRONE PHOTOGRAMMETRY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W4-2021 (October 7, 2021): 39–42. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w4-2021-39-2021.

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Abstract. The objective of our study is the evaluation of the 3D modeling of buildings and the extraction of structural elements from point clouds obtained using two acquisition techniques (drone and terrestrial laser scanner), as well as the evaluation of the usefulness of their integration. The drone shooting mission was carried using the DJI Phantom 3 Professional and the Sony EXMOR 1/2.3" CMOS RGB camera. For the TLS scanning mission, 9 scanning stations were performed using the FARO Focus S350 laser scanner.To allow the fusion of the two point clouds obtained from drone imagery and TLS, a

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Rex, Patrick T., Kevin J. Abbott, Rebecca E. Prezgay, and Christopher G. Lowe. "The Effects of Depth and Altitude on Image-Based Shark Size Measurements Using UAV Surveillance." Drones 8, no. 10 (2024): 547. http://dx.doi.org/10.3390/drones8100547.

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Drones are an ecological tool used increasingly in shark research over the past decade. Due to their high-resolution camera and GPS systems, they have been used to estimate the sizes of animals using drone-based photogrammetry. Previous studies have used drone altitude to measure the target size accuracy of objects at the surface; however, target depth and its interaction with altitude have not been studied. We used DJI Mavic 3 video (3960 × 2160 pixel) and images (5280 × 3960 pixel) to measure an autonomous underwater vehicle of known size traveling at six progressively deeper depths to asses

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Srivastava, Sanjeev Kumar, Kah Phooi Seng, Li Minn Ang, Anibal ‘Nahuel’ A. Pachas, and Tom Lewis. "Drone-Based Environmental Monitoring and Image Processing Approaches for Resource Estimates of Private Native Forest." Sensors 22, no. 20 (2022): 7872. http://dx.doi.org/10.3390/s22207872.

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This paper investigated the utility of drone-based environmental monitoring to assist with forest inventory in Queensland private native forests (PNF). The research aimed to build capabilities to carry out forest inventory more efficiently without the need to rely on laborious field assessments. The use of drone-derived images and the subsequent application of digital photogrammetry to obtain information about PNFs are underinvestigated in southeast Queensland vegetation types. In this study, we used image processing to separate individual trees and digital photogrammetry to derive a canopy he

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Karimi, Ali, Behrooz Abtahi, and Keivan Kabiri. "Mapping and Estimating Blue Carbon in Mangrove Forests Using Drone and Field-Based Tree Height Data: A Cost-Effective Tool for Conservation and Management." Forests 16, no. 7 (2025): 1196. https://doi.org/10.3390/f16071196.

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Mangrove forests are vital blue carbon (BC) ecosystems that significantly contribute to climate change mitigation through carbon sequestration. Accurate, scalable, and cost-effective methods for estimating carbon stocks in these environments are essential for conservation planning. In this study, we assessed the potential of drones, also known as unmanned aerial vehicles (UAVs), for estimating above-ground biomass (AGB) and BC in Avicennia marina stands by integrating drone-based canopy measurements with field-measured tree heights. Using structure-from-motion (SfM) photogrammetry and a consum

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Trushaj, Aleks, and Blerina Xhelaj. "Modern technologies in archaeology and their application in architectural object restoration." Architectural Studies 10, no. 1 (2024): 79–91. http://dx.doi.org/10.56318/as/1.2024.79.

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The study of modern technologies in archaeology and the restoration of architectural objects is extremely important because of the possibility of using them to preserve cultural heritage, discover new artefacts and improve scientific research methods. The aim of this study was to analyse the possibilities of using modern technologies for the rehabilitation and visualization of cultural heritage. The methods used in the course of the study included photogrammetry, comparative method, and analysis. The results of the study showed the significant potential of modern photogrammetry technologies in

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Muradás Odriozola, Gonzalo, Klaas Pauly, Samuel Oswald, and Dries Raymaekers. "Automating Ground Control Point Detection in Drone Imagery: From Computer Vision to Deep Learning." Remote Sensing 16, no. 5 (2024): 794. http://dx.doi.org/10.3390/rs16050794.

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Drone-based photogrammetry typically requires the task of georeferencing aerial images by detecting the center of Ground Control Points (GCPs) placed in the field. Since this is a very labor-intensive task, it could benefit greatly from automation. In this study, we explore the extent to which traditional computer vision approaches can be generalized to deal with variability in real-world drone data sets and focus on training different residual neural networks (ResNet) to improve generalization. The models were trained to detect single keypoints of fixed-sized image tiles with a historic colle

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Mirzabeigi, Shayan, Ryan Razkenari, and Paul Crovella. "A Review of the Potential of Drone-Based Approaches for Integrated Building Envelope Assessment." Buildings 15, no. 13 (2025): 2230. https://doi.org/10.3390/buildings15132230.

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The urgent need for affordable and scalable building retrofit solutions has intensified due to stringent clean energy targets. Traditional building energy audits, which are essential in assessing energy performance, are often time-consuming and costly because of the extensive field analysis required. There has been a gradual shift towards the public use of drones, which present opportunities for effective remote procedures that could disrupt a variety of built environment disciplines. Drone-based approaches to data collection offer a great opportunity for the analysis and inspection of existin

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Victor, Ayodele Ijaware, Ugochukwu Nzelibe Ifechukwu, and Deji David Micheal. "Accuracy Assessment of Derived Ortho-photo Using Drone-Based Survey." Journal of Environmental Engineering and its Scope 8, no. 2 (2025): 10–28. https://doi.org/10.5281/zenodo.15525589.

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<em>The increasing use of Unmanned Aerial Vehicles (UAVs) equipped with Real-Time Kinematic (RTK) Global Navigation Satellite Systems (GNSS) for generating orthophotos has highlighted the need for comprehensive accuracy assessments. This study assesses the accuracy of orthophotos derived using RTK survey drones and compares them with other remote sensing sources. The research focuses on a selected area of Federal University of Technology Akure (FUTA) in Ondo State, Nigeria, and employs a high-resolution RTK-enabled drone, DJI Phantom 4 RTK, to capture images with optimal image overlap. Ground

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Bouziani, M., M. Amraoui, and S. Kellouch. "COMPARISON ASSESSMENT OF DIGITAL 3D MODELS OBTAINED BY DRONE-BASED LIDAR AND DRONE IMAGERY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W5-2021 (December 23, 2021): 113–18. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w5-2021-113-2021.

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Abstract. The purpose of this study is to assess the potential of drone airborne LiDAR technology in Morocco in comparison with drone photogrammetry. The cost and complexity of the equipment which includes a laser scanner, an inertial measurement unit, a positioning system and a platform are among the causes limiting its use. Furthermore, this study was motivated by the following reasons: (1) Limited number of studies in Morocco on drone-based LiDAR technology applications, (2) Lack of study on the parameters that influence the quality of drone-based LiDAR surveys as well as on the evaluation

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Hamilton, Scott. "Drone Mapping and Photogrammetry at Brandon House 4." Historical Archaeology 51, no. 4 (2017): 563–75. http://dx.doi.org/10.1007/s41636-017-0069-4.

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Alkhalil, Omar. "Assessment of Factors Affecting the Use of Drones in Map Production." Advances in Environmental and Engineering Research 3, no. 3 (2022): 1. http://dx.doi.org/10.21926/aeer.2203029.

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Multi-rotor and fixed-wing drones are extensively used to collect the data needed for producing large-scale topographic maps and plans. Several types of drone products are available, and the most important one for surveyors is an orthophoto. Flight planning, the quality of the control data, the assessment of drone products, and the image processing software need to be considered when using thes e drones. In this study, we explained these concepts and discussed their theoretical and practical importance in providing standards and tools that might help drone users, surveyors, and others, in obta

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Zhu, Zheng, Tengfei Bao, Yuhan Hu, and Jian Gong. "A Novel Method for Fast Positioning of Non-Standardized Ground Control Points in Drone Images." Remote Sensing 13, no. 15 (2021): 2849. http://dx.doi.org/10.3390/rs13152849.

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Positioning the pixels of ground control points (GCPs) in drone images is an issue of great concern in the field of drone photogrammetry. The current mainstream automatic approaches are based on standardized markers, such as circular coded targets and point coded targets. There is no denying that introducing standardized markers improves the efficiency of positioning GCP pixels. However, the low flexibility leads to some drawbacks, such as the heavy logistical input in placing and maintaining GCP markers. Especially as drone photogrammetry steps into the era of large scenes, the logistical inp

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Alsayed, Ahmad, and Mostafa R. A. Nabawy. "Stockpile Volume Estimation in Open and Confined Environments: A Review." Drones 7, no. 8 (2023): 537. http://dx.doi.org/10.3390/drones7080537.

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This paper offers a comprehensive review of traditional and advanced stockpile volume-estimation techniques employed within both outdoor and indoor confined spaces, whether that be a terrestrial- or an aerial-based technique. Traditional methods, such as manual measurement and satellite imagery, exhibit limitations in handling irregular or constantly changing stockpiles. On the other hand, more advanced techniques, such as global navigation satellite system (GNSS), terrestrial laser scanning (TLS), drone photogrammetry, and airborne light detection and ranging (LiDAR), have emerged to address

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Honarmand, Mehdi, and Hadi Shahriari. "Geological Mapping Using Drone-Based Photogrammetry: An Application for Exploration of Vein-Type Cu Mineralization." Minerals 11, no. 6 (2021): 585. http://dx.doi.org/10.3390/min11060585.

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In this research, drone-based photogrammetry was utilized for mapping geology with the objective of mineral exploration in the Shahzadeh Abbas Cu deposit, Kerman province, Iran. Cu mineralization is of vein-type and follows geological structures. A low-cost drone was used to collect geological data. A spatial resolution of 3.26 cm was achieved by considering a flight altitude of 70 m. To reach the accuracy of less than 5 cm, 70% lateral and 80% front image overlaps were applied and 220 temporary ground control points (TGCPs) were used in an area of 2.02 km2. TGCPs were accurately positioned us

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Masiero, A., G. Sofia, and P. Tarolli. "QUICK 3D WITH UAV AND TOF CAMERA FOR GEOMORPHOMETRIC ASSESSMENT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 259–64. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-259-2020.

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Abstract. Most of the high resolution topographic models are currently obtained either by means of Light Detection and Ranging (LiDAR) or photogrammetry: the former is usually preferred for producing very accurate models, whereas the latter is much more frequently used in low cost applications. In particular, the availability of more affordable Unmanned Aerial Vehicles (UAVs) equipped with high resolution cameras led to a dramatic worldwide increase of UAV photogrammetry-based 3D reconstructions. Nevertheless, accurate high resolution photogrammetric reconstructions typically require quite lon

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Cunliffe, Andrew M., George Tanski, Boris Radosavljevic, et al. "Rapid retreat of permafrost coastline observed with aerial drone photogrammetry." Cryosphere 13, no. 5 (2019): 1513–28. http://dx.doi.org/10.5194/tc-13-1513-2019.

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Abstract. Permafrost landscapes are changing around the Arctic in response to climate warming, with coastal erosion being one of the most prominent and hazardous features. Using drone platforms, satellite images, and historic aerial photographs, we observed the rapid retreat of a permafrost coastline on Qikiqtaruk – Herschel Island, Yukon Territory, in the Canadian Beaufort Sea. This coastline is adjacent to a gravel spit accommodating several culturally significant sites and is the logistical base for the Qikiqtaruk – Herschel Island Territorial Park operations. In this study we sought to (i)

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Yordanov, V., A. Mostafavi, and M. Scaioni. "DISTANCE-TRAINING FOR IMAGE-BASED 3D MODELLING OF ARCHEOLOGICAL SITES IN REMOTE REGIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W11 (May 5, 2019): 1165–72. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w11-1165-2019.

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<p><strong>Abstract.</strong> The impressive success of Structure-from-Motion Photogrammetry (SfM) has spread out the application of image-based 3D reconstruction to a larger community. In the field of Archeological Heritage documentation, this has opened the possibility of training local people to accomplish photogrammetric data acquisition in those remote regions where the organization of 3D surveying missions from outside may be difficult, costly or even impossible. On one side, SfM along with low-cost cameras makes this solution viable. On the other, the achievement of hi

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Saputra, Rizky, and Umboro Lasminto. "Utilization of Drone Mapping (Photogrammetry) Application to Evaluate the Volume of Inundation Area at Margatiga Dam." Journal of Social Research 2, no. 7 (2023): 2463–77. http://dx.doi.org/10.55324/josr.v2i7.1047.

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In 2017 the planned volume of the Margatiga Dam inundation area at an elevation of +23,000 is 42,311,835.60 m3. Using the drone mapping method (photogrammetry) there is a difference in the volume of the puddle area at an elevation of +23,000 with a result of 41,005,959.97 m3. The method used to evaluate the volume of the inundation area at the Margatiga Dam is taking field data using drones in the form of aerial photography, testing the accuracy of GCP (Ground Control Point) geometry and calculating volume using Autodesk Civil 3D software. The volume was obtained after going through an accurac

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Adami, A., L. Fregonese, M. Gallo, J. Helder, M. Pepe, and D. Treccani. "ULTRA LIGHT UAV SYSTEMS FOR THE METRICAL DOCUMENTATION OF CULTURAL HERITAGE: APPLICATIONS FOR ARCHITECTURE AND ARCHAEOLOGY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W17 (November 29, 2019): 15–21. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w17-15-2019.

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Abstract. The Italian legislation on Remote Pilot Aircraft Systems (SAPR: Sistema Areomobile a Pilotaggio Remoto), as in 2012, regulates the use of drones in controlled and uncontrolled airspace. In 2016, the regulation introduced simplified procedures for the use of ultra-light drones. These instruments are particularly widespread in the field of Cultural Heritage survey. In fact, according to the Italian regulations currently in force it is possible to pilot a drone of less than 300 grams without the need of a flight license and without a specific training course and medical examination and

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Gonnade, Priyanka. "EXPLORATION OF GEOLOGICAL AREAS USING DRONE SIMULATION." International Journal of Engineering Applied Sciences and Technology 8, no. 2 (2023): 270–73. http://dx.doi.org/10.33564/ijeast.2023.v08i02.040.

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Flight Planning and Modeling is a modelling methodology that can be used for the purpose of exploration of geological areas. It helps to understand the details of sedimentation rocks, foreland basins, changes in sea – level, aquifer, elevated areas, country rock, crest etc. In this system we have concentrated on stratigraphic creation of landscape of elevated areas. The flight planning and modeling view that gets generated through various resources is not very precise with respect to the 3D modelling. The View lags certain area depth, elevation and resolution. The Stratigraphic view of landsca

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