Article
Geochemistry & Geophysics
Jianchen Liu, Wei Xu, Bingxuan Guo, Gang Zhou, Hongchun Zhu
Summary: Unmanned aerial vehicle (UAV) photogrammetry without ground control points (GCPs) can improve production efficiency and reduce costs, but faces challenges such as inaccurate camera parameters and the impact of map projection deformation and earth curvature on elevation accuracy. This article proposes solutions such as self-calibration in a geocentric frame and calculation of exterior orientation elements in a map projection frame to achieve significantly improved elevation accuracy in mapping tasks.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Daniele Pinton, Alberto Canestrelli, Benjamin Wilkinson, Peter Ifju, Andrew Ortega
Summary: This study evaluates the skills of two types of drone-based point clouds, derived from LiDAR and photogrammetric techniques, in estimating ground elevation and vegetation characteristics on a salt marsh. Results show that LiDAR-based techniques provide more accurate reconstructions compared to Digital Aerial Photogrammetry (DAP). The classification procedure for vegetation calculation negligibly improves when RGB images are used as input parameters with the LiDAR-UAV point cloud.
Article
Environmental Sciences
Szymon Sledz, Marek W. Ewertowski
Summary: This study identifies three different processing workflows for efficiently processing image sets in the context of earth surface dynamics studies. The workflows were determined through testing 375 variations of setup parameters in the Agisoft Metashape software.
Article
Environmental Sciences
Xugang Lian, Xiaoyu Liu, Linlin Ge, Haifeng Hu, Zheyuan Du, Yanru Wu
Summary: This study proposed a method for coal mining subsidence monitoring in mountainous areas based on time-series UAV photogrammetry technology. The ATIN algorithm was used to filter the overall point cloud data in the study area to obtain the digital elevation model (DEM). The surface dynamic subsidence basin was determined through two phases of DEM subtraction.
JOURNAL OF APPLIED REMOTE SENSING
(2021)
Article
Environmental Sciences
Yajie Liu, Kevin Han, William Rasdorf
Summary: This paper evaluates the significance levels of five influence factors on UAS-based photogrammetry accuracy and investigates their interactions using multiple regression. It also develops prediction models for horizontal and vertical accuracies. The findings of this study can guide surveyors in designing flight configurations for high accuracies and provide reasonable predictions for different flight configurations.
Article
Engineering, Electrical & Electronic
Linghao Kong, Ting Chen, Taibo Kang, Qing Chen, Di Zhang
Summary: With the rapid development of UAV technology and photogrammetric software, marking GCPs in UAV surveys still requires manual work, leading to inefficiency and human error. A novel circular coded target and its decoding algorithm are proposed to automate and accurately mark GCPs in UAV photogrammetry. Experiments validate the feasibility and advantages of the proposed method in terms of efficiency, robustness, and accuracy over traditional targets. The effects of projection size, viewing angle, coded bits, and environmental conditions on the method were also investigated.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Engineering, Electrical & Electronic
Qingquan Li, Hui Huang, Wenshuai Yu, San Jiang
Summary: Unmanned aerial vehicles have become widely used in remote sensing and are critical in the construction of smart cities. However, urban environments pose challenges for secure and accurate data acquisition for 3D modeling. This study presents optimized views photogrammetry as a solution and verifies its precision and potential in large-scale 3D modeling.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Green & Sustainable Science & Technology
Patricia Arranz, Fredrik Christiansen, Maria Glarou, Shane Gero, Fleur Visser, Machiel G. Oudejans, Natacha Aguilar de Soto, Kate Sprogis
Summary: This study examined the body shape, allometric relationships, and body condition of short-finned pilot whales in the North Atlantic. The researchers used unmanned aerial vehicles to measure the body length, width, and height of the whales. They found that there was no difference in body condition among reproductive classes or locations.
Article
Geochemistry & Geophysics
Carlos Cabo, Enoc Sanz-Ablanedo, Javier Roca-Pardinas, Celestino Ordonez
Summary: This study analyzed the relationship between the number and spatial distribution of GCPs and the accuracy of UAV-generated DEMs. It found that the number of GCPs has the greatest influence on vertical accuracy, while other variables such as mean distance between CPs had less impact on explaining errors.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Engineering, Multidisciplinary
Ismail Elkhrachy
Summary: This study aimed to produce accurate geospatial 3D data from UAV images. The solution generated met the 2015 ASPRS accuracy standards, with horizontal RMSE values of 4-6 cm and vertical accuracy of 5-6 cm, which were twice and three times the Ground Sample Distance (GSD), respectively.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Carlos Alberto Villarreal, Carlos Guillermo Garzon, Jose Pedro Mora, Julian David Rojas, Carlos Alberto Rios
Summary: This paper presents a methodological approach for capturing difficult-to-access geological outcrops using unmanned aerial vehicle-based digital photogrammetric data. The obtained data can be used for geomodelling of mineral deposits and oil and gas geological structures.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2022)
Article
Forestry
Facundo Pessacg, Francisco Gomez-Fernandez, Matias Nitsche, Nicolas Chamo, Sebastian Torrella, Ruben Ginzburg, Pablo De Cristoforis
Summary: Forestry aerial photogrammetry using Unmanned Aerial Systems (UAS) helps bridge the gap between detailed fieldwork and broad-range satellite imagery-based analysis. However, optical sensors face limitations in collecting and classifying ground points in woodlands. This study proposes a novel method to generate accurate Digital Terrain Models (DTMs) in forested environments and develops a realistic simulator for controlled experimentation.
Article
Environmental Sciences
Tarik Turk, Nursu Tunalioglu, Bahattin Erdogan, Taylan Ocalan, Mert Gurturk
Summary: The use of unmanned aerial vehicles (UAV) in photogrammetric mapping/surveying facilities has increased recently. The aim of this study was to assess the accuracy of a UAV-based post-processing kinematic (PPK) solution. The results show that UAV-PPK method can be used to produce photogrammetric products where high accuracy is required.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2022)
Article
Telecommunications
N. H. Ranchagoda, K. Sithamparanathan, M. Ding, A. Al-Hourani, K. M. Gomez
Summary: This paper proposes an Elevation Angle (EA) based two-ray mean path loss model for Air-to-Ground (A2G) channels, which accurately characterizes the path loss of A2G channels. The study investigates different altitudes, terrains, and polarizations, showing that the proposed EA-based two-ray model matches well with the ray-tracing simulation results. Furthermore, a comparison with other known path loss models is conducted, revealing an interesting relationship between the elevation angle and signal down-fades.
VEHICULAR COMMUNICATIONS
(2021)
Article
Ecology
Yousef Erfanifard, Bartlomiej Kraszewski, Krzysztof Sterenczak
Summary: The study investigated intra- and interspecific interactions in plant communities in semi-arid regions using UAV photogrammetric data, and found that competition among species had a significant impact on growth inhibition. The study demonstrated the efficiency of UAV photogrammetric data in identifying plant individuals and predicting crown area, and highlighted the potential of remote sensing in spatial ecology of vegetation patches in semi-arid environments.
Editorial Material
Environmental Sciences
Fernando Carvajal-Ramirez, Francisco Aguera-Vega, Patricio Martinez-Carricondo
Article
Environmental Sciences
Francisco Aguera-Vega, Ezequiel Ferrer-Gonzalez, Fernando Carvajal-Ramirez, Patricio Martinez-Carricondo, Paolo Rossi, Francesco Mancini
Summary: This study evaluates the influence of image angle, overlaps, and flight type on the accuracy of dense 3D point clouds generated by UAV-SfM in terrains with complex geometry and steep slopes. The results suggest that utilizing off-nadir imagery, specific overlaps, and flight at a fixed height above ground level can lead to optimal accuracy and precision in UAV-SfM.
GEOCARTO INTERNATIONAL
(2022)
Article
Forestry
Patricio Martinez-Carricondo, Fernando Carvajal-Ramirez, Francisco Aguera-Vega
Summary: Monitoring the regeneration process of a forest is crucial for forestry management. Using UAVs and integrating multispectral cameras with other sensors can save time and costs, enabling the identification of different tree species through data registration and segmentation processes.
SCANDINAVIAN JOURNAL OF FOREST RESEARCH
(2022)
Article
Environmental Sciences
Patricio Martinez-Carricondo, Francisco Aguera-Vega, Fernando Carvajal-Ramirez
Summary: Unmanned aerial vehicles equipped with GNSS RTK receivers can georeference photogrammetric projects directly without using ground control points. Using multiple GNSS base stations and averaging their corrections can improve the altimetric accuracy, but does not significantly improve planimetric accuracy.
GEOCARTO INTERNATIONAL
(2023)
Article
Computer Science, Information Systems
Luis O. Lopez, Gloria Ortega, Francisco Aguera-Vega, Fernando Carvajal-Ramirez, Patricio Martinez-Carricondo, Ester M. Garzon
Summary: A new methodology for improving herbicide assessment efficiency is presented, which involves an automatic tool to quantify the percentage of weeds and sunflowers in a given area. Images captured by the Sequoia camera are used, and the quality of each band's images is enhanced. The resulting multispectral images are then classified into soil, sunflower, and weed categories using a novel algorithm implemented in e-Cognition software. The classification results are compared with two deep learning-based segmentation methods (U-Net and FPN).
Article
Horticulture
Julian Sanchez-Hermosilla, Jose Perez-Alonso, Patricio Martinez-Carricondo, Fernando Carvajal-Ramirez, Francisco Aguera-Vega
Summary: Greenhouse vegetable production in southern Europe is important but faces challenges due to high planting density and favorable conditions for pests and diseases. This study found that using an electrostatic hand-held sprayer for applying plant protection products can improve canopy deposition and reduce ground losses compared to conventional sprayers.
