Article
Agronomy
Leon Hinrich Oehme, Alice-Jacqueline Reineke, Thea Mi Weiss, Tobias Wuerschum, Xiongkui He, Joachim Mueller
Summary: This study utilized digital surface models created from RGB-images captured by a UAV to estimate the plant height of 400 maize genotypes. The results showed that the UAV-based estimation was most accurate between 39 to 68 days after sowing.
Article
Remote Sensing
Taleatha Pell, Joan Y. Q. Li, Karen E. Joyce
Summary: This paper evaluates the workflows and output products of four desktop SfM packages and compares the impact of different software and parameters on the processing results. The study finds that no single software package performs the best across all metrics, emphasizing the importance of making informed decisions based on specific applications. The research also highlights the need for providing metadata associated with processing workflows.
Article
Environmental Sciences
Youngseok Song, Hyeongjun Lee, Dongho Kang, Byungsik Kim, Moojong Park
Summary: Unmanned aerial vehicles (UAVs) are widely used in various fields, including constructing precise topographic data and conducting watershed analysis. By utilizing UAVs for observation and adjusting thresholds for analysis, monitoring points can be selected to prevent flood damage.
Article
Agriculture, Multidisciplinary
J. M. Gilliot, J. Michelin, D. Hadjard, S. Houot
Summary: Estimating aboveground biomass and yield in agronomic field experiments using UAVs showed a 15% improvement in accuracy compared to manual estimation, offering a new feasible solution for monitoring crop growth.
PRECISION AGRICULTURE
(2021)
Article
Engineering, Marine
Ali Alakbar Karaki, Marco Bibuli, Massimo Caccia, Ilaria Ferrando, Sara Gagliolo, Angelo Odetti, Domenico Sguerso
Summary: This paper describes and evaluates new methodologies for surveying in coastal areas to obtain an efficient quantification of submerged and emerged environments. The work integrates geomatics and robotics, and focuses on developing a methodology for integrated aerial and underwater surveys in shallow water areas. The authors conducted a preliminary test at Gorzente Lakes near Genoa, Italy, where remote sensing techniques were combined with a UAV and an ASV to collect data. The results show the potential for creating a continuous digital surface model and evaluating water flow volume in a 3D visualization.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Remote Sensing
Asli Ozdarici-Ok, Ali Ozgun Ok, Mustafa Zeybek, Ayhan Atesoglu
Summary: This study introduces a new methodology for extracting Stone Pine trees from Digital Surface Models (DSMs), and evaluates its effectiveness using an Unmanned Aerial Vehicle (UAV) mission and a Hand-held Mobile Laser Scanner (HMLS). The results confirm that the proposed methodology is accurate and robust, outperforming previous studies in this context.
GEO-SPATIAL INFORMATION SCIENCE
(2022)
Article
Architecture
Jae Woo Park, Dong Jun Yeom
Summary: This study proposed an optimal arrangement of GCPs for earthwork sites using UAVs, showing that minimizing errors was achieved with six GCPs at an average interval of 189.0 m. Additionally, by adding an inside GCP, the error could be reduced further to 0.043 m.
JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING
(2022)
Article
Environmental Sciences
Yi-Chun Lin, Tian Zhou, Taojun Wang, Melba Crawford, Ayman Habib
Summary: This paper introduces new strategies for generating orthophotos that are conducive to straightforward detection of tassels and panicles in crop phenotyping activities. The strategies focus on improving visual appearance while maintaining geolocation accuracy through smooth digital surface model (DSM) generation and seamline control.
Article
Chemistry, Multidisciplinary
Muhammad Yudhi Rezaldi, Ambar Yoganingrum, Nuraini Rahma Hanifa, Yoshiyuki Kaneda, Siti Kania Kushadiani, Abdurrakhman Prasetyadi, Budi Nugroho, Agus Men Riyanto
Summary: The 3D modeling method for tsunamis developed in this research addresses weaknesses of traditional methods and has advantages such as predicting wave endpoints, simulating original environments, and improving inundation height and area accuracy. Results can be used for creating evacuation routes and determining suitable shelter locations.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Civil
Taesam Lee, Vijay P. Singh, Taegyu Ha
Summary: The frequency of extreme rainfall events has increased due to climate change and development in flood-prone areas, leading to increased damages caused by floods. Flood early warning systems (FEWS) are popular due to their low cost and effectiveness. However, the current water level measurement method for FEWS may not accurately reflect the earliest flooded site. This study proposes a novel UAV-based approach using photogrammetry to establish water-level standards for FEWS, which was successfully applied to the Migok-cheon Stream in South Korea.
JOURNAL OF HYDROLOGIC ENGINEERING
(2022)
Article
Computer Science, Information Systems
Hua Yan, Yunfei Chen, Shuang-Hua Yang
Summary: The translated passage highlights the importance of accurate and convenient energy consumption models for rotary-wing UAVs in communication designs. The author introduces a simple model with closed-form expression based on initial velocity, acceleration, and time duration, and analyses UAV flight control parameters using this model. Numerical results demonstrate the validity and reliability of the proposed model.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Environmental Studies
Bayram Uzun, Bura Adem Atasoy, Nida Celik Simsek
Summary: The study aims to support the subdivision phase of land readjustment implementation using orthophoto and digital elevation model (DEM) generated by photogrammetric methods. The results show that the use of these data can improve the accuracy of the subdivision process and contribute to the right decision making. Furthermore, using UAV technology for data acquisition saves time and cost, and can make significant contributions in the field of land management.
Article
Remote Sensing
Monica Herrero-Huerta, Diego Gonzalez-Aguilera, Yang Yang
Summary: In this paper, a fully automatic approach is proposed to extract individual maize plants and quantify structural components from unmanned aerial system (UAS) imagery. The experimental results demonstrate that this approach can accurately extract phenotypic traits with high correlation to on-field measurements.
Article
Computer Science, Artificial Intelligence
Nipun D. Nath, Chih-Shen Cheng, Amir H. Behzadan
Summary: The increasing frequency of natural disasters in recent years has prompted governments worldwide to reform their disaster management policies. Advancements in technology have improved data collection efficiency and provided new opportunities for data analytics. This paper introduces a method for mapping disaster impact information in drone videos without using GPS data.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Telecommunications
Minh-Hien T. Nguyen, Emiliano Garcia-Palacios, Tan Do-Duy, Octavia A. Dobre, Trung Q. Duong
Summary: In this study, we propose the use of multiple UAV-RISs to extend the coverage of a massive MIMO network. Compared to stationary RISs, UAV-RISs have the ability to cover more users thanks to the line-of-sight links. Our goal is to maximize the total network throughput by optimizing the power control coefficients at the base station and the phase shifts of the RISs.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2022)
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.