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Jin-Hyo Kim and Sang-Min Sung
Unmanned aerial vehicle (UAV) photogrammetry is an emerging means of acquiring high-precision rapid spatial information and data because it is cost-effective and highly efficient. However, securing uniform quality in the results of UAV photogrammetry is ...
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Jian Li, Yipu Peng, Zhiyuan Tang and Zichao Li
To address the incomplete image data collection of close-to-ground structures, such as bridge piers and local features like the suspension cables in bridges, obtained from single unmanned aerial vehicle (UAV) oblique photography and the difficulty in acq...
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Dioser Santos, Jeremy Rogers, Armando De Rezende and Victor Maldonado
The performance of a small reconfigurable unmanned aerial vehicle (UAV) is evaluated, combining a multidisciplinary approach in the computational analysis of additive manufactured structures, fluid dynamics, and experiments. Reconfigurable UAVs promise c...
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Ali Alakbar Karaki, Marco Bibuli, Massimo Caccia, Ilaria Ferrando, Sara Gagliolo, Angelo Odetti and Domenico Sguerso
In this paper, the state-of-the-art concerning new methodologies for surveying in coastal areas in order to obtain an efficient quantification of submerged and emerged environments is described and evaluated. This work integrates an interdisciplinary app...
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Nina Stark, Brendan Green, Nick Brilli, Emily Eidam, Kevin W. Franke and Kaleb Markert
Geotechnical data are increasingly utilized to aid investigations of coastal erosion and the development of coastal morphological models; however, measurement techniques are still challenged by environmental conditions and accessibility in coastal areas,...
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Dimitrios Trigkakis, George Petrakis, Achilleas Tripolitsiotis and Panagiotis Partsinevelos
GNSS positioning accuracy can be degraded in areas where the surrounding object geometry and morphology interacts with the GNSS signals. Specifically, urban environments pose challenges to precise GNSS positioning because of signal interference or interr...
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Dongbo Zhou, Shuangjian Liu, Jie Yu and Hao Li
The existing remote sensing image datasets target the identification of objects, features, or man-made targets but lack the ability to provide the date and spatial information for the same feature in the time-series images. The spatial and temporal infor...
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Huseyin Yurtseven
In this study, different in-situ and close-range sensing surveying techniques were compared based on the spatial differences of the resultant datasets. In this context, the DJI Phantom 3 Advanced and Trimble UX5 Unmanned Aerial Vehicle (UAV) platforms, Z...
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Sierra Young, Joshua Peschel, Gopal Penny, Sally Thompson, Veena Srinivasan
Pág. 1 - 20
This article describes the field application of small, low-cost robots for remote surface data collection and an automated workflow to support water balance computations and hydrologic understanding where water availability data is sparse. Current elevat...
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