Jul 2026· The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences· 0 citations· 1 references
Abstract
Abstract. UAS photogrammetry has become an efficient solution for acquiring high-resolution geospatial data for urban mapping, environmental monitoring, and 3D modelling. However, mission planning still involves a trade-off between data quality and operational efficiency, particularly regarding flight altitude, which directly affects ground sample distance (GSD), point cloud density, and positional accuracy. This study evaluates the influence of flight altitude through a controlled comparison of two urban photogrammetric surveys: a low-altitude flight at 61.2 m (GSD = 1.56 cm/pix, 420 images) and a higher-altitude flight at 121 m (GSD = 3.11 cm/pix, 116 images). Both surveys used RGB cameras with equivalent image resolution mounted on different platforms, which constitutes an experimental limitation, while overlap and processing parameters were kept constant. The results show that the lower-altitude flight produced denser data and better geometric performance, with lower reprojection error and lower check point RMSE. In contrast, the higher-altitude flight provided greater operational efficiency, covering a larger area with fewer images and lower computational demand. These findings indicate that both strategies are technically viable but suited to different objectives: lower altitudes favour geometric detail and positional accuracy, whereas higher altitudes improve productivity and area coverage. Therefore, flight altitude should be selected according to project requirements, balancing geometric quality and operational efficiency.
Remote sensing is widely recognized as a key technology across a wide range of technical and scientific domains, especially in agriculture. Although satellite data have long supported crop monitoring, their limitations in spatial resolution, revisit frequency and cloud coverage have often constrained their applications...
Lorenza Bovio, Victor Miherea, Jannis Fath et al.· Geomatics· 0 citations
The findings indicate that UAV photogrammetry combined with GIS provides a cost-effective and reliable approach for developing high-precision three-dimensional cadastral datasets that support modern land administration, urban planning, and digital city management.
Salar Mirzapour, Z. Azizi, H. Zavar et al.· Scientific Reports· 0 citations
Abstract. With the in-depth penetration of Unmanned Aerial Vehicle (UAV) technology in fields such as geographic information surveying and mapping, the urban low-altitude economy has ushered in a critical opportunity for rapid development. However, surveying and mapping UAVs are confronted with the core technical bottl...
Sijian Wang, Wen Zhang· The International Archives o...· 0 citations
Abstract. This paper presents a feasibility study on the extraction of railway parameters from high-precision UAV photogrammetry. A two-stage methodology is adopted: first, point-cloud accuracy and rail-surface coverage are optimized through controlled laboratory and field acquisitions; second, the resulting point clou...
Lucas De Burggrave, E. Bartczak, S. Cuypers et al.· The International Archives o...· 0 citations
Abstract. We evaluate the performance of the newly introduced DJI Zenmuse L3 UAV-borne LiDAR system in comparison to its predecessor L2. We conducted test flights over three representative environments — built-up, infrastructure, and forested areas — to assess accuracy, precision, spatial resolution, and vegetation pen...
Gottfried Mandlburger, Elisabeth Ötsch, Philipp Knopf· The International Archives o...· 0 citations
Abstract. Unmanned aerial vehicle (UAV) photogrammetry is indispensable for Arctic sea ice research, enabling high-resolution mapping and supporting critical operations. However, drifting sea ice, which is characterized by continuous motion that violates the fundamental ‘static-scene’ assumption, and no ground control...
Zhiqi He, Shu-Hang Zhang, Dai-Kun Yang et al.· The International Archives o...· 0 citations
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