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Title: The Influence of Image Properties on High-Detail SfM Photogrammetric Surveys of Complex Geometric Landforms: The Application of a Consumer-Grade UAV Camera in a Rock Glacier Survey
Authors: Martínez-Fernández, Adrián
Serrano, Enrique
Pisabarro, Alfonso
Sánchez-Fernández, Manuel
Sanjosé, José Juan de
Gómez-Lende, Manuel
Rangel de Lázaro, Gizéh
Benito-Calvo, Alfonso
Keywords: Unmanned aerial vehicle (UAV);Photogrammetry (SfM);Image format;Image properties;Mapping;Change detection;Geomorphology;Permafrost
Issue Date: Aug-2022
Publisher: MDPI
Citation: Remote Sensing, 2022, 14(15), 3528
Abstract: The detailed description of processing workflows in Structure from Motion (SfM) surveys using unmanned aerial vehicles (UAVs) is not common in geomorphological research. One of the aspects frequently overlooked in photogrammetric reconstruction is image characteristics. In this context, the present study aims to determine whether the format or properties (e.g., exposure, sharpening, lens corrections) of the images used in the SfM process can affect high-detail surveys of complex geometric landforms such as rock glaciers. For this purpose, images generated (DNG and JPEG) and derived (TIFF) from low-cost UAV systems widely used by the scientific community are applied. The case study is carried out through a comprehensive flight plan with ground control and differences among surveys are assessed visually and geometrically. Thus, geometric evaluation is based on 2.5D and 3D perspectives and a ground-based LiDAR benchmark. The results show that the lens profiles applied by some low-cost UAV cameras to the images can significantly alter the geometry among photo-reconstructions, to the extent that they can influence monitoring activities with variations of around ±5 cm in areas with close control and over ±20 cm (10 times the ground sample distance) on surfaces outside the ground control surroundings. The terrestrial position of the laser scanner measurements and the scene changing topography results in uneven surface sampling, which makes it challenging to determine which set of images best fit the LiDAR benchmark. Other effects of the image properties are found in minor variations scattered throughout the survey or modifications to the RGB values of the point clouds or orthomosaics, with no critical impact on geomorphological studies.
ISSN: 2072-4292
DOI: 10.3390/rs14153528
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Type: Article
Appears in Collections:Cartografía Digital y Análisis 3D
Geocronología y Geología

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