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

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...

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Main Authors: Adrián Martínez-Fernández, Enrique Serrano, Alfonso Pisabarro, Manuel Sánchez-Fernández, José Juan de Sanjosé, Manuel Gómez-Lende, Gizéh Rangel-de Lázaro, Alfonso Benito-Calvo
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/15/3528
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author Adrián Martínez-Fernández
Enrique Serrano
Alfonso Pisabarro
Manuel Sánchez-Fernández
José Juan de Sanjosé
Manuel Gómez-Lende
Gizéh Rangel-de Lázaro
Alfonso Benito-Calvo
author_facet Adrián Martínez-Fernández
Enrique Serrano
Alfonso Pisabarro
Manuel Sánchez-Fernández
José Juan de Sanjosé
Manuel Gómez-Lende
Gizéh Rangel-de Lázaro
Alfonso Benito-Calvo
author_sort Adrián Martínez-Fernández
collection DOAJ
description 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.
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spelling doaj.art-032273edacab425b8e0ca66560b614b42023-12-01T23:07:47ZengMDPI AGRemote Sensing2072-42922022-07-011415352810.3390/rs14153528The 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 SurveyAdrián Martínez-Fernández0Enrique Serrano1Alfonso Pisabarro2Manuel Sánchez-Fernández3José Juan de Sanjosé4Manuel Gómez-Lende5Gizéh Rangel-de Lázaro6Alfonso Benito-Calvo7Centro Nacional de Investigación sobre la Evolución Humana (CENIEH), 09002 Burgos, SpainResearch Group Natural Heritage and Applied Geography (PANGEA), Universidad de Valladolid, 47011 Valladolid, SpainResearch Group Natural Heritage and Applied Geography (PANGEA), Universidad de Valladolid, 47011 Valladolid, SpainResearch Group Engineering, Territory and Heritage (NEXUS), Universidad de Extremadura, 10003 Cáceres, SpainResearch Group Natural Heritage and Applied Geography (PANGEA), Universidad de Valladolid, 47011 Valladolid, SpainResearch Group Natural Heritage and Applied Geography (PANGEA), Universidad de Valladolid, 47011 Valladolid, SpainDepartment of Earth Sciences, Natural History Museum, London SW7 5BD, UKCentro Nacional de Investigación sobre la Evolución Humana (CENIEH), 09002 Burgos, SpainThe 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.https://www.mdpi.com/2072-4292/14/15/3528unmanned aerial vehicle (UAV)photogrammetry (SfM)image formatimage propertiesmappingchange detection
spellingShingle Adrián Martínez-Fernández
Enrique Serrano
Alfonso Pisabarro
Manuel Sánchez-Fernández
José Juan de Sanjosé
Manuel Gómez-Lende
Gizéh Rangel-de Lázaro
Alfonso Benito-Calvo
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
Remote Sensing
unmanned aerial vehicle (UAV)
photogrammetry (SfM)
image format
image properties
mapping
change detection
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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic unmanned aerial vehicle (UAV)
photogrammetry (SfM)
image format
image properties
mapping
change detection
url https://www.mdpi.com/2072-4292/14/15/3528
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