Operational Framework for Rapid, Very-high Resolution Mapping of Glacial Geomorphology Using Low-cost Unmanned Aerial Vehicles and Structure-from-Motion Approach

• Published in: Remote Sensing
• Main Authors: Marek W. Ewertowski, Aleksandra M. Tomczyk, David J. A. Evans, David H. Roberts, Wojciech Ewertowski
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2019
• Subjects: UAV; drone; GIS; glacial geomorphology; mapping; SfM; Science; Q; Svalbard; Norway
• Online Access: https://doi.org/10.3390/rs11010065; https://doaj.org/article/43b9e3f9d14d468589c60ae35de4ae79

This study presents the operational framework for rapid, very-high resolution mapping of glacial geomorphology, with the use of budget Unmanned Aerial Vehicles and a structure-from-motion approach. The proposed workflow comprises seven stages: (1) Preparation and selection of the appropriate platform; (2) transport; (3) preliminary on-site activities (including optional ground-control-point collection); (4) pre-flight setup and checks; (5) conducting the mission; (6) data processing; and (7) mapping and change detection. The application of the proposed framework has been illustrated by a mapping case study on the glacial foreland of Hørbyebreen, Svalbard, Norway. A consumer-grade quadcopter (DJI Phantom) was used to collect the data, while images were processed using the structure-from-motion approach. The resultant orthomosaic (1.9 cm ground sampling distance—GSD) and digital elevation model (7.9 cm GSD) were used to map the glacial-related landforms in detail. It demonstrated the applicability of the proposed framework to map and potentially monitor detailed changes in a rapidly evolving proglacial environment, using a low-cost approach. Its coverage of multiple aspects ensures that the proposed framework is universal and can be applied in a broader range of settings.