Abstract
Abstract. Mobile mapping systems are becoming increasingly popular as they can build 3D models of the environment rapidly by using a laser scanner that is integrated with a navigation system. 3D mobile mapping has been widely used for applications such as 3D city modelling and mapping of the scanned environments. However, accurate mapping relies on not only the scanner’s performance but also on the quality of the navigation results (accuracy and robustness) . This paper discusses the potentials of using 3D mobile mapping systems for landscape change detection, that is traditionally carried out by terrestrial laser scanners that can be accurately geo-referenced at a static location to produce highly accurate dense point clouds. Yet compared to conventional surveying using terrestrial laser scanners, several advantages of mobile mapping systems can be identified. A large area can be monitored in a relatively short period, which enables high repeat frequency monitoring without having to set-up dedicated stations. However, current mobile mapping applications are limited by the quality of navigation results, especially in different environments. The change detection ability of mobile mapping systems is therefore significantly affected by the quality of the navigation results. This paper presents some data collected for the purpose of monitoring from a mobile platform. The datasets are analysed to address current potentials and difficulties. The change detection results are also presented based on the collected dataset. Results indicate the potentials of change detection using a mobile mapping system and suggestions to enhance quality and robustness.
Highlights
Change detection methods have evolved greatly over the years, from conventional remote sensing techniques to using laser scanners, known as light detection and ranging (LiDAR)
Recent improvements in both navigation system accuracy and laser scanner performance allows the applications of mobile laser scanning system (MLS) based monitoring and surveying, which has a higher demand for accuracy and detail (Vu et al, 2004, Bitenc et al, 2011, Gonzalez-Jorge et al, 2012)
To compare the navigation accuracy that can be achieved in difficult environments such as Snake Pass, the StreetMapper system was installed on an experimental van from the Nottingham Geospatial Institute, The University of Nottingham
Summary
Change detection methods have evolved greatly over the years, from conventional remote sensing techniques to using laser scanners, known as light detection and ranging (LiDAR). With the advances in navigation systems, LiDAR applications have evolved with better flexibity by putting the laser scanner on mobile platforms, i.e. airborne LiDAR and mobile LiDAR, or mobile laser scanning system (MLS) These systems have the advantages of being able to survey larger areas over a relatively short period of time with high position accuracy and precision in three dimensions (3D). MLS is able to capture more details of the environment as it is much closer to the targets, often used in mobile mapping applications to build 3D models (Kaartinen et al, 2012) Recent improvements in both navigation system accuracy and laser scanner performance allows the applications of MLS based monitoring and surveying, which has a higher demand for accuracy and detail (Vu et al, 2004, Bitenc et al, 2011, Gonzalez-Jorge et al, 2012).
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