Abstract
Abstract. In recent years, the application of unmanned aerial vehicles (UAVs) has become more common and the availability of lightweight digital cameras has enabled UAV-systems to represent affordable and practical remote sensing platforms, allowing flexible and high- resolution remote sensing investigations. In the course of numerous UAV-based remote sensing campaigns significant numbers of airborne photographs of two different landslides have been acquired. These images were used for ortho-mosaic and digital terrain model (DTM) generation, thus allowing for high-resolution landslide monitoring. Several new open source image- and DTM- processing tools are now providing a complete remote sensing working cycle with the use of no commercial hard- or software.
Highlights
Remote sensing has been an integral method of landslide investigations for many decades, with several different techniques being used (Mantovani et al, 1995)
Data acquired with these methods is of neither sufficient resolution nor repeat rate to resolve the evolution of small landslide features, such as fissure structures or small displacements, which can provide significant information on landslide dynamics
Scientists are beginning to turn to unpiloted aerial vehicles (UAVs) as a low-cost alternative for high-resolution data acquisition
Summary
Remote sensing has been an integral method of landslide investigations for many decades, with several different techniques being used (Mantovani et al, 1995). Traditional airborne- and satellite-based remote sensing techniques are suitable for landslide detection over areas of multiple square kilometres (Henry et al, 2002). Data acquired with these methods is of neither sufficient resolution nor repeat rate to resolve the evolution of small landslide features, such as fissure structures or small displacements, which can provide significant information on landslide dynamics. Scientists are beginning to turn to unpiloted aerial vehicles (UAVs) as a low-cost alternative for high-resolution data acquisition. We investigate a low-cost UAV-system and an image processing chain based on open source tools for generating ortho-mosaics and digital terrain models (DTMs)
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