Thomas Goelles

University of Graz | KFU Graz

Albedo is the dominant factor governing surface melt variability in the ablation area of ice sheets and glaciers. Aerosols such as mineral dust and black carbon (soot) accumulate on the ice surface and cause a darker surface and therefore a lower albedo. The darkening effect on the ice surface is currently not included in sea level projections, and...

Surface melt in the ablation zone is dominated by atmospheric temperature and surface albedo. We developed a surface mass-balance model with a dynamic component of glacier ice albedo which includes surface properties, clouds and the angle of the sun. The ice albedo reduction is mainly caused by impurity accumulation of non-biological origin such as...

Point clouds are a very common format for representing three dimensional data. Point clouds can be acquired by different sensor types and methods, such as lidar (light detection and ranging), radar (radio detection and ranging), RGB-D (red, green, blue, depth) cameras, photogrammetry, etc. In many cases multiple point clouds are recorded over time,...

Avalanches pose a significant threat to the population and infrastructure of mountainous regions. The mapping and documentation of avalanches in Austria is mostly done by experts during field observations and covers usually only specific localized areas. A comprehensive mapping of avalanches is, however, crucial for the work of local avalanche comm...

Traditional methods for surveying the spatial and temporal distribution of snow are often time-consuming, costly, and potentially hazardous. To address these challenges, we propose a novel approach utilizing a newly developed sensor system based on cost-effective industrial lidar sensors. This system is designed to be mounted on cable cars, enablin...

This paper presents a novel approach for continuous snow depth assessment using lidar system mounted on a cable car. Traditional methods for measuring snowpack characteristics in mountainous regions are often limited by high costs, manual labor, and inadequate spatial coverage. By integrating lidar technology with existing cable car infrastructure,...

The perception supply chain (SC1) of the ArchitectECA2030 project investigates failure modes, fault detection, and residual risk in perception systems of electrified, connected, and automated (ECA) vehicles. This accounts for the needs of a reliable understanding of the surrounding environment. The three demonstrators of SC1, described in this pape...

Einleitung Terrestrisches Laserscanning wird seit mehr als 15 Jahren in großem Umfang eingesetzt, um Schnee-höhen mit hoher Auflösung und Zentimetergenauig-keit zu kartieren (Prokop, 2008; Deems et al., 2015). Ursprünglich auf die Untersuchung der Bedingun-gen in Lawinenanriss-und Lawinenauslaufgebie-ten konzentriert, hat diese Technik mit dem Auf-...

We propose a newly developed modular MObile LIdar SENsor System (MOLISENS) to enable new applications for small industrial lidar (light detection and ranging) sensors. The stand-alone modular setup supports both monitoring of dynamic processes and mobile mapping applications based on SLAM (Simultaneous Localization and Mapping) algorithms. The main...

Today, the automotive industry is a leading technology driver for lidar systems, because the largest challenge for achieving the next level of vehicle automation is to improve the reliability of the vehicles' perception system. High costs of mechanically spinning lidars are still a limiting factor, but prices have already dropped significantly duri...

We enable exciting and novel mapping and monitoring use cases for automotive lidar technologies in the Arctic. Originally, these lidar technologies were developed for enabling environment perception of automated vehicles with high spatial resolution and accuracy. Therefore, these lidar sensors have several advantages for mobile mapping applications...

Since its start in 2014, the Copernicus Sentinel-1 programme has provided free of charge, weather independent, and high-resolution satellite Earth observations and has set major scientific advances in the detection of snow avalanches from satellite imagery in motion. Recently, operational avalanche detection from Sentinel-1 synthetic Aperture radar...

Lidar is an important component of the perception suite for automated systems. The effects of vibration on lidar point clouds are mostly unknown, despite the lidar’s wide adaption and usual application under conditions where vibration occurs frequently. In this study, we performed controlled vibration tests from 6 to 2000 Hz at 9 and 12 m/s <sup xm...

We propose a newly developed modular MObile LIdar SENsor System (MOLISENS) to enable new applications for automotive light detection and ranging (lidar) sensors independent of a complete vehicle setup. The stand-alone, modular setup supports both monitoring of dynamic processes and mobile mapping applications based on Simultaneous Localization and...

We investigated the effects of mechanical sensor cover damages like scratches, cracks, and holes on point clouds of automotive lidar. Full text available at TechRxiv: https://doi.org/10.36227/techrxiv.18101279.v1

We investigated the effects of mechanical sensor cover damages like scratches, cracks, and holes on point clouds of automotive lidar.

Lidar sensors play an essential role in the perception system of automated vehicles. Fault Detection, Isolation, Identification, and Recovery (FDIIR) systems are essential for increasing the reliability of lidar sensors. Knowing the influence of different faults on lidar data is the first crucial step towards fault detection for lidar sensors in au...

Perception sensors such as camera, radar, and lidar have gained considerable popularity in the automotive industry in recent years. In order to reach the next step towards automated driving it is necessary to implement fault diagnosis systems together with suitable mitigation solutions in automotive perception sensors. This is a crucial prerequisit...

The Greenland ice sheet is the largest ice mass in the Northern Hemisphere and has experienced accelerating mass loss in recent decades. An increase in surface melt is the major cause for the loss of mass. Albedo is a major control of surface melt and has decreased over the entire Greenland ice sheet, especially at lower elevations near the margin...

Albedo is the dominating factor governing surface melt variability in the ablation area of ice sheets and glaciers. Aerosols such as mineral dust and black carbon (soot) accumulate on the ice surface and cause a darker surface and therefore a lower albedo. The dominant source of these aerosols in the ablation area is melt-out of englacial material...

Ice loss due to surface melt of the Greenland ice sheet has increased in recent years. Surface melt in the ablation zone is controlled by atmospheric temperature and surface albedo. Impurities such as mineral dust and black carbon darken the snow and ice surfaces and therefore reduce the surface albedo which leads to more absorbed solar energy and...

Modelling the evolution of the Earth system on long timescales requires the knowledge and understanding of driving mechanisms, such as the hydrological cycle. This is dominant in all components of the Earth's system, such as atmosphere, ocean, land surfaces/vegetation and the cryosphere. Observations and measurements of stable water isotopes in cli...

Modelling the evolution of the Earth system on long timescales requires the knowledge and understanding of driving mechanisms, such as the hydrological cycle. This is dominant in all components of the Earth's system, such as atmosphere, ocean, land surfaces/vegetation and the cryosphere. Observations and measurements of stable water isotopes in cli...