Doris Hermle

Accurate and reliable analyses of high-alpine landslide displacement magnitudes and rates are key requirements for current and future alpine early warnings. It has been proved that high spatiotemporal-resolution remote sensing data combined with digital image correlation (DIC) algorithms can accurately monitor ground displacements. DIC algorithms s...

Accurate remote analyses of high-alpine landslides are a key requirement for future alpine safety. In critical stages of alpine landslides, UAV (unmanned aerial vehicle) data can be employed, using image registration techniques to derive ground motion with high temporal and spatial resolution. Nevertheless, the classical area-based algorithms, dyna...

Accurate remote analyses of high-alpine landslides are a key requirement for future alpine safety. In critical stages of alpine landslide evolution, UAS (unmanned aerial system) data can be employed using image registration to derive ground motion with high temporal and spatial resolution. However, classical area-based algorithms suffer from dynami...

While optical remote sensing has demonstrated its capabilities for landslide detection and monitoring, spatial and temporal demands for landslide early warning systems (LEWSs) had not been met until recently. We introduce a novel conceptual approach to structure and quantitatively assess lead time for LEWSs. We analysed “time to warning” as a seque...

Remote sensing for natural hazard assessment and applications offers data on even vast areas, often difficult and dangerous to access. Today, satellite data providers such as PlanetLabs Inc. and the European Copernicus program provide a sub-weekly acquisition frequency of high resolution multispectral imagery. The availability of this high temporal...

While optical remote sensing has demonstrated its capabilities for landslide detection and monitoring, spatial and temporal demands for landslide early warning systems (LEWS) were not met until recently. We introduce a novel conceptual approach for comprehensive lead time assessment and optimisation for LEWS. We analysed time to warning as a sequen...

With the combination of diverse remote sensing data, one can estimate the detection capabilities of gravitational mass movement dynamics and behaviour. Recent multispectral satellite sensors such as Sentinel-2, RapidEye and PlanetScope offer unprecedented spatiotemporal resolutions, hence reducing data gaps of alpine meteorological constraints. In...

New remote sensing systems offer an increased spatiotemporal resolution and accuracy. These systems increase the chance of snow-and cloud-free multispectral images to detect and monitor landslides for early warning issues. Various studies showed the applicability of multispectral remote sensing systems for landslide detection and monitoring. Howeve...

Jökulhlaups are large floods which result from glacial lake outbursts. They are feared due to their potential for enormous devastation from a single large event. They occur in a short space of time but have long lasting ramifications for nearby settlements. One of the consequences of global change is the substantial impact that natural hazards wil...

At the end what matters is time. Therefore we postulate a new conceptual approach to structure and quantitatively assess lead time for LEWS.