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DSM generation from stereo aerial images for the reconstruction of the sea-clif...

Gama, Cristina; Jalobeanu, André; Almeida, Helder

The seacliffs evolution is an important aspect to be taken in account in the evolution of the world coastline. The seacliffs can suffer erosion induced by the storm wave incidence or subaerial erosion leading to the retreat of the coastline. However the amount of sediments that come from the cliff retreat represent an important sediment source to the coastal system. In some cases it is essential to include this...


DSM generation from stereo aerial images for the reconstruction of the sea-clif...

Gama, Cristina; Jalobeanu, André; Almeida, Helder

The seacliffs evolution is an important aspect to be taken in account in the evolution of the world coastline. The seacliffs can suffer erosion induced by the storm wave incidence or subaerial erosion leading to the retreat of the coastline. However the amount of sediments that come from the cliff retreat represent an important sediment source to the coastal system. In some cases it is essential to include this...


Evaluation of the short-term sea cliff retreat along the Tróia-

Gama, Cristina; Jalobeanu, André

Monitoring the sediment budget of coastal systems is essential to understand the costal equilibrium, and is an important aspect to be considered in coastal management. Thus, the identification and the quantitative evaluation of sedimentary sources and sinks are the first steps towards a better understanding of the dynamics of coastal morphology. The Tróia-Sines Embayed Coast (TSEC) in the southwest Portuguese c...


Long-term slip history discriminates among occurrence models for seismic hazard...

Fitzenz, Delphine; Ferry, Matthieu; Jalobeanu, Andre

We propose a Bayesian framework for the combination of catalogs of large earthquakes and dated cumulative slip data. It provides a quantitative way of discriminating or ranking the different renewal models. Indeed, once the datasets and priors are chosen, no additional expert opinion is required, and the ranking comes out of the Bayes factors directly. This way, the experience of experts is valorized, but the e...


Probabilistic surface change detection and measurement from digital aerial ster...

Jalobeanu, André; Gama, Cristina; Gonçalves, José

We propose a new method to measure changes in terrain topography from two optical stereo image pairs acquired at different dates. The main novelty is in the ability of computing the spatial distribution of uncertainty, thanks to stochastic modeling and probabilistic inference. Thus, scientists will have access to quantitative error estimates of local surface variation, so they can check the statistical signific...


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