no code implementations • 18 Nov 2022 • Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan
Since such data might not be available during other events or regions, we aimed to produce a landslide density map using only elevation and SAR data to be useful to decision-makers in rapid response scenarios.
1 code implementation • 5 Nov 2022 • Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan
With climate change predicted to increase the likelihood of landslide events, there is a growing need for rapid landslide detection technologies that help inform emergency responses.
2 code implementations • 4 Mar 2020 • Chandan Singh, Wooseok Ha, Francois Lanusse, Vanessa Boehm, Jia Liu, Bin Yu
Machine learning lies at the heart of new possibilities for scientific discovery, knowledge generation, and artificial intelligence.
2 code implementations • 15 Oct 2019 • Vanessa Boehm, Chirag Modi, Emanuele Castorina
We find that the relative size of lensing corrections depends on the respective redshift distributions of the lensing sources and galaxies, but that they are generally small for high signal-to-noise correlations.
Cosmology and Nongalactic Astrophysics
no code implementations • 23 Oct 2014 • Sebastian Dorn, Torsten A. Enßlin, Maksim Greiner, Marco Selig, Vanessa Boehm
The calibration of a measurement device is crucial for every scientific experiment, where a signal has to be inferred from data.