Machine learning-assisted Python tool for landslide susceptibility mapping and uncertainty analysis.
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Updated
May 1, 2024 - Python
Machine learning-assisted Python tool for landslide susceptibility mapping and uncertainty analysis.
The Risk Data Library Standard (RDLS) is an open data standard to make it easier to work with disaster and climate risk data. It provides a common description of the data used and produced in risk assessments, including hazard, exposure, vulnerability, and modelled loss, or impact, data.
Official repository for the AuroraAxiom project.
A python package to make easier modelling hazards and risk changes
DROPEX (Disaster Rescue Operation and Probing of EXpert Drones) is Disaster Risk Management Project developed to perform optimized and autonomous rescue operations to overcome the comebacks of traditional manual operations or even traditional drone operations.
OpenSendaiBench: A benchmark dataset for building exposure and vulnerability dynamics
A working repository for the PhD research project on auditing the global disaster risk to assess whether countries are making progress on the Sendai Framework from the perspective of probabilistic catastrophe models and artificial intelligence
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