Tools & Methods of Data Science

Red Cross: Satellite Imagery for Disaster Assessment

Timely reliable damage assessment of buildings and infrastructure in the wake of natural disasters is crucial for organized response and recovery efforts. To aid this effort, this project leverages modern machine learning techniques to rapidly analyze the before and after satellite images of affected areas to assess damage.

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Georeferencing of Historical Imagery

Aerial images can provide useful insights into how land and waterways change over time. To be able to compare images from different sources and time periods, georeferencing (identifying the exact latitude and longitude) is required.

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