Auditing Geospatial Datasets for Biases: Using Global Building Datasets for Disaster Risk Management

The presence of biases has been demonstrated in a wide range of machine learning applications; however, it is not yet widespread in the case of geospatial datasets. This study illustrates the importance of auditing geospatial datasets for biases, with a particular focus on disaster risk management a...

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Bibliographic Details
Main Authors: Caroline M. Gevaert, Thomas Buunk, Marc J.C. van den Homberg
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Online Access:https://ieeexplore.ieee.org/document/10584113/
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