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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| 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 |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10584113/ |
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