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arXiv · 2006.14547

Estimating Displaced Populations from Overhead

Armin Hadzic·Gordon Christie·Jeffrey Freeman·Amber Dismer·Stevan Bullard·Ashley Greiner·Nathan Jacobs·Ryan Mukherjee
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Abstract

We introduce a deep learning approach to perform fine-grained population estimation for displacement camps using high-resolution overhead imagery. We train and evaluate our approach on drone imagery cross-referenced with population data for refugee camps in Cox's Bazar, Bangladesh in 2018 and 2019. Our proposed approach achieves 7.02% mean absolute percent error on sequestered camp imagery. We believe our experiments with real-world displacement camp data constitute an important step towards the development of tools that enable the humanitarian community to effectively and rapidly respond to the global displacement crisis.

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Armin Hadzic, Gordon Christie, Jeffrey Freeman, Amber Dismer, Stevan Bullard, Ashley Greiner, Nathan Jacobs, Ryan Mukherjee. 2020-12-21. Estimating Displaced Populations from Overhead. https://arxiv.org/abs/2006.14547

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