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Detecting and mapping informal settlements encompasses several of the UnitedNations sustainable development goals. This is because informal settlements arehome to the most socially and economically vulnerable people on the planet.Thus, understanding where these settlements are is of paramount importance toboth government and non-government organizations (NGOs), such as the UnitedNations Children's Fund (UNICEF), who can use this information to delivereffective social and economic aid. We propose two effective methods fordetecting and mapping the locations of informal settlements. One uses onlylow-resolution (LR), freely available, Sentinel-2 multispectral satelliteimagery with noisy annotations, whilst the other is a deep learning approachthat uses only costly very-high-resolution (VHR) satellite imagery. To ourknowledge, we are the first to map informal settlements successfully withlow-resolution satellite imagery. We extensively evaluate and compare theproposed methods. Please find additional material athttps://frontierdevelopmentlab.github.io/informal-settlements/.

Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data