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Article

Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data

2022-10-01

Abstract excerpt

Accurate and up-to-date maps of built-up areas are crucial to support sustainable urban development. Earth Observation (EO) is a valuable data source to cover this demand. In particular, Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 MultiSpectral Instrument (MSI) missions offer new opportunities to map built-up areas on a global scale. Using Sentinel-2 images, recent urban mapping efforts achieved promi...

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Literature Corpus work
9cff98fa-5fe0-5949-bbb2-a467add6aac3
DOI
10.1016/j.rse.2022.113192
Open publication

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Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI dataDOI 10.1016/j.rse.2022.113192
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