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Abstract. Many types of applications require information about built-up areas and urban areas. Thus, there is a need for a global, vector-based, up-to-date, and free dataset of high resolution and accuracy. The OpenStreetMap (OSM) dataset fulfills those demands in principle. However, its focus is not land use or land cover. These observations lead to following questions: (1) Which OSM features can be used for computing built-up areas on global scale? (2) How can we derive built-up and urban areas on global scale in sufficient accuracy and performance by using standard software and hardware? (3) Is the quality of the result sufficient on global scale? In this paper, we investigate the first two questions in detail and give some insights into the third question.
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Stored only when both papers are in the corpus — 15 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.