OPEN STREET MAP DATA AS SOURCE FOR BUILT-UP AND URBAN AREAS ON GLOBAL SCALE
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...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B4/557/2016/isprs-archives-XLI-B4-557-2016.pdf |
| Summary: | 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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| ISSN: | 1682-1750 2194-9034 |