Volume XLI-B4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 557-564, 2016
https://doi.org/10.5194/isprs-archives-XLI-B4-557-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 557-564, 2016
https://doi.org/10.5194/isprs-archives-XLI-B4-557-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  14 Jun 2016

14 Jun 2016

OPEN STREET MAP DATA AS SOURCE FOR BUILT-UP AND URBAN AREAS ON GLOBAL SCALE

Thomas Brinkhoff Thomas Brinkhoff
  • Institute for Applied Photogrammetry and Geoinformatics (IAPG), Jade University Wilhelmshaven/Oldenburg/Elsfleth Ofener Str. 16/19, 26121 Oldenburg, Germany

Keywords: Built-up Areas, Urban Areas, Volunteered Geographic Information, OpenStreetMap, Spatial Data Processing

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.