Open Street Map Data as Source for Built-Up and Urban Areas on Global Scale

Abstract

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.

Assessing OpenStreetMap Completeness for Management of Natural Disaster by Means of Remote Sensing: A Case Study of Three Small Island States

“…There is an increasing need for a fully automatic tool that would allow to identify areas that lack a complete mapping of OSM features-especially in areas prone to hazard events. W-hile previous studies have utilized OSM data as reference for classification of built-up land cover with satellite imagery [77] [78] [79] here we show the potential use of publicly available remotely sensed data as predictors of the spatial coverage of OSM building footprints.…”

Assessing OpenStreetMap Completeness for Management of Natural Disaster by Means of Remote Sensing: A Case Study of Three Small Island States (Haiti, Dominica and St. Lucia)

“…There is an increasing need for a fully automatic tool that would allow to identify areas that lack a complete mapping of OSM features-especially in areas prone to hazard events. While previous studies have utilized OSM data as reference for classification of built-up land cover with satellite imagery [100][101][102][103] here we show the potential use of publicly available, remotely sensed data as predictors of the spatial coverage of OSM building footprints. The tool and methodology we present here are time-efficient and scalable.…”

Assessment of Wildlife Habitats Using Geo-Spatial Techniques; Implications for Long-Term Habitat Management of Girnar Wildlife Sanctuary, Gujarat, India

“…Open Street Map (OSM) were also used to create a free editable map of the World https://www.openstreetmap. org/#map=15/24.4803/72.7920 & layers=N.In this study, several landuse layers such as roads, railways, built-ups, etc., were extracted along with the country and state boundaries of Gujarat and India from the OSM server and were digitized using ArcGIS tool [27,28].…”