SPATIAL-TEMPORAL ANALYSIS OF OPENSTREETMAP DATA AFTER NATURAL DISASTERS: A CASE STUDY OF HAITI UNDER HURRICANE MATTHEW
Volunteered geographic information (VGI) has been widely adopted as an alternative for authoritative geographic information in disaster management considering its up-to-date data. OpenStreetMap, in particular, is now aiming at crisis mapping for humanitarian purpose. This paper illustrated that na...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-09-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/1401/2017/isprs-archives-XLII-2-W7-1401-2017.pdf |
| Summary: | Volunteered geographic information (VGI) has been widely adopted as an alternative for authoritative geographic information in
disaster management considering its up-to-date data. OpenStreetMap, in particular, is now aiming at crisis mapping for humanitarian
purpose. This paper illustrated that natural disaster played an essential role in updating OpenStreetMap data after Haiti was hit by
Hurricane Matthew in October, 2016. Spatial-temporal analysis of updated OSM data was conducted in this paper. Correlation of
features was also studied to figure out whether updates of data were coincidence or the results of the hurricane. Spatial pattern
matched the damaged areas and temporal changes fitted the time when disaster occurred. High level of correlation values of features
were recorded when hurricane occurred, suggesting that updates in data were led by the hurricane. |
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| ISSN: | 1682-1750 2194-9034 |