Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 1401-1406, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-1401-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
14 Sep 2017
SPATIAL-TEMPORAL ANALYSIS OF OPENSTREETMAP DATA AFTER NATURAL DISASTERS: A CASE STUDY OF HAITI UNDER HURRICANE MATTHEW
J. Xu, L. Li, and Q. Zhou Faculty of Information Engineering, China University of Geosciences, Lumo Road, Wuhan, China
Keywords: OpenStreetMap, Spatial-temporal Analysis, VGI, Crisis Mapping, Hurricane Matthew Abstract. 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.
Conference paper (PDF, 2580 KB)


Citation: Xu, J., Li, L., and Zhou, Q.: SPATIAL-TEMPORAL ANALYSIS OF OPENSTREETMAP DATA AFTER NATURAL DISASTERS: A CASE STUDY OF HAITI UNDER HURRICANE MATTHEW, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 1401-1406, https://doi.org/10.5194/isprs-archives-XLII-2-W7-1401-2017, 2017.

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