Crowdsourced validation and updating of dynamic features in OpenStreetMap: an analysis of shelter mapping after the 2015 Nepal earthquake
The paper presents results from a validation process of OpenStreetMap (OSM) rapid mapping activities using crowdsourcing technology in the aftermath of the Gorkha earthquake 2015 in Nepal. We present a framework and tool to iteratively validate and update OSM objects. Two main objectives are address...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Chapter/Article Conference Paper |
| Language: | English |
| Published: |
25 April 2016
|
| In: |
ISCRAM 2016 Conference proceedings
Year: 2016, Pages: ? |
| Online Access: | Verlag, kostenfrei, Volltext: http://wrap.warwick.ac.uk/78701
|
| Author Notes: | Johannes Anhorn, Benjamin Herfort, João Porto de Albuquerque |
| Summary: | The paper presents results from a validation process of OpenStreetMap (OSM) rapid mapping activities using crowdsourcing technology in the aftermath of the Gorkha earthquake 2015 in Nepal. We present a framework and tool to iteratively validate and update OSM objects. Two main objectives are addressed: first, analyzing the accuracy of the volunteered geographic information (VGI) generated by the OSM community; second, investigating the spatio-temporal dynamics of spontaneous shelter camps in Kathmandu. Results from three independent validation iterations show that only 10 % of the OSM objects are false positives (no shelter camps). Unexpectedly, previous mapping experience only had a minor influence on mapping accuracy. The results further show that it is critical to monitor the temporal dynamics. Out of 4,893 identified shelter camps, 54% were already empty/closed six days after the first mapping. So far, updating geographical features during humanitarian crisis is not properly addressed by the existing crowdsourcing approaches. |
|---|---|
| Item Description: | Gesehen am 03.09.2018 |
| Physical Description: | Online Resource |
| ISBN: | 9788460879848 8460879844 |