| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.5194/isprs-annals-IV-4-27-2018 |
| The Picture Pile Tool for Rapid Image Assessment: A Demonstration using Hurricane Matthew. | |
| Danylo O; Moorthy I; Sturn T; See L; Laso Bayas J-C; Domian D; Fraisl D; Giovando C | |
| 发表日期 | 2018 |
| 出处 | ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4: 27-32 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | In 2016, Hurricane Matthew devastated many parts of the Caribbean, in particular the country of Haiti. More than 500 people died and the damage was estimated at 1.9billionUSD. At the time, the Humanitarian OpenStreetMap Team (HOT) activated their network of volunteers to create base maps of areas affected by the hurricane, in particular coastal communities in the path of the storm. To help improve HOT’s information workflow for disaster response, one strand of the Crowd4Sat project, which was funded by the European Space Agency, focussed on examining where the Picture Pile Tool, an application for rapid image interpretation and classification, could potentially contribute. Satellite images obtained from the time that Hurricane Matthew occurred were used to simulate a situation post-event, where the aim was to demonstrate how Picture Pile could be used to create a map of building damage. The aim of this paper is to present the Picture Pile tool and show the results from this simulation, which produced a crowdsourced map of damaged buildings for a selected area of Haiti in 1 week (but with increased confidence in the results over a 3 week period). A quality assessment of the results showed that the volunteers agreed with experts and the majority of individual classifications around 92% of the time, indicating that the crowd performed well in this task. The next stage will involve optimizing the workflow for the use of Picture Pile in future natural disaster situations. |
| 主题 | Ecosystems Services and Management (ESM) |
| 关键词 | disaster assessment, image interpretation, rapid classification, building damage, crowdsourcing, mobile apps |
| URL | http://pure.iiasa.ac.at/id/eprint/15474/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131304 |
| 推荐引用方式 GB/T 7714 | Danylo O,Moorthy I,Sturn T,et al. The Picture Pile Tool for Rapid Image Assessment: A Demonstration using Hurricane Matthew.. 2018. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| isprs-annals-IV-4-27（1102KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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