Abstract
Throughout 2018, approximately 68.5 million people were forcibly displaced due to armed conflict, generalized violence, or human rights violations around the world; of those, 40 million were internally displaced persons (IDP), 25.4 million refugees, and 3.1 million asylum-seekers. Effective management of refugee and IDP camps rely on accurate, up-to-date, and comprehensive population estimates. However, obtaining this information is not always easy. Thus, the purpose of this study was to develop a methodology and custom toolset that estimates populations based on dwellings derived from automated feature extraction of high-resolution, multi-spectral orthorectified imagery. Estimates were determined for five Rohingya refugee camp populations and compared with United Nations High Commissioner for Human Rights (UNHCR) baseline data to determine accuracy.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 |
| Editors | Tung X. Bui |
| Publisher | IEEE |
| Pages | 2197-2206 |
| Number of pages | 10 |
| ISBN (Electronic) | 9780998133133 |
| Publication status | Published - 2020 |
| Externally published | Yes |
| Event | 53rd Hawaii International Conference on System Sciences, HICSS 2020 - Grand Wailea, Maui, United States Duration: 7 Jan 2020 → 10 Jan 2020 Conference number: 53 |
Publication series
| Name | Proceedings of the Annual Hawaii International Conference on System Sciences |
|---|---|
| Volume | 2020-January |
| ISSN (Print) | 1530-1605 |
Conference
| Conference | 53rd Hawaii International Conference on System Sciences, HICSS 2020 |
|---|---|
| Abbreviated title | HICSS 2020 |
| Country/Territory | United States |
| City | Maui |
| Period | 7/01/20 → 10/01/20 |
Keywords
- GIS
- Object-based
- Pixel-based
- Population estimate
- Python
- Geo-health
- geo-health
- Earth Observation data
