Validity and feasibility of a satellite imagery-based method for rapid estimation of displaced populations

International Journal of Health Geographics

Chris Grundy²  Jennifer J Palmer¹  Barclay T Stewart¹  Francesco Checchi¹ 

[1] Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St, London WC1E7HT, United Kingdom;Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, Keppel St, London WC1E7HT, United Kingdom

关键词: Remote sensing;    Satellite imagery;    Displaced;    War;    Humanitarian;    Internally displaced person;    Refugee;    Estimation;    Population;   

Others  :  810267
DOI  :  10.1186/1476-072X-12-4

 received in 2012-10-11, accepted in 2013-01-13,  发布年份 2013

【 摘 要 】

Background

Estimating the size of forcibly displaced populations is key to documenting their plight and allocating sufficient resources to their assistance, but is often not done, particularly during the acute phase of displacement, due to methodological challenges and inaccessibility. In this study, we explored the potential use of very high resolution satellite imagery to remotely estimate forcibly displaced populations.

Methods

Our method consisted of multiplying (i) manual counts of assumed residential structures on a satellite image and (ii) estimates of the mean number of people per structure (structure occupancy) obtained from publicly available reports. We computed population estimates for 11 sites in Bangladesh, Chad, Democratic Republic of Congo, Ethiopia, Haiti, Kenya and Mozambique (six refugee camps, three internally displaced persons’ camps and two urban neighbourhoods with a mixture of residents and displaced) ranging in population from 1,969 to 90,547, and compared these to “gold standard” reference population figures from census or other robust methods.

Results

Structure counts by independent analysts were reasonably consistent. Between one and 11 occupancy reports were available per site and most of these reported people per household rather than per structure. The imagery-based method had a precision relative to reference population figures of <10% in four sites and 10–30% in three sites, but severely over-estimated the population in an Ethiopian camp with implausible occupancy data and two post-earthquake Haiti sites featuring dense and complex residential layout. For each site, estimates were produced in 2–5 working person-days.

Conclusions

In settings with clearly distinguishable individual structures, the remote, imagery-based method had reasonable accuracy for the purposes of rapid estimation, was simple and quick to implement, and would likely perform better in more current application. However, it may have insurmountable limitations in settings featuring connected buildings or shelters, a complex pattern of roofs and multi-level buildings. Based on these results, we discuss possible ways forward for the method’s development.

【 授权许可】

   
2013 Checchi et al.; licensee BioMed Central Ltd.

【 图 表 】

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