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DOI: 10.1371/journal.pone.0112241
论文题名:
Methods for Determining the Uncertainty of Population Estimates Derived from Satellite Imagery and Limited Survey Data: A Case Study of Bo City, Sierra Leone
作者: Roger Hillson; Joel D. Alejandre; Kathryn H. Jacobsen; Rashid Ansumana; Alfred S. Bockarie; Umaru Bangura; Joseph M. Lamin; Anthony P. Malanoski; David A. Stenger
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2014
发表日期: 2014-11-14
卷: 9, 期:11
语种: 英语
英文关键词: Surveys ; Geographic information systems ; Population density ; Population size ; Census ; Demography ; Sierra Leone ; Neighborhoods
英文摘要: This study demonstrates the use of bootstrap methods to estimate the total population of urban and periurban areas using satellite imagery and limited survey data. We conducted complete household surveys in 20 neighborhoods in the city of Bo, Sierra Leone, which collectively were home to 25,954 persons living in 1,979 residential structures. For five of those twenty sections, we quantized the rooftop areas of structures extracted from satellite images. We used bootstrap statistical methods to estimate the total population of the pooled sections, including the associated uncertainty intervals, as a function of sample size. Evaluations based either on rooftop area per person or on the mean number of occupants per residence both converged on the true population size. We demonstrate with this simulation that demographic surveys of a relatively small proportion of residences can provide a foundation for accurately estimating the total population in conjunction with aerial photographs.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0112241&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/18181
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Information Technology Division, Naval Research Laboratory, Washington, District of Columbia, United States of America;Information Technology Division, Naval Research Laboratory, Washington, District of Columbia, United States of America;Department of Global and Community Health, George Mason University, Fairfax, Virginia, United States of America;Njala University, Bo, Sierra Leone;Mercy Hospital Research Laboratory, Bo, Sierra Leone;Njala University, Bo, Sierra Leone;Mercy Hospital Research Laboratory, Bo, Sierra Leone;Mercy Hospital Research Laboratory, Bo, Sierra Leone;Mercy Hospital Research Laboratory, Bo, Sierra Leone;Center for Bio/Molecular Science and Engineering, Naval Research Laboratory, Washington, District of Columbia, United States of America;Center for Bio/Molecular Science and Engineering, Naval Research Laboratory, Washington, District of Columbia, United States of America

Recommended Citation:
Roger Hillson,Joel D. Alejandre,Kathryn H. Jacobsen,et al. Methods for Determining the Uncertainty of Population Estimates Derived from Satellite Imagery and Limited Survey Data: A Case Study of Bo City, Sierra Leone[J]. PLOS ONE,2014-01-01,9(11)
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