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Methods for Determining the Uncertainty of Population Estimates Derived from Satellite Imagery and Limited Survey Data: A Case Study of Bo City, Sierra Leone
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 pers...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232376/ https://www.ncbi.nlm.nih.gov/pubmed/25398101 http://dx.doi.org/10.1371/journal.pone.0112241 |
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author | Hillson, Roger Alejandre, Joel D. Jacobsen, Kathryn H. Ansumana, Rashid Bockarie, Alfred S. Bangura, Umaru Lamin, Joseph M. Malanoski, Anthony P. Stenger, David A. |
author_facet | Hillson, Roger Alejandre, Joel D. Jacobsen, Kathryn H. Ansumana, Rashid Bockarie, Alfred S. Bangura, Umaru Lamin, Joseph M. Malanoski, Anthony P. Stenger, David A. |
author_sort | Hillson, Roger |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4232376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42323762014-11-26 Methods for Determining the Uncertainty of Population Estimates Derived from Satellite Imagery and Limited Survey Data: A Case Study of Bo City, Sierra Leone Hillson, Roger Alejandre, Joel D. Jacobsen, Kathryn H. Ansumana, Rashid Bockarie, Alfred S. Bangura, Umaru Lamin, Joseph M. Malanoski, Anthony P. Stenger, David A. PLoS One Research Article 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. Public Library of Science 2014-11-14 /pmc/articles/PMC4232376/ /pubmed/25398101 http://dx.doi.org/10.1371/journal.pone.0112241 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Hillson, Roger Alejandre, Joel D. Jacobsen, Kathryn H. Ansumana, Rashid Bockarie, Alfred S. Bangura, Umaru Lamin, Joseph M. Malanoski, Anthony P. Stenger, David A. Methods for Determining the Uncertainty of Population Estimates Derived from Satellite Imagery and Limited Survey Data: A Case Study of Bo City, Sierra Leone |
title | Methods for Determining the Uncertainty of Population Estimates Derived from Satellite Imagery and Limited Survey Data: A Case Study of Bo City, Sierra Leone |
title_full | Methods for Determining the Uncertainty of Population Estimates Derived from Satellite Imagery and Limited Survey Data: A Case Study of Bo City, Sierra Leone |
title_fullStr | Methods for Determining the Uncertainty of Population Estimates Derived from Satellite Imagery and Limited Survey Data: A Case Study of Bo City, Sierra Leone |
title_full_unstemmed | Methods for Determining the Uncertainty of Population Estimates Derived from Satellite Imagery and Limited Survey Data: A Case Study of Bo City, Sierra Leone |
title_short | Methods for Determining the Uncertainty of Population Estimates Derived from Satellite Imagery and Limited Survey Data: A Case Study of Bo City, Sierra Leone |
title_sort | methods for determining the uncertainty of population estimates derived from satellite imagery and limited survey data: a case study of bo city, sierra leone |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232376/ https://www.ncbi.nlm.nih.gov/pubmed/25398101 http://dx.doi.org/10.1371/journal.pone.0112241 |
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