{"id":527,"date":"2016-04-19T10:53:40","date_gmt":"2016-04-19T14:53:40","guid":{"rendered":"https:\/\/www.humanitariantechnology.org\/HumTech2016\/?page_id=527"},"modified":"2016-05-28T22:20:18","modified_gmt":"2016-05-29T02:20:18","slug":"georeferenced-settlement-mapping","status":"publish","type":"page","link":"https:\/\/www.humanitariantechnology.org\/HumTech2016\/georeferenced-settlement-mapping\/","title":{"rendered":"Georeferenced Settlement Mapping and Population Estimates Based on Remote Sensing and Microcensus Data in Northern Nigeria"},"content":{"rendered":"<p>In 2013-2014, detailed geo-referenced maps were created for 10 states in Northern Nigeria to support microplanning and vaccinator tracking for the Global Polio Eradication Initiative. Settlement feature extraction of high-resolution satellite imagery supported an extensive field campaign where geo-coordinates, names, administrative levels, and points of interest were collected for over 100,000 unique locations. The resulting maps played a key role in ensuring accountability of vaccination teams and identifying chronically-missed settlements, leading to the eventual elimination of polio from Nigeria in September 2015. Many additional uses have since been found for this rich, geospatial dataset including serving as a base layer for specialized datasets, facilitating measurement and evaluation efforts, and providing an ideal matrix for the development of a bottom-up population model based on settlement feature extraction and local microcensus data. The model is the result of collaboration between the Geographic Information Science and Technology (GIST) Group at <strong>Oak Ridge National Laboratories<\/strong>, <strong>Flowminder<\/strong> (University of Southampton), <strong>eHealth Africa<\/strong>, and the <strong>Bill &amp; Melinda Gates Foundation<\/strong>, and represents a major breakthrough in the field of population estimation and demography. The model outputs are at a resolution of 90 meters, and include validated confidence intervals, gender and standard 0-12 month and 5-year age groupings. The work was expanded to include the remaining 27 states in Nigeria, and is currently being expanded in a number of other countries, with the ultimate goal of providing both the settlement layers and population estimates to all of sub-Saharan Africa and parts of South Asia in support of other initiatives to include: Neglected Tropical Diseases, and Malaria.<\/p>\n<p>Moderator: Jeanette Weaver, Oak Ridge National Laboratory<br \/>\nPanelists:<br \/>\nEric Weber, Oak Ridge National Laboratory<br \/>\nNoelle Huskins , Bill and Melinda Gates Foundation<br \/>\nJo\u00e3o Pedro Azevedo, World Bank<br \/>\nThomas Bird, Flowminder<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In 2013-2014, detailed geo-referenced maps were created for 10 states in Northern Nigeria to support microplanning and vaccinator tracking for the Global Polio Eradication Initiative. Settlement feature extraction of high-resolution satellite imagery supported an extensive field campaign where geo-coordinates, names, administrative levels, and points of interest were collected for over 100,000 unique locations. The resulting [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-527","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.humanitariantechnology.org\/HumTech2016\/wp-json\/wp\/v2\/pages\/527","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.humanitariantechnology.org\/HumTech2016\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.humanitariantechnology.org\/HumTech2016\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.humanitariantechnology.org\/HumTech2016\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.humanitariantechnology.org\/HumTech2016\/wp-json\/wp\/v2\/comments?post=527"}],"version-history":[{"count":3,"href":"https:\/\/www.humanitariantechnology.org\/HumTech2016\/wp-json\/wp\/v2\/pages\/527\/revisions"}],"predecessor-version":[{"id":606,"href":"https:\/\/www.humanitariantechnology.org\/HumTech2016\/wp-json\/wp\/v2\/pages\/527\/revisions\/606"}],"wp:attachment":[{"href":"https:\/\/www.humanitariantechnology.org\/HumTech2016\/wp-json\/wp\/v2\/media?parent=527"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}