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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Human population distribution modelling at regional level using very high resolution satellite imagery
Applied Geography, Volume 41, Year 2013
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Description
Modelling the distribution of human population based on satellite-derived information has become an important field of research, providing valuable input e.g. for human impact assessments related to the management of threatened ecosystems. However, few regional-scale studies have been conducted in developing countries, where detailed land cover data is usually absent, and the potential of very high resolution (VHR) satellite imagery in this context has not been explored yet. This study uses results obtained through object-based image analysis (OBIA) of QuickBird imagery for a subset of a highly populated rural area in western Kenya. Functions are established that approximate frequency distributions of QuickBird-derived locations of houses in relation to five factors. These factors are known to impact settlement patterns and data is available for the entire study area. Based on an overall probability coefficient (weight) calculated from the single functions, human population is redistributed at the smallest administrative level available (version A). In addition, the problem of artefacts remaining at administrative boundaries is addressed by combining the approach with the pycnophylactic smoothing algorithm (Tobler, 1979) (version B). The results show distinct patterns of population distribution, with particular influence of rivers/streams and slope, while version B in addition is free of boundary artefacts. Despite some limitations compared to models based on detailed land cover data (e.g. the ability of capturing abrupt changes in population density), a visual and numerical evaluation of the results shows that using houses as classified from VHR imagery for a study area subset works well for redistributing human population at the regional level. This approach might be suitable to be applied also in other regions of e.g. sub-Saharan Africa. © 2013 Elsevier Ltd.
Authors & Co-Authors
Lung, Tobias
Germany, Karlsruhe
Hochschule Karlsruhe - Technik Und Wirtschaft
Belgium, Brussels
European Commission Joint Research Centre
Lübker, Tillmann
Germany, Karlsruhe
Hochschule Karlsruhe - Technik Und Wirtschaft
Germany
Bundesamt Für Naturschutz, as Insel Vilm
Ngochoch, James K.
Germany, Karlsruhe
Hochschule Karlsruhe - Technik Und Wirtschaft
Kenya, Nairobi
Food and Agriculture Organization, Kenya
Schaab, Gertrud
Germany, Karlsruhe
Hochschule Karlsruhe - Technik Und Wirtschaft
Statistics
Citations: 44
Authors: 4
Affiliations: 4
Identifiers
Doi:
10.1016/j.apgeog.2013.03.002
ISSN:
01436228
Study Design
Cross Sectional Study
Study Locations
Kenya