Integrating Remote Sensing, GIS, Census and Socio-economic data in studying the Population-land use/cover Nexus in Ghana

dc.contributor.authorCodjoe, S.N.A.
dc.date.accessioned2012-05-08T12:22:02Z
dc.date.accessioned2017-10-14T15:09:56Z
dc.date.available2012-05-08T12:22:02Z
dc.date.available2017-10-14T15:09:56Z
dc.date.issued2007
dc.description.abstractLand is a very important asset and a means to sustain livelihood. In the face of a rapidly growing global population, increase in technological capacity, and affluence, the earth’s land cover has been transformed especially in developing countries. At the same time, social organization, attitudes, and values have also undergone profound changes. In contemporary times, issues of sustainable development, pollution prevention, global environmental change and related issues of human-environment interaction have been a major concern globally. This concern has largely been sparked by the phenomenon of global warming and its consequences, which are threatening the very existence of humans on the surface of the earth. Remotely sensed data (mainly from aerial photographs and satellite images) in combination with Geographical Information Systems (GIS) have been observed to have potential scientific value for the study of population-environment interaction. This paper provides an account of how Remote Sensing, GIS, census (mainly population and agricultural) and socio-economic (household, district and regional) survey data have been integrated in studying the population land-use/cover nexus in Ghana. It also identifies the major methodological challenges, and solutions.en_US
dc.identifier.urihttp://197.255.68.203/handle/123456789/1147
dc.language.isoenen_US
dc.publisherAfrica Development 2(32): 195-210en_US
dc.subjectPopulationen_US
dc.subjectLand use/coveren_US
dc.subjectRemote Sensingen_US
dc.subjectGISen_US
dc.subjectGhanaen_US
dc.titleIntegrating Remote Sensing, GIS, Census and Socio-economic data in studying the Population-land use/cover Nexus in Ghanaen_US
dc.typeArticleen_US

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