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Premiere approche d'une enquete demographique en milieu rural africain par teledetection: Ajustement des donnees d'un recensement officiel par une loi de distribution

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Rural demographic studies have not led much in the field of remote sensing. In Africa, as well as in some developed countries, the existing demographic data are not suitable for planners' needs. To create accurate data, our paper explores a practical modelling technique, as well as less expensive solution techniques. We used data from an official demographic survey carried out in 1988 and a HRV1 satellite image of 1990. With a pixel-by-pixel textural basis analysis, we selected meaningful measure pixels for land cover units classification (mixed pixels were automatically removed). We then computed linear regression models. In the first model, the endogenous and heterogenous variables are respectively dwelling unit and cultivated unit. Furthermore, we calculated a regression from Census data (endogenous variable) and cultivated unit (exogenous data extracted from a HRV image). Finally we adjusted demographic data with two laws of distributions: exponential law and Pareto law. This article opens up the possibility of using remote sensing to estimate population sizes through environmental indicators more accurately. We obtained consistent adjusted correlation coefficients. En Afrique, et dans certains pays developpes, la pratique de recensements, amplement mise en cause par les bailleurs de fonds, est menacee de disparition. Nous proposons des pistes nouvelles pour la production d'une information demographique adaptee aux besoins des planificateurs et orientee vers la realisation de la comptabilite sociale. Pour cela, nous avons utilise une image HRV et les donnees du recensement officiel de 1988. Apres des traitements preliminaires bases sur la texture de notre image, nous avons extrait les villages dont nous disposons des statistiques officielles. Nous avons etabli des modeles de regression lineaire ou dans un premier temps la surface habitee est la variable endogene et la surface cultivee la variable exogene. Dans un deuxieme temps la population (recensement de 1988) est la variable endogene et la surface cultivee (extaite de l'image) la variable exogene. Enfin nous terminons par un ajustement des donnees de population par deux lois de distribution: loi exponentielle et loi de Pareto.

Document Type: Research Article


Publication date: September 20, 1998

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