Using remotely sensed data for census surveys and population estimation in developing countries:  examples from Nigeria.
"Using examples from Nigeria, this paper demonstrates how remotely sensed data can be used to acquire some of the basic data requirements for census surveys and to estimate population.  The result obtained shows that visual identification of settlements on Landsat MSS and TM is more accurate and economical than equivalent digital classification techniques. Black and white aerial photographs were used to estimate the population of a model town and to establish EAs [enumeration areas].  The population estimation method employed can be used to obtain intercensal population estimates for the rapidly growing central places, while the established EAs for the study area have created a permanent base for future census surveys and census cross-validation, population estimation and other social surveys."
Adeniyi
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D000349:Africa; D017954:Africa South of the Sahara; D000354:Africa, Western; D019352:Censuses; D003625:Data Collection; D003906:Developing Countries; D005069:Evaluation Studies as Topic; D008722:Methods; D009549:Nigeria; D011154:Population Characteristics; D011158:Population Growth; D012106:Research; D012494:Sampling Studies; D013223:Statistics as Topic
Africa; Africa South Of The Sahara; Census; Census Methods; Data Analysis; Developing Countries; English Speaking Africa; Estimation Technics; Evaluation; Methodological Studies; Nigeria; Population Growth Estimation; Population Statistics; Research Methodology; Sampling Studies; Studies; Surveys; Western Africa