The role of satellite remote sensing data and GIS in population census and management in Nigeria: A case study of an enumeration area in Enugu, Nigeria

Type Journal Article - Scientific Research and Essay
Title The role of satellite remote sensing data and GIS in population census and management in Nigeria: A case study of an enumeration area in Enugu, Nigeria
Author(s)
Volume 4
Issue 8
Publication (Day/Month/Year) 2009
Page numbers 763-772
URL http://www.academicjournals.org/article/article1380629397_Eze.pdf
Abstract
he paper examines the nature of census operations in Nigeria and identifies the contribution of
satellite remote sensing (SRS) data and geographic information system (GIS) to the contingency
planning, mapping and management of census (attributes) datasets in Nigeria. Enumeration Areas
(EAs) of a site in Enugu, Nigeria was mapped. The census datasets were modeled and presented as an
ideal process. This was implemented using (IKONOS-1 m) image data in carving out the area, to
demonstrate that SRS and GIS are very useful tools in handling census datasets. Ground reference data
for carved-out area was collected using GPS hand sets. A census database was created with various
attributes, exploring certain aspects of data planning and processes. This was in terms of image (data)
compatibility, modeling, and capacity for interactiveness of database management system (DBMS)
network for spatial (query) analysis (based on user specified needs) was performed to determine the
age, type or purpose of buildings and other facilities within the mapped EAs. The scale of the
challenges faced by census managers; the no spatial credibility, crude data processing technique,
socio-political tendencies, un-proportional houses, correlation, and attribute verification often results to
contention, rejection and delay of census results in some cases. The paper concludes by suggesting
new ways and means through which the Nigerian state through its agencies in census operations
should explore to tackle this menace and save the nation from the embarrassments of poor handling of
census datasets.

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