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THE DEVELOPMENT OF A SAMPLING PROCEDURE FOR URBAN
LAND USE MAPPING FROM AERIAL PHOTOGRAPHS
A STUDY IN CALABAR, NIGERIA
Ener. E.U. Esin, B.Sc., M.Phil.
University of Calabar,
Calabar, Nigeria
Dr. W.G. Coliins, Dr. C. Emmott,
University of Aston, Preston Polytechnic
Birmingham, England Preston, England
ABSTRACT
Most urban land use research has been carried out in the temperate climates,
and the methodologies developed, classifications compiled and results achieved
are not generally relevant to the situation in the tropics, particularly in the
rapidly urbanising countries in Africa.
This paper reports work aimed at making a contribution to the development
of a suitable urban land use classification scheme and an appropriate methodo-
logy for obtaining urban land use information, especially in statistical form,
for cities such as Calabar in tropical Africa.
INTRODUCTION
Developing nations in the tropics are faced with problems associated with
accelerated urbanization. This results largely from uncontrolled population
growth and the increase in sophistication and level of aspiration of traditional
rural peoples. These and other factors produce concentrations of people in
large urban agglomerations especially on the outskirts of which land
use is changing at rates unseen in temperate countries.
Since the civil war, these factors have become extremely significant in
Nigeria. With the advancement in technology, a rise in living conditions,
irrational allocation of resources and the general abuse of urban land by
squatters, there is an urgent need for proper monitoring and control of the
dynamic process of development.
Ideally all decisions regarding the development and redevelopment of land
should be based on an adequate knowledge of the existing position regarding the
size and distribution of land use types. Any changes proposed are changes in
the existing situation and may only be planned rationally if the existing
pattern of distribution is known. Such information can best be obtained by
means of an appropriate methodology combined with a suitable land use classi-
fication scheme.
For objectivity, the information collected must be purely factual based on
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