ISPRS Workshop on Service and Application of Spatial Data Infrastructure, XXXVI(4/W6), Oct. 14-16, Hangzhou, China
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METROPOLITAN GROWTH MONITORING AND LANDUSE CLASSIFICATION
USING GEOSPATIAL TECHNIQUES
Amjed S. Almas a ’, C. A. Rahim \ M. J. Butt \ Tayyab I. Shah c
a Department of Space Science, University of the Punjab, Quaid-e-Azam Campus, Lahore, Pakistan
b Department of Meteorology, Comsats Institute of Information Technology, Islamabad, Pakistan
c Japan International Cooperation Agency (JICA), Pakistan
E-mail: amjed5@yahoo.com
KEY WORDS: Urban Environment, Metropolitan, GIS, Remote Sensing, Spatial Analysis, Resolution
ABSTRACT:
The present research relates to the exploitation of Remote Sensing and GIS techniques for studying the metropolitan expansion and
landuse/ landcover classification of Lahore, the second largest city of Pakistan where urbanization is taking place at a striking rate
with inadequate development of the requisite infrastructure. Such sprawl gives rise to the congestion, pollution and commuting time
issues. The metropolitan expansion, based on growth direction and distance from the city centre, was observed for a period of about
thirty years. The classification of the complex spatial assemblage of urban environment and its expanding precincts was done using
the temporally spaced satellite images geo-referenced to a common coordinate system and census data. Spatial categorization of
urban landscape involving densely populated residential areas, sparsely inhibited regions, bare soil patches, water bodies, vegetation,
Parks, and mixed features was done with the help of satellite images. Resultantly, remote sensing and GIS techniques were found
very efficient and effective for studying the metropolitan growth patterns along with the classification of urban features in to
prominent categories. In addition, census data augments the usefulness of spatial techniques for carrying out such studies.
1. INTRODUCTION
Located at 31°34’north latitude and 74°22”east longitude, the
geographic expanse of Lahore district has witnessed random
growth in population from 0.67million to 6.3188million during
1941 to 1998 (FBS-1998). This alarming growth rate has
heaved the population density from 379 to 3,566 persons per
square kilometre giving rise to congestion, commuting problems,
improper provision of civic amenities to the citizens, and
environmental pollution etc. Eighty two percent of the total
population of Lahore district is urban and the rest is rural. Out
of the total urban population, 88% are provided with clean
water supply and 80% have the drainage facility. On the other
hand, only about 20% of the rural population enjoys afore-said
basic facilities (FBS-2002). Urbanization can be viewed as a
characteristic of the population, as a characteristic of particular
kinds of land uses and land covers, as well as a characteristic of
social and economic processes and interactions affecting both
population and land (McIntyre et al. 2000). In particular, urban
places are routinely defined as concentrations of people who are
engaged in non-agricultural activities (Weeks, 2002).
Definitions based on size, density, and economic activity all
imply a dichotomy between urban and rural, and that notion is
almost certainly accurate from an historical perspective.
The management of fast growing population in Lahore is beset
with a complex set of problems borne out of the inter-netting of
both service and administrative infrastructures. Information
sharing and management in such environment is of critical
importance to city planners and also to the public at large.
Unlike developed countries where computerized databases
provide interactive map information to the general public on
transportation routing, location of service centres, tourist sites
and emergency response centres, no such context-sensitive
information has yet in practice. Development could only be
availed until the information is rightly and precisely available.
Until a few years ago, provision of context-sensitive geographic
information was difficult to imagine without computer
automation. Now, not only the digital manipulation techniques
have improved but the fundamental need for high degree of
geographic details has also been satisfied. As such, it has
become possible to link the nature (service and administrative
facets) of information to its respective geographic location. The
geographic information systems (GIS) are the preferred tools to
administer such a linkage for developing a Metropolitan
Information System (MIS). GIS provides a way in which the
statistical results can be represented spatially on the map and
spatial patterns can be recognized. The quality of geographic
information is of real interest and importance for all the people
concerned with its use and exploitation. In the absence of
conventional maps showing details on infrastructure, high-
resolution satellite images can be used to effectively monitor
and implement changes in land use through detailed street level
mapping. The integration of remote sensing and geographic
information systems (GIS) has been widely applied and been
recognized as a powerful and effective tool in detecting urban
land use and land cover change (Ehlers et al. 1990, Treitz et al.
1992, Harris and Ventura 1995). The Satellite Image
interpretation and understanding always involve object
recognition and scene analysis tasks. All municipalities have
internal data flows between departments that may or may not be
explicitly documented. These data flows often require a re-
evaluation when department responsibilities or new
technologies are introduced into the organization.
The foregoing strengthened the anticipated need for
technological assails in managing the civic infrastructure within
the metropolitan environment. For the geographical expanse of
Lahore, it is imperative to not only improve the current
capability to monitor and channelise existing resource-base but
also to facilitate planned interventions. For all this to happen,