land-use change and urbanization of adana, turkey
TRANSCRIPT
land degradation & development
Land Degrad. Develop. 14: 575–586 (2003)
Published online 2 September 2003 in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/ldr.581
LAND-USE CHANGE AND URBANIZATION OF ADANA, TURKEY
H. ALPHAN*
Department of Landscape Architecture, University of Cukurova, Adana, Turkey
Received 26 February 2003; Revised 3 July 2003; Accepted 4 July 2003
ABSTRACT
This study analyses land-use/land-cover (LULC) changes in Adana city, Turkey, using satellite data of 1984 and 2000. Studyof the expansion of the city over adjacent agricultural fields and semi-natural areas was the major focus. The satellite imageswere classified using supervised classification prior to comparison of LULC on two different dates. The change map wasproduced by pixel-to-pixel comparison of the classified images. Urban and built-up area increased by a factor of 2�07 duringthe 16 years; about 30 per cent on agricultural land and 70 per cent on previously semi-natural land. Permanent immigrationand urban development strategies were the main driving forces. Some policy perspectives are also given. Copyright # 2003John Wiley & Sons, Ltd.
key words: urbanization; land-use/land-cover change; Adana; Turkey; remote sensing
INTRODUCTION
Urbanization does not appear to be central to land-cover change, as it is still less than 2 per cent of the earth’s
surface. Yet it cannot be ignored in land-use/land-cover (LULC) change studies. The enormous expansion of urban
areas is a global phenomenon. By 2025, 60 per cent of the world population will be urban and the ‘ecological
footprint’ will be critical (Lambin et al., 1999). Urbanization in developing countries increases nearly 7 per cent
per year Masek et al. (2000). Xu et al. (2000) and Ji et al. (2001) note the potential threat to agricultural production
due to the constant loss of arable land.
Rural populations move to cities in the hope of raised standards. Hence LULC change is the product of
individual and community actions. Timely information on such change is the basis of policy for the anticipation of
problems that accompany growth (Ridd and Liu, 1998).
This study focuses on Adana metropolitan area by using satellite data of 1984 and 2000.
IDENTIFICATION OF LULC
Satellite data have long been available and are useful for urban LULC mapping and change detection (Quarmby
and Cushine, 1989; Yildirim et al., 2002). Landsat MSS images have relatively coarse spatial resolution. Landsat
TM with 7 spectral bands allows LULC mapping at a higher level of detail and finer urban change detection.
Landsat ETMþ provides panchromatic data with 15 m spatial resolution (Yang and Lo, 2002). One major
difficulty is the relatively short time span of the archived imagery (Logsdon et al., 1996).
Post-classification comparison is the most commonly used quantitative method of change detection. It requires
comparison of rectified individual classification results on a pixel-to-pixel basis (Dobson et al., 1995). This method
requires high classification accuracy (Rutchey and Velcheck, 1994). The advantage of post-classification
Copyright # 2003 John Wiley & Sons, Ltd.
�Correspondence to: H. Alphan, Department of Landscape Architecture, University of Cukurova, Adana 01330, Turkey.E-mail: [email protected]
comparison is that it bypasses the difficulties associated with the analysis of images acquired at different times of
the year or by different sensors.
STUDY AREA AND THE DATASET
Adana is located in the Mediterranean region of Turkey about 30 m above sea-level (Figure 1). To the south is the
plain called Cukurova meaning ‘lower plain’, to the north are the foothills of the Taurus Mountain ranges. The city
core is lower than its vicinity (Figure 2). The River Seyhan rises in the Taurus Mountains and crosses the city of
Adana from north to south. North of the city, the Seyhan Dam was constructed in the late-1950s for hydraulic
power generation, potable water supply and agricultural irrigation. However, the lake scenery and bioclimate at the
dam recently attracted urbanization, and hence changed the environment. Figure 3 shows the change between 1984
and 2000.
The original seminomadic people in the Ottoman period had a pastoral lifestyle, living in small, dense villages
in lower parts of the region and seasonally utilizing the uplands. After the reform of 1865, they became settled and
adopted an agricultural lifestyle (Yilmaz, 1998). Since the 1950s Adana has become an important agricultural,
industrial and transportation centre. The urban population has increased by a factor of 13 to nearly 1�5 million
people during the past 67 years (Figure 4). Population growth between 1985 and 2000 was 22�5 per cent.
Figure 1. Location of the study area.
Figure 2. Typical north-to-south profile of the study area.
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Suburbanization emerged as a result of new space requirements. Semi-natural and agricultural areas, including
cotton fields, vineyards and olive groves, were built over. This resulted in losses of the natural drainage and
vegetation cover; consequently, lower parts of the area became prone to occasional flash-flooding.
The land is very fertile: approximately 70 per cent of the original dune area was replaced by agriculture and
afforestation in the Mediterranean coastal zone and gives high crop yields (Yilmaz, 2002). However, the major part
of the land around Adana city has recently been converted to an urban area.
The data used for the study are Landsat TM and ETMþ images (Path: 175/Row: 34) acquired on 29 September
1984 and 21 January 2000 respectively. Subscenes for the study area were produced from these cloud-free images.
Six reflective bands for each of the images were used in the classification and change detection procedure. The
thermal band was excluded in the analyses.
Figure 3. Classified images showing LULC categories of the study area in 1984 and 2000.
Figure 4. Population growth of the Adana city between 1935 and 2000. (Source: Anonymous, 2002).
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Digital Image Processing and Change Detection
The post-classification comparison procedure, as employed in this study, includes georeferencing, supervised
classification of satellite images and identification of change areas by comparing two classified images (Figure 5).
The five land-cover classes used in the classification are: (1) seminatural, (2) bare-exposed, (3) agriculture, (4)
urban and (5) water. Definitions for these are given in the Table I.
Since post-classification detection of changes relies on pixel-based comparisons, georeferencing is of great
importance to produce spatially reliable change maps. Both images of 1984 and 2000 were rectified and
georeferenced to the UTM map projection. The root mean square error (RMSE) was calculated to be not greater
than 0�4 pixels in the x and y directions for both images, which proved the accuracy of the registration.
Figure 5. Flow diagram of the change detection procedure used in this study.
Table I. Definitions of LULC classes used in the classification
Class name Definition
Semi-natural Characterized by high coverage of////macchia shrubs (e.g. Quercus coccifera, Pistacia lentiscus, Myrtus
communis) and pine forest (Pinus brutia). Open green spaces around the airports were also included in thisclass
Bare-exposed Areas of sparse vegetation cover (less than 20 per cent) that are likely to change or be converted to otheruses in the near future; including clearcuts, all quarry area, barren rock or sand along the river or streambeds (Yang and Lo, 2002)
Agriculture Arable lands with or without crops, including orchards and vineyardsUrban Approximately 80–100 per cent coverage of construction materials. Residential development residing in the
city core, commercial and industrial buildings, large and open transportation facilities (Yang and Lo, 2002).Newly developed residential areas with approximately 50 per cent coverage of very sparse vegetation arealso included in this class. High concrete buildings are typical to these new residential areas
Water Open water surfaces with almost 100 per cent cover of water including the dam lake, streams and the river
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Supervised classification of each image was implemented using a maximum likelihood classifier. ERDAS
IMAGINE software was used for image processing. Six non-thermal bands of each image were clustered into
spectral classes according to the statistics derived from the training pixels. Each spectral class was then assigned to
one of the previously defined LULC classes. Fields without crop were assigned to a class that was later recoded as
‘agriculture’. Urban and built-up areas were recognized by high albedo in the visible portion of the spectrum
whereas the semi-natural areas were identified by relatively high reflectance in the near-infrared band.
RESULTS OF MAP COMPARISONS
The following data were assessed by map comparisons
(1) LULC maps of each date (Figure 3).
(2) Change map by overlaying one LULC map onto another.
(3) ‘From-to’ information from pixel-to-pixel comparison of the classifications.
Conversions can be seen by visual interpretation of the maps. It showed that development took place on the semi-
natural areas, vineyards and olive groves in the northwest and on agricultural fields in the south.
The urban area grew by 4872 ha between 1984 and 2000, or nearly by 300 ha yr�1 on average. The urban area
doubled, whereas semi-natural and agricultural areas decreased by 34 and 23 per cent respectively (Table II,
Figure 6). Approximately 58 per cent of the newly urbanized area was reclaimed from agriculture and two-thirds of
the area that converted to agriculture in this period was reclaimed from semi-natural areas (Table III, Figure 7).
Bold values on the diagonal axis in the Table III represent no change.
Built-up urban areas are generally expected not to change to other LULC types such as water or agriculture.
However, sometimes reflectance spectra are misleading, particularly in low-density urban areas, where vegetation
Table II. Changes in the area of LULC between 1984 and 2000
Class name 1984 (ha) 2000 (ha) Change (ha) Change (%)
Semi-natural 5 339�52 3 524�40 �1815�12 �33�99Bare-exposed 2 041�20 1 978�38 �62�82 �3�08Agriculture 13 003�38 10 014�48 �2988�90 �22�99Urban 4 528�44 9 400�23 4871�79 107�58Water 1 830�60 1 825�65 �4�95 �0�27
Total 26 743�14 26 743�14
Figure 6. LULC changes between 1984 and 2000.
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grows over time. Then misleading classification may result. This may be the case for changes shown in Table III
from urban to semi-natural, agriculture or water; not to the change to bare-exposed.
URBANIZATION PATTERNS
The accelerated development of Adana city dates back to the investments that aimed to improve agriculture and
agriculture-based industries in the region in early-1950s. These measures included flood control in the lower
region, utilization of fertilizers and biocides, promotion of agricultural mechanization and introduction of new
plant breeds for agriculture.
Two factors promoted the residential development: (1) the migration of rural people from economically
undeveloped regions in the country to squatter settlements and (2) the demand for new peri-urban settlements near
the dam reservoir that had a better bioclimate (Figure 8). The northwards expansion of the city resulted from
planned action initiated in early-1990s to accommodate 200 000 new residents by the year 2010 (Figure 9).
In contrast, the development in the south has led to unplanned suburbs expanding over the agricultural fields.
Population increase in this region coincides with the incorporation of the country into the expanding world
economy and the quest for new employment opportunities like those in other large cities. Though much migration
is to cities in the west, Adana has been one of the centres in the middle of the country that received a great
proportion of permanent migration during this period. This resulted in an extensive increase of squatter
settlements. Urban encroachment upon arable lands in the southern part of the city has occurred due to this
movement.
The last development plan for Adana City was brought into force in 1969. The major focus of the plan, which
estimated the population would reach up to 1 million by 1985, was to keep urbanization away from the fertile
Table III. LULC conversion matrix
From 1984 to 2000 Semi-natural Bare-exposed Agriculture Urban Water Total (1984)
Semi-natural 1 961�64 501�75 1 482�03 1 377�27 16�83 5 339�52Bare-exposed 190�08 816�57 303�30 716�85 14�40 2 041�20Agriculture 1 327�23 558�00 8 184�60 2 903�85 29�70 13 003�38Urban 42�21 72�00 28�08 4 360�68 25�47 4 528�44Water 3�24 30�06 16�47 41�58 1 739�25 1 830�60
Total (2000) 3 524�40 1978�38 10 014�48 9 400�23 1 825�65 26 743�14
Figure 7. Amount and the composition of conversions to 2000 LULC classes.
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agricultural lands. However, it was revised several times because the population grew far more rapidly
than expected between 1974 and 1985. Increasing demands for new settlements and the high price of the
land also played an important role in the urbanization as they too led to successive revisions in the develop-
ment plans.
The revised plan put into practice in 1985 was a milestone in the historical development of Adana city because it
allowed high dwelling density. The potential green spaces for recreation and wildlife conservation were built over
following the routine revisions between 1985 and 1992. This trend caused more green spaces, such as woods,
orchards and vineyards, to be urbanized and thus led to diminishing green space.
The northeast and the northwest development sectors, as proposed in the 1992 plan, were designated to protect
productive soils from urbanization. However, the land allocated to building construction in the north gained an
extremely high value, to an extent that cannot be achieved even under the best agricultural practices and
productivity. This phenomenon revealed an increasingly growing pressure for revisions in the development plans
and led not only the non-productive, but also to the productive soils being urbanized due to the high price of the
land.
There has been a significant decrease in the amount of green space available. The 1969 development plan
suggested 7�66 m2 green space per head while the 1992 revision suggested only 3�14 m2. Moreover, further
revisions resulted in even less green space, and only 12 per cent of that suggested in the development plans was
realized by the year 2000, which meant that there was only 0�65 m2 per head.
Figure 8. Spatial distribution of the urbanized areas and ‘from-to’ change categories.
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The Seyhan River divides the city into two geographical and municipal subregions. The western subregion,
namely Seyhan, has a greater population due to recent developments with high dwelling density. Population
density increased from 1600 to 2031 persons km�2 in Seyhan and from 241 to 297 persons km�2 in the eastern
subregion between 1990 and 2000.
LOSS OF SEMI-NATURAL AREAS
Semi-natural areas adjacent to cities are generally considered as reserves for recreation and wildlife conservation.
The development in the north has also taken place on the semi-natural areas: about 1400 ha of semi-natural areas
were replaced by urbanization.
The study area is located in the Mediterranean phytogeographical region, which has high species diversity. The
(semi-)natural areas adjacent to the city are characterized by high////macchia shrubs such as kermes oak (Quercus
coccifera), terebinth tree (Pistacia terebinthus), lentisc (Pistacia lentiscus), sweet bay laurel (Laurus nobilis) and
myrtle (Myrtus communis). Fire pine (Pinus brutia), wild olive tree (Olea europaea var. sylvestris) and carob tree
(Ceratonia siliqua) are the characteristic native tree species. Dwarf shrubs such as sage (Salvia officinalis), rock
rose (Cistus salviifolius), brooms (Genista spp.) and thyme (Thymus capitatus) are also common. Thorny burnet
(Sarcopoterium spinosum) is the commonest pioneer species of the////macchia and is typical to bare areas with
limestone outcrops. The oleander tree (Nerium oleander) and plane tree (Platanus orientalis) are the two dominant
species of the riverbanks. Lever wood (Ostrya carpinifolia), common fig tree (Ficus carica), venus’ hair
(Adiantum capillus-veneris) and common ivy (Hedera helix) are also important species of the watercourses.
The north of the city is a transition zone between the alluvial Mediterranean coast and the Taurus Mountains. Of
vascular plant taxa 415 belonging to 265 genera were identified in this zone. Woody species account for 15 per cent
of total number of the species (Turkmen, 1987). The coastal zone of the province also has great diversity of plant
species. There are 560 plant species reported in the coastal zone, 21 of which are endemics. According to the list of
threatened species in Turkey, as described by Ekim et al. (2000), five of these endemics are ‘critically endangered’
while the number of ‘endangered’ and ‘vulnerable’ species are three and two respectively (Cakan, 2001).
Figure 9. Urban development through the northern fringe of the city (1998).
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LOSS OF AGRICULTURAL PRODUCTION AND FOOD SECURITY
Turkey’s population increased almost 2�5-fold between 1960 and 2000 (Anonymous, 2003a). In this period, the
total cropland area of the country increased by 5�98 per cent to 26 672 000 ha while total production of the primary
crops such as wheat, barley, maize, potatoes, chickpeas, groundnuts, olives, seed cotton, chillies and peppers and
watermelon increased by a factor of 3�45 to 114 006 956 t (FAO, 2003). Per capita arable cropland area in Turkey
was about 0�4 ha in 2000, below the 0�5 ha required for food security and above the average per capita world
cropland of 0�27 ha. (Bio)technological improvements, and increases in the harvest indices of crops, uses of
fertilizers and biocides, irrigation and mechanization have enabled the food supply to keep pace with the
increasing food demand in Turkey (Evrendilek and Ertekin, 2002). The population still increases at a rate of
approximately 18 per cent per year. This means that demand for food will also increase in the future. The growth of
the population is directly linked to urbanization, which is generally responsible for depletion of nearby croplands.
Identification and monitoring of urban and agriculture-related LULC changes are thus of critical importance.
Decline of agricultural production may be avoided by increased food imports, high crop yields through
agricultural intensification and/or expansion of croplands over marginal areas where environmental conditions are
harsh and the productivity is limited. According to the FAO (2003), Turkey’s cereal imports increased almost
three-fold to 2 681 679 t between 1960 and 2000 while exports reached up to 2�5 million t in 2000.
The agricultural intensification that emerged as a result of growing demand for food has been responsible for
concomitant increases in energy- and water-intensive management practices and monoculture in Turkey.
Salinization and waterlogging degraded the productivity of about 2�9 per cent (0�83 million ha) and 6�9 per cent
(1�97 million ha) of croplands in 1980, respectively. Excessive use of groundwater resources resulting not only in
higher pumping costs in the short term, but also depletion of aquifers in the long term is one of the major
consequences of agricultural expansion and intensification (Evrendilek and Ertekin, 2002). The expansion of
croplands has negative impacts on fragile (semi-) natural habitats such as coastal wetlands and sand dunes. Sand
dunes were destroyed due to expansion of agricultural fields and improper management activities in the
southeastern Mediterranean coast of Turkey (Uslu and Bal, 1993; Ozaner, 1996; Yilmaz, 1998).
The total coverage of Adana Province is about 1�4 million ha, 38 per cent (540 000 ha) of which is arable
cropland. The region makes the highest contribution to gross value of Turkey’s agricultural crop production
(5 per cent of the gross value in 1995). The main crops are wheat, cotton, watermelon, citrus crops, soybean and
maize. The fertile alluvial soils and mild climate allow high crop yield twice a year. Wheat production in 1997 was
1�05 million t at 3410 kg ha�1 while cotton and maize productions were 215 438 and 961 463 t respectively
(Anonymous, 2003b and c).
Between 1984 and 2000, the urbanization on the most productive lands that took place was as large as 1555 and
2176 ha for Class I and Class II soils respectively (Table IV). Spatial information about soil productivity with
regard to urbanized areas is given in Figure 10.
Because total acreage of arable croplands is limited and crop yield can be increased only to a certain extent even
under the best agricultural practices protection of the arable lands is crucial to provide self-sufficiency for food.
The need for conservation of croplands in Adana Province may be seen more clearly as the crop yield per unit area
and the coverage of arable lands in the region are considered.
Table IV. The amount of urbanization with regard to soil productivity
Soil classes Productivity Area converted to urbanbetween 1984 and 2000 (ha)
Class I Productive 1555Class II Productive 2176Class III Moderately productive 451Class IV Moderately productive 424Class V Moderately productive 0Class VI Non-productive 265
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The urbanization of Adana city is related to underlying socio-economic facts and the outcome of local policies.
Urbanization tends to grow as the populations increase and the development plans are revised on a routine basis.
Speculative processes that took place during earlier urbanization seem to be neglected by the authorities. Though
the productive soils in Turkey are protected the malpractice of land trade and the unobstructed use of fertile land
have occurred due to lack of monitoring. Timely and reliable data on LULC may facilitate the formation of
integrated resource management policies. A monitoring mechanism must be introduced to better understand the
nature of LULC changes and urbanization.
Land-use policies and regulations related to urbanization must be reviewed and updated to provide a basis for
conservation strategy of arable croplands and rationale for sustainable use of environmental resources. For
example, proposed development areas may be included in environmental impact assessment (EIA) procedure
regardless of the scale of development.
The population increase of the city can be controlled by widespread public campaigns aiming to reduce
migration by means of improved rural infrastructure and services (Gultekin and Ortacesme, 1996). As the primary
basis for ensuring that permitted developments are environmentally sustainable, environmental risk analysis
should be used to meet the integration requirement of the management system (Berberoglu, 2003).
A new revision plan for the Adana city, which takes the northeast and the northwest development sectors into
consideration, is still in the design stage. Areas around the dam lake are the only available semi-natural areas in the
vicinity and they must be kept free from development to provide a large and continuous green space. Green spaces
in the new development areas should be planned in connection with nearby green areas in order to increase their
Figure 10. Spatial distribution of soil productivity in respect to urbanization.
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functionality and aesthetics. The amount of green space suggested in development plans can be increased by
covering its establishment cost out of the land price, given that the land price generally shows a sharp increase as
the land gains excessively high values after development decisions. A certain amount of the extra revenue obtained
from sale of land may be returned to urban system to create more liveable urban environments. This may also help
in diminishing the unrealistic demands for development made by landowners and speculators.
CONCLUSION AND PROSPECTS
Identification of LULC trends is not difficult when pairwise comparison is performed. The time series of a
particular urban area can be analysed to determine trends more accurately and depletion of agricultural and semi-
natural areas adjacent to city can be proven. Two Landsat datasets with 30 m ground resolution were classified and
compared to detect LULC changes in the study area for a 16-year period. The frequency of change detection may
be increased to decadal or half-decadal intervals depending upon the magnitude and extent of the changes. This
study has shown that this is an accurate, rapid and cost-effective method for detecting LULC changes in urban
areas in a rapidly developing country, where areas of high economic and ecological importance around cities are
subject to severe destruction due to an unprecedented increase of urban population.
Information on changes and trends in urban environments makes an invaluable contribution to appropriate
decision-making, which is essential to wise use of the resources and sustainable development. State-wide action is
required in order to determine current and preceding states of LULC in urban environments. Monitoring of
planned or unplanned expansion of urban areas is vital both to assure validation of land-use plans and to prevent
formation of new squatter settlements around cities. Remote sensing offers wide scope to determine LULC
changes. It also provides important savings in the cost of monitoring. Provision of timely, consistent and reliable
LULC information helps in achieving sustainable development of urban environments. Landsat TM and ETMþdatasets allow an efficient LULC mapping and change detection. However, high spatial resolution imagery such as
IKONOS, QuickBird and OrbWiev-3 may be used in the future for finer change detection in urban environments.
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