The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008
channels of the Landsat satellite sensor images were used for
1987, 1997 and 2007 years. Density slice algorithm was used
for classification of the image which is Landsat satellite’s
thermal channel. Little ranges were used for digital number.
Moreover, classification of the urban, maximum likelihood
method which is a supervised control system was used. More
than 30 classes were chosen at the beginning of the study for the
classification of the urbanization. Then, the number of the
classes was decreased to 5 basic classes and these basic classes
have been shown in different colors. In addition, meteorological
data which are temperature, precipitation, humidity, for the
same period which are 16 July 1987, 18 July 1997 and 28 June
2007, were used. The images that we have are classified for
thermal channel; also the temperature knowledge and the
coordinate knowledge of the stations have been added to this
classification. Urban heat islands were created by the
meteorological data and coordinate data for Istanbul. Different
major centers for urban heat island are found in Istanbul. Our
major finding is that expansion of urban areas in Istanbul lead
growth in thermal radiation of land surface in highly dense areas.
This is mainly due to unplanned and unorganized rapid
urbanization.
2. STUDY AREA AND DATA
2.1 Study Area
The city of Istanbul, which is located at 41,01 °N, 28,58 °E in
Asia and Europe, is the largest city of Turkey with a population
of over 12,5 million (DIE, 2008). Istanbul’s population was
nearly doubled in 20 years between 1980 and 2000, the fastest
growth period. For the period between 1990 and 2000, the
population growth rate of Istanbul is 29,64% for urban parts and
81% for rural parts of the city. Total population growth rate is
33.1% for the same period. In near future its population is
expected to reach 20 million by 2030 (Turkstat, 2008). The
Bosphorus, a 30-km strait that connects the Black Sea with the
Sea of Marmara, is considered to be the boundary between
Europe and Asia, and the urban Istanbul is located on both sides
of the southern half of the strait. The north of the city towards
the Black Sea is mostly covered by protected forest patches, and
the expansion of the city in that direction is mostly confined to
along the Bosphorus. The most densely populated parts of the
city lie in the south along the Sea of Marmara.
UHI in Istanbul has been previously studied by several
researchers using long-term temperature data from
meteorological stations within and around the city. In this work,
we use the thermal remote sensing to study of urban climate in
Istanbul from 1987 to 2007 for the first time. Thermal and other
channels of the Landsat satellite sensor images were used for
1987, 1997 and 2007 years.
2007 Landsat 5 TM
Figure 1. Study area, Istanbul 2007 (RGB : 321)
2.2 Landsat Data
Landsat Thematic Mapper satellite’s images have the 120m
spatial resolution of thermal infrared band, and the other bands
have 30m spatial resolution. The dates of the images are;
25 September 1987
18 July 1997
28 June 2007
2.3 Meteorological Data
Temperature data which are belongs to 28 June, 2007, provided
by meteorological stations in Istanbul, are used. There are 20
meteorological stations in Istanbul, some of them are belong to
Turkish state meteorological service and some of them are
automatic weather observation stations (AWOS) which are
belong to the greater Istanbul Municipality. The automatic
weather observation stations are started up in 2006 in Istanbul.
The stations are Gatalca, Kumkoy, Sanyer-Kire9bumu, Goztepe,
§ile, Bahfekoy, Florya, Kartal, Kandilli, Istanbul University,
§ile, Kartal, Gebze, Samandira stations, Atatiirk and Sabiha
Gok<?en Airport stations, £avu§ba§i, Omerli, Btiyiikada,
Olimpiyat, Aksaray, Terkos, AKOM, £anta, Kamiloba,
Hadimkoy stations.
3. METHODOLOGY
3.1 Classification
3.1.1 Urban Classification
Firstly, 1, 2, 3, 4, 5 and the 7. bands of the Landsat 5 TM
satellite are classified to show the urbanization in Istanbul for
last 20 years. Maximum Likelihood classification method,
which is a supervised method, is used. More than 30 classes
were chosen at the beginning of the study for the classification
of the urbanization. Then, the number of classes was decreased
to 7 basic classes which are urban, road, agriculture, sea, lakes,
forest, sand, and the eighth is cloud. These basic classes have
been shown in different colors.
First image of the classification is shown in figure 2, and it
belongs to 25 September, 1987. This classification has 8 classes
which are urban area, agricultural area, forest, sea, lake, sand
area, roads and clouds. Figure 3 belongs to 18 July, 1997
image’s classification. There is no cloud in this classification,
and it has 7 classes which are urban area, roads, forest,
agricultural area, sea, lake and sand. Classification of the 28
June 2007 is shown in figure 4 as the third image of the
classification. This classification besides cloud classification