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Land Pattern Study over the Time of Islamabad using Remote Sensing and GIS SHAHID K., SHAHID I. & SAJJAD A. Institute of Geographical Information Systems (IGIS), National University of Sciences and Technology (NUST) Sector # H-12, Islamabad, Pakistan [email protected], [email protected] Abstract: With the passage of time and rapid development in industry, technology, and growing population, our environment is being affected badly. The main issues are sprawling of urban areas and environmental degradation as result deforestation and land patterns are changing rapidly. Like all developing countries, in Pakistan, the process of industrialization are expanding rapidly as a result built up area is also increasing rapidly and cultivated area is decreasing as well as deforestation is increasing. There is a strong need to study the land patterns and mapping over the time using Satellite Remote Sensing and GIS. The main objective of this study was to study the overall change in land pattern of Islamabad for years 2000-2008. The satellite images of Land Sat 7 Enhanced Thematic Mapper Plus (ETM+) of years 2000, 2005 and 2008 were used for this study. Images were preprocessed and supervised classification was performed to develop the land cover maps of different years. Accuracy assessment was done and change in the study area over the time was calculated. The analysis showed that scrub land and forest cover were decreased while water bodies, built up area and barren land increased from the year 2000 to 2008. Keywords: Land pattern, Land cover, Land use, Change detection. 1. Introduction. With the passage of time and rapid development in industry, technology and growing population, our environment is being affected badly. The main issues are sprawling of urban areas and environmental degradation as a result deforestation and land patterns are changing rapidly which further affecting whole environmental setup, place for living is shrinking and so that different socio economic problems are rising.[1]. Now this is the time to check our development plans and study these issues seriously so that we would be answerable for future generations. In this regard different technologies are being used successfully. Satellite Remote Sensing along with Geodraphic Information system (GIS) is a perfect tool to identify, locate and map various types of lands, landforms, landscapes, environmental impact assessment and urban sprawl monitoring etc.[9],[10],[12] Like all developing countries, in Pakistan, the process of industrialization is expanding rapidly as a result built up area is also increasing rapidly. In aresult cultivated area is decreasing as well as deforestation is increasing.[6] Although now the scene is not too much panic but in future it might be dangerous. To make our resources more sustainable the use of satellite remote sensing and GIS can help in this respect a lot. There is a strong need to study the land patterns and mapping over the time using Satellite Remote Sensing and GIS. The main objective of this study was to study the overall change in land pattern of Islamabad over eight years. Study area for this research chosen is Zone 1,2 and 3 of Islamabad with area of 466.02SqKm while total area of Islamabad is 906.00 Sq.km with location of 33.49°- 33.80° N and 72.77°-73.33° E and population of 805235 persons according to 1998 census.[6]. 2. Materials and Methods [1] Data Acquisition The satellite images belong to Land Sat 7 Enhanced Thematic Mapper Plus (ETM+) of years 2000, 2005 and 2008 were used for this study. The (ETM+) instrument is a fixed "whisk-broom", eight-band, multispectral scanning radiometer capable of providing highresolution imaging information of the Earth's surface. Some technical details are given as Sensor type: upto-mechanical Sensor Information Spatial Resolution

30 m (60 m - thermal, 15-m pan)

Spectral Range

0.45 - 12.5 µm

Number of Bands

8

Temporal Resolution

16 days

Image Size

183 km X 170 km

Swath Programmable

183 km yes Table 1. Sensor Information

[2] Data Preparation and analysis: After acquisition the data was prepared by layer stacking of images, extraction of area of interest (AOI) and image enhancement. The data was analyzed with the help of supervised classification of all images from 2000-2008 applying same sampling on all images. The digital subtraction of all classified images was done for change analysis. Mapping of all images was done in GIS environment and statistical analysis of classified images was performed. The following flow chart shows overall methodology.

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Fig. 1 Methodology 3. Results and Discussions: In year 2000, the area covered (in hectares) by the selected categories was as under:

Fig. 2 Land Pattern map of Islamabad Zone 1,2,3 in Year 2000 . Statistics in 2000

Area (Hectares)

Built-up Area

7504.92

Forest Area

10376.60

Scrub Land

15379.20

Barren Land

11809.40

Water Area

334.71

Total area 45404.83 Table 2. Area Covered by Different Land covers in Islamabad in Year 2000

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Figure3. Area Covered by Different Land covers in Islamabad in Year 2000 And the situation was changed in 2005 shown in the following map, table and pie chart.

Fig. 4 Land Pattern map of Islamabad Zone 1,2,3 in Year 2005 .

Statistics in 2005

Area (Hectares)

Built-up Area

9747.27

Forest Area

8958.42

Scrub Land

15326.10

Barren Land

10875.50

Water Area

497.61

Total area 45404.90 Table 3. Area Covered by Different Land covers in Islamabad in Year 2005

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Figure5. Area Covered by Different Land covers in Islamabad in Year 2005 Further the situation was changed in Year 2008 shown in the following map, table and pie chart

Fig. 6 Land Pattern map of Islamabad Zone 1,2,3 in Year 2008 .

Statistics in 2008

Area (Hectares)

Built-up Area

10622.78

Forest Area

8382.16

Scrub Land

13528.3

Barren Land

12395.5

Water Area

475.31

Total area 45404.05 Table 4. Area Covered by Different Land covers in Islamabad in Year 2008

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Fig. 7 Area Covered by Different Land covers in Islamabad in Year 2008 Here this can be seen that built up area that was only 7504.92 Hectares in Year 2000 was increased to 9747.27 Hectares in year 2005 with an increase of 29.87% and in year 2008 it became 10622.78 Hectares with an increase of 41.54% with respect to year 2000 and 8.98% with respect to year 2005. This shows that the demand for residential and commercial areas was increased rapidly. As the built-up area was increased, in the result the area covered by forests decreased. In year 2000 10376.60 Hectares were under forest cover that became 8958.42 Hectares in year 2005 with a decrease of 13.66% and in year 2008, 8382.16 Hectares with a decrease of 19.22% with respect to year 2000 and 6.43% with respect to year 2005. Same was the case with scrub land, in year 2000 total area covered by scrub land was 15379.20 Hectares that became 15326.10 hectares with a decrease of 0.34% and in year 2008 it became 13528.30 Hectares with a decrease of 12.03% with respect to year 2000 and 11.73% with respect to year 2005. But the case was different with barren land. In year 2000 it was 11809.40 Hectares that became 10875.50 Hectares in year 2005 with a decrease of 7.91%, but it increased in year 2008 to 12395.50 Hectares with an increase of 4.96% with respect to year 2000 and 13.97% with respect to year 2005. The situation of area covered by water bodies was entire different. In year 2000 it was 334.71 Hectares that became 497.61 Hectares in 2005 with an increase of 48.67% and 475.31 Hectares in year 2008 with an increase of 42.006% with respect to year 2000, but decreased by 4.48% with respect to year 2005. Now step by step monitoring of change in land pattern over the time. Overall change of Land patterns 2000-2005 in Islamabad

Fig. 8 Change Detection map of Islamabad for Years 2000-2005 Overall change of Land patterns 2005-2008 in Islamabad

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Fig. 9 Change Detection map of Islamabad for Years 2005-2008 Overall change of Land patterns 2000-2008 in Islamabad

Fig. 10 Change Detection map of Islamabad for Years 2000-2008 Category

Area 2000 (Hectares)

Area 2005 (Hectares)

Area 2008 (Hectares)

Built-up Area

7504.92

9747.27

10622.78

Forest Area

10376.6

8958.42

8382.16

Scrub Land

15379.2

15326.1

13028.3

Barren Land

11809.4

10875.5

13395.5

Water Area

334.71

497.61

475.31

Total area 45404.83 45404.9 45404.05 Table 5. Overall change in Different Land covers in Islamabad from Years 2000- 2008 International Conference of GIS-Users, Taza GIS-Days, May 23-24, 2012 Proceeding Book

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Overall Changing Analysis (2000-2008)

Area (Hectares)

Change in Built up Area

3117.86 +

Change in Forest Cover

1994.44 -

Change in Scrub Land

1850.9 -

Change in Barren Land

586.1 +

Change in Water Bodies Area 140.6 + Table 6. Overall change analysis of Islamabad from Years 2000- 2008

Fig. 11. Overall change in Different Land covers in Islamabad from Years 2000- 2008 4. Conclusion. The above study shows that changes have been occurred in the study area over the time. As the urban expansion is the mandatory outcome of urbanization and study area is the capital of the country that means there is rapid expansion in built-up area over the time. Along this areas covered by water bodies and barren land have also been increased over this period of eight years while areas covered by forests and scrub land have been decreased during this period. Suggestions. The following suggestions are recommended after thsi study: (1). Although five major categories of land pattern have been studied but it should be expanded to more classes for better analysis over the time. (2). More recent images of higher resolution should be used for such type of study to get better results. (3). This study should be used for future planning and development of Islamabad. References [1] Begum N, Narayana.J and Kumar S.L.A."Land use/ Land cover changes in the catchment of water bodies in and around Devangere city, Karnataka", international Journal of ecology and environmental sciences. (2010), 36, (4), (pp277-280). [2] Bisht, B. S. and Tiwari. P.C., "Land-use planning for sustainable resource development in Kumaun Lesser Hmlalaya-a study of the Gomli watershed", International journal of Sustainable Development and World Ecology, (1996). 3 (pp 23-34). [3] Chomitz.K.M, and Gray.D.A, "Roads, land use and deforestation: a spatial model applied to Belize".World Bank Econ Rev (1996), 10 (3) :.( pp 487-512). [4] DeNijs.T.C.M, DeNiet R, and Crommentuijn L "Constructing land-use maps of the Netherlands in 2030".J Environ Manage (2004), 72(1–2): (pp 35–42). [5] Geurs K and Van Wee B "Ex-post evaluation of thirty years of compact urban development in the Netherlands". Urban Studies (2006), 43(1): (pp 139–160). [6] http://www.census.gov.pk [7] Joshi, S.C., Joshi, D.R. and Dani, D.D., "Kumaun Himalaya, A geographic perspective on resource development". Gyanodaya Prakashan, Nainital (U, P.) India. (1983).

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189 [8] Lambin EF, Geist HJ, and Lepers E, "Dynamics of land-use and land-cover change in tropical regions" .Ann Rev Environ Resour, (2003), 28: (pp 25–24). [9] Luong. P.I'. "The detection of land-use/land cover changes using remote sensing and GIS in Vietnam". Asian Pacific Remote Sensing, (1993), I.5 (2): (pp 63 -66). [10] Mahesh Kumar Jat, P.K. Garg and Deepak Khare , "Monitoring and modeling of urban sprawl using remote sensing and GIS techniques", International Journal of Applied Earth Observation and Geoinformation, (2007), 10, (pp 26–43). [11] Ritsema van Eck J and Koomen E "Characterizing urban concentration and land-use diversity in simulations of future land use". Ann Reg Sci (2008). [12] Sharma.A.K, and Joshi.V, "Land Use Pattern mapping using Remote Sensing and GIS in Gangtok area,Sikkim Himalaya,India", Disaster Management Faculty- Sikkim India. [13] Verburg P.H, Schot P.P, Dijst MJ, and Veldkamp A, "Land use change modelling: current practice and research priorities". Geojournal (2004) 61: (pp 309–324). [14] Whyte, R.O., "Evaluation of land-use in south western Asia .A History of Land- use in Arid Regions", (Eds. LD, Stamp) UNESCO, (1961).

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yes. Table 1. Sensor Information. [2] Data Preparation and analysis: After acquisition the data was prepared by layer stacking of images, extraction of area of interest (AOI) and image enhancement. The data was analyzed with the help of supervised classification of all images from 2000-2008 applying same sampling on all.

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