The Spatial Analysis Of The Terrain Impact On Agricultural Land Use By Using Gis And Rs Techniques: A Case Study Of Soran District-Erbil-Iraq

Hakan   OĞUZ; Tarq K.  Hassan; Farhad O.  Omar

doi:10.21271/zjhs.24.6.20

Authors

Hakan OĞUZ Department of Environmental Engineering, Kahramanmaras Suzhou University, Turkey
Tarq K. Hassan Department of Geography, Salahaddin University-Erbil-Iraqi Kurdistan
Farhad O. Omar Erbil Polytechnic University- Iraqi Kurdistan

DOI:

https://doi.org/10.21271/zjhs.24.6.20

Keywords:

Terrain, Slope, Elevation, Agriculture land use, Pasture

Abstract

In this study, Soran District was selected as study area due to the fact that terrain elevation ranges between 361m and 3406m with many land use/land covers (LULC) types. The main objective of this study was to determine the impact of terrain over agricultural land use using GIS and RS techniques. Landsat 8 satellite imagery and DEM compose the main data for this study. Slope and elevation maps were derived from DEM using ArcGIS software and classified into six categories according to Zuidam Classification System. ERDAS Imagine software was also used to classify Landsat 8 satellite imagery in order to derive the LULC types of the study area. Slope, elevation, and LULC maps were overlaid on top of each other to determine the spatial relationship between slope, elevation and agricultural land use, pasture and forest. The final results indicate that there is a negative relationship between agricultural land use and slope. The steeper slope that area has, the less likely that agricultural land use will occur. 70% of the agricultural land use has slope of 0-18 degrees. On the other hand, there is a strong relationship between slope and forest. The more sloped the area is, the more likely to be the forest. It was determined that 80% of the forest in the study area has slope of 18-24 degrees. It was also found that 72% of the pasture has slope of 12-24 degrees. It was also found that 84% of the study area's elevation was over 900m. Elevation has also negative relationship with agricultural land use. This is the main reason that only 7% of the study area is used as agricultural land use. Results also indicate that 30% and 14% of the study area are pasture and forest

References

Abdalla. S., B., 2014-2015 Using Remote Sensing and Geographical Information Systems to Assess and Monitoring the Environment or Land use/ Land Cover Changes. A Case study of Southern Iraqi Marshlands.

Al-Azzawi, A., A., al-A. and Faisal, R., M, 2013.the spatial relationship between topographic characters and spatial distribution of natural pastures in Komel river in Northern Iraq by using GIS and RS. Journal of Education and science - Volume (20), number (1).

AL-Hadad, H., Y., H. (2000). Atlas natural resources of the province of Erbil, where land management for agricultural purposes "Cartography study - geographic". University of Salahaddin, Erbil, Iraq, Unpublished. (In Arabic)

Alqurashi, A. F. and Kumar, L., 2014. Land use and land cover change detection in the Saudi Arabian desert cities of Makkah and Al-Taif using satellite data. Advances in Remote Sensing, 3(03): 106.

Ceballos-Silva A. and López-Blanco J. (2003a). Evaluating biophysical variables to identify suitable areas for oat in central Mexico: A multi-criteria and GIS approach. Agricuture Ecosystem and Environment Journal, 95, 371-377.

Chabala, L.M., Mulolwa, A. and Lungu, O., Landform classification for digital soil mapping in the Chongwe - Rufunsa area, Zambia.

Chapman, L. and Thornes, J.E., 2003. The use of geographical information systems in climatology and meteorology. Progress in physical geography, 27(3), pp.313-330.

Congalton, R.G., 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote sensing of environment, 37(1): 35-46.

De Winnaar, G., Jewitt, G.P.W. and Horan, M., 2007. A GIS-based approach for identifying potential runoff harvesting sites in the Thukela River basin, South Africa. Physics and Chemistry of the Earth, Parts A/B/C, 32(15), pp.1058-1067.

Gautam, A.P., Webb, E.L. and Eiumnoh, A., 2002. GIS assessment of land use/land cover changes associated with community forestry implementation in the Middle Hills of Nepal. Mountain Research and Development, 22(1), pp.63-69.

Getahun, K., Heluf, G., Tena, A., Megersa, O. and Hans, H., 2013. Land use changes induced by irrigation development in the Fincha'a sugar estate, Blue nile basin, Ethiopia. Journal of Biodiversity and Environmental Sciences,3(11), pp.31-47.

Ghodieh, M.M., (1994). Land use mapping of selected areas of county Durham, north-east England, by satellite remote sensing and field survey methods (Doctoral dissertation, Durham University).

Government of the Kurdistan Region of Iraq, the Ministry of agriculture and water resources, groundwater Directorate of Erbil 2014.

Grigg, D., 2003. An introduction to agricultural geography. Routledge.

Harris, A., Bryant, R.G. and Baird, A.J., 2005. Detecting near-surface moisture stress in Sphagnum Spp. Remote Sensing of Environment, 97(3), pp.371-381.

Hassan. Kh.T. 2013.Spatial Analysis of the Impact of the Terrain on the Uses of Agricultural land using modern Technologies in Shaqlawa District in Erbil. University of Mosul College of Education. Iraq, Unpublished. (In Arabic)

Herold, M., Couclelis, H. and Clarke, K.C., 2005. The role of spatial metrics in the analysis and modeling of urban land use change. Computers, Environment and Urban Systems, 29(4), pp.369-399.

Jensen, J.R. (2005). Introductory Digital Image Processing: A Remote Sensing Perspective. 3rd ed. Upper Saddle River, NJ: Pearson Prentice Hall

Jerjis, A. K., 2010.The effect of terrain factor curvature of the natural spatial distribution of the plant in the Atrush Dohuk area. Iraq .by using. GIS and RS. Journal of Education and science - Volume (17), number (4).

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