Evaluation of Land Use Changes using Remote Sensing and GIS in Nazlou Chai sub basin

Document Type : Complete scientific research article

Authors

1 Graduate Student of Water Engineering, Urmia University, Urmia, Iran

2 Associate Professor, Department of Water Engineering, Urmia Lake Research Institute, Urmia University

Abstract

Background and objectives: In recent decades, Urmia Lake has been faced with a significant reduction in the water level.With the continuation of these conditions, the lake will be completely dry and an important environmental issue in the region. Human factors such as land use change are one of the most important factors in the formation and intensification of this crisis. On the other hand, for the optimal management of water and soil and sustainable production in the catchment area, it is necessary to know the exact changes in land use and agricultural land development. The main purpose of this research is to investigate the temporal changes of land use in a 26-year period in the Nazlou Chai sub basin, one of the important sub basins of Urmia Lake catchment area. For this purpose, satellite imagery, GIS tools and land-based data were used to detect and analyze the changes.
Materials and methods: In this study, Landsat satellite images were used in 1992, 2013 and 2018. The first year, before the beginning of the lake water level reduction, was selected in 1992. Considering that 2013 is the beginning of more serious activities for the restoration of Urmia Lake and the policy of banning agricultural development and land use change in this catchment area, this year was selected as the second year. The third year was also selected in 2018 (5 years after the more serious start of development inhibitory policies) to assess the latest state of the land use. Using the necessary pre-processing and classification with the maximum likelihood (supervised) method, land use maps were obtained in Envi version 5.3.
Results: Investigating land use maps shows that during the 21 years (from 1992 to 2013), rainfed 18049 ha, orchards 3997ha, irrigated agriculture 1559ha, stone 11048ha, and salt 639ha have increased. While, the rangeland has decreased by 38001 ha. Also, changes in land use over the past 5 years (from 2013 to 2018) has been faced with the highest increase in orchards (about 7143ha), then, rainfed (about 5444 ha). By contrast, there is a decrease in rangeland (about 2725ha), stone (about 4902ha) and irrigated land (about 5417 ha).
Conclusion: The results showed that a lot of land use changes in the sub basin have occurred during 26 years. In the last 5 years, despite increasing attention to preventing the development of agricultural lands, while continuing this incremental trend, land use change in orchards has had the highest change in the study area (about 50%). This significant increase in the development of orchards after 2013 indicates the need for revision of water and soil management in the basin and attention to effective factors such as integrated management of water and soil resources in the catchment areas and socio-economic issues.

Keywords


 1.Amini, Y., Khoorani, A., Bakhtyarikya, M., and Arekhi, S. 2017. Statistical evaluation of land use and land use transfers in the Uromiyeh watershed basin using transfer matrix, Gorgan, J. Geograph. Reg. Dev.28: 1. 171-192. (In Persian)
2.Birhanu, A., Masih, I., van der Zaag, P., Nyssen, J., and Cai, X. 2019. Impacts of land use and land cover changes on hydrology of the Gumara catchment, Ethiopia. 4th International Conference on Ecohydrology, Soil and Climate Change. 109: 1-78.
3.Campbell, J.B., and Wynne, R.H. 2011. Introduction to Remote Sensing. The Guilford Press. New York. 662p.
4.Choudhary, K., Boori, M.S., and Kupriyanov, A. 2018. Spatial modelling for natural and environmental vulnerability through remote sensing and GIS in Astrakhan, Russia, Egypt. J. Rem. Sens. Space Sci. 21: 2. 139-147.
5.Elagouz, M.H., Abou-Shleel, S.M.,Belal, A.A., and El-Mohandes, M.A.O. 2018. Detection of land use/cover change in Egyptian Nile Delta using remote Sensing, Egypt. J. Rem. Sens. Space Sci. 22: 1. 1-126.
6.El-Zeiny, A., and El-Kafrawy, S. 2017. Assessment of water pollution induced by human activities in Burullus Lake using Landsat 8 operational land imager and GIS, Egypt. J. Rem. Sens. Space Sci.20: 1. 49-56.
7.Farokhnia, A., Morid, S., and Delavar, M. 2018. Study of Land Use Change in the Urmia Lake Water Shed Based on Landsat-TM Images and Pixel-Based and Object-Based Classification Techniques, Iran. J. Irrig. Drain. 4: 12. 823-839.
(In Persian)
8.Fathian, F., Morid, S., and Arshad, S. 2013. Trend Assessment of Land Use Changes Using Remote Sensing Technique and its Relationship with Streamflows Trend (Case Study: The East Sub-Basins of Urmia Lake). J. Water Soil. 27: 3. 642-655. (In Persian)
9.Gadrani, L., Lominadze, G., and Tsitsagi, M. 2018. F assessment of landuse/ landcover (LULC) change of Tbilisi and surrounding area using remote sensing (RS) and GIS. Annals of Agrarian Sciences. 16: 2. 163-169.
10.Godosi, M., Delavar, M., and Morid, S. 2014. The Effect of Land Use Land Changes on Aji Chai Basin Hydrology and its Entrance to Lake Urmia. Iran.J. Water Soil Res. 45: 2. 123-133.(In Persian)
11.Guo, Y., and Zeng, F. 2012. Atmospheric correction comparison of SPOT-5 image based on model FLAASH and model QUAC. International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences. 7: 7-11.
12.Haque, M.I., and Basak, R. 2017. Land cover change detection using GIS and remote sensing techniques: A spatio-temporal study on Tanguar Haor, Sunamganj, Bangladesh. Egypt. J. Rem. Sens. Space Sci. 20: 2. 251-263.
13.Jalalian, H., Darouei, P., Karimi, Kh., and Darouei, P. 2015. Study of land use and vegetation changes in Urmia and surrounding area using GIS during 2001-2013. Tehran, Twenty-second National Geomatical Conference. (In Persian)
14.Kachhwala, T.S. 1985. Temporal monitoring of forest land for change detection and forest cover mapping through satellite remote sensing. In: Proceedings of the 6th Asian Conference on Remote Sensing. National Remote Sensing Agency, Hyderabad, Pp: 77-83.
15.Kangabam, R.D., Selvaraj, M., and Govindaraju, M. 2018. Assessment of land use land cover changes in Loktak Lake in Indo-Burma Biodiversity Hotspot using geospatial techniques. Egypt. J. Rem. Sens. Space Sci.
21: 3. 201-430.
16.Kiggundu, N., Anaba, L.A., Banadda, N., Wanyama, J., and Kabenge, I. 2018. Assessing Land Use and Land Cover Changes in the Murchison Bay Catchment of Lake Victoria Basin in Uganda, J. Sust. Dev. Publis. Can. Center Sci. Edu. 11: 1. 44-55.
17.Marina, R.M., and Bogdan-Andrei, M.B. 2016. Mapping Land Cover Using Remote Sensing Data and GIS Techniques: A Case Study of Prahova Subcarpathians. International Conference - Environment at a Crossroads: SMART approaches for a sustainable future. Procedia Environmental Sciences.32: 1. 244-255.
18.Mohammady, M., Moradi, H.R., Zeinivand, H., and Temme, A.J.A.M. 2015. A comparison of supervised, unsupervised and synthetic land use classification methods in the north of Iran, Inter. J. Environ. Sci. Technol.12: 5. 1515-1526.
19.Monserud, R.A., and Leemans, R. 1992. Comparing global vegetation maps with the Kappa statistic. International Institute for Applied Systems Analysis a 14-2361 Laxenburg a Austria.
20.Pal, S., and Ziaul, S.K. 2017. Detection of land use and land cover change and land surface temperature in English Bazar urban centre, Egypt. J. Rem. Sens. Space Sci. 20: 1. 125-145.
21.Rawat, J.S., and Kumar, M. 2015. Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. Egypt. J. Rem. Sens. Space Sci. 18: 1. 77-84.
22.Rwanga, S., and Ndambuki, J.M.2017. Accuracy Assessment of Land Use/ Land Cover Classification Using Remote Sensing and GIS. Inter. J. Geosci. 8: 4. 611-622.
23.Salehi Bavil, S., Zeinalzadeh, K., and Hessari, B. 2017. The changes in the frequency of daily precipitation in Urmia Lake basin. Theoretical and Applied Climatology. 133: 1-2. 205-214.
24.Schilling, K.E., Chan, K.S., Liu, H.,and Zhang, Y.K. 2010. Quantifying the effect of land use land cover change on increasing discharge in the upper Mississippi River. J. Hydrol.387: 3-4. 343-345.
25.Shadkam, S., Ludwig, F., Oel, P.V., Kirmit, C., and Kabat, P. 2016. Impacts of climate change and water resources development on the declining inflow into Iran's Urmia Lake. J. Great Lake Res. 42: 5. 942-952.