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Assessment of Urban Sprawl on Agricultural Soil of Northern Nile Delta of Egypt Using RS and GIS

Adel SHALABY,  Farahat Saad MOGHANM

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文章导航 > Chinese Geographical Science  > 2015 >  25(3): 274-282
Adel SHALABY, Farahat Saad MOGHANM. Assessment of Urban Sprawl on Agricultural Soil of Northern Nile Delta of Egypt Using RS and GIS[J]. 中国地理科学, 2015, 25(3): 274-282. doi: 10.1007/s11769-015-0748-z
引用本文: Adel SHALABY, Farahat Saad MOGHANM. Assessment of Urban Sprawl on Agricultural Soil of Northern Nile Delta of Egypt Using RS and GIS[J]. 中国地理科学, 2015, 25(3): 274-282. doi: 10.1007/s11769-015-0748-z
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Adel SHALABY, Farahat Saad MOGHANM. Assessment of Urban Sprawl on Agricultural Soil of Northern Nile Delta of Egypt Using RS and GIS[J]. Chinese Geographical Science, 2015, 25(3): 274-282. doi: 10.1007/s11769-015-0748-z
Citation: Adel SHALABY, Farahat Saad MOGHANM. Assessment of Urban Sprawl on Agricultural Soil of Northern Nile Delta of Egypt Using RS and GIS[J]. Chinese Geographical Science, 2015, 25(3): 274-282. doi: 10.1007/s11769-015-0748-z
shu

Assessment of Urban Sprawl on Agricultural Soil of Northern Nile Delta of Egypt Using RS and GIS

doi: 10.1007/s11769-015-0748-z
  • 1.

    National Authority for Remote Sensing and Space Sciences, Cairo 1564, Egypt;

  • 2.

    Soil and Water Science Department-faculty of Agri-cultural-Kafrelsheikh University, Kafr El-Sheikh 33511, Egypt

Assessment of Urban Sprawl on Agricultural Soil of Northern Nile Delta of Egypt Using RS and GIS

  • 1.

    National Authority for Remote Sensing and Space Sciences, Cairo 1564, Egypt;

  • 2.

    Soil and Water Science Department-faculty of Agri-cultural-Kafrelsheikh University, Kafr El-Sheikh 33511, Egypt

  • 摘要: Urban sprawl is threatening the limited highly fertile land in the Nile delta of Egypt. Landsat TM satellite images of 1984, 1992 and ETM+ of 2006 have been used to study the impact of urban sprawl on agricultural land of the Northern Nile delta, Egypt. Visual interpretation using on screen digitizing and change detection techniques were applied for monitoring the urban sprawl. Combining the land capability map and the urban thematic layer using GIS made it possible to point out the risk of urban expansion on the expense of the highly capable soil class. The results show that a total expansion of urban area amounted to 689.20 km2 (6.3% of total area) during the study period 1984-2006. The urban expansion during the 1984-2006 was on the expense of the most fertile soils where, the high capable soils (Class I) lost 247.14 km2 (2.26 % of total area) and the moderate capable soils lost 32.73 km2 (0.3% of total area), while the low capable soils lost only 57.39 km2 (0.53% of total area). The urban encroachment over the non capable soils was very limited during the study period 1984-1992, where 7.33 km2 only was lost. The pattern of urban sprawl has been changed during the 1992 to 2006 whereas much larger area (50.64 km2) of the non capable soils was converted to urban. It can be concluded that the urban sprawl is one of the dominant degradation process on the land of Nile Delta.
    Abstract: Urban sprawl is threatening the limited highly fertile land in the Nile delta of Egypt. Landsat TM satellite images of 1984, 1992 and ETM+ of 2006 have been used to study the impact of urban sprawl on agricultural land of the Northern Nile delta, Egypt. Visual interpretation using on screen digitizing and change detection techniques were applied for monitoring the urban sprawl. Combining the land capability map and the urban thematic layer using GIS made it possible to point out the risk of urban expansion on the expense of the highly capable soil class. The results show that a total expansion of urban area amounted to 689.20 km2 (6.3% of total area) during the study period 1984-2006. The urban expansion during the 1984-2006 was on the expense of the most fertile soils where, the high capable soils (Class I) lost 247.14 km2 (2.26 % of total area) and the moderate capable soils lost 32.73 km2 (0.3% of total area), while the low capable soils lost only 57.39 km2 (0.53% of total area). The urban encroachment over the non capable soils was very limited during the study period 1984-1992, where 7.33 km2 only was lost. The pattern of urban sprawl has been changed during the 1992 to 2006 whereas much larger area (50.64 km2) of the non capable soils was converted to urban. It can be concluded that the urban sprawl is one of the dominant degradation process on the land of Nile Delta.
  • [1] Aboel Ghar M, Shalaby A, Ryutaro T, 2004. Agricultural land monitoring in the Egyptian Nile Delta using Landsat data. International Journal of Environmental Studies, 1(6):651-657.
    [2] Almutairi A, Warner A T, 2010. Change detection accuracy and image properties:a study using simulated data. Remote Sensence, 2(1):1508-1529. doi: 10.3390/rs2061508
    [3] ASRT (Academy of Scientific Research and Technology), 1982. Soil Map of Egypt. Final Report, Academy of Scientific Research and Technology (ASRT) Cairo, Egypt.
    [4] Belal A A, Moghanm F S, 2011. Detecting urban growth using remote sensing and GIS techniques in Al Gharbiya governorate, Egypt. Egyptian Journal of Remote Sensing Space Science, 14:73-79.
    [5] CAPMAS (Central Agency for Public Mobilization and Statistics), 2009. Statistical Year Book. Central Agency for Public Mobilization and Statistics (CAPMAS), Annual Report July 2009, Cairo, Egypt.
    [6] Deng J, Wang K, Li J, Feng X et al., 2005. Integration of SPOT-5 and ETM+ images to detect land cover change in urban environment. IEEE International Geoscience and Remote Sensing Symposium, Seoul, July 25-29, 2005.
    [7] Deng, J S, Wang K, Deng Y H et al., 2008. PCA-based land-use change detection and analysis using multitemporal and multisensor satellite data. International Journal of Remote Sensing, 29(16):4823-4838.
    [8] El Bastawesy M, Khalaf F, Arafat F, 2008. The use of remote sensing and GIS for the estimation of water loss from Tushka lakes, South Western Desert, Egypt. Journal of African Earth Sciences, 52(3):73-80.
    [9] El Bastawesy M, Ramadan Ali R, Faid A et al., 2013a. Assessment of waterlogging in agricultural megaprojects in the closed drainage basins of the western desert of Egypt. Hydrology and Earth System Sciences, 17:1493-1501. doi: 10.5194/hess-17-1493-2013
    [10] El Bastawesy M, White K H, Gabr S, 2013b. Hydrology and geomorphology of the upper white Nile Lakes and their relevance for water resources management in the Nile Basin. Hydrological Processes, 27:196-205. doi: 10.1002/hyp.9216
    [11] FAO (Food and Agriculture Organization), 1985. Land Evaluation for Irrigated Agriculture. Soils bulletin 55, FAO, Rome.
    [12] Foody G M, Boyd D S, 1999. Detection of partial land cover change associated with the migration of inner-class transitional zones. International Journal of Remote sensing, 20:2723-2740.
    [13] Hulme M, Marche R, 1990. Global Mean Monthly Humidity Sur-faces for 1930-1959, 1960-1989 and Projected for 2020. UNEP/GEMS/GRID. Climatic Research Unit, University of East Anglia, Norwich, England.
    [14] Kumar A, Rajput P S, 2013. Changing Scenario of Land Use/Land Cover of Chitrakoot Area. District Satna, Madhya Bharti, LVII, 62-66.
    [15] Khorram S, Biging G S, Chrisman N R et al., 1999. Accuracy assessment of remote sensing-derived change detection. American Society of Photogrammetry and Remote Sensing, Bethesda:Maryland, 64P.
    [16] Lambin E F, Ehrlich D, 1997. Land-cover changes in Sub- Saha-ran Africa (1982-1991):application of a change index based on remotely sensed surface temperature and vegetation indices at a continental scale. Remote Sensing of Environment, 61(2):181-200. doi: 10.1016/S0034-4257(97)00001-1
    [17] Lenney M P, Woodcock C E, Collins J B et al., 1996. The status of agricultural lands in Egypt:the use of Multi temporal NDVI features derived from landsat TM. Remote Sensing of Environ-ment, 56(1):8-20. doi: 10.1016/0034-4257(95)00152-2
    [18] Li X, Yeh A, 2004. Analyzing spatial restructuring of land use patterns in a fast growing region using remote sensing and GIS. Landscape and Urban Planning, 69(4):335-354.
    [19] Lillesand T M, Kiefer RW, 1994. Remote Sensing and Image Interpretation. New York:John Wiley and Sons.
    [20] Lu D, Mausel P, Brondizio E et al., 2004. Change detection techniques. International Journal of Remote Sensing, 25(12):2365-2407.
    [21] Lunetta R S, Elvidge C D, 1998. Remote Sensing Change Detection. Michigan:Ann Arbor Press, pp. 123-135.
    [22] Maldonado F D, dos Santos J R, de Carvalho V C, 2002. Landuse dynamics in the semi-arid region of Brazil (Quixaba, PE):characterization by principal component analysis (PCA). International Journal of Remote Sensing, 23(23):5005-5013.
    [23] Mendoza J E, Etter R, 2002. Multitemporal analysis (1940- 1996) of land cover changes in the southwestern Bogota highplain (Colombia). Landscape and Urban Planning, 59(3):147-158.
    [24] Milne A K, 1988. Change detection analysis using Landsat im-agery a review of methodology. Proceedings of IGARSS 88, Symposiums, Edinburgh, Scotland, 13-16 September 1988. pp. 541-544.
    [25] Muchoney D M, Haack B, 1994. Change detection for monitoring forest defoliation. Photogrammetric Engineering and Remote Sensing 60, 1243-1251.
    [26] Nguyen Q D, 2001. Cave Database Development, Spatial Analy-sis and 3D Visualization with GIS:case Study in Son La (Vietnam). VUBrussels, Master dissertation.
    [27] Pavasovic k, 1993. Land Suitability Models. Workshop on Geo-graphical Information Systems in Integrated Coastal Man-agement, Alexandria, Egypt.
    [28] Phukan P, Thakuriah G, Saikia R, 2013. Land use land cover change detection using remote sensing and GIS techniques:a case study of Golaghat district of Assam, India. International Research Journal of Earth Sciences, 1(1):11-15. doi:10. 1080/01431160802639665
    [29] Ram B, Kolarkar A S, 1993. Remote sensing application in mon-itoring land-use changes in arid Rajasthan. International Journal of Remote Sensing, 14(17):3191-3220.
    [30] Rembold F, Carnicelli S, Nori M et al., 2000. Use of aerial photographs, landsat TM imagery and multidisciplinary field survey for land-cover change analysis in the lakes region (Ethiopia). International Journal of Applied Earth Observation and Geoinformation, 2(3-4):181-189.
    [31] Sadek S H A, 1993. Use of landsat imagery for monitoring agri-cultural expansion of East and West Nile Delta, Egypt. Egyp-tian Journal of Soil Science, 33(1):23-24.
    [32] Selvam S, 2012. Use of remote sensing and GIS techniques for land use and land cover mapping of Tuticorin Coast, Tamilnadu, Universal. Journal of Environmental Research and Technology, 2(4):233-241.
    [33] Shalaby A, Tateishi R. 2007. Remote sensing and GIS for map-ping and monitoring land cover and land-use changes in the northwestern coastal zone of Egypt. Applied Geography, 27(1):28-41. doi: 10.1016/j.apgeog.2006.09.004
    [34] Singh A, 1989. Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, 10:989-1003.
    [35] Stow D A, Chen D M, Parrott R, 1996. Enhancement, identifica-tion and quantification of land cover change. In:Morain S A et al. (eds.). Raster Imagery in Geographical Information Systems. One Word, Santa Fe, pp. 307-312.
    [36] Stow D A, 1999. Reducing mis-registration effects for pixel-level analysis of land-cover change. International Journal of Remote Sensing, 20:2477-2483.
    [37] Suliman M K, 1991. Universities and development of the Desert land in the ARE. The Second Annual University Conference, Cairo, pp. 2-5.
    [38] USDA (United States Department of Agriculture), 1975. Soil Taxonomy:A Basic System of Soil Classification for Making and Interpreting Soil Survey. Washington D C, Govt Printing Office.
    [39] USDA (United States Department of Agriculture), 2010. Keys to Soil Taxonomy. United State Department of Agriculture, Natural Resources Conservation Service (NRCS) eleventh edition.
    [40] Yikalo H A, Pedro C, 2010. Analysis and modeling of urban land cover change in Setúbal and Sesimbra, Portugal. Remote Sensing, 2(1):1549-1563. doi: 10.3390/rs2061549
    [41] Yuan D, Elvidge C D, Lunetta R S, 1999. Survey of multi-spectral methods for land cover change analysis. In:Lunetta R S (ed). Remote Sensing Change Detection:Environmental Monitoring Methods and Applications. London, Tylor & Francis, pp. 21-39.
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  • 收稿日期:  2014-07-18
  • 修回日期:  2014-11-12
  • 刊出日期:  2015-03-27

Assessment of Urban Sprawl on Agricultural Soil of Northern Nile Delta of Egypt Using RS and GIS

doi: 10.1007/s11769-015-0748-z
  • 1. National Authority for Remote Sensing and Space Sciences, Cairo 1564, Egypt;
  • 2. Soil and Water Science Department-faculty of Agri-cultural-Kafrelsheikh University, Kafr El-Sheikh 33511, Egypt
  • 收稿日期: 2014-07-18
  • 修回日期: 2014-11-12
  • 刊出日期: 2015-03-27

摘要: Urban sprawl is threatening the limited highly fertile land in the Nile delta of Egypt. Landsat TM satellite images of 1984, 1992 and ETM+ of 2006 have been used to study the impact of urban sprawl on agricultural land of the Northern Nile delta, Egypt. Visual interpretation using on screen digitizing and change detection techniques were applied for monitoring the urban sprawl. Combining the land capability map and the urban thematic layer using GIS made it possible to point out the risk of urban expansion on the expense of the highly capable soil class. The results show that a total expansion of urban area amounted to 689.20 km2 (6.3% of total area) during the study period 1984-2006. The urban expansion during the 1984-2006 was on the expense of the most fertile soils where, the high capable soils (Class I) lost 247.14 km2 (2.26 % of total area) and the moderate capable soils lost 32.73 km2 (0.3% of total area), while the low capable soils lost only 57.39 km2 (0.53% of total area). The urban encroachment over the non capable soils was very limited during the study period 1984-1992, where 7.33 km2 only was lost. The pattern of urban sprawl has been changed during the 1992 to 2006 whereas much larger area (50.64 km2) of the non capable soils was converted to urban. It can be concluded that the urban sprawl is one of the dominant degradation process on the land of Nile Delta.

English Abstract

Adel SHALABY, Farahat Saad MOGHANM. Assessment of Urban Sprawl on Agricultural Soil of Northern Nile Delta of Egypt Using RS and GIS[J]. 中国地理科学, 2015, 25(3): 274-282. doi: 10.1007/s11769-015-0748-z
引用本文: Adel SHALABY, Farahat Saad MOGHANM. Assessment of Urban Sprawl on Agricultural Soil of Northern Nile Delta of Egypt Using RS and GIS[J]. 中国地理科学, 2015, 25(3): 274-282. doi: 10.1007/s11769-015-0748-z
shu
Adel SHALABY, Farahat Saad MOGHANM. Assessment of Urban Sprawl on Agricultural Soil of Northern Nile Delta of Egypt Using RS and GIS[J]. Chinese Geographical Science, 2015, 25(3): 274-282. doi: 10.1007/s11769-015-0748-z
Citation: Adel SHALABY, Farahat Saad MOGHANM. Assessment of Urban Sprawl on Agricultural Soil of Northern Nile Delta of Egypt Using RS and GIS[J]. Chinese Geographical Science, 2015, 25(3): 274-282. doi: 10.1007/s11769-015-0748-z
shu

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