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Original Articles

An assessment of the impact of urbanization and land use changes in the fast-growing cities of Saudi Arabia

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Pages 78-97 | Received 15 Nov 2016, Accepted 07 Aug 2017, Published online: 31 Aug 2017

References

  • Abd El-Kawy OR, Rød JK, Ismail HA, Suliman AS. 2011. Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data. Appl Geogr. 31(2):483–494.10.1016/j.apgeog.2010.10.012
  • Al-Ibrahim AA. 1991. Excessive use of groundwater resources in Saudi Arabia: impacts and policy options. Ambio: 34–37.
  • Alqurashi AF, Kumar L. 2013. Investigating the use of remote sensing and GIS techniques to detect land use and land cover change: a review. Adv Remote Sens. 2(2):193–204.10.4236/ars.2013.22022
  • Alqurashi AF, Kumar L. 2014. Land use and land cover change detection in the Saudi Arabian desert cities of Makkah and Al-Taif using satellite data. Adv Remote Sens. 3(3):106–119.10.4236/ars.2014.33009
  • Alqurashi AF, Kumar L. 2016. Spatiotemporal patterns of urban change and associated environmental impacts in five Saudi Arabian cities: a case study using remote sensing data. Habitat Int. 58:75–88.10.1016/j.habitatint.2016.10.001
  • Alqurashi AF, Kumar L, Al-Ghamdi KA. 2016. Spatiotemporal modeling of urban growth predictions based on driving force factors in five Saudi Arabian cities. ISPRS Int J Geo-Inf. 5(8):139.10.3390/ijgi5080139
  • Alqurashi AF, Kumar L, Sinha P. 2016. Urban land cover change modelling using time-series satellite images: a case study of urban growth in five cities of Saudi Arabia. Remote Sens. 8(10):838.10.3390/rs8100838
  • Al-Saud M, Teutsch G, Schüth C, Rausch R. 2011. Challenges for an integrated groundwater management in the Kingdom of Saudi Arabia. Int J Water Resour Arid Environ. 1(1):65–70.
  • Al-Shayaa MS, Baig MB, Straquadine GS. 2012. Agricultural extension in the Kingdom of Saudi Arabia: difficult present and demanding future. J Anim Plant Sci. 22(1):239–246.
  • Baatz M, Schäpe A. 2000. Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation. Angewandte Geographische Informationsverarbeitung XII. 58:12–23.
  • Bey A, Sánchez-Paus Díaz A, Maniatis D, Marchi G, Mollicone D, Ricci S, Bastin J, Moore R, Federici S, Rezende M, et al. 2016. Collect earth: land use and land cover assessment through augmented visual interpretation. Remote Sens. 8(10):807.10.3390/rs8100807
  • Brovkin V, Boysen L, Arora VK, Boisier JP, Cadule P, Chini L, Claussen M, Friedlingstein P, Gayler V, van den Hurk BJJM, et al. 2013. Effect of anthropogenic land-use and land-cover changes on climate and land carbon storage in CMIP5 projections for the twenty-first century. J Clim. 26(18):6859–6881.10.1175/JCLI-D-12-00623.1
  • Chander G, Markham BL, Helder DL. 2009. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sens Environ. 113(5):893–903.10.1016/j.rse.2009.01.007
  • Coulter LL, Stow DA, Tsai Y, Ibanez N, Shih H, Kerr A, Benza M, Weeks JR, Mensah F. 2016. Classification and assessment of land cover and land use change in southern Ghana using dense stacks of Landsat 7 ETM+ imagery. Remote Sens Environ. 184:396–409.10.1016/j.rse.2016.07.016
  • Dewan A, Yamaguchi Y. 2009. Land use and land cover change in Greater Dhaka, Bangladesh: using remote sensing to promote sustainable urbanization. Appl Geogr. 29(3):390–401.10.1016/j.apgeog.2008.12.005
  • Foley JA, DeFries R, Asner GP, Barford C, Bonan G, Carpenter SR, Chapin FS, Coe MT, Daily GC, Gibbs HK, et al. 2005. Global consequences of land use. Science 309(5734):570–574.10.1126/science.1111772
  • Foody GM. 2004. Thematic map comparison. Photogramm Eng Remote Sens. 70(5):627–633.10.14358/PERS.70.5.627
  • Foody GM. 2008. Harshness in image classification accuracy assessment. Int J Remote Sens. 29(11):3137–3158.10.1080/01431160701442120
  • Fuller DO, Wang Y. 2014. Recent trends in satellite vegetation index observations indicate decreasing vegetation biomass in the southeastern saline everglades wetlands. Wetlands 34(1):67–77.10.1007/s13157-013-0483-0
  • Gómez C, White JC, Wulder MA. 2016. Optical remotely sensed time series data for land cover classification: a review. ISPRS J Photogramm Remote Sens. 116:55–72.10.1016/j.isprsjprs.2016.03.008
  • Holben BN. 1986. Characteristics of maximum-value composite images from temporal AVHRR data. Int J Remote Sens. 7(11):1417–1434.10.1080/01431168608948945
  • Hussain M, Chen D, Cheng A, Wei H, Stanley D. 2013. Change detection from remotely sensed images: from pixel-based to object-based approaches. ISPRS J Photogramm Remote Sens. 80:91–106.10.1016/j.isprsjprs.2013.03.006
  • Lambin EF, Geist HJ, Lepers E. 2003. Dynamics of land-use and land-cover change in tropical regions. Annu Rev Environ Resour. 28(1):205–241.10.1146/annurev.energy.28.050302.105459
  • Li Q, Wang C, Zhang B, Lu L. 2015. Object-based crop classification with Landsat-MODIS enhanced time-series data. Remote Sens. 7(12):15820.
  • Liu Y, Wang Y, Peng J, Du Y, Liu X, Li S, Zhang D. 2015. Correlations between urbanization and vegetation degradation across the world’s metropolises using DMSP/OLS nighttime light data. Remote Sens. 7(2):2067.10.3390/rs70202067
  • Lu D, Mausel P, Brondízio E, Moran E. 2004. Change detection techniques. Int J Remote Sens. 25(12):2365–2401.10.1080/0143116031000139863
  • Lu M, Chen J, Tang H, Rao Y, Yang P, Wu W. 2016. Land cover change detection by integrating object-based data blending model of Landsat and MODIS. Remote Sens Environ. 184:374–386.10.1016/j.rse.2016.07.028
  • Mathieu R, Aryal J, Chong A. 2007. Object-based classification of Ikonos imagery for mapping large-scale vegetation communities in urban areas. Sensors 7(11):2860.10.3390/s7112860
  • Maxwell SK, Sylvester KM. 2012. Identification of “ever-cropped” land (1984–2010) using Landsat annual maximum NDVI image composites: southwestern Kansas case study. Remote Sens Environ. 121:186–195.10.1016/j.rse.2012.01.022
  • Meneses BM, Reis R, Vale MJ, Saraiva R. 2015. Land use and land cover changes in Zêzere watershed (Portugal) – water quality implications. Sci Total Environ. 527–528:439–447.10.1016/j.scitotenv.2015.04.092
  • Morawitz DF, Blewett TM, Cohen A, Alberti M. 2006. Using NDVI to assess vegetative land cover change in central puget sound. Environ Monit Assess. 114(1–3):85–106.10.1007/s10661-006-1679-z
  • Neeti N, Eastman JR. 2011. A contextual Mann–Kendall approach for the assessment of trend significance in image time series. Trans GIS. 15(5):599–611.10.1111/tgis.2011.15.issue-5
  • Ouda OK. 2014. Impacts of agricultural policy on irrigation water demand: a case study of Saudi Arabia. Int J Water Resour Dev. 30(2):282–292.10.1080/07900627.2013.876330
  • Pellikka P, Alshaikh AY. 2016. Remote sensing of the decrease of juniper woodlands in the mountains of Southwestern Saudi Arabia – reasons and consequences. Arab J Geosci. 9(6):1–12.
  • Powers RW, Ramirez LF, Redmond CD, Elberg EL. 1966. Geology of the Arabian peninsula. Geol Survey Professional Paper. 560:1–147.
  • Pu R, Landry S, Yu Q. 2011. Object-based urban detailed land cover classification with high spatial resolution IKONOS imagery. Int J Remote Sens. 32(12):3285–3308.10.1080/01431161003745657
  • Rahman M. 2016. Detection of land use/land cover changes and urban sprawl in Al-Khobar, Saudi Arabia: an analysis of multi-temporal remote sensing data. ISPRS Int J Geo-Inf. 5(2):15.10.3390/ijgi5020015
  • Riebsame WE, Meyer WB, Turner II BL. 1994. Modeling land use and cover as part of global environmental change. Clim Change. 28(1–2):45–64.10.1007/BF01094100
  • Sinha P, Kumar L. 2013. Independent two-step thresholding of binary images in inter-annual land cover change/no-change identification. ISPRS J Photogramm Remote Sens. 81:31–43.10.1016/j.isprsjprs.2013.03.010
  • Sinha P, Kumar L, Reid N. 2016. Rank-based methods for selection of landscape metrics for land cover pattern change detection. Remote Sens. 8(2):107.10.3390/rs8020107
  • Southworth J, Munroe D, Nagendra H. 2004. Land cover change and landscape fragmentation – comparing the utility of continuous and discrete analyses for a western Honduras region. Agr Ecosyst Environ. 101(2–3):185–205.10.1016/j.agee.2003.09.011
  • Taubenböck H, Esch T, Felbier A, Wiesner M, Roth A, Dech S. 2012. Monitoring urbanization in mega cities from space. Remote Sens Environ. 117:162–176.10.1016/j.rse.2011.09.015
  • Tewkesbury AP, Comber AJ, Tate NJ, Lamb A, Fisher PF. 2015. A critical synthesis of remotely sensed optical image change detection techniques. Remote Sens Environ. 160:1–14.10.1016/j.rse.2015.01.006
  • Vogelmann JE, Gallant AL, Shi H, Zhu Z. 2016. Perspectives on monitoring gradual change across the continuity of Landsat sensors using time-series data. Remote Sens Environ. 185:258–270.10.1016/j.rse.2016.02.060
  • Wingate V, Phinn S, Kuhn N, Bloemertz L, Dhanjal-Adams K. 2016. Mapping decadal land cover changes in the woodlands of North Eastern Namibia from 1975 to 2014 using the Landsat satellite archived data. Remote Sens. 8(8):681.10.3390/rs8080681
  • Yu W, Zhou W, Qian Y, Yan J. 2016. A new approach for land cover classification and change analysis: integrating backdating and an object-based method. Remote Sens Environ. 177:37–47.10.1016/j.rse.2016.02.030
  • Zhang Z, Li N, Wang X, Liu F, Yang L. 2016. A comparative study of urban expansion in Beijing, Tianjin and Tangshan from the 1970s to 2013. Remote Sens. 8(6):496.10.3390/rs8060496
  • Zhao L, Tang J, Yu X, Tang P. 2016. A land-cover change detection method using data-oriented composite-kernel-based one-class support vector machine. Geocarto Int. 30:1–20.10.1080/10106049.2016.1195882
  • Zhou W, Troy A. 2008. An object-oriented approach for analysing and characterizing urban landscape at the parcel level. Int J Remote Sens. 29(11):3119–3135.10.1080/01431160701469065
  • Zhou W, Troy A, Grove M. 2008. Object-based land cover classification and change analysis in the Baltimore metropolitan area using multitemporal high resolution remote sensing data. Sensors 8(3):1613.10.3390/s8031613

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