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Volumn 8, Issue 1, 2014, Pages

Spatiotemporal analysis of urban environment based on the vegetation-impervious surface-soil model

Author keywords

spatial metric; support vector machine; urban environment; Vegetation impervious surface soil

Indexed keywords

DECISION MAKING; DEVELOPING COUNTRIES; ECOLOGY; SOILS; SUPPORT VECTOR MACHINES; VEGETATION;

EID: 84890282730     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.8.084597     Document Type: Article
Times cited : (19)

References (43)
  • 2
    • 0029521079 scopus 로고
    • Exploring a V-I-S (vegetation-Impervious surface-Soil) model for urban ecosystem analysis through remote sensing:Comparative anatomy for cities
    • 2. M. Ridd, Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities, Int. J. Remote Sens. 16(12), 2165-2185 (1995), http://dx.doi.org/10. 1080/01431169508954549. (Pubitemid 26431379)
    • (1995) International Journal of Remote Sensing , vol.16 , Issue.12 , pp. 2165-2185
    • Ridd, M.K.1
  • 5
    • 84856725108 scopus 로고    scopus 로고
    • Satellite image processing for urban land cover composition analysis and runoff estimation
    • University of Utah, Salt Lake City, Utah
    • 5. J. Chen, Satellite image processing for urban land cover composition analysis and runoff estimation, Doctoral Dissertation, The Department of Geography, University of Utah, Salt Lake City, Utah (1996).
    • (1996) Doctoral Dissertation the Department of Geography
    • Chen, J.1
  • 6
    • 33748047793 scopus 로고    scopus 로고
    • A multi-scale approach to urban thermal analysis
    • DOI 10.1016/j.rse.2006.01.025, PII S0034425706001775, Thermal Remote Sensing of Urban Areas
    • 6. R. Gluch, D. Quattrochi, and J. C. Luvall, A multi-scale approach to urban thermal analysis, Remote Sens. Environ. 104(2), 123-132 (2006), http://dx.doi.org/10.1016/j.rse.2006.01.025. (Pubitemid 44301287)
    • (2006) Remote Sensing of Environment , vol.104 , Issue.2 , pp. 123-132
    • Gluch, R.1    Quattrochi, D.A.2    Luvall, J.C.3
  • 7
    • 58149121834 scopus 로고    scopus 로고
    • Revealing the anatomy of cities through spectral mixture analysis of multispectral satellite imagery: A case study of the greater Cairo region, Egypt
    • 7. T. Rashed et al., Revealing the anatomy of cities through spectral mixture analysis of multispectral satellite imagery: a case study of the greater Cairo region, Egypt, Geocarto Int. 16(4), 5-15 (2001), http://dx.doi.org/10. 1080/10106040108542210.
    • (2001) Geocarto Int. , vol.16 , Issue.4 , pp. 5-15
    • Rashed, T.1
  • 8
    • 67849114029 scopus 로고    scopus 로고
    • Esti mating impervious surfaces from mediumspatial resolution imagery using the self-organizing map and multi-layer perceptron neural networks
    • 8. X.Huand Q.Weng, Esti mating impervious surfaces from mediumspatial resolution imagery using the self-organizing map and multi-layer perceptron neural networks, Remote Sens. Environ. 113(10), 2089-2102 (2009), http://dx.doi.org/10.1016/j.rse.2009.05.014.
    • (2009) Remote Sens. Environ. , vol.113 , Issue.10 , pp. 2089-2102
    • Huand, X.1    Weng, Q.2
  • 9
    • 48849109176 scopus 로고    scopus 로고
    • Medium spatial resolution satellite imagery for estimating and mapping urban impervious surfaces using LSMA and ANN
    • 9. Q. Weng and X. Hu, Medium spatial resolution satellite imagery for estimating and mapping urban impervious surfaces using LSMA and ANN, IEEE Trans. Geosci. Remote Sens. 46(8) 2397-2406 (2008), http://dx.doi.org/10.1109/TGRS. 2008.917601.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , Issue.8 , pp. 2397-2406
    • Weng, Q.1    Hu, X.2
  • 10
    • 33744771976 scopus 로고    scopus 로고
    • + using Self-Organizing Map (SOM) neural networks for urban land cover characterization
    • DOI 10.1109/TGRS.2006.869984
    • 10. S. Lee and R. G. Lathrop, Subpixel analysis of Landsat ETM+ using self-organizing map (SOM) neural networks for urban land cover characterization, IEEE Trans. Geosci. Remote Sens. 44(6), 1642-1654 (2006), http://dx.doi.org/10. 1109/TGRS.2006.869984. (Pubitemid 43824509)
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.6 , pp. 1642-1654
    • Lee, S.1    Lathrop, R.G.2
  • 11
    • 0042961504 scopus 로고    scopus 로고
    • An approach for mapping large-area impervious surfaces: Synergistic use of Landsat-7 ETM+ and high spatial resolution imagery
    • 11. L. Yang, C. Huang, and C. G. Homer, An approach for mapping large-area impervious surfaces: synergistic use of Landsat-7 ETM+ and high spatial resolution imagery, Can. J. Remote Sens. 29(2), 230-240 (2003), http://dx.doi.org/10.5589/m02-098.
    • (2003) Can. J. Remote Sens. , vol.29 , Issue.2 , pp. 230-240
    • Yang, L.1    Huang, C.2    Homer, C.G.3
  • 12
    • 70449360101 scopus 로고    scopus 로고
    • Synergistic use of optical and InSAR data for urban impervious surface mapping: A case study in Hong Kong
    • 12. L. Jiang, M. Liao, and H. Lin, Synergistic use of optical and InSAR data for urban impervious surface mapping: a case study in Hong Kong, Int. J. Remote Sens. 30(11), 2781-2796 (2009), http://dx.doi.org/10.1080/ 01431160802555838.
    • (2009) Int. J. Remote Sens. , vol.30 , Issue.11 , pp. 2781-2796
    • Jiang, L.1    Liao, M.2    Lin, H.3
  • 14
    • 67349274187 scopus 로고    scopus 로고
    • Large-area assessment of impervious surface based on integrated analysis of single-date Landsat-7 images and geospatial vector data
    • 14. T. Esch, V. Himmler, and G. Himmler, Large-area assessment of impervious surface based on integrated analysis of single-date Landsat-7 images and geospatial vector data, Remote Sens. Environ. 113(8), 1678-1690 (2009), http://dx.doi.org/10.1016/j.rse.2009.03.012.
    • (2009) Remote Sens. Environ. , vol.113 , Issue.8 , pp. 1678-1690
    • Esch, T.1    Himmler, V.2    Himmler, G.3
  • 15
    • 0037138473 scopus 로고    scopus 로고
    • An assessment of support vector machines for land cover classification
    • DOI 10.1080/01431160110040323
    • 15. C. Huang, L. S. Davis, and J. R. G. Townshend An assessment of support vector machines for land cover classification, Int. J. Remote Sens. 23(4), 725-749 (2002), http://dx.doi.org/10.1080/01431160110040323. (Pubitemid 34119904)
    • (2002) International Journal of Remote Sensing , vol.23 , Issue.4 , pp. 725-749
    • Huang, C.1    Davis, L.S.2    Townshend, J.R.G.3
  • 16
    • 0036113847 scopus 로고    scopus 로고
    • Classification using ASTER data and SVM algorithms: The case study of Beer Sheva, Israel
    • DOI 10.1016/S0034-4257(01)00305-4, PII S0034425701003054
    • 16. G. Zhu and D. Blumberg, Classification using ASTER data and SVM algorithms: the case study of Beer Sheva, Israel, Remote Sens. Environ. 80(2), 233-240 (2002), http://dx.doi.org/10.1016/S0034-4257(01)00305-4. (Pubitemid 34409346)
    • (2002) Remote Sensing of Environment , vol.80 , Issue.2 , pp. 233-240
    • Zhu, G.1    Blumberg, D.G.2
  • 17
    • 84855233791 scopus 로고    scopus 로고
    • Estimating urban impervious surfaces from Landsat-5 TM imagery using multi-layer perceptron neural network and support vector machine
    • 17. Z. Sun, H. Guo, and X. Li, Estimating urban impervious surfaces from Landsat-5 TM imagery using multi-layer perceptron neural network and support vector machine, J. Appl. Remote Sens. 5(1),1-17 (2011), http://dx.doi.org/10. 1117/1.3539767.
    • (2011) J. Appl. Remote Sens. , vol.5 , Issue.1 , pp. 1-17
    • Sun, Z.1    Guo, H.2    Li, X.3
  • 18
    • 33846189470 scopus 로고    scopus 로고
    • A study on information extraction of water body with the modified norm alized difference water index (MNDWI)
    • 18. H. Xu, A study on information extraction of water body with the modified norm alized difference water index (MNDWI), J. Remote Sens. 9(5), 589-595 (2005), http://dx.doi.org/10.3321%2fj.issn%3a1007-4619.2005.05.012.
    • (2005) J. Remote Sens. , vol.9 , Issue.5 , pp. 589-595
    • Xu, H.1
  • 19
    • 33745727269 scopus 로고    scopus 로고
    • Use of normalized differenced bareness index in quickly mapping bare areas from TM/ETM+
    • 19. H. Zhao and X. Chen, Use of normalized differenced bareness index in quickly mapping bare areas from TM/ETM+, in Geoscience and Remote Sensing Symp., Seoul, Vol. 3, pp. 1666-1668 (2005).
    • (2005) Geoscience and Remote Sensing Symp., Seoul , vol.3 , pp. 1666-1668
    • Zhao, H.1    Chen, X.2
  • 20
    • 0034161563 scopus 로고    scopus 로고
    • Integrating contextual information with per-pixel classification for improved land cover classification
    • DOI 10.1016/S0034-4257(99)00083-8, PII S0034425799000838
    • 20. J. Stuckens, P. Coppin, and M. Bauer, Integrating contextual information with per-pixel classification for improved land cover classification, Remote Sens. Environ. 71(3), 282-296 (2000), http://dx.doi.org/10.1016/S0034-4257(99)00083-8. (Pubitemid 30124726)
    • (2000) Remote Sensing of Environment , vol.71 , Issue.3 , pp. 282-296
    • Stuckens, J.1    Coppin, P.R.2    Bauer, M.E.3
  • 21
    • 78650132022 scopus 로고    scopus 로고
    • Spatio-temporal pattern of urban land cover evolvement with urban renewal and expansion in Shanghai based on mixed-pixel classification for remote sensing imagery
    • 21. X. Dai et al., Spatio-temporal pattern of urban land cover evolvement with urban renewal and expansion in Shanghai based on mixed-pixel classification for remote sensing imagery, Int. J. Remote Sens. 31(23), 6095-6114 (2010), http://dx.doi.org/10.1080/01431160903376407.
    • (2010) Int. J. Remote Sens. , vol.31 , Issue.23 , pp. 6095-6114
    • Dai, X.1
  • 22
    • 59349117681 scopus 로고    scopus 로고
    • Sprawl in Taipeis peri-urban zone: Responses to spatial planning and implications for adapting global environmental change
    • 22. S. Huang, S. Wang, and W. Budd, Sprawl in Taipeis peri-urban zone: responses to spatial planning and implications for adapting global environmental change, Landsc. Urban Plan. 90(1-2), 20-32 (2009), http://dx.doi.org/10.1016/j. landurbplan.2008.10.010.
    • (2009) Landsc. Urban Plan. , vol.90 , Issue.1-2 , pp. 20-32
    • Huang, S.1    Wang, S.2    Budd, W.3
  • 23
    • 79953856990 scopus 로고    scopus 로고
    • Urban growth and change analysis using remote sensing and spatial metrics from 1975 to 2003 for Hanoi, Vietnam
    • 23. H. Pham and Y. Yamaguchi, Urban growth and change analysis using remote sensing and spatial metrics from 1975 to 2003 for Hanoi, Vietnam, Int. J. Remote Sens. 32(7), 1901-1915 (2011), http://dx.doi.org/10.1080/ 01431161003639652.
    • (2011) Int. J. Remote Sens. , vol.32 , Issue.7 , pp. 1901-1915
    • Pham, H.1    Yamaguchi, Y.2
  • 24
    • 34250826694 scopus 로고    scopus 로고
    • Estimating vegetation cover in an urban environment based on Landsat ETM+ imagery: A case study in Phoenix, USA
    • DOI 10.1080/01431160600658149, PII 770400064
    • 24. A. Buyantuyev, J. Wu, and C. Gries, Estimating vegetation cover in an urban environment based on Landsat ETM+ imagery: a case study in Phoenix, USA, Int. J. Remote Sens. 28(2), 269-291 (2007), http://dx.doi.org/10.1080/ 01431160600658149. (Pubitemid 46978721)
    • (2007) International Journal of Remote Sensing , vol.28 , Issue.2 , pp. 269-291
    • Buyantuyev, A.1    Wu, J.2    Gries, C.3
  • 25
    • 16844380614 scopus 로고    scopus 로고
    • The role of spatial metrics in the analysis and modeling of urban land use change
    • 25. M. Herold, H. Couclelis, and K. Clarke, The role of spatial metrics in the analysis and modeling of urban land use change, Comput. Environ. Urban Syst. 29(4), 369-399 (2005), http://dx.doi.org/10.1016/j.compenvurbsys.2003.12. 001.
    • (2005) Comput. Environ. Urban Syst. , vol.29 , Issue.4 , pp. 369-399
    • Herold, M.1    Couclelis, H.2    Clarke, K.3
  • 26
    • 34648834615 scopus 로고    scopus 로고
    • A global comparative analysis of urban form: Applying spatial metrics and remote sensing
    • DOI 10.1016/j.landurbplan.2007.02.010, PII S0169204607000588
    • 26. J. Huang and X. Lu, A global comparative analysis of urban form: applying spatial metrics and remote sensing, Landsc. Urban Plan. 82(4), 184-197 (2007), http://dx.doi.org/10.1016/j.landurbplan.2007.02.010. (Pubitemid 47454546)
    • (2007) Landscape and Urban Planning , vol.82 , Issue.4 , pp. 184-197
    • Huang, J.1    Lu, X.X.2    Sellers, J.M.3
  • 27
    • 79958706006 scopus 로고    scopus 로고
    • Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data
    • 27. Q. Zhang and K. C. Seto, Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data, Remote Sens. Environ. 115(9), 2320-2329 (2011), http://dx.doi.org/10.1016/j.rse.2011. 04.032.
    • (2011) Remote Sens. Environ. , vol.115 , Issue.9 , pp. 2320-2329
    • Zhang, Q.1    Seto, K.C.2
  • 28
    • 34247218460 scopus 로고    scopus 로고
    • Spatial and temporal dynamics of urban sprawl along two urban-rural transects: A case study of Guangzhou, China
    • DOI 10.1016/j.landurbplan.2006.03.008, PII S0169204606000715
    • 28. X. Yu and C. Ng, Spatial and temporal dynamics of urban dynamics of urban sprawl along two urban-rural transects: a case study of Guangzhou, China, Landsc. Urban Plan. 79(1), 96-109 (2007), http://dx.doi.org/10.1016/j. landurbplan.2006.03.008. (Pubitemid 44822628)
    • (2007) Landscape and Urban Planning , vol.79 , Issue.1 , pp. 96-109
    • Yu, X.J.1    Ng, C.N.2
  • 29
    • 70449346946 scopus 로고    scopus 로고
    • Analysis of urban growth pattern using remote sensing and GIS: A case study of Kolkata, India
    • 29. Y. Zhang and B. Guindon, Analysis of urban growth pattern using remote sensing and GIS: a case study of Kolkata, India, Int. J. Remote Sens. 30(18), 4733-4746 (2009), http://dx.doi.org/10.1080/01431160802651967.
    • (2009) Int. J. Remote Sens. , vol.30 , Issue.18 , pp. 4733-4746
    • Zhang, Y.1    Guindon, B.2
  • 30
    • 53949116999 scopus 로고    scopus 로고
    • Changes in the built vs.Non-Built environment in a rapidly urbanizing region:A case study of the Greater Toronto Area
    • 30. L. Tole, Changes in the built vs. non-built environment in a rapidly urbanizing region: a case study of the Greater Toronto Area, Comput. Environ. Urban Syst. 3 2(5), 355-364 (2008), http://dx.doi.org/10.1016/j.compenvurbsys. 2008.08.002.
    • (2008) Comput. Environ. Urban Syst. , vol.3 , Issue.2-5 , pp. 355-364
    • Tole, L.1
  • 31
    • 77955326628 scopus 로고    scopus 로고
    • Mapping global urban areas using MODIS 500-m data: New methods and datasets
    • 31. A. Schneider, M. A. Friedl, and D. Potere, Mapping global urban areas using MODIS 500-m data: new methods and datasets, Remote Sens. Environ. 114(8), 1733 -1746 (2010), http://dx.doi.org/10.1016/j.rse.2010.03.003.
    • (2010) Remote Sens. Environ. , vol.114 , Issue.8 , pp. 1733-1746
    • Schneider, A.1    Friedl, M.A.2    Potere, D.3
  • 32
    • 79954497160 scopus 로고    scopus 로고
    • Modeling sprawl of unauthorized development using geospatial technology: Case study in Kuantan district, Malaysia
    • 32. M. Hashim, N. M. Noor, and M. Marghany, Modeling sprawl of unauthorized development using geospatial technology: case study in Kuantan district, Malaysia, Int. J. Digital Earth 4(3), 223-238 (2011), http://dx.doi.org/10.1080/17538947.2010.494737.
    • (2011) Int. J. Digital Earth , vol.4 , Issue.3 , pp. 223-238
    • Hashim, M.1    Noor, N.M.2    Marghany, M.3
  • 33
    • 84890256390 scopus 로고    scopus 로고
    • (27 May 2012
    • 33. Wikipedia, Greater Toronto Area, http://en.wikipedia.org/wiki/ Greater-Toronto-Area#Demographics (27 May 2012).
    • Wikipedia Greater Toronto Area
  • 35
    • 0037381086 scopus 로고    scopus 로고
    • Estimating impervious surface distribution by spectral mixture analysis
    • DOI 10.1016/S0034-4257(02)00136-0, PII S0034425702001360
    • 35. C. Wu and A. T. Murray, Estimating impervious surface distribution by spectral mixture analysis, Remote Sens. Environ. 84(4), 493-505 (2003), http://dx.doi.org/10.1016/S0034-4257(02)00136-0. (Pubitemid 36360511)
    • (2003) Remote Sensing of Environment , vol.84 , Issue.4 , pp. 493-505
    • Wu, C.1    Murray, A.T.2
  • 36
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • 36. C. J. C. Burges, A tutorial on support vector machines for pattern recognition Data Min. Knowl. Discov. 2(2), 121-167 (1998), http://dx.doi.org/10. 1023/A: 1009715923555. (Pubitemid 128695475)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 37
    • 13544269338 scopus 로고    scopus 로고
    • Application of SVM and ANN for intrusion detection
    • DOI 10.1016/j.cor.2004.03.019, PII S0305054804000711, Application of Neural Networks
    • 37. W. Chen, S. Hsu, and H. Shen, Application of SVM and ANN for intrusion detection, Comput. Oper. Res. 32(10), 2617-2634 (2005), http://dx.doi.org/10.1016/j.cor.2004.03.019. (Pubitemid 40219764)
    • (2005) Computers and Operations Research , vol.32 , Issue.10 , pp. 2617-2634
    • Chen, W.-H.1    Hsu, S.-H.2    Shen, H.-P.3
  • 43
    • 2342472114 scopus 로고    scopus 로고
    • Land surface temperature retrieval from LANDSAT TM 5
    • DOI 10.1016/j.rse.2004.02.003, PII S0034425704000574
    • 43. J. A. Sobrino, J. C. Jiménez-Muñoz, and L. Paolini Land surface temperature retrieval from LANDSAT TM 5, Remote Sens. Environ. 90(4), 434-440 (2004), http://dx.doi.org/10.1016/j.rse.2004.02.003. (Pubitemid 38583630)
    • (2004) Remote Sensing of Environment , vol.90 , Issue.4 , pp. 434-440
    • Sobrino, J.A.1    Jimenez-Munoz, J.C.2    Paolini, L.3


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