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Volumn 73, Issue 12, 2007, Pages 1393-1401

Seasonal sensitivity analysis of impervious surface estimation with satellite imagery

Author keywords

[No Author keywords available]

Indexed keywords

REGRESSION ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; SENSITIVITY ANALYSIS; SPECTRUM ANALYSIS;

EID: 36749079080     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.73.12.1393     Document Type: Article
Times cited : (41)

References (28)
  • 2
    • 0344877437 scopus 로고    scopus 로고
    • Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges
    • Chander, G., and B. Markham, 2003. Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges, IEEE Transactions on Geoscience and Remote Sensing, 41(11):2674-2677.
    • (2003) IEEE Transactions on Geoscience and Remote Sensing , vol.41 , Issue.11 , pp. 2674-2677
    • Chander, G.1    Markham, B.2
  • 3
    • 0021424184 scopus 로고
    • A physically-based transformation of Thematic Mapper data-The TM Tasseled Cap
    • Crist, E.P., and R.C. Cicone, 1984. A physically-based transformation of Thematic Mapper data-The TM Tasseled Cap, IEEE Transactions on Geoscience and Remote Sensing, GE-22(3):256-63.
    • (1984) IEEE Transactions on Geoscience and Remote Sensing , vol.GE-22 , Issue.3 , pp. 256-263
    • Crist, E.P.1    Cicone, R.C.2
  • 6
    • 33747119650 scopus 로고    scopus 로고
    • Effectiveness of subpixel analysis in detecting and quantifying urban imperviousness from Landsat Thematic Mapper imagery
    • Ji, M., and J.R. Jensen, 1999. Effectiveness of subpixel analysis in detecting and quantifying urban imperviousness from Landsat Thematic Mapper imagery, Geocarto International, 14(4):33-41
    • (1999) Geocarto International , vol.14 , Issue.4 , pp. 33-41
    • Ji, M.1    Jensen, J.R.2
  • 7
    • 85036980374 scopus 로고    scopus 로고
    • Landsat 7 Science Data Users Handbook, 2006. National Aeronautics and Space Administration URL: http://ltpwww.gsfc.nasa.gov/IAS/handbook/ handbook_toc.html, (last date accessed: 27 August 2007).
    • Landsat 7 Science Data Users Handbook, 2006. National Aeronautics and Space Administration URL: http://ltpwww.gsfc.nasa.gov/IAS/handbook/ handbook_toc.html, (last date accessed: 27 August 2007).
  • 8
    • 1642628927 scopus 로고    scopus 로고
    • Spectral mixture analysis of the urban landscape in Indianapolis city with Landsat ETM+ imagery
    • Lu, D., and Q. Weng, 2004. Spectral mixture analysis of the urban landscape in Indianapolis city with Landsat ETM+ imagery, Photogrammetric Engineering & Remote Sensing, 70(9): 1053-1062.
    • (2004) Photogrammetric Engineering & Remote Sensing , vol.70 , Issue.9 , pp. 1053-1062
    • Lu, D.1    Weng, Q.2
  • 9
    • 0037057551 scopus 로고    scopus 로고
    • Monitoring the composition and form of urban environments based on the vegetation - impervious surface - soil (VIS) model by sub-pixel analysis techniques
    • Phinn, S., M. Stanford, P. Scarth, A.T. Murray, and T. Shyy, 2002. Monitoring the composition and form of urban environments based on the vegetation - impervious surface - soil (VIS) model by sub-pixel analysis techniques, International Journal of Remote Sensing, 23(20):4131-4153.
    • (2002) International Journal of Remote Sensing , vol.23 , Issue.20 , pp. 4131-4153
    • Phinn, S.1    Stanford, M.2    Scarth, P.3    Murray, A.T.4    Shyy, T.5
  • 10
    • 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
    • Rashed, T., J.R. Weeks, and M.S. Gadalla, 2001. Revealing the anatomy of cities through spectral mixture analysis of multispectral satellite imagery: A case study of the greater Cairo region, Egypt, Geocarto International, 16(4):5-15.
    • (2001) Geocarto International , vol.16 , Issue.4 , pp. 5-15
    • Rashed, T.1    Weeks, J.R.2    Gadalla, M.S.3
  • 11
    • 0041419349 scopus 로고    scopus 로고
    • Measuring the physical compositions of urban morphology using multiple endmember spectral mixture models
    • Rashed, T., J. Weeks, D. Roberts, J. Rogan, and R. Powell, 2003. Measuring the physical compositions of urban morphology using multiple endmember spectral mixture models, Photogrammetric Engineering & Remote Sensing, 69(9):1011-1020.
    • (2003) Photogrammetric Engineering & Remote Sensing , vol.69 , Issue.9 , pp. 1011-1020
    • Rashed, T.1    Weeks, J.2    Roberts, D.3    Rogan, J.4    Powell, R.5
  • 12
    • 13444262383 scopus 로고    scopus 로고
    • Measuring temporal compositions of urban morphology through spectral mixture analysis: Toward a soft approach to change analysis in crowded cities
    • Rashed, T., J.R. Weeks, D. Stow, and D. Fugate, 2005. Measuring temporal compositions of urban morphology through spectral mixture analysis: Toward a soft approach to change analysis in crowded cities, International Journal of Remote Sensing, 26(4):699-718.
    • (2005) International Journal of Remote Sensing , vol.26 , Issue.4 , pp. 699-718
    • Rashed, T.1    Weeks, J.R.2    Stow, D.3    Fugate, D.4
  • 13
    • 0029521079 scopus 로고
    • Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: Comparative anatomy for cities
    • Ridd, M.K., 1995. Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: Comparative anatomy for cities, International Journal of Remote Sensing, 16:2165-2185.
    • (1995) International Journal of Remote Sensing , vol.16 , pp. 2165-2185
    • Ridd, M.K.1
  • 14
    • 1042268376 scopus 로고    scopus 로고
    • Extending satellite remote sensing to local scales: Land and water resource monitoring using high-resolution imagery
    • Sawaya, K.E., L.G. Olmanson, N.J. Heinert, P.L. Brezonik, and M.E. Bauer, 2003. Extending satellite remote sensing to local scales: Land and water resource monitoring using high-resolution imagery, Remote Sensing of Environment, 88(1-2):144-156
    • (2003) Remote Sensing of Environment , vol.88 , Issue.1-2 , pp. 144-156
    • Sawaya, K.E.1    Olmanson, L.G.2    Heinert, N.J.3    Brezonik, P.L.4    Bauer, M.E.5
  • 15
  • 16
    • 0035837463 scopus 로고    scopus 로고
    • Estimation of urban vegetation abundance by spectral mixture analysis
    • Small, C., 2001. Estimation of urban vegetation abundance by spectral mixture analysis, International Journal of Remote Sensing, 22:1305-1334.
    • (2001) International Journal of Remote Sensing , vol.22 , pp. 1305-1334
    • Small, C.1
  • 17
    • 1842644111 scopus 로고    scopus 로고
    • Draft report on the environment, URL
    • U.S. Environmental Protecting Agency, last date accessed: 27 August
    • U.S. Environmental Protecting Agency, 2003. Draft report on the environment, URL: http://www.epa.gov/indicators/roe/ (last date accessed: 27 August 2007).
    • (2003)
  • 18
    • 0027787843 scopus 로고
    • Calibration of satellite classifications of land area
    • Walsh, T.A., and T.E. Burk, 1993. Calibration of satellite classifications of land area, Remote Sensing of Environment, 46(3):281-290.
    • (1993) Remote Sensing of Environment , vol.46 , Issue.3 , pp. 281-290
    • Walsh, T.A.1    Burk, T.E.2
  • 19
    • 1242321310 scopus 로고    scopus 로고
    • Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies
    • Weng, Q., D. Lu, and J. Schubring, 2004. Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies, Remote Sensing of Environment, 89(4):467-483.
    • (2004) Remote Sensing of Environment , vol.89 , Issue.4 , pp. 467-483
    • Weng, Q.1    Lu, D.2    Schubring, J.3
  • 20
    • 7444231656 scopus 로고    scopus 로고
    • Normalized spectral mixture analysis for monitoring urban composition using ETM+ imagery
    • Wu, C., 2004. Normalized spectral mixture analysis for monitoring urban composition using ETM+ imagery, Remote Sensing of Environment, 93:480-492
    • (2004) Remote Sensing of Environment , vol.93 , pp. 480-492
    • Wu, C.1
  • 21
    • 0037381086 scopus 로고    scopus 로고
    • Estimating impervious surface distribution by spectral mixture analysis
    • Wu, C., and A. Murray, 2003. Estimating impervious surface distribution by spectral mixture analysis, Remote Sensing of Environment, 84:493-505
    • (2003) Remote Sensing of Environment , vol.84 , pp. 493-505
    • Wu, C.1    Murray, A.2
  • 22
    • 17744366511 scopus 로고    scopus 로고
    • A cokriging method for estimating population density in urban areas
    • Wu, C., and A.T. Murray, 2005. A cokriging method for estimating population density in urban areas, Computers, Environment, and Urban Systems, 29:558-579.
    • (2005) Computers, Environment, and Urban Systems , vol.29 , pp. 558-579
    • Wu, C.1    Murray, A.T.2
  • 23
    • 22744440977 scopus 로고    scopus 로고
    • Assessments of urban growth in the Tampa Bay Watershed using remote sensing data
    • Xian, C., and M. Crane, 2005. Assessments of urban growth in the Tampa Bay Watershed using remote sensing data, Remote Sensing of Environment, 97:203-215.
    • (2005) Remote Sensing of Environment , vol.97 , pp. 203-215
    • Xian, C.1    Crane, M.2
  • 24
    • 0042961504 scopus 로고    scopus 로고
    • An approach for mapping large-area impervious surfaces: Synergistic use of Landsat-7 ETM+ and high spatial resolution imagery
    • Yang, L., C. Huang, C.G. Homer, B.K. Wylie, and M.J. Coan, 2003a. An approach for mapping large-area impervious surfaces: synergistic use of Landsat-7 ETM+ and high spatial resolution imagery, Canadian Journal of Remote Sensing, 29(2):230-240.
    • (2003) Canadian Journal of Remote Sensing , vol.29 , Issue.2 , pp. 230-240
    • Yang, L.1    Huang, C.2    Homer, C.G.3    Wylie, B.K.4    Coan, M.J.5
  • 25
    • 0042922539 scopus 로고    scopus 로고
    • Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data
    • Yang, L., G. Xian, J.M. Klaver, and B. Deal, 2003b. Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data, Photogrammetric Engineering & Remote Sensing, 69(9):1003-1010.
    • (2003) Photogrammetric Engineering & Remote Sensing , vol.69 , Issue.9 , pp. 1003-1010
    • Yang, L.1    Xian, G.2    Klaver, J.M.3    Deal, B.4
  • 26
    • 8744247168 scopus 로고    scopus 로고
    • Understanding population segregation from Landsat ETM+ imagery: A geographically weighted regression approach
    • Yu, D., and C. Wu, 2004. Understanding population segregation from Landsat ETM+ imagery: A geographically weighted regression approach, GIScience and Remote Sensing, 41(3): 187-206.
    • (2004) GIScience and Remote Sensing , vol.41 , Issue.3 , pp. 187-206
    • Yu, D.1    Wu, C.2
  • 27
    • 33144480471 scopus 로고    scopus 로고
    • Incorporating remote sensing information in modeling house values: A regression tree approach
    • Yu, D., and C. Wu, 2006. Incorporating remote sensing information in modeling house values: A regression tree approach, Photogrammetric Engineering & Remote Sensing, 72(2): 129-138.
    • (2006) Photogrammetric Engineering & Remote Sensing , vol.72 , Issue.2 , pp. 129-138
    • Yu, D.1    Wu, C.2
  • 28
    • 25844488665 scopus 로고    scopus 로고
    • Multi-level land cover mapping of the Twin Cities (Minnesota) metropolitan area with multi-seasonal Landsat TM/ETM+ data
    • Yuan, F, M.E. Bauer, N.J. Heinert, and G. Holden, 2005. Multi-level land cover mapping of the Twin Cities (Minnesota) metropolitan area with multi-seasonal Landsat TM/ETM+ data, Geocarto International, 20(2):5-14.
    • (2005) Geocarto International , vol.20 , Issue.2 , pp. 5-14
    • Yuan, F.1    Bauer, M.E.2    Heinert, N.J.3    Holden, G.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.