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Volumn 19, Issue 2, 2009, Pages 177-185

Integrating TM and ancillary geographical data with classification trees for land cover classification of marsh area

Author keywords

Ancillary geographical data; Classification trees; Land cover classification; Landsat tm; Marsh

Indexed keywords

ALGORITHM; AUTOCORRELATION; ENTROPY; GIS; LAND CLASSIFICATION; LAND COVER; LANDSAT; MARSH; MAXIMUM LIKELIHOOD ANALYSIS; PIXEL; REGRESSION ANALYSIS; SATELLITE IMAGERY; SPECKLE; VARIOGRAM; WETLAND;

EID: 67650072485     PISSN: 10020063     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11769-009-0177-y     Document Type: Article
Times cited : (23)

References (32)
  • 1
    • 0027042112 scopus 로고
    • Rule-based classification models: Flexible integration of satellite imagery and thematic spatial data
    • Bolstad P V, Lillesand T M, 1992. Rule-based classification models: flexible integration of satellite imagery and thematic spatial data. Photogrammetric Engineering and Remote Sensing, 58(7): 965-971.
    • (1992) Photogrammetric Engineering and Remote Sensing , vol.58 , Issue.7 , pp. 965-971
    • Bolstad, P.V.1    Lillesand, T.M.2
  • 3
    • 0023823146 scopus 로고
    • An improved dark-object substraction technique for atmospheric scattering correction of multispectral data
    • DOI: 10.1016/0034-4257(88)90019-3
    • Chavez P S, 1988. An improved dark-object substraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment, 24(3): 459-479. DOI: 10.1016/0034-4257(88)90019-3
    • (1988) Remote Sensing of Environment , vol.24 , Issue.3 , pp. 459-479
    • Chavez, P.S.1
  • 4
    • 41249092227 scopus 로고
    • Tree-based models
    • Chambers et al, eds, Pacific Grove, CA: Wadsworth & Brooks/Cole
    • Clark L A, Pregibon D, 1992. Tree-based models. In: Chambers et al. (eds.). Statistical Models. Pacific Grove, CA: Wadsworth & Brooks/Cole, 377-419.
    • (1992) Statistical Models , pp. 377-419
    • Clark, L.A.1    Pregibon, D.2
  • 7
    • 0029731854 scopus 로고    scopus 로고
    • Automated derivation of geographic windows for use in remote sensing digital image analysis
    • DOI: 10.1016/0098-3004(96)00009-X
    • Franklin S, Wulder M, Lavigne M, 1996. Automated derivation of geographic windows for use in remote sensing digital image analysis. Computers and Geosciences, 22(6): 665-673. DOI: 10.1016/0098-3004(96)00009-X
    • (1996) Computers and Geosciences , vol.22 , Issue.6 , pp. 665-673
    • Franklin, S.1    Wulder, M.2    Lavigne, M.3
  • 8
    • 0029667616 scopus 로고    scopus 로고
    • Classification trees: An alternative to traditional land cover classifiers
    • DOI: 10.1080/01431169608949069
    • Hansen M, Dubayah R, Defries R, 1996. Classification trees: An alternative to traditional land cover classifiers. International Journal of Remote Sensing, 17(5): 1075-1081. DOI: 10.1080/01431169608949069
    • (1996) International Journal of Remote Sensing , vol.17 , Issue.5 , pp. 1075-1081
    • Hansen, M.1    Dubayah, R.2    Defries, R.3
  • 9
    • 0028608384 scopus 로고
    • Accuracy assessment and validation of classified satellite imagery of Texas coastal wetlands
    • Hinson J M, German C D, Pulich W J, 1994. Accuracy assessment and validation of classified satellite imagery of Texas coastal wetlands. Marine Technology Society Journal, 28(2): 4-9.
    • (1994) Marine Technology Society Journal , vol.28 , Issue.2 , pp. 4-9
    • Hinson, J.M.1    German, C.D.2    Pulich, W.J.3
  • 10
    • 0036846393 scopus 로고    scopus 로고
    • Overview of the radiometric and biophysical performance of the MODIS vegetation indices
    • DOI: 10.1016/S0034-4257(02)00096-2
    • Huete A, Didan K, Miura T et al., 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83(1-2): 195-213. DOI: 10.1016/S0034-4257(02)00096-2
    • (2002) Remote Sensing of Environment , vol.83 , Issue.1-2 , pp. 195-213
    • Huete, A.1    Didan, K.2    Miura, T.3
  • 12
    • 30444437158 scopus 로고    scopus 로고
    • Mapping structural parameters and species composition of riparian Vegetation using IKONOS and Landsat ETM+ data in Australian tropical Savannahs
    • Johansen K, Phinn S, 2006a. Mapping structural parameters and species composition of riparian Vegetation using IKONOS and Landsat ETM+ data in Australian tropical Savannahs. Photo-grammetric Engineering and Remote Sensing, 72(1): 71-80.
    • (2006) Photo-grammetric Engineering and Remote Sensing , vol.72 , Issue.1 , pp. 71-80
    • Johansen, K.1    Phinn, S.2
  • 13
    • 33749468531 scopus 로고    scopus 로고
    • Linking riparian vegetation spatial structure in Australian tropical savannas to ecosystem health indicators: Semivariogram analysis of high spatial resolution satellite imagery
    • Johansen K, Phinn S, 2006b. Linking riparian vegetation spatial structure in Australian tropical savannas to ecosystem health indicators: Semivariogram analysis of high spatial resolution satellite imagery. Canadian Journal of Remote Sensing, 32(3): 228-243.
    • (2006) Canadian Journal of Remote Sensing , vol.32 , Issue.3 , pp. 228-243
    • Johansen, K.1    Phinn, S.2
  • 14
    • 0038181102 scopus 로고    scopus 로고
    • A non-parametric supervised classification of vegetation types on the Kaibab National Forest using decision trees
    • DOI: 10.1080/01431160210-154948
    • Joy S M, Reich R M, Reynolds R T, 2003. A non-parametric supervised classification of vegetation types on the Kaibab National Forest using decision trees. International Journal of Remote Sensing, 24(9): 1835-1852. DOI: 10.1080/01431160210-154948
    • (2003) International Journal of Remote Sensing , vol.24 , Issue.9 , pp. 1835-1852
    • Joy, S.M.1    Reich, R.M.2    Reynolds, R.T.3
  • 15
    • 19744380211 scopus 로고    scopus 로고
    • Integrated management and monitoring of boreal river basins: An application to the Finnish River Siuruanjoki
    • Laine A, Heikkinen K, Heikkinen M et al., 2002. Integrated management and monitoring of boreal river basins: An application to the Finnish River Siuruanjoki. Large Rivers, 13(3-4): 387-399.
    • (2002) Large Rivers , vol.13 , Issue.3-4 , pp. 387-399
    • Laine, A.1    Heikkinen, K.2    Heikkinen, M.3
  • 17
    • 67650019022 scopus 로고    scopus 로고
    • Liu Xingtu, 1995. Wetland and its rational utilization and conservation in the Sanjiang Plain. In: Chen Yiyu (ed.). Study of Wetlands in China. Changchun: Jilin Science and Technology Press, 108-117. (in Chinese)
    • Liu Xingtu, 1995. Wetland and its rational utilization and conservation in the Sanjiang Plain. In: Chen Yiyu (ed.). Study of Wetlands in China. Changchun: Jilin Science and Technology Press, 108-117. (in Chinese)
  • 18
    • 0037202441 scopus 로고    scopus 로고
    • Modeling the distribution of four vegetation alliances using generalized linear models and classification trees with spatial dependence
    • DOI: 10.1016/S0304-3800(02)00196-5
    • Miller J, Franklin J, 2002. Modeling the distribution of four vegetation alliances using generalized linear models and classification trees with spatial dependence. Ecological Modelling, 157(2-3): 227-247. DOI: 10.1016/S0304-3800(02)00196-5
    • (2002) Ecological Modelling , vol.157 , Issue.2-3 , pp. 227-247
    • Miller, J.1    Franklin, J.2
  • 19
    • 0004125109 scopus 로고
    • 3rd edition. New York, USA: Van Nostrand Reinhold
    • Mitsch W J, Gosselink J G, 1993. Wetlands. 3rd edition. New York, USA: Van Nostrand Reinhold.
    • (1993) Wetlands
    • Mitsch, W.J.1    Gosselink, J.G.2
  • 20
    • 0036814955 scopus 로고    scopus 로고
    • Satellite remote sensing of wetlands
    • DOI: 10.1023/A:1020908432489
    • Ozesmi S L, Bauer M E, 2002. Satellite remote sensing of wetlands. Wetlands Ecology and Management, 10(5): 381-402. DOI: 10.1023/A:1020908432489
    • (2002) Wetlands Ecology and Management , vol.10 , Issue.5 , pp. 381-402
    • Ozesmi, S.L.1    Bauer, M.E.2
  • 21
    • 13344278660 scopus 로고    scopus 로고
    • Random forest classifier for remote sensing classification
    • DOI: 10.1080/01431160412331269698
    • Pal M, 2005. Random forest classifier for remote sensing classification. International Journal of Remote Sensing, 26(1): 217-222. DOI: 10.1080/01431160412331269698
    • (2005) International Journal of Remote Sensing , vol.26 , Issue.1 , pp. 217-222
    • Pal, M.1
  • 22
    • 0028980515 scopus 로고
    • Accuracy of Landsat TM and GIS rule-based methods for forest wetland classification in Maine
    • DOI: 10.1016/0034-4257(95)00085-F
    • Sader S A, Ahl D, Liou W S, 1995. Accuracy of Landsat TM and GIS rule-based methods for forest wetland classification in Maine. Remote Sensing of Environment, 53(3): 133-144. DOI: 10.1016/0034-4257(95)00085-F
    • (1995) Remote Sensing of Environment , vol.53 , Issue.3 , pp. 133-144
    • Sader, S.A.1    Ahl, D.2    Liou, W.S.3
  • 23
    • 41249090031 scopus 로고    scopus 로고
    • Integrating Landsat TM and SRTM-DEM derived variables with decision trees for habitat classification and change detection in complex neotropical environments
    • DOI: 10.1016/j.rse.2007.08.025
    • Sesnie S E, Gessler P E, Finegan B et al., 2008. Integrating Landsat TM and SRTM-DEM derived variables with decision trees for habitat classification and change detection in complex neotropical environments. Remote Sensing of Environment, 112(5): 2145-2159. DOI: 10.1016/j.rse.2007.08.025
    • (2008) Remote Sensing of Environment , vol.112 , Issue.5 , pp. 2145-2159
    • Sesnie, S.E.1    Gessler, P.E.2    Finegan, B.3
  • 24
    • 33845213335 scopus 로고    scopus 로고
    • Remote sensing and GIS for mapping and monitoring land cover and land use changes in the Northwestern coastal zone of Egypt
    • DOI: 10.1016/j.apgeog.2006.09.004
    • Shalaby A, Tateishi R, 2007. Remote sensing and GIS for mapping 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
    • (2007) Applied Geography , vol.27 , Issue.1 , pp. 28-41
    • Shalaby, A.1    Tateishi, R.2
  • 25
    • 0030461168 scopus 로고    scopus 로고
    • Estimating the Kappa coefficient and its variance under stratified random sampling
    • Stehman S V, 1999. Estimating the Kappa coefficient and its variance under stratified random sampling. Photogrammetric Engineering and Remote Sensing, 62(4): 401-407.
    • (1999) Photogrammetric Engineering and Remote Sensing , vol.62 , Issue.4 , pp. 401-407
    • Stehman, S.V.1
  • 26
    • 0141457417 scopus 로고    scopus 로고
    • Thematic accuracy of the 1992 National Land-Cover Data for the eastern United States: Statistical methodology and regional results
    • DOI: 10. 1016/S0034-4257(03)00128-7
    • Stehman S V, Wickham J D, Smith J H et al., 2003. Thematic accuracy of the 1992 National Land-Cover Data for the eastern United States: Statistical methodology and regional results. Remote Sensing of Environment, 86(3-4): 500-516. DOI: 10. 1016/S0034-4257(03)00128-7
    • (2003) Remote Sensing of Environment , vol.86 , Issue.3-4 , pp. 500-516
    • Stehman, S.V.1    Wickham, J.D.2    Smith, J.H.3
  • 27
    • 0031905486 scopus 로고    scopus 로고
    • Satellite-derived vegetation index and cover type maps for estimating carbon dioxide flux for arctic tundra regions
    • DOI: 10.1016/S0169-555X(97) 00071-8
    • Stow D, Hope A, Boynton W et al., 1998. Satellite-derived vegetation index and cover type maps for estimating carbon dioxide flux for arctic tundra regions. Geomorphology, 21(3-4): 313-327. DOI: 10.1016/S0169-555X(97) 00071-8
    • (1998) Geomorphology , vol.21 , Issue.3-4 , pp. 313-327
    • Stow, D.1    Hope, A.2    Boynton, W.3
  • 28
    • 34047138873 scopus 로고    scopus 로고
    • Improved wetland remote sensing in Yellowstone National Park using classification trees to combine TM imagery and ancillary geographical data
    • DOI: 10.1016/j.rse.2006.10.019
    • Wright C, Gallant A, 2007. Improved wetland remote sensing in Yellowstone National Park using classification trees to combine TM imagery and ancillary geographical data. Remote Sensing of Environment, 107(4): 582-605. DOI: 10.1016/j.rse.2006.10.019
    • (2007) Remote Sensing of Environment , vol.107 , Issue.4 , pp. 582-605
    • Wright, C.1    Gallant, A.2
  • 29
    • 0004252445 scopus 로고
    • 2nd Edition. Englewood Cliffs: Prentice-Hall
    • Zar J H, 1984. Biostatistical Analysis, 2nd Edition. Englewood Cliffs: Prentice-Hall.
    • (1984) Biostatistical Analysis
    • Zar, J.H.1
  • 30
    • 67650006604 scopus 로고    scopus 로고
    • Identifying wetland change in China's Sanjiang Plain using remote sensing
    • Zhang S Q, Na X D, Kong B et al., 2009. Identifying wetland change in China's Sanjiang Plain using remote sensing. Wetlands, 29(1): 302-313.
    • (2009) Wetlands , vol.29 , Issue.1 , pp. 302-313
    • Zhang, S.Q.1    Na, X.D.2    Kong, B.3
  • 31
    • 32644471178 scopus 로고    scopus 로고
    • Vector analysis theory on landscape pattern (VATLP)
    • DOI: 10.1016/j.ecolmodel.2005.08.022
    • Zhang S Q, Zhang J Y, Li F et al., 2006. Vector analysis theory on landscape pattern (VATLP). Ecological Modelling, 193(3- 4): 492-502. DOI: 10.1016/j.ecolmodel.2005.08.022
    • (2006) Ecological Modelling , vol.193 , Issue.3-4 , pp. 492-502
    • Zhang, S.Q.1    Zhang, J.Y.2    Li, F.3
  • 32
    • 4344664873 scopus 로고
    • The genesis, properties and classification of marsh soil in Sanjiang Plain
    • Xichou Huang ed, in China. Beijing: Science Press, in Chinese
    • Zhang Yangzhen, 1988. The genesis, properties and classification of marsh soil in Sanjiang Plain. In: Huang Xichou (ed.). Marsh Research in China. Beijing: Science Press, 135-143. (in Chinese)
    • (1988) Marsh Research , pp. 135-143
    • Zhang, Y.1


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