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Volumn 33, Issue 2, 2006, Pages 159-171

Can error explain map differences over time?

Author keywords

Accuracy; Change; Hypothesis; Land; Matrix; Uncertainty

Indexed keywords

ERROR ANALYSIS; GEOGRAPHIC INFORMATION SYSTEMS; MATRIX ALGEBRA; SENSITIVITY ANALYSIS;

EID: 33746906240     PISSN: 15230406     EISSN: None     Source Type: Journal    
DOI: 10.1559/152304006777681706     Document Type: Article
Times cited : (65)

References (35)
  • 2
    • 17744363002 scopus 로고    scopus 로고
    • Losing ground: At what cost?
    • Lincoln, Massachusetts: Massachusetts Audubon Society
    • Breunig, K. 2003. Losing ground: At what cost? Lincoln, Massachusetts: Massachusetts Audubon Society.
    • (2003)
    • Breunig, K.1
  • 3
    • 0024165213 scopus 로고
    • Using spatial autocorrelation analysis to explore the errors in maps generated from remotely sensed data
    • Congalton, R.G. 1988a. Using spatial autocorrelation analysis to explore the errors in maps generated from remotely sensed data. Photogrammetric Engineering & Remote Sensing 54(5):587-92.
    • (1988) Photogrammetric Engineering & Remote Sensing , vol.54 , Issue.5 , pp. 587-592
    • Congalton, R.G.1
  • 4
    • 0024165214 scopus 로고
    • A comparison of sampling schemes used in generating error matrices for assessing the accuracy of maps generated from remotely sensed data
    • Congalton, R.G. 1988b. A comparison of sampling schemes used in generating error matrices for assessing the accuracy of maps generated from remotely sensed data. Photogrammetric Engineering & Remote Sensing 54(5):593-600.
    • (1988) Photogrammetric Engineering & Remote Sensing , vol.54 , Issue.5 , pp. 593-600
    • Congalton, R.G.1
  • 6
    • 0020968740 scopus 로고
    • Assessing Landsat classification accuracy using discrete multivariate statistical techniques
    • Congalton, R.G., R.G. Oderwald, and R.A. Mead. 1983. Assessing Landsat classification accuracy using discrete multivariate statistical techniques. Photogrammetric Engineering & Remote Sensing 49(12):1671-8.
    • (1983) Photogrammetric Engineering & Remote Sensing , vol.49 , Issue.12 , pp. 1671-1678
    • Congalton, R.G.1    Oderwald, R.G.2    Mead, R.A.3
  • 7
    • 0036213079 scopus 로고    scopus 로고
    • Status of land cover classification accuracy assessment
    • Foody, G.M. 2002. Status of land cover classification accuracy assessment. Remote Sensing of Environment 80(1):185-201.
    • (2002) Remote Sensing of Environment , vol.80 , Issue.1 , pp. 185-201
    • Foody, G.M.1
  • 9
    • 33746866018 scopus 로고    scopus 로고
    • An error matrix approach to fuzzy accuracy assessment: The NIMA Geocover Project
    • In: R.S. Lunetta and J.G. Lyon (eds), Boca Raton, Florida: Lewis Publishers
    • Green, K., and R.G. Congalton. 2004. An error matrix approach to fuzzy accuracy assessment: The NIMA Geocover Project. In: R.S. Lunetta and J.G. Lyon (eds), Remote sensing and GIS accuracy assessment. Boca Raton, Florida: Lewis Publishers. pp. 163-72.
    • (2004) Remote Sensing and GIS Accuracy Assessment , pp. 163-172
    • Green, K.1    Congalton, R.G.2
  • 11
    • 0004120190 scopus 로고    scopus 로고
    • Accuracy assessment of remote sensing-derived change detection
    • (ed.) ASPRS Monograph Series. American Society for Photogrammetry and Remote Sensing (ASPRS), Bethesda, Maryland
    • Khorram, S. (ed.) 1999. Accuracy assessment of remote sensing-derived change detection. ASPRS Monograph Series. American Society for Photogrammetry and Remote Sensing (ASPRS), Bethesda, Maryland. 64p.
    • (1999) , pp. 64
    • Khorram, S.1
  • 12
    • 0038283911 scopus 로고    scopus 로고
    • Land cover mapping: An overview and history of the concepts
    • In: J.M. Scott, T.H. Tear, and F. Davis (eds), American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland
    • Lins, K.S., and R.I. Kleckner. 1996. Land cover mapping: An overview and history of the concepts. In: J.M. Scott, T.H. Tear, and F. Davis (eds), Gap analysis: A landscape approach to biodiversity planning. American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland. pp. 57-65.
    • (1996) Gap Analysis: A Landscape Approach to Biodiversity Planning , pp. 57-65
    • Lins, K.S.1    Kleckner, R.I.2
  • 13
    • 1542757190 scopus 로고    scopus 로고
    • Accuracy analysis of remote sensing change detection by rule-based rationality evaluation with post-classification comparison
    • Liu, H., and Q. Zhou. 2004. Accuracy analysis of remote sensing change detection by rule-based rationality evaluation with post-classification comparison. International Journal of Remote Sensing 5(25):1037-50.
    • (2004) International Journal of Remote Sensing , vol.5 , Issue.25 , pp. 1037-10350
    • Liu, H.1    Zhou, Q.2
  • 15
    • 0033540330 scopus 로고    scopus 로고
    • Monitoring land-cover changes: A comparison of change detection techniques
    • Mas, J.F. 1999. Monitoring land-cover changes: A comparison of change detection techniques. International Journal of Remote Sensing 20(1):139-52.
    • (1999) International Journal of Remote Sensing , vol.20 , Issue.1 , pp. 139-152
    • Mas, J.F.1
  • 16
    • 33746914436 scopus 로고    scopus 로고
    • MassGIS (Massachusetts Geographic Information System). Accessible at (accessed 31 January 2002)
    • MassGIS (Massachusetts Geographic Information System). 2002. Accessible at www.state.ma.us/mgis/ (accessed 31 January 2002).
    • (2002)
  • 17
    • 0036327340 scopus 로고    scopus 로고
    • Pixel- and site-based calibration and validation methods for evaluating supervised classification of remotely sensed data
    • Muchoney, D.M., and A.H. Strahler. 2002. Pixel- and site-based calibration and validation methods for evaluating supervised classification of remotely sensed data. Remote Sensing of Environment 81(2-3): 290-9.
    • (2002) Remote Sensing of Environment , vol.81 , Issue.2-3 , pp. 290-299
    • Muchoney, D.M.1    Strahler, A.H.2
  • 20
    • 0036791395 scopus 로고    scopus 로고
    • Statistical methods to partition effects of quantity and location during comparison of categorical maps at multiple resolutions
    • Pontius Jr, R.G. 2002. Statistical methods to partition effects of quantity and location during comparison of categorical maps at multiple resolutions. Photogrammetric Engineering & Remote Sensing 68(10):1041-9.
    • (2002) Photogrammetric Engineering & Remote Sensing , vol.68 , Issue.10 , pp. 1041-1049
    • Pontius Jr., R.G.1
  • 21
    • 4444367297 scopus 로고    scopus 로고
    • Useful techniques of validation for spatially explicit land-change models
    • Pontius Jr, R.G., D. Huffaker, and K. Denman. 2004a. Useful techniques of validation for spatially explicit land-change models. Ecological Modelling 179(4): 445-61.
    • (2004) Ecological Modelling , vol.179 , Issue.4 , pp. 445-461
    • Pontius Jr., R.G.1    Huffaker, D.2    Denman, K.3
  • 22
    • 17744367553 scopus 로고    scopus 로고
    • Effect of category aggregation on map comparison
    • In: M.J. Egenhofer, C. Freksa, and H. J. Miller (eds), GIScience2004
    • Pontius Jr, R.G., and N.R. Malizia. 2004. Effect of category aggregation on map comparison. Lecture Notes in Computer Science 3234. In: M.J. Egenhofer, C. Freksa, and H. J. Miller (eds), GIScience2004. pp. 251-68.
    • (2004) Lecture Notes in Computer Science 3234 , pp. 251-268
    • Pontius Jr., R.G.1    Malizia, N.R.2
  • 23
    • 1242344016 scopus 로고    scopus 로고
    • Detecting important categorical land changes while accounting for persistence
    • Pontius Jr, R.G., E. Shusas, and M. McEachern. 2004b. Detecting important categorical land changes while accounting for persistence. Agriculture, Ecosystems & Environment 101(2-3):251-68.
    • (2004) Agriculture, Ecosystems & Environment , vol.101 , Issue.2-3 , pp. 251-268
    • Pontius Jr., R.G.1    Shusas, E.2    McEachern, M.3
  • 24
    • 4444274542 scopus 로고    scopus 로고
    • Components of agreement in categorical maps at multiple resolutions
    • In: R.S. Lunetta and J.G. Lyon (eds), Boca Raton, Florida: Lewis Publishers
    • Pontius Jr, R.G., and B. Suedmeyer. 2004. Components of agreement in categorical maps at multiple resolutions. In: R.S. Lunetta and J.G. Lyon (eds), Remote sensing and GIS accuracy assessment. Boca Raton, Florida: Lewis Publishers. pp. 233-51.
    • (2004) Remote Sensing and GIS Accuracy Assessment , pp. 233-251
    • Pontius Jr., R.G.1    Suedmeyer, B.2
  • 25
    • 30844437069 scopus 로고    scopus 로고
    • A generalized cross-tabulation matrix for comparing soft-classified maps at multiple resolutions
    • Pontius Jr, R.G., and M.L. Cheuk. 2006. A generalized cross-tabulation matrix for comparing soft-classified maps at multiple resolutions. International Journal of Geographical Information Science 20(1):1-30.
    • (2006) International Journal of Geographical Information Science , vol.20 , Issue.1 , pp. 1-30
    • Pontius Jr., R.G.1    Cheuk, M.L.2
  • 26
    • 1942452360 scopus 로고    scopus 로고
    • Remote sensing technology for mapping and monitoring land-cover and land-use change
    • Rogan, J., and D. Chen. 2003. Remote sensing technology for mapping and monitoring land-cover and land-use change. Progress in Planning 61(4):301-25.
    • (2003) Progress in Planning , vol.61 , Issue.4 , pp. 301-325
    • Rogan, J.1    Chen, D.2
  • 28
    • 0024855524 scopus 로고
    • Digital change detection techniques using remotely sensed data
    • Singh, A. 1989. Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing 10(6):989-1003.
    • (1989) International Journal of Remote Sensing , vol.10 , Issue.6 , pp. 989-1003
    • Singh, A.1
  • 29
    • 0344654801 scopus 로고    scopus 로고
    • Estimation and mapping of misclassification probabilities for thematic land cover maps
    • Steele, B.M., J.C. Winne, and R.L. Redmond. 1998. Estimation and mapping of misclassification probabilities for thematic land cover maps. Remote Sensing of Environment 66(2):192-202.
    • (1998) Remote Sensing of Environment , vol.66 , Issue.2 , pp. 192-202
    • Steele, B.M.1    Winne, J.C.2    Redmond, R.L.3
  • 30
    • 0031255580 scopus 로고    scopus 로고
    • Selecting and interpreting measures of thematic classification accuracy
    • Stehman, S.V. 1997. Selecting and interpreting measures of thematic classification accuracy. Remote Sensing of Environment 62(1):77-89.
    • (1997) Remote Sensing of Environment , vol.62 , Issue.1 , pp. 77-89
    • Stehman, S.V.1
  • 31
    • 0034983236 scopus 로고    scopus 로고
    • Statistical rigor and practical utility in thematic map accuracy assessment
    • Stehman, S.V. 2001. Statistical rigor and practical utility in thematic map accuracy assessment. Photogrammetric Engineering & Remote Sensing 67(6): 727-34.
    • (2001) Photogrammetric Engineering & Remote Sensing , vol.67 , Issue.6 , pp. 727-734
    • Stehman, S.V.1
  • 32
    • 0032084126 scopus 로고    scopus 로고
    • Design and analysis for thematic map accuracy assessment: Fundamental principles
    • Stehman, S.V., and R.L. Czaplewski. 1998. Design and analysis for thematic map accuracy assessment: Fundamental principles. Remote Sensing of Environment 64(3):331-44.
    • (1998) Remote Sensing of Environment , vol.64 , Issue.3 , pp. 331-344
    • Stehman, S.V.1    Czaplewski, R.L.2
  • 33
    • 0032826393 scopus 로고    scopus 로고
    • Reducing misregistration effects for pixel-level change detection
    • Stow, D.A. 1999. Reducing misregistration effects for pixel-level change detection. International Journal of Remote Sensing 20(12):2477-83.
    • (1999) International Journal of Remote Sensing , vol.20 , Issue.12 , pp. 2477-2483
    • Stow, D.A.1
  • 35
    • 0037052858 scopus 로고    scopus 로고
    • Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area
    • Yang, X., and C.P Lo. 2002. Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area. International Journal of Remote Sensing 23(9):1775-98.
    • (2002) International Journal of Remote Sensing , vol.23 , Issue.9 , pp. 1775-1798
    • Yang, X.1    Lo, C.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.