메뉴 건너뛰기




Volumn 108, Issue 1, 2007, Pages 59-73

Mapping moderate-scale land-cover over very large geographic areas within a collaborative framework: A case study of the Southwest Regional Gap Analysis Project (SWReGAP)

Author keywords

Collaborative projects; Decision tree classifiers; Gap Analysis Program (GAP); Geographic information systems; Land cover mapping; Large area mapping; Meso scale mapping; Moderate scale mapping; Remote sensing; Southwestern U.S.; Vegetation mapping

Indexed keywords

DATA REDUCTION; DECISION TREES; ECOSYSTEMS; GEOGRAPHIC INFORMATION SYSTEMS; LAND USE; PROJECT MANAGEMENT;

EID: 34047273026     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2006.11.008     Document Type: Article
Times cited : (97)

References (45)
  • 1
    • 0002227834 scopus 로고
    • Descriptions of the ecoregions of the United States
    • USDA, Forest Service. 108 pp
    • Bailey R.G. Descriptions of the ecoregions of the United States. Miscellaneous Publication. Second edition Vol. 1391 (1995), USDA, Forest Service. 108 pp
    • (1995) Miscellaneous Publication. Second edition , vol.1391
    • Bailey, R.G.1
  • 5
    • 0029659966 scopus 로고    scopus 로고
    • Image-based atmospheric corrections-Revisited and improved
    • Chavez Jr. P.S. Image-based atmospheric corrections-Revisited and improved. Photogrammetric Engineering and Remote Sensing 62 9 (1996) 1025-1036
    • (1996) Photogrammetric Engineering and Remote Sensing , vol.62 , Issue.9 , pp. 1025-1036
    • Chavez Jr., P.S.1
  • 8
    • 0032216156 scopus 로고    scopus 로고
    • Global land-cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers
    • DeFries R.S., Hansen M., Townshend J.R.G., and Sohlberg R. Global land-cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers. International Journal of Remote Sensing 19 (1998) 3141-3168
    • (1998) International Journal of Remote Sensing , vol.19 , pp. 3141-3168
    • DeFries, R.S.1    Hansen, M.2    Townshend, J.R.G.3    Sohlberg, R.4
  • 9
    • 34047253290 scopus 로고    scopus 로고
    • Edwards T. C. Jr., Homer, C. G., Bassett, S. D., Falconer, A., Ramsey, R. D., & Wight, D. W. (1995). Utah Gap Analysis: An environmental information system, Final Project Report 95-1, Utah Cooperative Fish and Wildlife Research Unit, Utah State University.
  • 11
    • 34047245510 scopus 로고    scopus 로고
    • Eve, M. & Merchant, J. (1998). A national survey of land-cover mapping protocols used in the gap analysis program. Final Report. Internet WWW page, at URL: http://www.calmit.unl.edu/gapmap/report.html
  • 12
    • 34047254006 scopus 로고    scopus 로고
    • Using decision tree modeling in GAP analysis land-cover mapping: Preliminary results for northeastern Arizona
    • van Riper III C., and Mattson D.J. (Eds), The University of Arizona Press, Tucson, AZ
    • Falzarano S., Thomas K., and Lowry J. Using decision tree modeling in GAP analysis land-cover mapping: Preliminary results for northeastern Arizona. In: van Riper III C., and Mattson D.J. (Eds). The Colorado Plateau II: Biophysical, socioeconomic, and cultural research (2005), The University of Arizona Press, Tucson, AZ 87-99
    • (2005) The Colorado Plateau II: Biophysical, socioeconomic, and cultural research , pp. 87-99
    • Falzarano, S.1    Thomas, K.2    Lowry, J.3
  • 13
    • 77950916399 scopus 로고    scopus 로고
    • Fuzzy set and spatial analyses of thematic accuracy of a land-cover map
    • Lunnetta R., and Lyon J.G. (Eds), CRC Press, Boca Raton, FL
    • Falzarano S.R., and Thomas K.A. Fuzzy set and spatial analyses of thematic accuracy of a land-cover map. In: Lunnetta R., and Lyon J.G. (Eds). Remote sensing and GIS accuracy assessment (2004), CRC Press, Boca Raton, FL 189-207
    • (2004) Remote sensing and GIS accuracy assessment , pp. 189-207
    • Falzarano, S.R.1    Thomas, K.A.2
  • 14
    • 0344972104 scopus 로고    scopus 로고
    • Decision tree classification of land-cover from remotely sensed data
    • Friedl M.A., and Brodley C.E. Decision tree classification of land-cover from remotely sensed data. Remote Sensing of Environment 61 (1997) 399-409
    • (1997) Remote Sensing of Environment , vol.61 , pp. 399-409
    • Friedl, M.A.1    Brodley, C.E.2
  • 15
    • 0033100735 scopus 로고    scopus 로고
    • Maximizing land-cover classification accuracies produced by decision trees at continental to global scales
    • Friedl M.A., Brodley C.E., and Strahler A.H. Maximizing land-cover classification accuracies produced by decision trees at continental to global scales. IEEE Transactions on Geoscience and Remote Sensing 37 2 (1999) 969-977
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , Issue.2 , pp. 969-977
    • Friedl, M.A.1    Brodley, C.E.2    Strahler, A.H.3
  • 18
    • 34047257569 scopus 로고    scopus 로고
    • Halvorson, W., Thomas, K., & Graham, L. (2001). The Arizona Gap Project Final Report. Special Technical Report, USGS Sonoran Desert Field Station, University of Arizona, Tucson.
  • 19
    • 0029667616 scopus 로고    scopus 로고
    • Classification trees: An alternative to traditional land-cover classifiers
    • Hansen M., Dubayah R., and DeFries R. Classification trees: An alternative to traditional land-cover classifiers. International Journal of Remote Sensing 17 5 (1996) 1075-1081
    • (1996) International Journal of Remote Sensing , vol.17 , Issue.5 , pp. 1075-1081
    • Hansen, M.1    Dubayah, R.2    DeFries, R.3
  • 20
    • 0034655867 scopus 로고    scopus 로고
    • Global land-cover classification at 1 km spatial resolution using a classification tree approach
    • Hansen M.C., DeFries R.S., Townsend J.R.G., and Sohlberg R. Global land-cover classification at 1 km spatial resolution using a classification tree approach. International Journal of Remote Sensing 21 6&7 (2000) 1331-1364
    • (2000) International Journal of Remote Sensing , vol.21 , Issue.6-7 , pp. 1331-1364
    • Hansen, M.C.1    DeFries, R.S.2    Townsend, J.R.G.3    Sohlberg, R.4
  • 22
    • 34047253657 scopus 로고    scopus 로고
    • Homer, C. G. (1998). Nevada land-cover classification metadata. Unpublished document. Dept. of Geography and Earth Resources, Utah State University.
  • 24
    • 0037140239 scopus 로고    scopus 로고
    • Derivation of a Tasseled cap transformation based on Landsat 7 at-satellite reflectance
    • Huang C., Wylie B., Homer C., Yang L., and Zylstra G. Derivation of a Tasseled cap transformation based on Landsat 7 at-satellite reflectance. International Journal of Remote Sensing 23 8 (2002) 1741-1748
    • (2002) International Journal of Remote Sensing , vol.23 , Issue.8 , pp. 1741-1748
    • Huang, C.1    Wylie, B.2    Homer, C.3    Yang, L.4    Zylstra, G.5
  • 27
    • 1842431416 scopus 로고    scopus 로고
    • Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis
    • Lawrence R., Bunn A., Powell S., and Zambon M. Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis. Remote Sensing of Environment 90 (2004) 331-336
    • (2004) Remote Sensing of Environment , vol.90 , pp. 331-336
    • Lawrence, R.1    Bunn, A.2    Powell, S.3    Zambon, M.4
  • 28
    • 0035679049 scopus 로고    scopus 로고
    • Rule-based classification systems using classification and regression trees (CART) analysis
    • Lawrence R.L., and Wright A. Rule-based classification systems using classification and regression trees (CART) analysis. Photogrammetric Engineering and Remote Sensing 67 10 (2001) 1137-1142
    • (2001) Photogrammetric Engineering and Remote Sensing , vol.67 , Issue.10 , pp. 1137-1142
    • Lawrence, R.L.1    Wright, A.2
  • 29
    • 0002908173 scopus 로고    scopus 로고
    • A protocol for satellite-based land-cover classification in the Upper Midwest
    • Scott J.M., Tear T.H., and Davis F.W. (Eds), American Society for Photogrammetry and Remote Sensing, Bethsheda, MD
    • Lillesand T.M. A protocol for satellite-based land-cover classification in the Upper Midwest. In: Scott J.M., Tear T.H., and Davis F.W. (Eds). Gap analysis: A landscape approach to biodiversity planning (1996), American Society for Photogrammetry and Remote Sensing, Bethsheda, MD 103-118
    • (1996) Gap analysis: A landscape approach to biodiversity planning , pp. 103-118
    • Lillesand, T.M.1
  • 30
    • 0035118577 scopus 로고    scopus 로고
    • Mapping vegetation across large geographic areas: Integration of remote sensing and GIS to classify multisource data
    • Ma Z., Hart M.M., and Redmond R.L. Mapping vegetation across large geographic areas: Integration of remote sensing and GIS to classify multisource data. Photogrammetric Engineering and Remote Sensing 67 3 (2001) 295-307
    • (2001) Photogrammetric Engineering and Remote Sensing , vol.67 , Issue.3 , pp. 295-307
    • Ma, Z.1    Hart, M.M.2    Redmond, R.L.3
  • 31
    • 33645178462 scopus 로고    scopus 로고
    • The development of mapping zones to assist in land-cover mapping over large geographic areas: A case study of the Southwest ReGAP project
    • U.S. Geological Survey, Biological Resources Division http://www.gap.uidaho.edu/Bulletins/9/bulletin9/default.html
    • Manis G., Homer C., Ramsey R.D., Lowry J., Sajwaj T., and Graves S. The development of mapping zones to assist in land-cover mapping over large geographic areas: A case study of the Southwest ReGAP project. GAP Analysis Bulletin Vol. 9 (2000), U.S. Geological Survey, Biological Resources Division. http://www.gap.uidaho.edu/Bulletins/9/bulletin9/default.html http://www.gap.uidaho.edu/Bulletins/9/bulletin9/default.html
    • (2000) GAP Analysis Bulletin , vol.9
    • Manis, G.1    Homer, C.2    Ramsey, R.D.3    Lowry, J.4    Sajwaj, T.5    Graves, S.6
  • 32
    • 44649196826 scopus 로고    scopus 로고
    • Pre-classification: An ecologically predictive landform model
    • U.S. Geological Survey, Biological Resources Division http://www.gap.uidaho.edu/Bulletins/10/preclassification.htm
    • Manis G., Lowry J., and Ramsey R.D. Pre-classification: An ecologically predictive landform model. GAP Analysis Bulletin Vol. 10 (2001), U.S. Geological Survey, Biological Resources Division. http://www.gap.uidaho.edu/Bulletins/10/preclassification.htm http://www.gap.uidaho.edu/Bulletins/10/preclassification.htm
    • (2001) GAP Analysis Bulletin , vol.10
    • Manis, G.1    Lowry, J.2    Ramsey, R.D.3
  • 34
    • 0023486061 scopus 로고    scopus 로고
    • Omernik, J.M. (1987). Ecoregions of the conterminous United States. Map (scale 1:7,500,000). Annals of the Association of American Geographers, 77(1):118-125.
  • 35
    • 0141569007 scopus 로고    scopus 로고
    • An assessment of the effectiveness of decision tree methods for land-cover classification
    • Pal M., and Mather P.M. An assessment of the effectiveness of decision tree methods for land-cover classification. Remote Sensing of Environment 86 (2003) 554-565
    • (2003) Remote Sensing of Environment , vol.86 , pp. 554-565
    • Pal, M.1    Mather, P.M.2
  • 37
    • 34047268057 scopus 로고    scopus 로고
    • RuleQuest Research. (2004). WWW URL: http://www.rulequest.com/index.html (accessed November 8, 2005).
  • 38
    • 34047243908 scopus 로고    scopus 로고
    • Schrupp, D. L., Reiners, W. A., Thompson, T., D'Erschia, F., Owens, T., Driese, K., et al. (2000). Colorado gap analysis project: A geographic approach to planning for biological diversity. Final Report. Colorado Division of Wildlife.
  • 39
    • 0027387364 scopus 로고
    • Gap analysis: A geographic approach to protection of biological diversity
    • Wildlife Society, Bethsheda, MD
    • Scott J.M., Davis F., Csuti B., Noss R.F., Butterfield B., Groves C., et al. Gap analysis: A geographic approach to protection of biological diversity. Wildlife Monographs Vol. 123 (1993), Wildlife Society, Bethsheda, MD 1-41
    • (1993) Wildlife Monographs , vol.123 , pp. 1-41
    • Scott, J.M.1    Davis, F.2    Csuti, B.3    Noss, R.F.4    Butterfield, B.5    Groves, C.6
  • 40
    • 0032084126 scopus 로고    scopus 로고
    • Design and analysis for thematic map accuracy assessment: Fundamental principles
    • Stehman S.V., and Czaplewski R.L. Design and analysis for thematic map accuracy assessment: Fundamental principles. Remote Sensing of Environment 64 (1998) 331-344
    • (1998) Remote Sensing of Environment , vol.64 , pp. 331-344
    • Stehman, S.V.1    Czaplewski, R.L.2
  • 41
    • 34047272735 scopus 로고    scopus 로고
    • Thompson, B. C., Crist, P. J., Prior-Magee, J. S., Dietner, R. A., Garber, D. L., & Hughes, M. A. (1996). Gap analysis of biological diversity conservation in New Mexico using geographic information systems. Research Final Report. New Mexico Cooperative Fish and Wildlife Research Unit, New Mexico State University.
  • 42
    • 0034054414 scopus 로고    scopus 로고
    • Integrating spectral, spatial, and terrain variables for forest ecosystem classification
    • Treitz P., and Howarth P. Integrating spectral, spatial, and terrain variables for forest ecosystem classification. Photogrammetric Engineering and Remote Sensing 66 3 (2000) 305-317
    • (2000) Photogrammetric Engineering and Remote Sensing , vol.66 , Issue.3 , pp. 305-317
    • Treitz, P.1    Howarth, P.2
  • 43
    • 0034983211 scopus 로고    scopus 로고
    • Completion of the 1990s National Land-cover Dataset for the conterminous United States from Landsat Thematic Mapper Data and ancillary data sources
    • Vogelmann J.E., Howard S.M., Yang L., Larson C.R., Wylie B.K., and Van Driel N. Completion of the 1990s National Land-cover Dataset for the conterminous United States from Landsat Thematic Mapper Data and ancillary data sources. Photogrammetric Engineering and Remote Sensing 67 (2001) 650-652
    • (2001) Photogrammetric Engineering and Remote Sensing , vol.67 , pp. 650-652
    • Vogelmann, J.E.1    Howard, S.M.2    Yang, L.3    Larson, C.R.4    Wylie, B.K.5    Van Driel, N.6
  • 45
    • 0033674002 scopus 로고    scopus 로고
    • Accuracy assessment for the U.S. Geological Survey regional land-cover mapping program: New York and New Jersey region
    • Zhu Z., Yang L., Stehman S.V., and Czaplewski R.L. Accuracy assessment for the U.S. Geological Survey regional land-cover mapping program: New York and New Jersey region. Photogrammetric Engineering and Remote Sensing 66 (2000) 1425-1435
    • (2000) Photogrammetric Engineering and Remote Sensing , vol.66 , pp. 1425-1435
    • Zhu, Z.1    Yang, L.2    Stehman, S.V.3    Czaplewski, R.L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.