Geoscience Reference
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Muller, S.V., D.A. Walker, F.E. Nelson, N.A. Auerbach, J.G. Bockheim, S. Guyer, and D. Sherba, Accuracy
assessment of a land-cover map of the Kuparuk River Basin, Alaska: considerations for remote regions,
Photogram. Eng. Remote Sens., 64, 619-628, 1998.
Smith, J.H., J.D. Wickham, S.V. Stehman, and L. Yang, Impacts of patch size and land-cover heterogeneity
on thematic image classification accuracy, Photogram. Eng. Remote Sens ., 68, 65-70, 2001.
Steele, B.M., J.C. Winne, and R.L. Redmond, Estimation and mapping of misclassification probabilities for
thematic land cover maps, Remote Sens. Environ., 66, 192-202, 1998.
Stehman, S.V., J.D. Wickham, L. Yang, and J.H. Smith, Assessing the accuracy of large-area land cover maps:
experiences from the Multi-Resolution Land-Cover Characteristics (MRLC) project, in Proceedings
of the Fourth International Symposium on Spatial Accuracy Assessment in Natural Resources and
Environmental Sciences, Heuvelink, G.B.M. and M.J.P.M. Lemmens, Eds., Amsterdam, July 12-14,
2000, pp. 601-608.
Story, M. and R.G. Congalton, Accuracy assessment: a user's perspective, Photogram. Eng. Remote Sens ., 52,
397-399, 1986.
Townsend, P., A quantitative fuzzy approach to assess mapped vegetation classifications for landscape appli-
cations, Remote Sens. Environ., 72, 253-267, 2000.
Townshend, J.R.G., C. Huang, S.N.V. Kalluri, R.S. DeFries, and S. Liang, Beware of per-pixel characterization
of land cover, Int. J. Remote Sens., 21, 839-843, 2000.
Tran, L.T., M.A. Ridgley, L. Duckstein, and R. Sutherland, Application of fuzzy logic-based modeling to
improve the performance of the Revised Universal Soil Loss Equation, Catena 47(ER3), 203-226,
2002.
Verbyla, D.L. and T.O Hammond, Conservative bias in classification accuracy assessment due to pixel-by-
pixel comparison of classified images with reference grids, Int. J. Remote Sens., 16, 581-587, 1995.
Vogelmann, J.E., S.M. Howard, L. Yang, C.R. Larson, B.K. Wylie, and N. Van Driel, Completion of the 1990s
National Land Cover Data Set for the conterminous United States from Landsat Thematic Mapper
data and ancillary data source , Int. J. Remote Sens., 67, 650-662, 2001.
Vogelmann, J.E., T. Sohl, and S.M. Howard, Regional characterization of land cover using multiple sources
of data, Photogram. Eng. Remote Sens., 64, 45-57, 1998.
Woodcock, C. and S. Gobal, Fuzzy set theory and thematic maps: accuracy assessment and area estimation ,
Int. J. Geogr. Info. Sci., 14, 153-172, 2000.
Yang, L., S.V. Stehman, J.D. Wickham, J.H. Smith, and N.J. Van Driel, Thematic validation of land cover
data for the eastern United Stated using aerial photography: feasibility and challenges, in Proceedings
of the Fourth International Symposium on Spatial Accuracy Assessment in Natural Resources and
Environmental Sciences, Heuvelink, G.B.M. and M.J.P.M. Lemmens, Eds., Amsterdam, July 12-14,
2000, pp. 747-754.
Yang, L., S.V. Stehman, J.H. Smith, and J.D. Wickham, Thematic accuracy of MRLC land cover for the
eastern United States, Remote Sens. Environ., 76, 418-422, 2001.
Zhang, J. and N. Stuart, Fuzzy methods for categorical mapping with image-based land cover data, Int. J.
Geogr. Info. Sci., 15, 175-195, 2000.
Zhu, Z., L. Yang, S.V. Stehman, and R.L. Czaplewski, Accuracy assessment for the U.S. Geological Survey
regional land cover mapping program: New York and New Jersey region, Photogram. Eng. Remote
Sens., 66, 1425-1435, 2000.
Zhu, Z., L. Yang, S.V. Stehman, and R.L. Czaplewski, Designing an accuracy assessment for a USGS regional
land cover mapping program, in Spatial Accuracy Assessment: Land Information Uncertainty in
Natural Resources , Lowell, K. and A. Jaton, Eds., Sleeping Bear Press/Ann Arbor Press, Chelsea,
MI, 1999, pp. 393-398.
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