Geoscience Reference
In-Depth Information
Fitzpatrick-Lins, K., Comparison of sampling procedures and data analysis for a land-use and land-cover map.
, 47, 343-351, 1981.
Foody, G.M., On the compensation for chance agreement in image classification accuracy assessment,
Photogram. Eng. Remote Sens.
Pho-
, 58, 1459-1460, 1992.
Foody, G.M., Status of land cover accuracy assessment,
togram. Eng. Remote Sens.
, 80, 185-201, 2002.
Hammond, T.O. and D.L. Verbyla, Optimistic bias in classification accuracy assessment,
Remote Sens. Environ.
Int. J. Remote Sens.
,
17, 1261-1266, 1996.
Jones, K.B., L.R. Williams, A.M. Pitchford, E.T. Slonecker, J.D. Wickham, R.V. O'Neill, D. Garofalo, and
W.G. Kepner, A National Assessment of Landscape Change and Impacts to Aquatic Resources: A 10-
Year Strategic Plan for the Landscape Sciences Program, EPA/600/R-00/001, U.S. Environmental
Protection Agency, Office of Research and Development, Washington, DC, 2000.
Kepner, W.G., C.J. Watts, and C.M. Edmonds, Remote Sensing and Geographic Information Systems for
Decision Analysis in Public Resource Administration: A Case Study of 25 Years of Landscape Change
in a Southwestern Watershed, EPA/600/R-02/039, U.S. Environmental Protection Agency, Office of
Research and Development, Washington, DC, 2002.
Kepner, W.G., C.J. Watts, C.M. Edmonds, J.K. Maingi, S.E. Marsh, and G. Luna, A landscape approach for
detecting and evaluating change in a semi-arid environment.
Environ. Monit. Assess.
, 64, 179-195,
2000.
Kyriakidis, P.C. and J.L. Dungan, A geostatistical approach for mapping thematic classification accuracy and
evaluating the impact of inaccurate spatial data on ecological model predictions,
Environ. Ecol. Stat.
,
8, 311-330, 2001.
Lunetta, R.L., J.G. Lyon, J.A. Sturdevant, J.L. Dwyer, C.D. Elvidge, L.K. Fenstermaker, D. Yuan, S.R. Hoffer,
and R. Werrackoon, North American Landscape Characterization: Research Plan, EPA/600/R-93/135,
U.S. Environmental Protection Agency, Las Vegas, NV, 1993.
Ma, Z. and R.L. Redmond, Tau coefficients for accuracy assessment of classification of remote sensing data,
., 61, 435-439, 1995.
Maingi, J.K., S.E. Marsh, W.G. Kepner, and C.M. Edmonds, An Accuracy Assessment of 1992 Landsat-MSS
Derived Land Cover for the Upper San Pedro Watershed (U.S./Mexico), EPA/600/R-02/040, U.S.
Environmental Protection Agency, Office of Research and Development, Washington, DC, 2002.
Marsh, S.E., J.L. Walsh, and C. Sobrevila, Evaluation of airborne video data for land-cover classification
accuracy assessment in an isolated Brazilian forest,
Photogram. Eng. Remote Sens
, 48, 61-69, 1994.
McClaran, M., S.E. Marsh, D. Meko, S.M. Skirvin, and S.E. Drake. Evaluation of the Effects of Global
Climate Change on the San Pedro Watershed: Final Report, Cooperative Agreement No. A950-A1-
0012 between the University of Arizona and the U.S. Geological Survey, Biological Resource Division,
1999.
NOAA (National Oceanic and Atmospheric Administration), Climate Prediction Center: ENSO Impacts on
the U.S.: Previous Events, Web page [accessed 22 October 2002], available at http://
www.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ensoyears.html.
Rosenfield, G.H. and K. Fitzpatrick-Lins, A coefficient of agreement as a measure of thematic classification
accuracy,
Remote Sens. Environ.
, 52, 223-227, 1986.
Skirvin, S.M., S.E. Drake, J.K. Maingi, S.E. Marsh, and W.G. Kepner, An Accuracy Assessment of 1997
Landsat Thematic Mapper Derived Land Cover for the Upper San Pedro Watershed (U.S./Mexico),
EPA/600/R-00/097, U.S. Environmental Protection Agency, Office of Research and Development,
Washington, DC, 2000.
Stehman, S.V., Selecting and interpreting measures of thematic classification accuracy,
Photogram. Eng. Remote Sens.
Remote Sens. Environ.
,
62, 77-89, 1997.
Stehman, S.V. and R.L. Czaplewski, Design and analysis for thematic map accuracy assessment: fundamental
principles,
, 64, 331-344, 1998.
USEPA (U.S. Environmental Protection Agency), Upper San Pedro River, Web page [accessed 17 October
2002]. Available at http://www.epa.gov/nerlesd1/land-sci/html2/sanpedro_home.html.
van Genderen, J.L. and B.F. Lock, Testing land use map accuracy,
Remote Sens. Environ.
Photogram. Eng. Remote Sens.
, 43,
1135-1137, 1977.
Wilson, T.B., R.H. Webb, and T.L. Thompson, Mechanisms of Range Expansion and Removal of Mesquite
in Desert Grasslands of the Southwestern United States, General Technical Report RMRS-GTR-81,
U.S. Forest Service, Rocky Mountain Research Station, 2001.
