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multilevel agreement data at the sampled pixel locations were used to construct spatial accuracy maps
for six cover types approximating an Anderson Level I classification for the Mid-Atlantic region. A
set of fuzzy rules was developed that determined degrees of fuzzy membership for cover type
conversion under different conditions of accuracy and cover type dominance. Operations of the fuzzy
rule set created a set of fuzzy cover-type-conversion maps. Fuzzy LC maps were then created from
a combination of six fuzzy cover-type-conversion maps from all cover types. Then, the LC maps were
used to derive several a-cut maps that were binary maps for representative cover types in accordance
with different degrees of fuzzy membership. Finally, landscape indicators were derived from those
binary a-cut LC maps. Variations in the value of indicator values derived from different a-cut maps
illustrated the level of accuracy (uncertainty) associated with watershed-specific indicators.
ACKNOWLEDGMENTS
The authors would like to thank James Wickham, U.S. EPA Technical Director of the Multi-
Resolution Land Characterization (MRLC) consortium, for his valuable remarks. In addition,
comments from Elizabeth R. Smith and Robert O'Neill were greatly appreciated. The first author
gratefully acknowledges partial financial support from the National Science Foundation and
National Oceanic and Atmospheric Administration (Grant SBE-9978052, Brent Yarnal, principal
investigator) and from the U.S. Environmental Protection Agency via cooperative agreement number
R-82880301 with Pennsylvania State University. Any opinions, findings, and conclusions or rec-
ommendations expressed in this material are those of the authors and do not necessarily reflect
those of the National Science Foundation or the U.S. Environmental Protection Agency.
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