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INFLUENCE OF REMOTE SENSING IMAGERY SOURCE ON QUANTIFICATION OF RIPARIAN LAND COVER/LAND USE
Citation:
Lattin, P. D., P. J. WIGINGTON JR, B. E. Peniston, D. R. Lindeman, T. J. Moser, AND D. R. Oetter. INFLUENCE OF REMOTE SENSING IMAGERY SOURCE ON QUANTIFICATION OF RIPARIAN LAND COVER/LAND USE. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION 40(1):215-227, (2004).
Description:
This paper compares approaches to quantifying land cover/land use (LCLU) in riparian corridors of 23 watersheds in Oregon's Willamette Valley using aerial photography (AP) and Thematic Mapper (TM) imagery. For each imagery source, we quantified LCLU adjacent to stream networks across a range of lateral and longitudinal scales. Single-date AP data had higher LCLU class accuracies than the multi-date TM data, except for row crops. Correlations among LCLU classes for the two imagery sources increased with increased -spatial extent. In general, LCLU proportions for AP and TM differed but lateral-longitudinal patterns were similar. An unmanaged vegetation class (forest, shrub/scrub, and grass/forb) was strongly associated with a fish index of biotic integrity (IBI) for both AP and TM data, although AP correlations were higher. Highest fish IBI correlations for both data sources were with unmanaged vegetation close to the stream and for the longest longitudinal scales. Row crops were strongly associated with stream nitrate for both data sources, although correlations for the TM data were higher. Stream nitrate correlations were strongest for the widest lateral and longest longitudinal scales. Overall, TM imagery appears to have good potential for use in estimating indicators of stream ecological condition.