Graduate Thesis Or Dissertation
 

A comparative study of two land classification systems for use with remote sensor data

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/th83m252c

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  • Two standardized land classification systems designed for use with remote sensor data were studied comparatively. One of tile classification systems is proposed for review and testing in U. S. 0.S. Circular 671 (Legend I) (Anderson et al., 1972); the other is a hierarchial legend system in use since 1968 (Legend II) (Poulton, 1972). Both of these classification systems could be adopted for use by federal, state, and local agencies. Both are proposed for general use throughout the United States. The basic objective of this study was to determine through multistage sampling and photo interpretation testing, the advantages and disadvantages in each of these two land-use and resource classification systems. Each legend system was tested in terms of photo identification accuracy, ease of use, and completeness of land-use and resource categories. First level legend units from the two systems were mapped on a State of Oregon ERTS-1 space photo mosaic. The mapping effort was verified by a ground truth check. The results showed that 90 percent of the primary categories under Legend I, and 94 percent of the primary categories under Legend II were correctly interpreted. Second level legend units were mapped on high flight color infrared photography (scale 1:120, 000) taken over Marion County, Oregon. Results showed 88 percent of the secondary categories under Legend I, and 83 percent of the categories under Legend II to be correctly interpreted. A photo interpretation test was performed with a total of 15 different interpreters. The test involved identification of previously mapped categories on ERTS-1 and high flight imagery; and photographs taken of land-use subjects at ground level. Results of the test showed interpreters generally chose similar or analogous categories from the two systems when classifying test sites. Test sites classified by the interpreters and compared against a key were statistically analyzed by analysis of variance. The analysis showed no significant differences in the ability of interpreters to classify land-use subjects from either legend system. Extreme variation in the ability of interpreters to identify test sites existed between experience groups. Individuals with the most prior photo and land-use interpretation experience consistently identified test sites more accurately on ERTS-1 and high flight photos than the less experienced interpreters. A consolidated legend system for use with remote sensing data has been suggested. This legend draws together categories under Legends I and II that have the highest probability of being identified on space and high flight imagery, and which provide the most information at first and second levels of classification.
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