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Impacts of Patch Size and Land Cover Heterogeneity on Thematic Image Classification Accuracy

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Abstract:
Landscape characteristics such as small patch size and land cover heterogeneity have been hypothesized to increase the likelihood of miss-classifying pixels during thematic image classification. However, there has been a lack of empirical evidence to support these hypotheses, This study utilizes data gathered as part of the accuracy assessment of the I M National Land Cover Data (NLCD) set to identify and quantify the impacts of landscape heterogeneity and patch size. Logistic regression was utilized to assess the impacts of these variables, as well as the impact of land cover information. Guided step-wise procedures were utilized to assess the explanatory variables individually and with one another. The results reveal that accuracy decreases as land cover heterogeneity increases and as patch size decreases. These impacts remain significant in the presence of the land cover variables, thus signifying that they transcend the classification system utilized.
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Citation: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. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING 68(1):65-70, (2002).
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Contact: Chris Siebert - (702) 798-2234 or siebert.christopher@epa.gov
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Division: Environmental Sciences Division
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Branch: Landscape Characterization Branch (RTP)
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Product Type: Journal
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Published: 01/06/2002
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Related Entries:
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Bullet Item Landscape Characterization and Change Detection Methods Development Research (2005-2007)
spacer Relationship Reason:   A Project of the Product
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Last Updated on Monday, October 22, 2007
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