| Abstract: | Model estimates of impervious area as a function of landcover area may be biased and imprecise because of errors in the land-cover classification. This investigation of the effects of land-cover misclassification on impervious surface models that use National Land Cover Data (NLCD) evaluates the consequences of adjusting land-cover within a watershed to reflect uncertainty assessment information. Model validation results indicate that using error-matrix information to adjust land-cover values used in impervious surface models does not substantially improve impervious surface predictions. Validation results indicate that the resolution of the landcover data (Level I and Level II) is more important in predicting impervious surface accurately than whether the land-cover data have been adjusted using information in the error matrix. Level I NLCD, adjusted for land-cover misclassification, is preferable to the other land-cover options for use in models of impervious surface. This result is tied to the lower classification error rates for the Level I NLCD. ?? 2007 American Society for Photogrammetry and Remote Sensing. |
| Genre: | Article |
| ProdID: | 70031353 |
| Citation Author: | McMahon, G. |
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| Citation End Page: | 1353 |
| Citation Issue: | 12 |
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| Citation Language: | English |
| Citation Larger Work Title: | Photogrammetric Engineering and Remote Sensing |
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| Citation Number Of Pages: | 11 |
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| Citation Search Results Text: | Consequences of land-cover misclassification in models of impervious surface; 2007; Article; Journal; Photogrammetric Engineering and Remote Sensing; McMahon, G. |
| Citation Start Page: | 1343 |
| Citation Volume: | 73 |
| Citation Year: | 2007 |
| Type: | citation/reference |
| Text: | Consequences of land-cover misclassification in models of impervious surface; 2007; Article; Journal; Photogrammetric Engineering and Remote Sensing; McMahon, G. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Mon, 1 Jan 2007 00:00 -0600 |
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