Fuzzy logic merger of spectral and ecological information for improved montane forest mapping.
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Abstract
Environmental data are often utilized to guide interpretation of spectral information based on context, however, these are also important in deriving vegetation maps themselves, especially where ecological information can be mapped spatially. A vegetation classification procedure is presented which combines a classification of spectral data from Landsat‐5 Thematic Mapper (TM) and environmental data based on topography and fire history. These data were combined utilizing fuzzy logic where assignment of each pixel to a single vegetation category was derived comparing the partial membership of each vegetation category within spectral and environmental classes. Partial membership was assigned from canopy cover for forest types measured from field sampling. Initial classification of spectral and ecological data produced map accuracies of less than 50% due to overlap between spectrally similar vegetation and limited spatial precision for predicting local vegetation types solely from the ecological information. Combination of environmental data through fuzzy logic increased overall mapping accuracy (70%) in coniferous forest communities of northwestern Montana, USA.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Fuzzy logic merger of spectral and ecological information for improved montane forest mapping. |
| Series title | Geocarto International |
| DOI | 10.1080/10106040208542226 |
| Volume | 17 |
| Issue | 1 |
| Year Published | 2002 |
| Language | English |
| Publisher | Taylor and Francis |
| Publisher location | Hong Kong |
| Contributing office(s) | Northern Rocky Mountain Science Center |
| Description | 8 p. |
| First page | 61 |
| Last page | 68 |
| Country | United States |
| State | Montana |
| Other Geospatial | North fork of the Flathead River |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |