| タイトル | Land cover stratification using Landsat Thematic Mapper data in Sahelian and Sudanian woodland and wooded grassland |
| 著者（英） | Franklin, J. |
| 著者所属（英） | NASA Headquarters |
| 発行日 | 1991-01-01
1991 |
| 言語 | eng |
| 内容記述 | A standard methodology for thematic mapping of natural vegetation using remotely sensed imagery and digital image processing was modified to account for the spatial and spectral properties of semi-arid landscapes, and tested in study areas in the Sahelian and Sudanian zones, Mali. A principal components transformation of registered wet and dry season Landsat TM images produced a set of synthetic spectral channels differentiating vegetation cover between seasons, and allowed areas with annual grass growth to be distinguished from areas with woody cover. The transformed data were statistically clustered and clusters were assigned to vegetation type and density categories. In a separate step, the images were manually interpreted to differentiate broad soil classes. Four statistics were compared to evaluate the accuracy of the maps based on sample points from air photos. For the relatively detailed categories initially defined, map accuracies were substandard; however, when vegetation density classes were aggregated, overall accuracy was around 90 percent, and class accuracy was greater than 80 percent for most classes. This method is suitable for stratification and inventory of woody biomass at a regional scale in semi-arid woodland and wooded grassland. |
| NASA分類 | EARTH RESOURCES AND REMOTE SENSING |
| レポートNO | 93A52599 |
| 権利 | Copyright |
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