Rapid Classification of Landsat TM Imagery for Phase 1 Stratification Using the Automated NDVI Threshold Supervised Classification (ANTSC) Methodology

FIA annual inventories require rapid updating of pixel-based Phase 1 estimates. Scientists at the Southern Research Station are developing an automated methodology that uses a Normalized Difference Vegetation Index (NDVI) for identifying and eliminating problem FIA plots from the analysis. Problem plots are those that have questionable land use/land cover information. Four Landsat TM scenes in Georgia have been classified using this methodology. A cross-validation approach was used to assess accuracy. The results are compared with an alternative methodology: the Iterative Guided Spectral Class Rejection (IGSCR) methodology.