Classification results for each Case

This dataset contains marsh-type distribution data for selected study areas along the Georgia Coast (U.S.A.). For each study area, two NAIP imagery scenes from 2021 and 2015 were used. Classifications were produced by applying a Random Forest algorithm to the NAIP imagery, calibrated with year-specific ground-truth data. The resulting maps were then used to evaluate the temporal transferability of a fractional cover estimation model for marsh-type classification.