Classification results for each Case
Abstract
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.
Fields of Study & Subjects
Coastal wetland ecosystem dynamics
Remote-Sensing Image Classification
Wetland Management and Conservation
Publication details
- Journal / source
- Figshare
- Publication date
- 4 March 2026
- Language
- EN
- Document type
- Dataset