zenodoopen
Samples and 4-class predictions of agroforest-forest frontiers mapping in Peru
<p>This is a database for the study of agroforest-forest frontiers mapping conducted by Wanting Yang, etc.</p> <p>The data contained in the repository includes two parts.</p> <p>1. the training samples(polygons and rectagle_roi) annotated with Google Earth as reference. We used Google Earth Pro to make the date of Google Earth imagery match with PlanetScope imagery.</p> <p>2. the prediction from the 4-class model.</p> <p>Users can visualize the data with QGIS or other GIS software.</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0