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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