Published October 17, 2024 | Version v1

Samples and 4-class predictions of agroforest-forest frontiers mapping in Peru

  • 1. ROR icon University of Copenhagen

Contributors

Researcher:

  • 1. ROR icon University of Copenhagen

Description

This is a database for the study of agroforest-forest frontiers mapping conducted by Wanting Yang, etc.

The data contained in the repository includes two parts.

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.

2. the prediction from the 4-class model.

Users can visualize the data with QGIS or other GIS software.

Files

all_4classes.zip

Files (495.6 MB)

Name Size
md5:d7317948db34adfbc3a32cc1a270c241
492.3 MB Preview Download
md5:2cd2d378d720c7d25202879d1101334e
3.2 MB Preview Download