Optimal sample size and composition for crop classification with Sen2-Agri’s random forest classifier
Sen2-Agri is a software system that was developed to facilitate the use of multi-temporal satellite data for crop classification with a random forest (RF) classifier in an operational setting. It automatically ingests and processes Sentinel-2 and LandSat 8 images. Our goal was to provide practitione...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
MDPI
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/128426 |
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