Automatic training sample collection utilizing multi-source land cover products and time-series Sentinel-2 images
Collecting reliable training samples plays a crucial role in improving the accuracy of land cover (LC) mapping products, which are essential foundational data for global environmental and climate change research. However, the process is labor-intensive and time-consuming, as it heavily relies on hum...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15481603.2024.2352957 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|