Combined gated graph convolution neural networks with multi-modal geospatial data for forest type classification
Forest type classification is essential for the monitoring and management of forests, with significant implications for environmental protection and the mitigation of climate change. However, challenges such as multiscale variations, heterogeneous boundaries, mountainous terrain, and unbalanced data...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225000196 |