Improving global land cover fraction change mapping using temporal deep learning
Monitoring land cover changes becomes increasingly vital in light of climate change and urban and industrial expansion. Land cover, however, is often expressed in discrete categories, which can oversimplify transitional and heterogeneous areas. Instead, by mapping land cover types as fractions, one...
Furkejuvvon:
| Váldodahkkit: | , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
Elsevier
2025-11-01
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| Ráidu: | International Journal of Applied Earth Observations and Geoinformation |
| Fáttát: | |
| Liŋkkat: | http://www.sciencedirect.com/science/article/pii/S1569843225005746 |
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