Mapping the invasive Spartina alterniflora in sub-meter level with improved phenological spectral features and deep learning method
The invasion of Spartina alterniflora (S. alterniflora) has severely impacted China’s coastal ecosystems by disrupting native habitats and polluting waters, highlighting the necessity for accurate distribution mapping. Existing studies mainly rely on moderate-resolution remote sensing imagery, like...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2024.2434634 |
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