Sat-SINR: High-Resolution Species Distribution Models Through Satellite Imagery
We propose a deep learning approach for high-resolution species distribution modelling (SDM) at large scale combining point-wise, crowd-sourced species observation data and environmental data with Sentinel-2 satellite imagery. What makes this task challenging is the great variety of controlling fact...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2024-06-01
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| coleção: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Acesso em linha: | https://isprs-annals.copernicus.org/articles/X-2-2024/41/2024/isprs-annals-X-2-2024-41-2024.pdf |
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