Multimodal Fusion for Deforestation Detection: Integrating Weather and Satellite Alerts with Deep Learning
This paper presents a multimodal deep learning framework for deforestation detection that integrates satellite-based deforestation alerts (<em>DETER</em>) with weather and atmospheric variables (<em>WF</em>). While we hypothesized that <em>WF</em> could provide complementary signals for short-term d...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Copernicus Publications
2026-03-01
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| Seri Bilgileri: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Erişim: | https://isprs-annals.copernicus.org/articles/X-3-W4-2025/121/2026/isprs-annals-X-3-W4-2025-121-2026.pdf |
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