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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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Copernicus Publications
2026-03-01
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| Schriftenreihe: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online-Zugang: | 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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