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Integrating spatiotemporal prior knowledge from co-segmented time-series into factor-driven modeling for forest insect damage warning
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DOI：10.1016/j.jag.2026.105518.png)
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Abstract
En 中文
• A hybrid approach couples spatiotemporal priors with factor-driven FID modeling. • Multi-index co-segmentation ensures a consistent temporal reference across indices. • Geographic priors from historical clustering cut healthy-forest false alarms. • Area control aligns predicted FID area with historical trends, cutting false alarms. • Spatiotemporal priors offset coarse driver resolution and sample scarcity.
Keywords:
Forest insect damage
Hybrid warning approach
Spatiotemporal prior knowledge
Co-segmentation
Satellite time series
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