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Multimodal Wildland Fire Smoke Detection
Research has shown that climate change creates warmer temperatures and drier conditions, leading to longer wildfire seasons and increased wildfire risks in the United States.
Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing
In this paper, we present a novel approach for using composable systems in the intersection between scientific computing, artificial intelligence (AI), and remote sensing domain.
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection
Early detection of fire ignitions from initial smoke can assist the response to such fires before they become difficult to manage.
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