FLORA is an octree-based deep learning framework with auxiliary data fusion that predicts forest attributes from heterogeneous LiDAR, achieving rRMSE of 12.3% for dominant height and 39% for total volume on 32k French NFI plots.
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The paper frames 'AI against sustainability' as a missing category in current debates and calls for a three-pronged response of strengthened regulation, proactive industry self-commitment, and constructive stakeholder dialogue.
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FLORA: A deep learning approach to predict forest attributes from heterogeneous LiDAR data
FLORA is an octree-based deep learning framework with auxiliary data fusion that predicts forest attributes from heterogeneous LiDAR, achieving rRMSE of 12.3% for dominant height and 39% for total volume on 32k French NFI plots.
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Tackling "AI against sustainability"
The paper frames 'AI against sustainability' as a missing category in current debates and calls for a three-pronged response of strengthened regulation, proactive industry self-commitment, and constructive stakeholder dialogue.