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New AI Framework Achieves 92.77% Accuracy in Mapping Karst Wetland Vegetation
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New AI Framework Achieves 92.77% Accuracy in Mapping Karst Wetland Vegetation
Accurate classification of wetland vegetation is essential for biodiversity conservation and carbon cycle monitoring. A study published in Journal of Remote Sensing on October 16, 2025, introduces an adaptive ensemble learning stacking (AEL-Stacking) framework that combines hyperspectral imagery and light detection and ranging (LiDAR) data captured by unmanned aerial vehicles (UAVs) to precisely identify vegetation species in karst wetlands. The…
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