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Machine learning-guided field site selection for river classification
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AI
DOI：10.1016/j.jag.2025.104742.png)
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Abstract
En 中文
• AI can help experts locate best spots to sample nature. • Human–in–the–loop ML framework optimizes reach-scale field site selection. • High-uncertainty field sites capture previously unrecognized stream types. • Replacement method preserves geomorphic characteristics for inaccessible sites.
Keywords:
River classification
Machine learning
Field site selection
Prior datasets
Uncertainty information
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