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Updated: Jun 29, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
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Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

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非山体滑坡采样策略对机器学习模型在山体滑坡易感性映射中的影响

Tengfei Gu1,2, Ping Duan3, Mingguo Wang4

  • 1Faculty of Geography, Yunnan Normal University, Kunming, 650500, China.

Scientific reports
|March 27, 2024
PubMed
概括

阳性未标记 (PU) 袋装方法显著改善了用于绘制山体滑坡易感性地图的非山体滑坡样本选择. 这种方法与CatBoost相结合,在高风险区域提供更高的预测准确度.

关键词:
在 CatBoost 中使用 CatBoost.容易发生山体滑坡的易感性机器学习模型的机器学习模型没有滑坡的样本.在PU包装包装.

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Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

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