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Updated: Jun 4, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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普雷索夫市土地表面温度和土地覆盖变化的时空空间分析,使用缩放方法和机器学习算法

Anton Uhrin1, Katarína Onačillová2

  • 1Institute of Geography, Faculty of Science, Pavol Jozef Šafárik University in Košice, Šrobárova 2, 04001, Košice, Slovak Republic. anton.uhrin@student.upjs.sk.

Environmental monitoring and assessment
|January 3, 2025
PubMed
概括

城市化增加了土地表面温度 (LST),加剧了城市热岛 (UHI) 效应. 本研究分析了斯洛伐克普雷索夫的LST和土地覆盖面的变化,使用机器学习来识别易受UHI影响的地区,以改善城市规划.

关键词:
缩小规模缩小规模缩小规模土地覆盖面 土地覆盖面土地表面的温度 地表的温度机器学习分类器 机器学习分类器城市热岛是一个城市热岛.

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