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Updated: Jun 18, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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通过集体机器学习在伊朗西部Gamasyab流域加强洪水映射

Mohammad Bashirgonbad1, Behnoush Farokhzadeh2, Vahid Gholami3

  • 1Department of Natural Engineering, Faculty of Natural Resources, Malayer University, Malayer, Iran. m.bashir@malayeru.ac.ir.

Environmental science and pollution research international
|August 1, 2024
PubMed
概括

机器学习模型有效地预测洪水易感性. 一个集成模型,集成地理信息系统 (GIS),在绘制洪水风险方面表现出卓越的性能,这对于减轻洪水事件增加造成的损害至关重要.

关键词:
组合模型组合模型加马萨亚布流域的流域地理信息系统 (GIS) 是一个地理信息系统.随机森林 (RF) 是一个随机的森林.支持矢量机器 (SVM) 是一个支持矢量机器.

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