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Updated: May 21, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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推进洪水风险评估:使用转移学习和混合模糊-AHP-机器学习进行基于多时间SAR的洪水库存生成,用于在马哈南达河流域的洪水易感性测绘

Chiranjit Singha1, Satiprasad Sahoo2, Alireza Bahrami Mahtaj3

  • 1Department of Agricultural Engineering, Institute of Agriculture, Visva-Bharati (A Central University), Sriniketan, Birbhum, 731236, India.

Journal of environmental management
|March 22, 2025
PubMed
概括

这项研究利用遥感和机器学习绘制了马哈南达河流域洪水易感性的地图,确定了土地使用和土壤类型等关键因素. 调查结果有助于为该地区制定更好的洪水风险管理战略.

关键词:
气候变化场景 (SSP2-4.5 的情况).洪水清单库存 洪水清单库存洪水易感性 (FS) 绘制地图在 FuzzyAHP 里面,机器学习 (ML) 是指机器学习.马哈南达河流域的河流盆地在SHAP分析中,我们分析了SHAP.在SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP5-8.5中,SSP-转移学习转移学习

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