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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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通过基于回归和软计算的机器学习增强标准化降水蒸发透气指数预测,用于伊朗的干旱和超干旱地区

Saeid Bour1, Zahra Kayhomayoon2, Farhad Hassani3

  • 1Department of Civil Engineering, Islamic Azad University Nour Branch, Nur, Iran.

PloS one
|March 18, 2025
PubMed
概括

机器学习模型有效地预测了标准化降水蒸发透气指数 (SPEI) 干旱指数. 整合大规模的气候信号可以提高各种气候的干旱预测准确度.

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