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Updated: Jun 22, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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曼谷附近的土地沉降:使用InSAR和机器学习的原因和长期趋势分析

Sakina Ahmed1, Yusuke Hiraga1, So Kazama1

  • 1Department of Civil and Environmental Engineering, Tohoku University, Sendai, Japan.

The Science of the total environment
|June 28, 2024
PubMed
概括

曼谷的土地沉降情况在周边省份恶化,尽管市内有改善. 使用InSAR和机器学习的未来预测显示,沉降率越来越高,取决于未来情景,趋势会有所不同.

关键词:
在曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷曼谷随机的森林 随机的森林一个SSP-RCP的场景.卫星监控 卫星监控 卫星监控在此之前,我一直在研究Subsidence.

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