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Updated: Jun 17, 2025

In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

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基于上升下降轨道的采矿区表面沉降的预测 小基线子集 InSAR 和神经网络优化模型

Kangtai Chang1, Zhifang Zhao2,3,4,5, Dingyi Zhou1

  • 1Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China.

Sensors (Basel, Switzerland)
|August 10, 2024
PubMed
概括

这项研究利用Sentinel-1A数据和先进的人工智能模型增强了开采矿的表面沉降预测. 优化的算法显著提高了预测准确度,这对于减轻采矿相关的地质危险至关重要.

关键词:
这是SBAS-InSAR.哨兵-1AA 卫星是一个卫星.优化算法优化算法沉降预测沉降预测两个维的变形分解分解.

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Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt07:58

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