Land subsidence prediction in Zhengzhou's main urban area using the GTWR and LSTM models combined with the Attention Mechanism

Author:

Yuan Yonghao,Zhang Dujuan,Cui Jian,Zeng Tao,Zhang Gubin,Zhou Wenge,Wang Jinyang,Chen Feng,Guo Jiahui,Chen Zugang,Guo Hengliang

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference61 articles.

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2. Estimation, modeling, and prediction of land subsidence using Sentinel-1 time series in Tehran-Shahriar plain: a machine learning-based investigation;Azarakhsh;Remote Sensing Applications: Society and Environment.,2022

3. Land subsidence from interferometric SAR and groundwater patterns in the Qazvin plain, Iran;Babaee;Int. J. Remote Sens.,2020

4. Spatiotemporal characterization of land subsidence and uplift (2009–2010) over Wuhan in Central China revealed by TerraSAR-X InSAR analysis;Bai;Remote Sens.,2016

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