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Quantifying the contribution of multiple factors to land subsidence using artificial intelligence technology in the typical area of Beijing, China
Author(s) -
Ruhong Cheng,
Lin Zhu,
Haitao Li,
Jie Yu,
Lin Guo,
Leyin Hu,
Yuguo Li
Publication year - 2019
Publication title -
el sawah, s. (ed.) modsim2019, 23rd international congress on modelling and simulation.
Language(s) - English
Resource type - Conference proceedings
DOI - 10.36334/modsim.2019.k18.chengr
Subject(s) - beijing , china , subsidence , remote sensing , computer science , environmental science , geology , geography , geomorphology , archaeology , structural basin

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