InSAR time-series analysis and susceptibility mapping for land subsidence in Semarang, Indonesia using convolutional neural network and support vector regression-Reference-Cited by-同舟云学术

InSAR time-series analysis and susceptibility mapping for land subsidence in Semarang, Indonesia using convolutional neural network and support vector regression

Published:2023-03 Issue: Volume:287 Page:113453
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Hakim Wahyu Luqmanul,Fadhillah Muhammad Fulki,Park Sungjae,Pradhan Biswajeet,Won Joong-Sun,Lee Chang-Wook

Funder

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Kangwon National University

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference51 articles.

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4. Insight into the Correlation between Land Subsidence and the Floods in Regions of Indonesia, in: Natural Hazards - Risk Assessment and Vulnerability Reduction;Andreas,2018

5. A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility;Arabameri;Sci. Total Environ.,2020

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