4.7 Article

Land Subsidence Prediction Induced by Multiple Factors Using Machine Learning Method

Related references

Note: Only part of the references are listed.
Article Geosciences, Multidisciplinary

Modeling the Influence of Groundwater Exploitation on Land Subsidence Susceptibility Using Machine Learning Algorithms

Mahtab Zamanirad et al.

NATURAL RESOURCES RESEARCH (2020)

Article Environmental Sciences

Land subsidence and its relation with groundwater aquifers in Beijing Plain of China

Beibei Chen et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2020)

Article Medicine, Research & Experimental

An Interpretable Prediction Model for Identifying N7-Methylguanosine Sites Based on XGBoost and SHAP

Yue Bi et al.

MOLECULAR THERAPY-NUCLEIC ACIDS (2020)

Article Remote Sensing

Land subsidence lagging quantification in the main exploration aquifer layers in Beijing plain, China

Beibei Chen et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2019)

Article Environmental Sciences

Time-Series Evolution Patterns of Land Subsidence in the Eastern Beijing Plain, China

Junjie Zuo et al.

REMOTE SENSING (2019)

Article Environmental Sciences

Land subsidence hazard modeling: Machine learning to identify predictors and the role of human activities

Omid Rahmati et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2019)

Article Environmental Sciences

Land subsidence modelling using tree-based machine learning algorithms

Omid Rahmati et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2019)

Article Computer Science, Artificial Intelligence

Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction

Maciej Zieba et al.

EXPERT SYSTEMS WITH APPLICATIONS (2016)

Editorial Material Geosciences, Multidisciplinary

Preface: Land subsidence processes

Devin L. Galloway et al.

HYDROGEOLOGY JOURNAL (2016)

Article Remote Sensing

Subsidence mapping at regional scale using persistent scatters interferometry (PSI): The case of Tuscany region (Italy)

Ascanio Rosi et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2016)

Article Computer Science, Artificial Intelligence

Neighbourhood sampling in bagging for imbalanced data

Jerzy Blaszczynski et al.

NEUROCOMPUTING (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Tracking-by-Segmentation with Online Gradient Boosting Decision Tree

Jeany Son et al.

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)

Article Environmental Sciences

Land subsidence characteristics of Bandung Basin as revealed by ENVISAT ASAR and ALOS PALSAR interferometry

Linlin Ge et al.

REMOTE SENSING OF ENVIRONMENT (2014)

Article Environmental Sciences

Land subsidence in central Mexico detected by ALOS InSAR time-series

Estelle Chaussard et al.

REMOTE SENSING OF ENVIRONMENT (2014)

Review Geosciences, Multidisciplinary

Analysis of urbanisation-induced land subsidence in Shanghai

Ye-Shuang Xu et al.

NATURAL HAZARDS (2012)

Article Geography, Physical

Coastal subsidence in Oregon, USA, during the giant Cascadia earthquake of AD 1700

A. D. Hawkes et al.

QUATERNARY SCIENCE REVIEWS (2011)

Article Remote Sensing

A new index for delineating built-up land features in satellite imagery

H. Xu

INTERNATIONAL JOURNAL OF REMOTE SENSING (2008)

Article Computer Science, Interdisciplinary Applications

Python for scientific computing

Travis E. Oliphant

COMPUTING IN SCIENCE & ENGINEERING (2007)

Article Geosciences, Multidisciplinary

A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers

A Hooper et al.

GEOPHYSICAL RESEARCH LETTERS (2004)

Article Engineering, Geological

Review on current status and challenging issues of land subsidence in China

RL Hu et al.

ENGINEERING GEOLOGY (2004)

Article Remote Sensing

Use of normalized difference built-up index in automatically mapping urban areas from TM imagery

Y Zha et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2003)

Article Environmental Sciences

CHARACTERISTICS OF CHANGE IN TEMPERATURE DURING THE PAST 50 YEARS IN JILIN PROVINCE OF CHINA

Zhao Xin-yi et al.

CHINESE GEOGRAPHICAL SCIENCE (2002)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Article Geochemistry & Geophysics

Permanent scatterers in SAR interferometry

A Ferretti et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2001)

Review Engineering, Electrical & Electronic

Synthetic aperture radar interferometry - Invited paper

PA Rosen et al.

PROCEEDINGS OF THE IEEE (2000)