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Advances and Applications in Geospatial Technology and Earth Resources

Proceedings of the International Conference on Geo-Spatial Technologies and Earth Resources 2017

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Dieu Tien Bui

    1. GIS group, Department of Business and IT, University College of Southeast Norway , Bo i Telemark, Norway

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    You can also search for this editor in PubMed   Google Scholar

  2. Anh Ngoc Do

    1. Department of Underground and Mining Construction, Hanoi University of Mining and Geology , Hanoi, Vietnam

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    You can also search for this editor in PubMed   Google Scholar

  3. Hoang-Bac Bui

    1. Department of Exploration Geology, Hanoi University of Mining and Geology , Hanoi, Vietnam

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    You can also search for this editor in PubMed   Google Scholar

  4. Nhat-Duc Hoang

    1. Faculty of Civil Engineering, Duy Tan University , Da Nang, Vietnam

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  • Discusses recent advances Geo-spatial technologies for mine surveying, civil engineering, and mineral resources management ( i.e. UAV/drone, GNSS, mobile GIS, Laser Scanning)
  • Includes advanced techniques and solutions for mining and tunneling
  • Offers real case studies in engineering geology, prospecting and exploration geology, and hydrology and water resources
  • Includes supplementary material: sn.pub/extras

Included in the following conference series:

Conference proceedings info: GTER 2017.

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Table of contents (24 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. A Computational Tool for Time-Series Prediction of Mining-Induced Subsidence Based on Time-Effect Function and Geodetic Monitoring Data

    • Nguyen Quoc Long, Xuan-Nam Bui, Luyen Khac Bui, Khoa Dat Vu Huynh, Canh Van Le, MichaÅ‚ Buczek et al.
    Pages 1-16

  3. Lightweight Unmanned Aerial Vehicle and Structure-from-Motion Photogrammetry for Generating Digital Surface Model for Open-Pit Coal Mine Area and Its Accuracy Assessment

    • Dieu Tien Bui, Nguyen Quoc Long, Xuan-Nam Bui, Viet-Nghia Nguyen, Chung Van Pham, Canh Van Le et al.
    Pages 17-33

  4. Energy Analysis in Semiautomatic and Automatic Velocity Estimation for Ground Penetrating Radar Data in Urban Areas: Case Study in Ho Chi Minh City, Vietnam

    • Thuan Van Nguyen, Cuong Anh Van Le, Van Thanh Nguyen, Trung Hoai Dang, Triet Minh Vo, Lieu Nguyen Nhu Vo
    Pages 34-51

  5. An Integration of Least Squares Support Vector Machines and Firefly Optimization Algorithm for Flood Susceptible Modeling Using GIS

    • Viet-Nghia Nguyen, Dieu Tien Bui, Phuong-Thao Thi Ngo, Quoc-Phi Nguyen, Van Cam Nguyen, Nguyen Quoc Long et al.
    Pages 52-64

  6. Estimation of Surface Parameters of Tidal Flats Using Sentinel-1A SAR Data in the Northern Coast of Vietnam

    • Si Son Tong, Jean Paul Deroin, Thi Lan Pham, Xuan Cuong Cao
    Pages 65-88

  7. Reconstruction of Missing Imagery Data Caused by Cloudcover Based on Beyesian Neural Network and Multitemporal Images

    • Hien Phu La, Minh Quang Nguyen
    Pages 89-102

  8. Monitoring Mangrove Forest Changes in Cat Ba Biosphere Reserve Using ALOS PALSAR Imagery and a GIS-Based Support Vector Machine Algorithm

    • Tien Dat Pham, Kunihiko Yoshino, Naoko Kaida
    Pages 103-118

  9. Detection and Prediction of Urban Expansion of Hanoi Area (Vietnam) Using SPOT-5 Satellite Imagery and Markov Chain Model

    • Trung Van Nguyen, Nam Van Nguyen, Ha Thu Thi Le, Hien Phu La, Dieu Tien Bui
    Pages 119-133

  10. Analysis of Land Cover Changes in Northern Vietnam Using High Resolution Remote Sensing Data

    • Thanh Tung Hoang, Kenlo Nishida Nasahara, Jin Katagi
    Pages 134-151

  11. Change Detection in Multitemporal SAR Images Using a Strategy of Multistage Analysis

    • Thu Trang Lê, Van Anh Tran, Ha Thai Pham, Xuan Truong Tran
    Pages 152-165

  12. Understanding Factors Affecting the Outbreak of Malaria Using Locally-Compensated Ridge Geographically Weighted Regression: Case Study in DakNong, Vietnam

    • Tuan-Anh Hoang, Le Hoang Son, Quang-Thanh Bui, Quoc-Huy Nguyen
    Pages 166-185

  13. A Novel Hybrid Model of Rotation Forest Based Functional Trees for Landslide Susceptibility Mapping: A Case Study at Kon Tum Province, Vietnam

    • Binh Thai Pham, Viet-Tien Nguyen, Van-Liem Ngo, Phan Trong Trinh, Huong Thanh Thi Ngo, Dieu Tien Bui
    Pages 186-201

  14. Effects of Residual Soil Characteristics on Rainfall-Induced Shallow Landslides Along Transport Arteries in Bac Kan Province, Vietnam

    • Do Minh Duc, Dao Minh Duc, Do Minh Ngoc
    Pages 202-223

  15. Spatial Prediction of Rainfall Induced Shallow Landslides Using Adaptive-Network-Based Fuzzy Inference System and Particle Swarm Optimization: A Case Study at the Uttarakhand Area, India

    • Binh Thai Pham, Indra Prakash
    Pages 224-238

  16. GIS-Based Landslide Spatial Modeling Using Batch-Training Back-propagation Artificial Neural Network: A Study of Model Parameters

    • Nhat-Duc Hoang, Dieu Tien Bui
    Pages 239-254

  17. A Novel Hybrid Intelligent Approach of Random Subspace Ensemble and Reduced Error Pruning Trees for Landslide Susceptibility Modeling: A Case Study at Mu Cang Chai District, Yen Bai Province, Viet Nam

    • Binh Thai Pham, Indra Prakash
    Pages 255-269

  18. Recent Tectonic Movements Along the Coastal Zone of Tuy Hoa Area (Central Vietnam) and Its Significance for Coastal Hazards in the Case of Sea Level Rise

    • Hai Thanh Tran
    Pages 270-292

  19. Isotopic and Hydrogeochemical Signatures in Evaluating Groundwater Quality in the Coastal Area of the Mekong Delta, Vietnam

    • Tran Dang An, Maki Tsujimura, Vo Le Phu, Doan Thu Ha, Nguyen Van Hai
    Pages 293-314

  20. Research Progress on Stabilization/Solidification Technique for Remediation of Heavy Metals Contaminated Soil

    • Yu Zhang, Cong Lu, Mengyi Xu, Lingling Pan, Nguyen Chau Lan, Qiang Tang
    Pages 315-325
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  1. Advances and Applications in Geospatial Technology and Earth Resources

Keywords

About this book

This book discusses the latest advances and applications in geospatial technologies and earth resources for mine surveying and civil engineering. It also discusses mineral resources management and assesses many techniques such as unmanned aerial vehicles/drones, ground-penetrating radar, geographic information system (GIS) and GIS-based machine learning.
 
The book gathers the proceedings of the International Conference on Geo-Spatial Technologies and Earth Resources (GTER 2017), which was co-organized by the Hanoi University of Mining and Geology (HUMG) and the International Society for Mine Surveying (ISM) and held in Hanoi, Vietnam, on October 5–6, 2017.
 
GTER 2017 is technically co-sponsored by the Vietnam Mining Science and Technology Association (VMST), Vietnam Association of Geodesy, Cartography and Remote Sensing (VGCR), Vietnam National Coal-Mineral Industries Holding Corporation Limited (VINACOMIN), and the Dong Bac Corporation (NECO). The event is intended to bring together experts, researchers, engineers, and policymakers to discuss and exchange their knowledges and experiences with modern geospatial technologies, recent advances in mining and tunneling, and the geological and earth sciences.
 
Given its breadth of coverage, the book will appeal to scientists in the field as well as professionals interested in related technological applications.


Editors and Affiliations

  • GIS group, Department of Business and IT, University College of Southeast Norway , Bo i Telemark, Norway

    Dieu Tien Bui

  • Department of Underground and Mining Construction, Hanoi University of Mining and Geology , Hanoi, Vietnam

    Anh Ngoc Do

  • Department of Exploration Geology, Hanoi University of Mining and Geology , Hanoi, Vietnam

    Hoang-Bac Bui

  • Faculty of Civil Engineering, Duy Tan University , Da Nang, Vietnam

    Nhat-Duc Hoang

About the editors

Dieu Tien Bui is currently an Associate Professor at the GIS and IT group, Department of Business and IT, University College of Southeast Norway, Bø i Telemark, Norway. An editor for several scientific journals, he received his M.Sc. degree in Cartographic Engineering from Hanoi University of Mining and Geology, Hanoi, Vietnam, in 2004, and his Ph.D. in Geomatics from the Norwegian University of Life Sciences, Aas, Norway, in 2013. He was a postdoctoral researcher at the Norwegian University of Life Sciences from 2013 to 2014. From 2004 to 2007, he was a university lecturer at the Faculty of Surveying and Mapping, Hanoi University of Mining and Geology. In 2008, he was a geospatial analyst at Ugland IT Group, a geographic information services company in Lysaker, Oslo, Norway. He has more than 80 publications to his credit, including 40 articles published in Science Citation Index (SCI/SCIE) scientific journals, five book chapters published by Springer, and two book chapters published by Elsevier. His research interests include GIS, remote sensing, and artificial intelligence and machine learning for natural hazards and environmental problems such as landslides, floods and forest fires, ground biomass, and structural displacement. 
Anh Ngoc Do is Dean of the Faculty of Civil Engineering and Deputy Head of the Department of Underground and Mining Construction, Hanoi University of Mining and Geology, Hanoi, Vietnam. He received his M.Sc. degree in Tunneling from Hanoi University of Mining and Geology (HUMG), Hanoi, Vietnam, in 2006, and his Ph.D. in Civil Engineering from INSA de Lyon, France, in 2014. Currently, he is head of the Tunneling and Underground Space research group at HUMG. A reviewer for several scientific journals, he has published more than 18 articles in Science Citation Index (SCI/SCIE) technical journals and one book chapter. His research interests include tunneling, underground construction, earthquake engineering, and numerical analysis.
 
Hoang-Bac Bui is currently an Associate Professor at the Department of Exploration Geology, Faculty of Sciences and Geoengineering, Hanoi University of Mining and Geology, Vietnam, where he has been working since 2000. He received his B.S. degree in Geology from Hanoi University of Mining and Geology, Vietnam, in 1999, his M.Sc. degree in Civil Engineering from Paichai University, South Korea, in 2004, and his Ph.D. in Geological Science (Nano minerals) from Yonsei University, South Korea, in 2009. He has published more than 40 research papers, 12 of which appeared in Science Citation Index (SCI/SCIE) journals. His research interests include GIS for mineral exploration, clay minerals, mineral chemistry and solid waste recycling.
 
Nhat Duc Hoang is currently a Lecturer at the Faculty of Civil Engineering, Duy Tan University, Danang city, Vietnam. He is the Director of Construction, Mechanics, and Materials at the Institute of Research and Development, Duy Tan University. He received his M.Sc. degree in 2010 and his Ph.D. degree in 2013, both from National Taiwan University of Science and Technology (NTUST). From 2008 to 2013, he was a research assistant at NTUST’s CIC lab, Construction Engineering department. He has published 31 articles in Science Citation Index (SCI/SCIE) technical journals and two book chapters.  His research interests include GIS-based spatial modeling of natural hazards, engineering applications of artificial intelligence, hybrid machine learning models, and metaheuristic optimization.


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