Open access peer-reviewed Edited Volume


Ram Ray

Prairie View A&M University


Maurizio Lazzari

Italian National Research Council - Institute for Archaeological and Monumental Heritage


Remote sensing of landslides Spatial distributions of landslides Modeling the landslides Landslide hazard Statistically-based landslide Landslide susceptibility Landslide prediction Landslide monitoring Landslide and Machine Learning Landslide and soil erosion (or landslide and erosion) Slope Failures

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About the book

Landslide, a natural event, is one of the most destructive natural hazards which causes significant threats to lives, properties, and natural environments throughout the world in mountainous regions. Landslide includes five modes of slope movement or failure: falls, topples, slides, spreads, and flows. While natural forces cause landslides, human-induced changes in the environment caused many landslide disasters. Although the causes of landslides are wide-ranging, natural causes such as climate change, earthquakes, erosion, volcanoes, and anthropogenic causes such as mining and clear cutting are most common. It is important to have some robust methods and technologies to identify and predict potential landslide hazards to eliminate the disaster threat or reduce its impact to save lives and properties. In recent years, numerous researchers have studied landslide prediction, monitoring, early warning, hazard analysis and risk assessment using geospatial technologies such as remote sensing and geographical information system (GIS). In addition, landslide monitoring, landslide susceptibility mapping, quantitative assessment of landslide hazard, identifying potential landslide hazards are the most widely used methods to conduct landslide studies. Although several methods and technologies have been used and tested to study landslides using GIS and remote sensing data, in-situ data alone or in combination, still in-depth analysis and advanced, robust technologies are needed to understand the landslide disaster. This book intends to provide the reader with a comprehensive overview of the current state-of-the-art in landslide disasters, featuring an easy-to-follow, vignette-based format that focuses on the most important evidence-based developments in this critically important area.

Publishing process

Book initiated and editor appointed

Date completed: August 8th 2019

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

Approved chapters written in full and submitted

Deadline for full chapters: October 28th 2019

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: January 16th 2020

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: March 16th 2020

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About the editor

Ram Ray

Prairie View A&M University

Dr. Ram Ray is a research scientist in the Prairie View A&M University, USA. He obtained his PhD in Civil Engineering form the University of New Hampshire in 2009, his M.S. degree in Soil Science from the Vrije Universiteit Brussel and Ghent University, Belgium in 2004, and his B.S. degree in Civil Engineering from Tribhuvan University, Kathmandu, Nepal in 1993. He was a Postdoctoral Researcher at the University of California and the San Diego State University and UC San Diego, USA from 2009 to 2013. Dr. Ray used to work as a Civil Infrastructure Engineer for the Government of Nepal from 1996 to 2002 and as a Civil Engineer at the TAEC Consult P. Ltd from 1993-1996. He is a member of the American Society Of Civil Engineering (ASCE), Soil Science Society of America (SSSA), and the American Geophysical Union (AGU). Dr. Ray’s research interests include Natural hazard (landslide and flood) and risk analysis using GIS/remote sensing and spatial statistical analysis, Fluvial geomorphology, Flood hydrology, Flood risk analysis, Flood hazards, and Control, Hydrology-land surface-atmosphere interactions, Soil water dynamics, watershed hydrology and modelling, Remote sensing and GIS applications, Soil Carbon Sequestration.

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