Potential of Satellite Remote Sensing and GIS for Landslide Hazard Assessment in Southern Kyrgyzstan (Central Asia)

2005 ◽  
Vol 35 (3) ◽  
pp. 395-416 ◽  
Author(s):  
Sigrid Roessner ◽  
Hans-Ulrich Wetzel ◽  
Hermann Kaufmann ◽  
Aman Sarnagoev
Keyword(s):  
Remote Sensing ◽  
Central Asia ◽  
Hazard Assessment ◽  
Satellite Remote Sensing ◽  
Remote Sensing And Gis ◽  
Landslide Hazard ◽  
Landslide Hazard Assessment

A Remote Sensing Approach for Landslide Hazard Assessment on Engineered Slopes

2012 ◽  
Vol 50 (4) ◽  
pp. 1048-1056 ◽  
Author(s):  
Pauline E. Miller ◽  
Jon P. Mills ◽  
Stuart L. Barr ◽  
Stephen J. Birkinshaw ◽  
Andrew J. Hardy ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hazard Assessment ◽  
Landslide Hazard ◽  
Landslide Hazard Assessment

REGIONAL PROBABILISTIC LANDSLIDE HAZARD ASSESSMENT FOR THE ENGURI DAM (JVARI, GEORGIA)

2016 ◽  
Author(s):  
Maria Diletta Acciaro ◽  
◽  
John S. Gierke ◽  
Thomas Oommen
Keyword(s):  
Hazard Assessment ◽  
Landslide Hazard ◽  
Landslide Hazard Assessment

Landslide hazard assessment based on Bayesian optimization–support vector machine in Nanping City, China

2021 ◽  
Author(s):  
Wei Xie ◽  
Wen Nie ◽  
Pooya Saffari ◽  
Luis F. Robledo ◽  
Pierre-Yves Descote ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Hazard Assessment ◽  
Landslide Hazard ◽  
Bayesian Optimization ◽  
Support Vector ◽  
Landslide Hazard Assessment

GIS-based landslide hazard assessment: an overview

2005 ◽  
Vol 29 (4) ◽  
pp. 548-567 ◽  
Author(s):  
Wang Huabin ◽  
Liu Gangjun ◽  
Xu Weiya ◽  
Wang Gonghui
Keyword(s):  
Hazard Assessment ◽  
Landslide Hazard ◽  
Integrated System ◽  
Process Models ◽  
Land Utilization ◽  
Property A ◽  
Landslide Hazard Assessment ◽  
Landslide Hazards ◽  
Digital Elevation ◽  
Slope Management

In recent years, landslide hazard assessment has played an important role in developing land utilization regulations aimed at minimizing the loss of lives and damage to property. A variety of approaches has been used in landslide assessment and these can be classified into qualitative factor overlay, statistical models, geotechnical process models, etc. However, there is little work on the satisfactory integration of these models with geographic information systems (GIS) to support slope management and landslide hazard mitigation. This paper deals with several aspects of landslide hazard assessment by presenting a focused review of GIS-based landslide hazard assessment: it starts with a framework for GIS-based assessment of landslide hazard; continues with a critical review of the state of the art in using GIS and digital elevation models (DEM) for mapping and modelling landslide hazards; and concludes with a description of an integrated system for effective landslide hazard assessment and zonation incorporating artificial intelligence and data mining technology in a GIS-based framework of knowledge discovery.

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