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Parameters Derived from and/or Used with Digital Elevation Models (DEMs) for Landslide Susceptibility Mapping and Landslide Risk Assessment: A Review
by
Saleem, Nayyer
, Javed, Akib
, Sajjad, Asif
, Huq, Md. Enamul
, Twumasi, Nana Yaw Danquah
in
Accuracy
/ Algorithms
/ Conditioning
/ Data collection
/ Datasets
/ Developing countries
/ Digital Elevation Models
/ Disasters
/ Earthquakes
/ Elevation
/ Environmental risk
/ Exploitation
/ Forest & brush fires
/ Geographic information systems
/ Global positioning systems
/ GPS
/ Hydrology
/ Impact analysis
/ Information science
/ information sources
/ inventories
/ Landslides
/ Landslides & mudslides
/ LDCs
/ Mapping
/ Mission statements
/ Parameters
/ Risk assessment
/ Satellites
/ spatial data
/ Storm damage
/ Topography
/ Tsunamis
2019
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Parameters Derived from and/or Used with Digital Elevation Models (DEMs) for Landslide Susceptibility Mapping and Landslide Risk Assessment: A Review
by
Saleem, Nayyer
, Javed, Akib
, Sajjad, Asif
, Huq, Md. Enamul
, Twumasi, Nana Yaw Danquah
in
Accuracy
/ Algorithms
/ Conditioning
/ Data collection
/ Datasets
/ Developing countries
/ Digital Elevation Models
/ Disasters
/ Earthquakes
/ Elevation
/ Environmental risk
/ Exploitation
/ Forest & brush fires
/ Geographic information systems
/ Global positioning systems
/ GPS
/ Hydrology
/ Impact analysis
/ Information science
/ information sources
/ inventories
/ Landslides
/ Landslides & mudslides
/ LDCs
/ Mapping
/ Mission statements
/ Parameters
/ Risk assessment
/ Satellites
/ spatial data
/ Storm damage
/ Topography
/ Tsunamis
2019
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Parameters Derived from and/or Used with Digital Elevation Models (DEMs) for Landslide Susceptibility Mapping and Landslide Risk Assessment: A Review
by
Saleem, Nayyer
, Javed, Akib
, Sajjad, Asif
, Huq, Md. Enamul
, Twumasi, Nana Yaw Danquah
in
Accuracy
/ Algorithms
/ Conditioning
/ Data collection
/ Datasets
/ Developing countries
/ Digital Elevation Models
/ Disasters
/ Earthquakes
/ Elevation
/ Environmental risk
/ Exploitation
/ Forest & brush fires
/ Geographic information systems
/ Global positioning systems
/ GPS
/ Hydrology
/ Impact analysis
/ Information science
/ information sources
/ inventories
/ Landslides
/ Landslides & mudslides
/ LDCs
/ Mapping
/ Mission statements
/ Parameters
/ Risk assessment
/ Satellites
/ spatial data
/ Storm damage
/ Topography
/ Tsunamis
2019
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Parameters Derived from and/or Used with Digital Elevation Models (DEMs) for Landslide Susceptibility Mapping and Landslide Risk Assessment: A Review
Journal Article
Parameters Derived from and/or Used with Digital Elevation Models (DEMs) for Landslide Susceptibility Mapping and Landslide Risk Assessment: A Review
2019
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Overview
Digital elevation models (DEMs) are considered an imperative tool for many 3D visualization applications; however, for applications related to topography, they are exploited mostly as a basic source of information. In the study of landslide susceptibility mapping, parameters or landslide conditioning factors are deduced from the information related to DEMs, especially elevation. In this paper conditioning factors related with topography are analyzed and the impact of resolution and accuracy of DEMs on these factors is discussed. Previously conducted research on landslide susceptibility mapping using these factors or parameters through exploiting different methods or models in the last two decades is reviewed, and modern trends in this field are presented in a tabulated form. Two factors or parameters are proposed for inclusion in landslide inventory list as a conditioning factor and a risk assessment parameter for future studies.
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