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Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium
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rdf:type
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description
article
(en)
wetenschappelijk artikel
(nl)
article scientifique publié en 2009
(fr)
наукова стаття, опублікована в березні 2009
(uk)
im März 2009 veröffentlichter wissenschaftlicher Artikel
(de)
publication date
wds:Q59003959-3B58FBB6-A7AF-49EC-95F1-E15F944A3D92
publication date
2009-03-31 00:00:00Z
(
xsd:dateTime
)
author name string
wds:Q59003959-38E16752-8807-4D4E-9F6E-CDD5BA3600D1
wds:Q59003959-6090BB52-EA0F-46A4-9F89-B8BFD4554CC2
wds:Q59003959-808C4E7E-ECBB-4019-B730-393EF3C156B1
wds:Q59003959-F5E5FB13-A7B5-4D13-96FB-3245EFD9AC89
author name string
M. Rossi
J. Poesen
M. Van Den Eeckhaut
P. Reichenbach
rdfs:label
Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium
(en)
Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium
(nl)
skos:prefLabel
Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium
(en)
Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium
(nl)
name
Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium
(en)
Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium
(nl)
author
wds:Q59003959-AEE5B0A4-E4E9-43AE-84EC-B938176117AB
author
Fausto Guzzetti
title
wds:Q59003959-BB6C0136-3B06-4708-990A-443F34E970FB
title
Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium
(en)
page(s)
wds:Q59003959-8DF7022A-0B27-4801-B166-7D07A3B0B6EA
page(s)
507-521
instance of
wds:Q59003959-85D6C22E-1876-4F70-85E0-A1056359B43F
instance of
scholarly article
main subject
wds:Q59003959-BA4FB251-3B36-418A-9257-9E3B8B74D88D
wds:Q59003959-F9FE4AF6-8582-4C23-9852-0B5C0C6F81DE
main subject
landslide
Belgica metro station
published in
wds:Q59003959-8744E35D-7789-44B8-9CC9-343D02869029
published in
Natural Hazards and Earth System Sciences
issue
wds:Q59003959-9EB2A184-E3F5-4301-828A-F7C083FE4945
volume
wds:Q59003959-4C41BF9A-DFFA-49A1-B9C3-A5EC9C0F8066
issue
2
volume
9
DOI
wds:Q59003959-E97D580D-24AE-46E1-A8C8-AD87F4C24F31
DOI
http://dx.doi.org/10.5194/NHESS-9-507-2009
DOI
10.5194/NHESS-9-507-2009
copyright license
wds:Q59003959-18c23253-4ea1-4e2f-acc7-b86d827b0a9f
copyright status
wds:Q59003959-0cff674f-184d-458c-b376-58d0d6c75d73
copyright license
Creative Commons Attribution 3.0 Unported
copyright status
copyrighted
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about
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https://www.wikidata.org/wiki/Special:EntityData/Q59003959
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cites work
of
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)
Recommendations for the quantitative analysis of landslide risk
Impacts of post-glacial rebound on landslide spatial distribution at a regional scale in northern Iceland (Skagafjörður)
A Comparative Assessment Between the Application of Fuzzy Unordered Rules Induction Algorithm and J48 Decision Tree Models in Spatial Prediction of Shallow Landslides at Lang Son City, Vietnam
Modeling the Probability of Surface Artificialization in Zêzere Watershed (Portugal) Using Environmental Data
is
cites work
of
wds:Q60724249-7DE52444-7187-4F23-B478-2ECFBCF66F79
wds:Q62633432-94C9578E-C074-4758-B4C0-FACCB0031F85
wds:Q57871906-0936950B-AC2C-4681-8F4E-235C5B768D0E
wds:Q57598304-ECB32AA8-3494-435B-87D4-53C2C0C32A8A
wds:Q56793863-95476B9A-93FE-4785-8918-36E39BF87375
wds:Q57598126-60C1A18A-42DF-4368-9D19-27D429292DE3
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