About: Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model

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About: Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model Goto Sponge NotDistinct Permalink

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rdf:type	Item
description	article (en) wetenschappelijk artikel (nl) article scientifique publié en 2008 (fr) наукова стаття, опублікована в жовтні 2008 (uk) im Oktober 2008 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q57598429-BD9A881B-DFDF-4543-B148-31B3FD689C36
publication date	2008-10-01 00:00:00Z (xsd:dateTime)
author name string	wds:Q57598429-8C8046F2-2C64-40A1-93ED-021CE2DF5FFF
author name string	Sarol Lee
rdfs:label	Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model (en) Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model (nl)
skos:prefLabel	Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model (en) Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model (nl)
name	Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model (en) Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model (nl)
title	wds:Q57598429-88707B27-2593-474B-BF4F-4A46CE97A07E
title	Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model (en)
page(s)	wds:Q57598429-D0F3AC86-0B44-4E4D-9F4A-91722CB5B9C9
page(s)	023542
instance of	wds:Q57598429-9A0F1725-D8F8-43B5-BCC2-4CB168EB155B
instance of	scholarly article
main subject	wds:Q57598429-19E339BC-47E7-4066-B5A8-E6511B0ADF55 wds:Q57598429-A7F36B9C-6E7E-4E20-9482-B0D49615EF3F wds:Q57598429-CB602796-6FF8-4CC4-BB77-55DD3FE57E88 wds:Q57598429-D1D9CAAB-F2D2-4183-A125-CC002C25B8CE wds:Q57598429-D9ED9D67-0A51-4581-94A6-D7B47F7BD08D wds:Q57598429-F4BDC547-AFDA-41F3-ACC9-72C135DF266A
main subject	remote sensing landslide geographic information system logistic regression model hazard analysis remote sensing data
published in	wds:Q57598429-5C6360E3-E34A-47B4-A982-073098571C4D
published in	Journal of Applied Remote Sensing
issue	wds:Q57598429-D80808FD-5968-4260-84E2-D1A303ECC09A
volume	wds:Q57598429-4CD70727-8C08-4405-BEB7-BEE5687F4194
issue	1
volume	2
DOI	wds:Q57598429-8ED4881F-94A4-438E-91CA-720DB19DB203
DOI	http://dx.doi.org/10.1117/1.3026536
DOI	10.1117/1.3026536
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57598429
is cites work of	Using ALOS PALSAR derived high-resolution DInSAR to detect slow-moving landslides in tropical forest: Cameron Highlands, Malaysia Landslide hazard and risk analyses at a landslide prone catchment area using statistical based geospatial model Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area GIS-based spatial prediction of landslide susceptibility using logistic regression model
is cites work of	wds:Q57598399-0EA307F3-D5EA-43D0-88BB-AB1CD60BB803 wds:Q57598419-F9E590AC-C202-4557-807C-AC54A2F7CBAC wds:Q57598350-A48DADD1-8BF3-4DBC-A7C6-9CEBD6DC532D wds:Q58765223-4227AB5D-5028-4815-9E96-6AC06CCE0202

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