{"id":"https://openalex.org/W2165260924","doi":"https://doi.org/10.1109/igarss.2003.1294463","title":"A probabilistic approach to predictive spatial data fusion for geological hazard assessment","display_name":"A probabilistic approach to predictive spatial data fusion for geological hazard assessment","publication_year":2004,"publication_date":"2004-06-30","ids":{"openalex":"https://openalex.org/W2165260924","doi":"https://doi.org/10.1109/igarss.2003.1294463","mag":"2165260924"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2003.1294463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2003.1294463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024837830","display_name":"No-Wook Park","orcid":"https://orcid.org/0000-0002-9778-3624"},"institutions":[{"id":"https://openalex.org/I4210142421","display_name":"Korea Institute of Geoscience and Mineral Resources","ror":"https://ror.org/044k0pw44","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210142421"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"N.W. Park","raw_affiliation_strings":["Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea","institution_ids":["https://openalex.org/I4210142421"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111904169","display_name":"K.\u2010H. Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142421","display_name":"Korea Institute of Geoscience and Mineral Resources","ror":"https://ror.org/044k0pw44","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210142421"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"K.H. Chi","raw_affiliation_strings":["Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea","institution_ids":["https://openalex.org/I4210142421"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7047,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89840226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"2425","last_page":"2427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11046","display_name":"Geotechnical Engineering and Analysis","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10716","display_name":"Soil and Unsaturated Flow","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.9110196828842163},{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.6645260453224182},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6602778434753418},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5434136986732483},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4801982641220093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47686609625816345},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.4346354007720947},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.28376704454421997},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.22506332397460938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19564315676689148},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.17306998372077942}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.9110196828842163},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.6645260453224182},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6602778434753418},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5434136986732483},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4801982641220093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47686609625816345},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.4346354007720947},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.28376704454421997},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.22506332397460938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19564315676689148},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.17306998372077942},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2003.1294463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2003.1294463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W20475988","https://openalex.org/W1973249074","https://openalex.org/W2147555471","https://openalex.org/W2149105883","https://openalex.org/W2159080219","https://openalex.org/W2183191059","https://openalex.org/W2318485605","https://openalex.org/W4285719527","https://openalex.org/W6682116009","https://openalex.org/W6686495098"],"related_works":["https://openalex.org/W2389676928","https://openalex.org/W3169474304","https://openalex.org/W2369104181","https://openalex.org/W3201652628","https://openalex.org/W4212972401","https://openalex.org/W2737009688","https://openalex.org/W2616275900","https://openalex.org/W2389665785","https://openalex.org/W2622291647","https://openalex.org/W2614231491"],"abstract_inverted_index":{"Geological":[0],"hazards":[1],"including":[2],"landslides":[3,27],"have":[4],"caused":[5],"extensive":[6],"damage":[7,33],"to":[8,21,30,48,94],"property":[9],"and":[10,46,58,100],"sometimes":[11],"result":[12],"in":[13,28,81],"loss":[14],"of":[15,62,70,83],"life.":[16],"Thus,":[17],"it":[18],"is":[19],"necessary":[20],"assess":[22],"vulnerable":[23],"areas":[24],"for":[25,73],"future":[26],"order":[29],"mitigate":[31],"the":[32,60,103,110],"they":[34],"cause.":[35],"For":[36],"this":[37,55,88],"purpose,":[38],"GIS-based":[39],"spatial":[40],"data":[41,64,85,91],"fusion":[42,65],"has":[43],"been":[44],"developed":[45],"applied":[47,80],"landslide":[49,74,95],"hazard":[50,75],"analysis.":[51],"Among":[52],"various":[53],"methods,":[54],"paper":[56],"investigates":[57],"discusses":[59],"effectiveness":[61],"probabilistic":[63],"based":[66],"on":[67],"a":[68,112],"permanence":[69],"updating":[71],"ratio":[72],"mapping,":[76],"which":[77],"can":[78],"be":[79],"presence":[82],"complex":[84],"interdependence.":[86],"In":[87],"approach,":[89],"several":[90],"sets":[92],"related":[93],"occurrences":[96],"are":[97],"digitally":[98],"represented":[99],"combined":[101],"using":[102],"incremental":[104],"relative":[105],"contribution":[106],"function.":[107],"To":[108],"illustrate":[109],"scheme,":[111],"case":[113],"study":[114],"from":[115],"Boeun,":[116],"Korea":[117],"was":[118],"carried":[119],"out.":[120]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}