{"id":"https://openalex.org/W2805607232","doi":"https://doi.org/10.7780/kjrs.2018.34.1.4","title":"Data Mining-Aided Automatic Landslide Detection Using Airborne Laser Scanning Data in Densely Forested Tropical Areas","display_name":"Data Mining-Aided Automatic Landslide Detection Using Airborne Laser Scanning Data in Densely Forested Tropical Areas","publication_year":2018,"publication_date":"2018-02-01","ids":{"openalex":"https://openalex.org/W2805607232","doi":"https://doi.org/10.7780/kjrs.2018.34.1.4","mag":"2805607232"},"language":"en","primary_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/131520","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/131520","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10453/131520","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061243861","display_name":"Mustafa Ridha Mezaal","orcid":"https://orcid.org/0000-0002-2523-8870","observed_orcids":["https://orcid.org/0000-0002-2523-8870"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mustafa Ridha Mezaal","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2523-8870","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5059040421","display_name":"Biswajeet Pradhan","orcid":"https://orcid.org/0000-0001-9863-2054","observed_orcids":["https://orcid.org/0000-0001-9863-2054"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Biswajeet Pradhan","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9863-2054","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.1494,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.95605252,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"34","issue":"1","first_page":"45","last_page":"74"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9980000257492065,"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":0.9980000257492065,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1107","display_name":"Forestry"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landslide-detection","display_name":"landslide detection","score":0.9789999723434448},{"id":"https://openalex.org/keywords/airborne-lidar","display_name":"airborne laser scanning","score":0.8100000023841858},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.7509999871253967},{"id":"https://openalex.org/keywords/point-cloud-segmentation","display_name":"point cloud segmentation","score":0.6340000033378601},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.7940000295639038},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9919999837875366},{"id":"https://openalex.org/keywords/landslide-inventory-mapping","display_name":"landslide inventory mapping","score":0.7910000085830688},{"id":"https://openalex.org/keywords/tropical-rainforest","display_name":"tropical rainforest","score":0.8130000233650208},{"id":"https://openalex.org/keywords/cameron-highlands","display_name":"Cameron Highlands","score":0.9459999799728394}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.743896484375},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7171163558959961},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6620421409606934},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6153411269187927},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5514132976531982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5243464112281799},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.5004258155822754},{"id":"https://openalex.org/C82789328","wikidata":"https://www.wikidata.org/wiki/Q922585","display_name":"Orthophoto","level":2,"score":0.48440462350845337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46005484461784363},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.45727044343948364},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43628472089767456},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4150414764881134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3251676559448242},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19913682341575623},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19689467549324036},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.06739237904548645},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:opus.lib.uts.edu.au:10453/131520","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/131520","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"mag:2805607232","doi":"https://doi.org/10.7780/kjrs.2018.34.1.4","is_oa":false,"landing_page_url":"http://koreascience.or.kr:80/article/JAKO201807356123489.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764468969","display_name":"National Remote Sensing Bulletin","issn_l":"1007-4619","issn":["1007-4619","2095-9494"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-40","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319982","host_organization_name":"Science Press","host_organization_lineage":["https://openalex.org/P4310319982"],"host_organization_lineage_names":["Science Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Remote Sensing Bulletin","raw_type":null}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/131520","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/131520","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},"sustainable_development_goals":[{"score":0.7605999708175659,"id":"https://metadata.un.org/sdg/15","display_name":"Life on land"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2799777740","https://openalex.org/W2990691621","https://openalex.org/W2809758875","https://openalex.org/W2886994388","https://openalex.org/W2090715229","https://openalex.org/W2735810309","https://openalex.org/W3045566724","https://openalex.org/W2100933411","https://openalex.org/W2894082056","https://openalex.org/W2236936627"],"abstract_inverted_index":{"Landslide":[0],"is":[1,33],"a":[2,85,115,206],"natural":[3],"hazard":[4],"that":[5,159,173],"threats":[6],"lives":[7],"and":[8,29,39,79,120,134,155,211],"properties":[9],"in":[10,22,44,53,65,84,168,201,205],"many":[11],"areas":[12],"around":[13],"the":[14,45,54,58,107,142,153,162,174,178,184,193,203],"world.":[15],"Landslides":[16],"are":[17],"difficult":[18],"to":[19,105,122,140,218],"recognize,":[20],"particularly":[21],"rainforest":[23,86,207],"regions.":[24,220],"Thus,":[25,64],"an":[26],"accurate,":[27],"detailed,":[28],"updated":[30],"inventory":[31],"map":[32],"required":[34],"for":[35],"landslide":[36,169],"susceptibility,":[37],"hazard,":[38],"risk":[40],"analyses.":[41],"The":[42,149,196],"inconsistency":[43],"results":[46],"obtained":[47],"using":[48,114,187],"different":[49],"features":[50,71,146,190],"selection":[51,72,147],"techniques":[52,69,198,213],"literature":[55],"has":[56],"highlighted":[57],"importance":[59],"of":[60,70,88,144,152,161,177,209],"evaluating":[61],"these":[62,212],"techniques.":[63],"this":[66],"study,":[67],"six":[68,163],"were":[73,81,112,138,181],"evaluated.":[74],"Very-high-resolution":[75],"LiDAR":[76],"point":[77],"clouds":[78],"orthophotos":[80],"acquired":[82],"simultaneously":[83],"area":[87,208],"Cameron":[89],"Highlands,":[90],"Malaysia":[91],"by":[92],"airborne":[93],"laser":[94],"scanning":[95],"(LiDAR).":[96],"A":[97],"fuzzy-based":[98],"segmentation":[99,108],"parameter":[100],"(FbSP":[101],"optimizer)":[102],"was":[103],"used":[104,139],"optimize":[106],"parameters.":[109],"Training":[110],"samples":[111],"evaluated":[113],"stratified":[116],"random":[117],"sampling":[118],"method":[119],"set":[121],"70%":[123],"training":[124],"samples.":[125],"Two":[126],"machine-learning":[127],"algorithms,":[128],"namely,":[129],"Support":[130],"Vector":[131],"Machine":[132],"(SVM)":[133],"Random":[135],"Forest":[136],"(RF),":[137],"evaluate":[141],"performance":[143],"each":[145],"algorithm.":[148],"overall":[150],"accuracies":[151,176],"SVM":[154,185],"RF":[156,179],"models":[157],"revealed":[158],"three":[160],"algorithms":[164],"exhibited":[165],"higher":[166,182],"ranks":[167],"detection.":[170],"Results":[171],"indicated":[172],"classification":[175],"classifier":[180,186],"than":[183],"either":[188],"all":[189],"or":[191],"only":[192],"optimal":[194],"features.":[195],"proposed":[197],"performed":[199],"well":[200],"detecting":[202],"landslides":[204],"Malaysia,":[210],"can":[214],"be":[215],"easily":[216],"extended":[217],"similar":[219]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":6}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2018-06-13T00:00:00"}