{"id":"https://openalex.org/W3096889504","doi":"https://doi.org/10.3390/rs12213627","title":"Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine Learning Algorithm Based on Time-Series InSAR Data","display_name":"Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine Learning Algorithm Based on Time-Series InSAR Data","publication_year":2020,"publication_date":"2020-11-04","ids":{"openalex":"https://openalex.org/W3096889504","doi":"https://doi.org/10.3390/rs12213627","mag":"3096889504"},"language":"en","primary_location":{"id":"doi:10.3390/rs12213627","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12213627","pdf_url":"https://www.mdpi.com/2072-4292/12/21/3627/pdf?version=1604697365","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/21/3627/pdf?version=1604697365","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007160576","display_name":"Wahyu Luqmanul Hakim","orcid":"https://orcid.org/0000-0003-1622-7018"},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wahyu Hakim","raw_affiliation_strings":["Division of Science Education, Kangwon National University, Gangwon-do, Chuncheon-si 24341, Korea"],"raw_orcid":"https://orcid.org/0000-0003-1622-7018","affiliations":[{"raw_affiliation_string":"Division of Science Education, Kangwon National University, Gangwon-do, Chuncheon-si 24341, Korea","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090106059","display_name":"Arief Rizqiyanto Achmad","orcid":"https://orcid.org/0000-0002-4301-7801"},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Arief Achmad","raw_affiliation_strings":["Division of Science Education, Kangwon National University, Gangwon-do, Chuncheon-si 24341, Korea"],"raw_orcid":"https://orcid.org/0000-0002-4301-7801","affiliations":[{"raw_affiliation_string":"Division of Science Education, Kangwon National University, Gangwon-do, Chuncheon-si 24341, Korea","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045171576","display_name":"Chang-Wook Lee","orcid":"https://orcid.org/0000-0001-7235-3225"},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Chang-Wook Lee","raw_affiliation_strings":["Division of Science Education, Kangwon National University, Gangwon-do, Chuncheon-si 24341, Korea"],"raw_orcid":"https://orcid.org/0000-0001-7235-3225","affiliations":[{"raw_affiliation_string":"Division of Science Education, Kangwon National University, Gangwon-do, Chuncheon-si 24341, Korea","institution_ids":["https://openalex.org/I165507594"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045171576"],"corresponding_institution_ids":["https://openalex.org/I165507594"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":74.911,"has_fulltext":false,"cited_by_count":89,"citation_normalized_percentile":{"value":0.99840443,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":"21","first_page":"3627","last_page":"3627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10535","display_name":"Landslides and related hazards","score":0.977400004863739,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9710000157356262,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/algorithm","display_name":"Algorithm","score":0.6410548686981201},{"id":"https://openalex.org/keywords/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.5639240145683289},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5599182844161987},{"id":"https://openalex.org/keywords/subsidence","display_name":"Subsidence","score":0.5538687109947205},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.5200626254081726},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4922453463077545},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4377441704273224},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4166972041130066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3943289518356323},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.38011494278907776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37257856130599976},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3699492812156677},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32900530099868774},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2974725365638733},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2219703197479248},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.15946483612060547},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10549908876419067}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6410548686981201},{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.5639240145683289},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5599182844161987},{"id":"https://openalex.org/C180851071","wikidata":"https://www.wikidata.org/wiki/Q849953","display_name":"Subsidence","level":3,"score":0.5538687109947205},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5200626254081726},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4922453463077545},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4377441704273224},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4166972041130066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3943289518356323},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.38011494278907776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37257856130599976},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3699492812156677},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32900530099868774},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2974725365638733},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2219703197479248},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.15946483612060547},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10549908876419067},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12213627","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12213627","pdf_url":"https://www.mdpi.com/2072-4292/12/21/3627/pdf?version=1604697365","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9f1eb66a85ad414e9d4f95b21d9c2c2c","is_oa":true,"landing_page_url":"https://doaj.org/article/9f1eb66a85ad414e9d4f95b21d9c2c2c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 12, Iss 21, p 3627 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/21/3627/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12213627","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 12; Issue 21; Pages: 3627","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12213627","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12213627","pdf_url":"https://www.mdpi.com/2072-4292/12/21/3627/pdf?version=1604697365","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G4385756174","display_name":null,"funder_award_id":"No. 2019R1A2C1085686","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3096889504.pdf"},"referenced_works_count":85,"referenced_works":["https://openalex.org/W38312497","https://openalex.org/W319986233","https://openalex.org/W1547372245","https://openalex.org/W1562303567","https://openalex.org/W1674096807","https://openalex.org/W1850710971","https://openalex.org/W1970673507","https://openalex.org/W1972002878","https://openalex.org/W1976777460","https://openalex.org/W1977177161","https://openalex.org/W1981386549","https://openalex.org/W1983471943","https://openalex.org/W1988790447","https://openalex.org/W1989156417","https://openalex.org/W1997612043","https://openalex.org/W1999341492","https://openalex.org/W2005420076","https://openalex.org/W2009608694","https://openalex.org/W2013211795","https://openalex.org/W2014096270","https://openalex.org/W2017493692","https://openalex.org/W2019957091","https://openalex.org/W2020010421","https://openalex.org/W2024046085","https://openalex.org/W2028370714","https://openalex.org/W2032225608","https://openalex.org/W2033335277","https://openalex.org/W2038493646","https://openalex.org/W2047029664","https://openalex.org/W2047511390","https://openalex.org/W2060118842","https://openalex.org/W2066173393","https://openalex.org/W2067869805","https://openalex.org/W2082941103","https://openalex.org/W2084744129","https://openalex.org/W2113545279","https://openalex.org/W2121773078","https://openalex.org/W2126951527","https://openalex.org/W2131434734","https://openalex.org/W2136562698","https://openalex.org/W2147373555","https://openalex.org/W2147882638","https://openalex.org/W2158698691","https://openalex.org/W2165261460","https://openalex.org/W2169356794","https://openalex.org/W2172273988","https://openalex.org/W2192249243","https://openalex.org/W2204693006","https://openalex.org/W2227371273","https://openalex.org/W2240099454","https://openalex.org/W2260201865","https://openalex.org/W2285081752","https://openalex.org/W2301518504","https://openalex.org/W2465421968","https://openalex.org/W2498119267","https://openalex.org/W2519746072","https://openalex.org/W2528353207","https://openalex.org/W2531120332","https://openalex.org/W2546720973","https://openalex.org/W2565419006","https://openalex.org/W2590380458","https://openalex.org/W2600613195","https://openalex.org/W2885746866","https://openalex.org/W2886659170","https://openalex.org/W2887953559","https://openalex.org/W2896791226","https://openalex.org/W2901916307","https://openalex.org/W2909188960","https://openalex.org/W2910879352","https://openalex.org/W2926576091","https://openalex.org/W2934304630","https://openalex.org/W2948493558","https://openalex.org/W2970168469","https://openalex.org/W3004928015","https://openalex.org/W3015539238","https://openalex.org/W3021275706","https://openalex.org/W3028498831","https://openalex.org/W3031142114","https://openalex.org/W3175033560","https://openalex.org/W3205423163","https://openalex.org/W6651935915","https://openalex.org/W6653763402","https://openalex.org/W6657331519","https://openalex.org/W6778551726","https://openalex.org/W6798090994"],"related_works":["https://openalex.org/W3206958763","https://openalex.org/W2159160885","https://openalex.org/W2127359929","https://openalex.org/W2113346282","https://openalex.org/W2374921833","https://openalex.org/W2130313420","https://openalex.org/W2367032543","https://openalex.org/W2365547495","https://openalex.org/W4294237504","https://openalex.org/W2011666252"],"abstract_inverted_index":{"Areas":[0],"at":[1],"risk":[2],"of":[3,22,135],"land":[4,13,45,63,141,153,193,205],"subsidence":[5,14,46,64,142,147,154,175,194,206],"in":[6,133,207],"Jakarta":[7],"can":[8,197,212],"be":[9,198,213],"identified":[10],"using":[11,27,50,68],"a":[12,23,44,101],"susceptibility":[15,24,125,155,176,195],"map.":[16],"This":[17],"study":[18,217],"evaluates":[19],"the":[20,51,69,79,124,131,158,170,181],"quality":[21],"map":[25,48,196],"made":[26],"functional":[28],"(logistic":[29],"regression":[30,186],"and":[31,34,37,94,99,127,137,188,209],"multilayer":[32,182],"perceptron)":[33],"meta-ensemble":[35],"(AdaBoost":[36],"LogitBoost)":[38],"machine":[39],"learning":[40],"algorithms":[41],"based":[42,77],"on":[43,78],"inventory":[47],"generated":[49],"Sentinel-1":[52],"synthetic":[53,72],"aperture":[54,73],"radar":[55,74],"(SAR)":[56],"dataset":[57],"from":[58,92,157],"2017":[59],"to":[60,151,200,215],"2020.":[61],"The":[62,87,161,192],"locations":[65],"were":[66,97,115,149],"assessed":[67],"time-series":[70],"interferometry":[71],"(InSAR)":[75],"method":[76,211],"Stanford":[80],"Method":[81],"for":[82,122,129],"Persistent":[83,107],"Scatterers":[84],"(StaMPS)":[85],"algorithm.":[86],"mean":[88,111],"vertical":[89,112],"deformation":[90,113],"maps":[91,156],"ascending":[93],"descending":[95],"tracks":[96],"compared":[98],"showed":[100,168],"good":[102],"correlation":[103],"between":[104],"displacement":[105],"patterns.":[106],"scatterer":[108],"points":[109],"with":[110,146],"value":[114],"randomly":[116],"divided":[117],"into":[118],"two":[119],"datasets:":[120],"50%":[121,128],"training":[123],"model":[126,132],"validating":[130],"terms":[134],"accuracy":[136,178],"reliability.":[138],"Additionally,":[139],"14":[140],"conditioning":[143],"factors":[144],"correlated":[145],"occurrence":[148],"used":[150,199],"generate":[152],"four":[159],"algorithms.":[160,191],"receiver":[162],"operating":[163],"characteristic":[164],"(ROC)":[165],"curve":[166],"analysis":[167],"that":[169],"AdaBoost":[171],"algorithm":[172],"has":[173],"higher":[174],"prediction":[177],"(81.1%)":[179],"than":[180],"perceptron":[183],"(80%),":[184],"logistic":[185],"(79.4%),":[187],"LogitBoost":[189],"(79.1%)":[190],"mitigate":[201],"disasters":[202],"caused":[203],"by":[204],"Jakarta,":[208],"our":[210],"applied":[214],"other":[216],"areas.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":10}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
