{"id":"https://openalex.org/W3110789926","doi":"https://doi.org/10.3390/rs12233976","title":"Surface Motion Prediction and Mapping for Road Infrastructures Management by PS-InSAR Measurements and Machine Learning Algorithms","display_name":"Surface Motion Prediction and Mapping for Road Infrastructures Management by PS-InSAR Measurements and Machine Learning Algorithms","publication_year":2020,"publication_date":"2020-12-04","ids":{"openalex":"https://openalex.org/W3110789926","doi":"https://doi.org/10.3390/rs12233976","mag":"3110789926"},"language":"en","primary_location":{"id":"doi:10.3390/rs12233976","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12233976","pdf_url":"https://www.mdpi.com/2072-4292/12/23/3976/pdf?version=1607394325","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/2072-4292/12/23/3976/pdf?version=1607394325","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089237787","display_name":"Nicholas Fiorentini","orcid":"https://orcid.org/0000-0002-8769-8610"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]},{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE","IT"],"is_corresponding":true,"raw_author_name":"Nicholas Fiorentini","raw_affiliation_strings":["Department of Civil and Industrial Engineering, Engineering School of the University of Pisa, Largo Lucio Lazzarino 1, 56126 Pisa, Italy","Institute of Geodesy and Photogrammetry, Technische Universit\u00e4t Braunschweig, Bienroder Weg 81, 38106 Braunschweig, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8769-8610","affiliations":[{"raw_affiliation_string":"Department of Civil and Industrial Engineering, Engineering School of the University of Pisa, Largo Lucio Lazzarino 1, 56126 Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"Institute of Geodesy and Photogrammetry, Technische Universit\u00e4t Braunschweig, Bienroder Weg 81, 38106 Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013498917","display_name":"Mehdi Maboudi","orcid":"https://orcid.org/0000-0003-3367-2404"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mehdi Maboudi","raw_affiliation_strings":["Institute of Geodesy and Photogrammetry, Technische Universit\u00e4t Braunschweig, Bienroder Weg 81, 38106 Braunschweig, Germany"],"raw_orcid":"https://orcid.org/0000-0003-3367-2404","affiliations":[{"raw_affiliation_string":"Institute of Geodesy and Photogrammetry, Technische Universit\u00e4t Braunschweig, Bienroder Weg 81, 38106 Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051725025","display_name":"Pietro Leandri","orcid":"https://orcid.org/0000-0002-9032-7749"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pietro Leandri","raw_affiliation_strings":["Department of Civil and Industrial Engineering, Engineering School of the University of Pisa, Largo Lucio Lazzarino 1, 56126 Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0002-9032-7749","affiliations":[{"raw_affiliation_string":"Department of Civil and Industrial Engineering, Engineering School of the University of Pisa, Largo Lucio Lazzarino 1, 56126 Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058624152","display_name":"Massimo Losa","orcid":"https://orcid.org/0000-0001-7354-8534"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Losa","raw_affiliation_strings":["Department of Civil and Industrial Engineering, Engineering School of the University of Pisa, Largo Lucio Lazzarino 1, 56126 Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Industrial Engineering, Engineering School of the University of Pisa, Largo Lucio Lazzarino 1, 56126 Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046864745","display_name":"M. Gerke","orcid":"https://orcid.org/0000-0002-2221-6182"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Gerke","raw_affiliation_strings":["Institute of Geodesy and Photogrammetry, Technische Universit\u00e4t Braunschweig, Bienroder Weg 81, 38106 Braunschweig, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2221-6182","affiliations":[{"raw_affiliation_string":"Institute of Geodesy and Photogrammetry, Technische Universit\u00e4t Braunschweig, Bienroder Weg 81, 38106 Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089237787"],"corresponding_institution_ids":["https://openalex.org/I108290504","https://openalex.org/I94509681"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":10.415,"has_fulltext":true,"cited_by_count":58,"citation_normalized_percentile":{"value":0.97884777,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"12","issue":"23","first_page":"3976","last_page":"3976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9993000030517578,"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":0.9993000030517578,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9962999820709229,"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/T10644","display_name":"Cryospheric studies and observations","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7041980624198914},{"id":"https://openalex.org/keywords/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.6798275113105774},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6707321405410767},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.650239109992981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6371458768844604},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6044080257415771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6011667251586914},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.5516074299812317},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47212252020835876},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4568096697330475},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4408543109893799},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3732634484767914},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3116892874240875}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7041980624198914},{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.6798275113105774},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6707321405410767},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.650239109992981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6371458768844604},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6044080257415771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6011667251586914},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.5516074299812317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47212252020835876},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4568096697330475},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4408543109893799},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3732634484767914},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3116892874240875}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs12233976","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12233976","pdf_url":"https://www.mdpi.com/2072-4292/12/23/3976/pdf?version=1607394325","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:arpi.unipi.it:11568/1079808","is_oa":true,"landing_page_url":"http://hdl.handle.net/11568/1079808","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"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":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:c4ebdcca26bf43a58defa5d2126b5cc5","is_oa":true,"landing_page_url":"https://doaj.org/article/c4ebdcca26bf43a58defa5d2126b5cc5","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 23, p 3976 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/23/3976/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12233976","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12233976","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12233976","pdf_url":"https://www.mdpi.com/2072-4292/12/23/3976/pdf?version=1607394325","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":[{"id":"https://metadata.un.org/sdg/9","score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2380869677","display_name":null,"funder_award_id":"20179BP4SM","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G7262012074","display_name":null,"funder_award_id":"PRIN project n\u00b020179BP4SM","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"}],"funders":[{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"},{"id":"https://openalex.org/F4320326084","display_name":"Regione Toscana","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3110789926.pdf","grobid_xml":"https://content.openalex.org/works/W3110789926.grobid-xml"},"referenced_works_count":162,"referenced_works":["https://openalex.org/W56743589","https://openalex.org/W94571269","https://openalex.org/W164008156","https://openalex.org/W207098890","https://openalex.org/W604980702","https://openalex.org/W1192997862","https://openalex.org/W1526146785","https://openalex.org/W1571836963","https://openalex.org/W1678356000","https://openalex.org/W1680392829","https://openalex.org/W1964357740","https://openalex.org/W1965620617","https://openalex.org/W1975914988","https://openalex.org/W1977773667","https://openalex.org/W1978784463","https://openalex.org/W1981047568","https://openalex.org/W1981646498","https://openalex.org/W1981721806","https://openalex.org/W1982623886","https://openalex.org/W1983023737","https://openalex.org/W1984065426","https://openalex.org/W1985479415","https://openalex.org/W1985480487","https://openalex.org/W1987226764","https://openalex.org/W1988790447","https://openalex.org/W1990865558","https://openalex.org/W1991445631","https://openalex.org/W1996516375","https://openalex.org/W2000535021","https://openalex.org/W2001178285","https://openalex.org/W2003049509","https://openalex.org/W2005357680","https://openalex.org/W2005420076","https://openalex.org/W2007695941","https://openalex.org/W2007776436","https://openalex.org/W2012118327","https://openalex.org/W2013991066","https://openalex.org/W2014096270","https://openalex.org/W2015804366","https://openalex.org/W2017337590","https://openalex.org/W2017388337","https://openalex.org/W2026796366","https://openalex.org/W2027666102","https://openalex.org/W2028124403","https://openalex.org/W2030292967","https://openalex.org/W2034284047","https://openalex.org/W2035805324","https://openalex.org/W2041239366","https://openalex.org/W2042315239","https://openalex.org/W2046995465","https://openalex.org/W2047029664","https://openalex.org/W2057039778","https://openalex.org/W2070661281","https://openalex.org/W2076546844","https://openalex.org/W2087347434","https://openalex.org/W2088730795","https://openalex.org/W2099008772","https://openalex.org/W2102909657","https://openalex.org/W2123737232","https://openalex.org/W2131241448","https://openalex.org/W2133758635","https://openalex.org/W2133990480","https://openalex.org/W2135695572","https://openalex.org/W2137034166","https://openalex.org/W2139222459","https://openalex.org/W2140928180","https://openalex.org/W2143296882","https://openalex.org/W2151666808","https://openalex.org/W2156909104","https://openalex.org/W2159624360","https://openalex.org/W2162298537","https://openalex.org/W2167191085","https://openalex.org/W2168020168","https://openalex.org/W2169178923","https://openalex.org/W2171769281","https://openalex.org/W2278830514","https://openalex.org/W2300188074","https://openalex.org/W2307805773","https://openalex.org/W2333252900","https://openalex.org/W2402008511","https://openalex.org/W2468462628","https://openalex.org/W2481438384","https://openalex.org/W2491159077","https://openalex.org/W2551944316","https://openalex.org/W2555874104","https://openalex.org/W2563685832","https://openalex.org/W2566121015","https://openalex.org/W2567522450","https://openalex.org/W2593181698","https://openalex.org/W2606642786","https://openalex.org/W2619251816","https://openalex.org/W2642328127","https://openalex.org/W2734428930","https://openalex.org/W2744351284","https://openalex.org/W2745383746","https://openalex.org/W2757641669","https://openalex.org/W2773213923","https://openalex.org/W2783889677","https://openalex.org/W2797092204","https://openalex.org/W2802580833","https://openalex.org/W2802780461","https://openalex.org/W2883123736","https://openalex.org/W2887697414","https://openalex.org/W2891562272","https://openalex.org/W2895187584","https://openalex.org/W2895633339","https://openalex.org/W2904031581","https://openalex.org/W2905564388","https://openalex.org/W2908458916","https://openalex.org/W2911424673","https://openalex.org/W2911964244","https://openalex.org/W2917804691","https://openalex.org/W2920548804","https://openalex.org/W2927539500","https://openalex.org/W2934304630","https://openalex.org/W2939945347","https://openalex.org/W2945235567","https://openalex.org/W2950469931","https://openalex.org/W2951626165","https://openalex.org/W2953423956","https://openalex.org/W2960786458","https://openalex.org/W2967663220","https://openalex.org/W2967778419","https://openalex.org/W2969608668","https://openalex.org/W2972075568","https://openalex.org/W2972085861","https://openalex.org/W2978522609","https://openalex.org/W2994847485","https://openalex.org/W2997693998","https://openalex.org/W2998216295","https://openalex.org/W3014064419","https://openalex.org/W3015368251","https://openalex.org/W3015774492","https://openalex.org/W3016556330","https://openalex.org/W3018962593","https://openalex.org/W3041776689","https://openalex.org/W3044718651","https://openalex.org/W3045297418","https://openalex.org/W3045566724","https://openalex.org/W3047291698","https://openalex.org/W3080331655","https://openalex.org/W4210949798","https://openalex.org/W4211049957","https://openalex.org/W4230603309","https://openalex.org/W4238078688","https://openalex.org/W4285719527","https://openalex.org/W6602288617","https://openalex.org/W6603851545","https://openalex.org/W6629804754","https://openalex.org/W6631556622","https://openalex.org/W6632920007","https://openalex.org/W6651935915","https://openalex.org/W6684759661","https://openalex.org/W6693698958","https://openalex.org/W6722960724","https://openalex.org/W6731330391","https://openalex.org/W6731497216","https://openalex.org/W6757948805","https://openalex.org/W6766576792","https://openalex.org/W6776453582","https://openalex.org/W6843735874","https://openalex.org/W6986476640"],"related_works":["https://openalex.org/W4367313141","https://openalex.org/W2790032735","https://openalex.org/W2373310320","https://openalex.org/W2004086023","https://openalex.org/W2781934594","https://openalex.org/W4384163768","https://openalex.org/W2733999579","https://openalex.org/W3206958763","https://openalex.org/W2159160885","https://openalex.org/W4363647452"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,193,199],"methodology":[4,316],"for":[5,36,67,159,283,303,317],"predicting":[6],"and":[7,29,47,52,61,132,137,155,181,189,198,207,217,228,246,271,321],"mapping":[8,284],"surface":[9,70,285],"motion":[10,71,286],"beneath":[11],"road":[12],"pavement":[13],"structures":[14],"caused":[15],"by":[16,128,219],"environmental":[17],"factors.":[18],"Persistent":[19,113],"Scatterer":[20],"Interferometric":[21],"Synthetic":[22],"Aperture":[23],"Radar":[24],"(PS-InSAR)":[25],"measurements,":[26],"geospatial":[27],"analyses,":[28],"Machine":[30,50],"Learning":[31],"Algorithms":[32],"(MLAs)":[33],"are":[34,65,126,157,205,230,281],"employed":[35,138],"achieving":[37],"the":[38,69,78,108,143,161,171,177,187,203,210,221,231,236,241,247,256,259,263,274,288,305,308,314],"purpose.":[39],"Two":[40],"single":[41],"learners,":[42,55],"i.e.,":[43,56],"Regression":[44,58],"Tree":[45],"(RT)":[46],"Support":[48],"Vector":[49],"(SVM),":[51],"two":[53],"ensemble":[54],"Boosted":[57],"Trees":[59],"(BRT)":[60],"Random":[62],"Forest":[63],"(RF)":[64],"utilized":[66],"estimating":[68],"ratio":[72],"in":[73,88,170,179,235],"terms":[74],"of":[75,80,98,111,122,163,176,213,266,273,299,307],"mm/year":[76],"over":[77,287],"Province":[79],"Pistoia":[81],"(Tuscany":[82],"Region,":[83],"central":[84],"Italy,":[85],"964":[86],"km2),":[87],"which":[89],"strong":[90],"subsidence":[91],"phenomena":[92],"have":[93],"occurred.":[94],"The":[95],"interferometric":[96],"process":[97],"210":[99],"Sentinel-1":[100],"images":[101],"from":[102],"2014":[103],"to":[104,118,167,185],"2019":[105],"allows":[106],"exploiting":[107],"average":[109],"displacements":[110],"52,257":[112],"Scatterers":[114],"as":[115,139],"output":[116],"targets":[117],"predict.":[119],"A":[120,173],"set":[121,162],"29":[123],"environmental-related":[124],"factors":[125],"preprocessed":[127],"SAGA-GIS,":[129],"version":[130,135],"2.3.2,":[131],"ESRI":[133],"ArcGIS,":[134],"10.5,":[136],"input":[140],"features.":[141],"Once":[142],"dataset":[144,178],"has":[145,240,258],"been":[146],"prepared,":[147],"three":[148,293],"wrapper":[149],"feature":[150],"selection":[151],"approaches":[152],"(backward,":[153],"forward,":[154],"bi-directional)":[156],"used":[158,169,282],"recognizing":[160],"most":[164,232],"relevant":[165],"features":[166],"be":[168],"modeling.":[172],"random":[174],"splitting":[175],"70%":[180],"30%":[182],"is":[183,215],"implemented":[184],"identify":[186],"training":[188],"test":[190,237],"set.":[191],"Through":[192],"Bayesian":[194],"Optimization":[195],"Algorithm":[196],"(BOA)":[197],"10-Fold":[200],"Cross-Validation":[201],"(CV),":[202],"algorithms":[204,280],"trained":[206],"validated.":[208],"Therefore,":[209],"Predictive":[211],"Performance":[212],"MLAs":[214],"evaluated":[216],"compared":[218],"plotting":[220],"Taylor":[222],"Diagram.":[223],"Outcomes":[224],"show":[225],"that":[226,272],"SVM":[227,257],"BRT":[229,239],"suitable":[233],"algorithms;":[234],"phase,":[238],"highest":[242],"Correlation":[243],"Coefficient":[244],"(0.96)":[245],"lowest":[248,260],"Root":[249],"Mean":[250],"Square":[251],"Error":[252],"(0.44":[253],"mm/year),":[254],"while":[255],"difference":[261],"between":[262],"standard":[264],"deviation":[265],"its":[267],"predictions":[268],"(2.05":[269],"mm/year)":[270],"reference":[275],"samples":[276],"(2.09":[277],"mm/year).":[278],"Finally,":[279],"study":[289],"area.":[290],"We":[291],"propose":[292],"case":[294],"studies":[295],"on":[296],"critical":[297],"stretches":[298],"two-lane":[300],"rural":[301],"roads":[302],"evaluating":[304],"reliability":[306],"procedure.":[309],"Road":[310],"authorities":[311],"could":[312],"consider":[313],"proposed":[315],"their":[318],"monitoring,":[319],"management,":[320],"planning":[322],"activities.":[323]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2020-12-21T00:00:00"}