{"id":"https://openalex.org/W7212262242","doi":"https://doi.org/10.1016/j.acags.2026.100407","title":"Shoreline kinematics in Libreville (Gabon) derived from very high spatial resolution (VHR) imagery using machine and deep learning techniques","display_name":"Shoreline kinematics in Libreville (Gabon) derived from very high spatial resolution (VHR) imagery using machine and deep learning techniques","publication_year":2026,"publication_date":"2026-09-11","ids":{"openalex":"https://openalex.org/W7212262242","doi":"https://doi.org/10.1016/j.acags.2026.100407"},"language":"en","primary_location":{"id":"doi:10.1016/j.acags.2026.100407","doi":"https://doi.org/10.1016/j.acags.2026.100407","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.acags.2026.100407","pdf_url":null,"source":{"id":"https://openalex.org/S4210236406","display_name":"Applied Computing and Geosciences","issn_l":"2590-1974","issn":["2590-1974"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-20"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computing and Geosciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.acags.2026.100407","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093091515","display_name":"Nina Manomba-Mbadinga","orcid":"https://orcid.org/0009-0003-0700-5162","observed_orcids":["https://orcid.org/0009-0003-0700-5162"]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4387153176","display_name":"Littoral, Environnement, T\u00e9l\u00e9d\u00e9tection, G\u00e9omatique","ror":"https://ror.org/05sat2s07","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I3124938446","https://openalex.org/I4387153176","https://openalex.org/I4405260085","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Nina Manomba-Mbadinga","raw_affiliation_strings":["University of Brest, CNRS, LETG Brest UMR 6554 CNRS, Technop\u00f4le Brest-Iroise, Dumont d'Urville, Plouzan\u00e9, 29280, France"],"raw_orcid":"https://orcid.org/0009-0003-0700-5162","affiliations":[{"raw_affiliation_string":"University of Brest, CNRS, LETG Brest UMR 6554 CNRS, Technop\u00f4le Brest-Iroise, Dumont d'Urville, Plouzan\u00e9, 29280, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4387153176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049209034","display_name":"Simona Niculescu","orcid":"https://orcid.org/0000-0003-1141-3233","observed_orcids":["https://orcid.org/0000-0003-1141-3233"]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I185839726","display_name":"Institut Universitaire de France","ror":"https://ror.org/055khg266","country_code":"FR","type":"education","lineage":["https://openalex.org/I185839726"]},{"id":"https://openalex.org/I4387153176","display_name":"Littoral, Environnement, T\u00e9l\u00e9d\u00e9tection, G\u00e9omatique","ror":"https://ror.org/05sat2s07","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I3124938446","https://openalex.org/I4387153176","https://openalex.org/I4405260085","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Simona Niculescu","raw_affiliation_strings":["Institut Universitaire de France (IUF), Paris, 75000, France","University of Brest, CNRS, LETG Brest UMR 6554 CNRS, Technop\u00f4le Brest-Iroise, Dumont d'Urville, Plouzan\u00e9, 29280, France"],"raw_orcid":"https://orcid.org/0000-0003-1141-3233","affiliations":[{"raw_affiliation_string":"Institut Universitaire de France (IUF), Paris, 75000, France","institution_ids":["https://openalex.org/I185839726"]},{"raw_affiliation_string":"University of Brest, CNRS, LETG Brest UMR 6554 CNRS, Technop\u00f4le Brest-Iroise, Dumont d'Urville, Plouzan\u00e9, 29280, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4387153176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093091515"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4387153176"],"apc_list":{"value":2040,"currency":"USD","value_usd":2040},"apc_paid":{"value":2040,"currency":"USD","value_usd":2040},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.59555756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"100407","last_page":"100407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10647","display_name":"Coastal and Marine Dynamics","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1904","display_name":"Earth-Surface Processes"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10647","display_name":"Coastal and Marine Dynamics","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1904","display_name":"Earth-Surface Processes"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.0010999999940395355,"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/T10779","display_name":"Coastal wetland ecosystem dynamics","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shoreline-change","display_name":"shoreline change","score":0.8009999990463257},{"id":"https://openalex.org/keywords/libreville","display_name":"Libreville","score":0.8489999771118164},{"id":"https://openalex.org/keywords/shoreline-accretion","display_name":"coastal accretion","score":0.6389999985694885},{"id":"https://openalex.org/keywords/shoreline-extraction","display_name":"shoreline extraction","score":0.5410000085830688},{"id":"https://openalex.org/keywords/pleiades-stereo-imagery","display_name":"Pl\u00e9iades stereo imagery","score":0.8769999742507935},{"id":"https://openalex.org/keywords/object-based-image-analysis","display_name":"object-based image analysis","score":0.824999988079071},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.6990000009536743},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7549999952316284},{"id":"https://openalex.org/keywords/diachronic-study","display_name":"diachronic analysis","score":0.6690000295639038},{"id":"https://openalex.org/keywords/coastal-mapping","display_name":"coastal cartography","score":0.3610000014305115}],"concepts":[{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.7900999784469604},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5828999876976013},{"id":"https://openalex.org/C152382732","wikidata":"https://www.wikidata.org/wiki/Q468756","display_name":"Shore","level":2,"score":0.5672000050544739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5188999772071838},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48570001125335693},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43389999866485596},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.3659999966621399},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2890999913215637},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C117455697","wikidata":"https://www.wikidata.org/wiki/Q190149","display_name":"Photogrammetry","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C2988134249","wikidata":"https://www.wikidata.org/wiki/Q22932371","display_name":"Deep water","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/j.acags.2026.100407","doi":"https://doi.org/10.1016/j.acags.2026.100407","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.acags.2026.100407","pdf_url":null,"source":{"id":"https://openalex.org/S4210236406","display_name":"Applied Computing and Geosciences","issn_l":"2590-1974","issn":["2590-1974"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-20"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computing and Geosciences","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-05752486v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-05752486v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Computing and Geosciences, 2026, 32, pp.100407. &#x27E8;10.1016/j.acags.2026.100407&#x27E9;","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:6cda5eff0f6542ef800e84d8351a28de","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/6cda5eff0f6542ef800e84d8351a28de","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Computing and Geosciences, Vol 32, Iss , Pp 100407- (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.acags.2026.100407","doi":"https://doi.org/10.1016/j.acags.2026.100407","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.acags.2026.100407","pdf_url":null,"source":{"id":"https://openalex.org/S4210236406","display_name":"Applied Computing and Geosciences","issn_l":"2590-1974","issn":["2590-1974"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-20"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computing and Geosciences","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4943999946117401,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1978034823","https://openalex.org/W2053154970","https://openalex.org/W2110621574","https://openalex.org/W2114828048","https://openalex.org/W2132424470","https://openalex.org/W2266617176","https://openalex.org/W2564795694","https://openalex.org/W2737551033","https://openalex.org/W2801220536","https://openalex.org/W2888493296","https://openalex.org/W2941065216","https://openalex.org/W2998429027","https://openalex.org/W3022934908","https://openalex.org/W3038579873","https://openalex.org/W3138335943","https://openalex.org/W3173218676","https://openalex.org/W3174706233","https://openalex.org/W3205663347","https://openalex.org/W4220897083","https://openalex.org/W4245539475","https://openalex.org/W4285022722","https://openalex.org/W4292058731","https://openalex.org/W4310399269","https://openalex.org/W4313509732","https://openalex.org/W4315567872","https://openalex.org/W4382477149","https://openalex.org/W4387701286","https://openalex.org/W4388333579","https://openalex.org/W4402525198","https://openalex.org/W4409209563","https://openalex.org/W6911081238"],"related_works":["https://openalex.org/W4387770898","https://openalex.org/W4388425436","https://openalex.org/W3159160400","https://openalex.org/W3174706233","https://openalex.org/W4393092265","https://openalex.org/W4379794299","https://openalex.org/W4309509113","https://openalex.org/W3039031590","https://openalex.org/W2885938333","https://openalex.org/W2056319735"],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"(AI)":[2],",":[3],"remote":[4],"Sensing":[5],"(RS)":[6],"and":[7,9,19,37,41,60,67,99,132,163,172,178,188,194,213,229],"observations":[8],"field":[10,73],"data":[11,74],"offer":[12],"a":[13,76,105,118,234],"number":[14],"of":[15,22,62,91,95,102,207,219,237,254],"advantages":[16],"for":[17,26,135],"detection":[18],"automatic":[20],"extraction":[21,206],"coastline":[23,232],"evolution.":[24],"However,":[25],"many":[27],"countries":[28],"in":[29,139],"the":[30,89,92,97,109,146,198,205,220,231,243],"intertropical":[31],"zone,":[32],"such":[33],"as":[34,137],"Gabon,":[35,103],"accurate":[36],"up-to-date":[38],"mapping":[39],"systems":[40],"spatial":[42],"statistics":[43],"are":[44],"lacking":[45],"or":[46],"incomplete.":[47],"In":[48,241],"this":[49,83,116],"context,":[50],"RS":[51],"using":[52],"Very":[53],"High":[54],"Spatial":[55],"(VHR)":[56],"resolution":[57],"satellite":[58],"imagery":[59],"algorithms":[61],"AI,":[63],"Machine":[64,175],"Learning":[65,69],"(ML)":[66],"Deep":[68],"(DL)":[70],"associated":[71],"with":[72,145,168,190],"represents":[75],"major":[77],"asset.":[78],"The":[79,192,217],"primary":[80],"objective":[81],"on":[82],"work":[84],"is":[85],"to":[86,88,113,247],"contribute":[87],"understanding":[90],"shoreline":[93,141],"dynamics":[94],"Libreville,":[96],"political":[98],"administrative":[100],"capital":[101],"through":[104],"diachronic":[106],"analysis":[107,218],"covering":[108],"period":[110,244],"from":[111,122,130,209,245],"2003":[112,228],"2024.":[114],"To":[115],"end,":[117],"panchromatic":[119],"aerial":[120],"image":[121,129,134,148],"2003,":[123],"two":[124],"Pleiades":[125,147],"images":[126],"(a":[127],"stereo":[128],"2022":[131,210,246],"tri-stereo":[133],"2024),":[136],"well,":[138],"situ":[140],"surveys":[142],"conducted":[143],"simultaneously":[144],"acquisition,":[149],"were":[150],"utilized.":[151],"Several":[152],"AI":[153],"models":[154],"have":[155],"been":[156],"implemented:":[157],"ML":[158],"(Pixel-Based":[159],"Image":[160,165],"Analysis":[161,166],"(PBIA)":[162],"Object-Based":[164],"(OBIA)":[167],"Random":[169],"Forest":[170],"(RF)":[171],"Support":[173],"Vector":[174],"(SVM)":[176],"algorithms)":[177],"DL":[179],"(Convolutional":[180],"Neural":[181],"Network":[182],"(CNN)":[183],"processing":[184],"by":[185],"pixel-based":[186],"approach":[187],"combined":[189],"OBIA).":[191],"RF-PBIA":[193],"CNN-OBIA":[195],"approaches":[196],"yielded":[197],"best":[199],"classification":[200],"performances":[201],"(over":[202],"80%),":[203],"enabling":[204],"shorelines":[208],"(Pleiades":[211,215],"stereo)":[212],"2024":[214,248],"tri-stereo).":[216],"End":[221],"Point":[222],"Rate":[223],"index":[224],"revealed":[225],"that":[226],"between":[227],"2022,":[230],"exhibited":[233],"general":[235],"trend":[236],"accretion":[238],"(0.87":[239],"m/year).":[240],"contrast,":[242],"recorded":[249],"an":[250],"average":[251],"annual":[252],"rate":[253],"\u22120.32":[255],"m/year.":[256]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-09-12T00:00:00"}
