{"id":"https://openalex.org/W3022043513","doi":"https://doi.org/10.1109/access.2020.2991187","title":"GlacierNet: A Deep-Learning Approach for Debris-Covered Glacier Mapping","display_name":"GlacierNet: A Deep-Learning Approach for Debris-Covered Glacier Mapping","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3022043513","doi":"https://doi.org/10.1109/access.2020.2991187","mag":"3022043513"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2991187","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2991187","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09081912.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09081912.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101844885","display_name":"Zhiyuan Xie","orcid":"https://orcid.org/0000-0003-0372-7961"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiyuan Xie","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, Dayton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044538083","display_name":"Umesh K. Haritashya","orcid":"https://orcid.org/0000-0001-9527-954X"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Umesh K. Haritashya","raw_affiliation_strings":["Department of Geology, University of Dayton, Dayton, USA"],"raw_orcid":"https://orcid.org/0000-0001-9527-954X","affiliations":[{"raw_affiliation_string":"Department of Geology, University of Dayton, Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061050831","display_name":"Vijayan K. Asari","orcid":"https://orcid.org/0000-0002-3751-5492"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijayan K. Asari","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Dayton, Dayton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Dayton, Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063496627","display_name":"Brennan W. Young","orcid":"https://orcid.org/0000-0003-3838-7290"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brennan W. Young","raw_affiliation_strings":["Department of Geography, Texas A&M University, College Station, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024243702","display_name":"Michael P. Bishop","orcid":"https://orcid.org/0000-0002-0298-6665"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael P. Bishop","raw_affiliation_strings":["Department of Geography, Texas A&M University, College Station, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, Texas A&M University, College Station, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011305275","display_name":"Jeffrey S. Kargel","orcid":"https://orcid.org/0000-0002-5506-1797"},"institutions":[{"id":"https://openalex.org/I1302918504","display_name":"Planetary Science Institute","ror":"https://ror.org/05vvg9554","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1302918504"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey S. Kargel","raw_affiliation_strings":["Planetary Science Institute, Tucson, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Planetary Science Institute, Tucson, USA","institution_ids":["https://openalex.org/I1302918504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.549,"has_fulltext":true,"cited_by_count":92,"citation_normalized_percentile":{"value":0.96124612,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"83495","last_page":"83510"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":1.0,"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"}},{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9987999796867371,"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/T11333","display_name":"Climate change and permafrost","score":0.9940000176429749,"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/glacier","display_name":"Glacier","score":0.8015456199645996},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.6370289921760559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5896711349487305},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5752594470977783},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5597777366638184},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5514633059501648},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5438469052314758},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5282971858978271},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.5051410794258118},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.5014767646789551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49263840913772583},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4294032156467438},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.3407973051071167},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.22394999861717224},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18629056215286255}],"concepts":[{"id":"https://openalex.org/C100834320","wikidata":"https://www.wikidata.org/wiki/Q35666","display_name":"Glacier","level":2,"score":0.8015456199645996},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.6370289921760559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5896711349487305},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5752594470977783},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5597777366638184},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5514633059501648},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5438469052314758},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5282971858978271},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.5051410794258118},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5014767646789551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49263840913772583},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4294032156467438},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3407973051071167},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.22394999861717224},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18629056215286255},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2991187","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2991187","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09081912.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:560501f71704430394b2cf7cd11d1c37","is_oa":true,"landing_page_url":"https://doaj.org/article/560501f71704430394b2cf7cd11d1c37","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":"IEEE Access, Vol 8, Pp 83495-83510 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2991187","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2991187","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09081912.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4991442728","display_name":"PROJECT START DATE IS BEING SHIFTED TO SEP. 20, 2016 BOTH IN RESPONSE TO PROGRAMMATIC ENCOURAGEMENT OF EARLIER STARTS AND TO ALLOW A 1-DAY TEST DEPLO","funder_award_id":"NNX16AQ62G","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G5112759109","display_name":null,"funder_award_id":"80NSSC19K0653","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G8852380860","display_name":"WE PLAN TO INVESTIGATE GEOLOGIC AND TOPOGRAPHIC SETTINGS AND TRIGGERS OF LARGE HISTORIC  PRE-HISTORIC AND FUTURE LANDSLIDES IN THE HIMALAYA AND KARAKORAM  INCLUDING RIVER DAMMING AND OTHER ASSOCIATED HAZARDOUS EVENTS OF TRANSBOUNDARY CONSEQUENCES. THE REGION OF INTEREST INVOLVES THE INTERNATIONAL BORDER AREAS WITHIN THE LARGER REGION DEPICTED IN FIGURE 1. WE WILL MODEL SUSCEPTIBILITIES OF THE TERRAIN TO PRODUCE SIMILAR LARGE LANDSLIDES IN THE FUTURE DUE TO ICE MELT  SEISMICITY  OR STOCHASTIC FAILURES. WE WILL USE U OF A S DISTRIBUTED MEMORY CLUSTER TO COMPUTE SEISMIC WAVE PROPAGATION AND SURFACE INTERACTION IN THE COMPLEX TOPOGRAPHY AND FIRST-ORDER GEOLOGIC STRUCTURE OF THE 2015 GORKHA-EARTHQUAKE-AFFECTED HIMALAYAN REGION AND THE 2005 KASHMIR EARTHQUAKE AREA IN THE KARAKORAM. SHAKING-RELATED LANDSLIDE SUSCEPTIBILITY WILL BE TESTED USING OUTCOME OF THE 2015 GORKHA EARTHQUAKE; MONSOON RELATED LANDSLIDES WILL BE EVALUATED NEARBY BUT WHERE SEISMICITY WAS WEAK.","funder_award_id":"80NSSC18K0432","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320310486","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27"},{"id":"https://openalex.org/F4320322037","display_name":"Nuclear Safety and Security Commission","ror":"https://ror.org/05qk3ge34"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3022043513.pdf","grobid_xml":"https://content.openalex.org/works/W3022043513.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W81502954","https://openalex.org/W161062918","https://openalex.org/W639708223","https://openalex.org/W1483855237","https://openalex.org/W1536680647","https://openalex.org/W1672852929","https://openalex.org/W1686810756","https://openalex.org/W1857884451","https://openalex.org/W1901129140","https://openalex.org/W1978959611","https://openalex.org/W2015251024","https://openalex.org/W2017571030","https://openalex.org/W2037227137","https://openalex.org/W2043728583","https://openalex.org/W2064132310","https://openalex.org/W2068323264","https://openalex.org/W2080976015","https://openalex.org/W2097117768","https://openalex.org/W2101926813","https://openalex.org/W2112796928","https://openalex.org/W2117549317","https://openalex.org/W2117731089","https://openalex.org/W2124173916","https://openalex.org/W2156661232","https://openalex.org/W2162163613","https://openalex.org/W2163605009","https://openalex.org/W2168601869","https://openalex.org/W2168893862","https://openalex.org/W2173640817","https://openalex.org/W2183182206","https://openalex.org/W2194600065","https://openalex.org/W2194775991","https://openalex.org/W2234734763","https://openalex.org/W2263420555","https://openalex.org/W2399163247","https://openalex.org/W2410359628","https://openalex.org/W2467909254","https://openalex.org/W2550521585","https://openalex.org/W2566457274","https://openalex.org/W2585408558","https://openalex.org/W2615177226","https://openalex.org/W2744952291","https://openalex.org/W2746924719","https://openalex.org/W2765357843","https://openalex.org/W2783298993","https://openalex.org/W2793091350","https://openalex.org/W2796065709","https://openalex.org/W2798542376","https://openalex.org/W2803760832","https://openalex.org/W2889780520","https://openalex.org/W2901296248","https://openalex.org/W2901464108","https://openalex.org/W2905312190","https://openalex.org/W2916558994","https://openalex.org/W2923782278","https://openalex.org/W2963303951","https://openalex.org/W2963881378","https://openalex.org/W2998879183","https://openalex.org/W3005101161","https://openalex.org/W3124168583","https://openalex.org/W4249790996","https://openalex.org/W4293568472","https://openalex.org/W4379159878","https://openalex.org/W6603365379","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6684191040","https://openalex.org/W6685802191","https://openalex.org/W6853739027"],"related_works":["https://openalex.org/W2004086023","https://openalex.org/W4367313141","https://openalex.org/W2733999579","https://openalex.org/W2910751785","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Rising":[0],"global":[1],"temperatures":[2],"over":[3],"the":[4,48,97,111,114,136,150,163],"past":[5],"decades":[6],"is":[7,23,30,57],"directly":[8],"affecting":[9],"glacier":[10,14,26,133],"dynamics.":[11],"To":[12],"understand":[13],"fluctuations":[15],"and":[16,81,100,104,106,120,131,145,152,174],"document":[17],"regional":[18],"glacier-state":[19],"trends,":[20],"glacier-boundary":[21],"detection":[22],"necessary.":[24],"Debris-covered":[25],"(DCG)":[27],"mapping,":[28,45],"however,":[29],"notoriously":[31],"difficult":[32],"using":[33,128],"conventional":[34],"geospatial":[35],"technology":[36],"methods.":[37],"Therefore,":[38],"in":[39,149],"this":[40],"research":[41],"for":[42],"automated":[43],"DCG":[44],"we":[46],"evaluate":[47],"utility":[49],"of":[50,102,113,165,172],"a":[51,58,168],"convolutional":[52],"neural":[53,62],"network":[54],"(CNN),":[55],"which":[56],"deep":[59],"learning":[60],"feed-forward":[61],"network.":[63],"The":[64,123],"CNN":[65,86,117],"inputs":[66],"include":[67],"Landsat":[68],"satellite":[69],"images,":[70],"an":[71],"Advanced":[72],"Land":[73,138],"Observation":[74],"Satellite":[75],"(ALOS)":[76],"digital":[77],"elevation":[78],"model":[79],"(DEM)":[80],"DEM-derived":[82],"land-surface":[83],"parameters.":[84],"Our":[85,155],"based":[87,109],"deep-learning":[88],"approach":[89],"named":[90],"GlacierNet":[91,124,160],"was":[92,125],"designed":[93],"by":[94],"appropriately":[95],"choosing":[96],"type,":[98],"number":[99],"size":[101],"layers":[103],"filters,":[105],"encoder":[107],"depth":[108],"on":[110,147],"properties":[112],"input":[115,129],"data,":[116],"segmentation":[118],"process":[119],"empirical":[121],"results.":[122],"then":[126],"trained":[127],"data":[130],"corresponding":[132],"boundaries":[134,164],"from":[135,141],"Global":[137],"Ice":[139],"Measurements":[140],"Space":[142],"(GLIMS)":[143],"database,":[144],"tested":[146],"glaciers":[148],"Karakoram":[151],"Nepal":[153],"Himalaya.":[154],"results":[156],"show":[157],"proof-of-concept":[158],"that":[159,175],"reasonably":[161],"identifies":[162],"DCGs":[166],"with":[167],"relatively":[169],"high":[170],"degree":[171],"accuracy,":[173],"morphometric":[176],"parameters":[177],"improves":[178],"boundary":[179],"detection.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}