{"id":"https://openalex.org/W4412536429","doi":"https://doi.org/10.1109/access.2025.3591178","title":"Detection of Inverted Channels Using Sentinel-1 Data and Sentinel-2 Data on Google Earth Engine: A Comparative Analysis","display_name":"Detection of Inverted Channels Using Sentinel-1 Data and Sentinel-2 Data on Google Earth Engine: A Comparative Analysis","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412536429","doi":"https://doi.org/10.1109/access.2025.3591178"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3591178","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3591178","pdf_url":null,"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://doi.org/10.1109/access.2025.3591178","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5105122951","display_name":"Xuhua Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuhua Weng","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-6609-2838","affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5105122951"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08402314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"138052","last_page":"138060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8237000107765198,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8237000107765198,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.7412999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5297573208808899},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.48080602288246155},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2941815257072449}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5297573208808899},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.48080602288246155},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2941815257072449}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3591178","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3591178","pdf_url":null,"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:81bb3888d1b9498b82aef6c083b7dbd4","is_oa":true,"landing_page_url":"https://doaj.org/article/81bb3888d1b9498b82aef6c083b7dbd4","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 13, Pp 138052-138060 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3591178","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3591178","pdf_url":null,"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":[{"display_name":"Climate action","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1525468096","https://openalex.org/W1966136668","https://openalex.org/W1980923158","https://openalex.org/W1995353316","https://openalex.org/W2013057904","https://openalex.org/W2014968593","https://openalex.org/W2035387294","https://openalex.org/W2039274462","https://openalex.org/W2049909233","https://openalex.org/W2050653203","https://openalex.org/W2054624361","https://openalex.org/W2071391721","https://openalex.org/W2089315775","https://openalex.org/W2103789938","https://openalex.org/W2104763670","https://openalex.org/W2117294245","https://openalex.org/W2129038850","https://openalex.org/W2145023731","https://openalex.org/W2145865550","https://openalex.org/W2152546160","https://openalex.org/W2159536874","https://openalex.org/W2222985393","https://openalex.org/W2247899547","https://openalex.org/W2275196731","https://openalex.org/W2406735371","https://openalex.org/W2766586799","https://openalex.org/W2773731871","https://openalex.org/W2793448453","https://openalex.org/W2799004851","https://openalex.org/W2954119628","https://openalex.org/W3023058341","https://openalex.org/W3042133984","https://openalex.org/W3042553974","https://openalex.org/W3044773400","https://openalex.org/W3045004897","https://openalex.org/W3045755298","https://openalex.org/W3047260318","https://openalex.org/W3093746061","https://openalex.org/W3146976285","https://openalex.org/W3159364221","https://openalex.org/W3200895678","https://openalex.org/W4226018455","https://openalex.org/W4256060553","https://openalex.org/W4406865740"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Inverted":[0],"fluvial":[1],"channels":[2,42],"are":[3,119,127],"significant":[4],"geomorphological":[5,272],"features,":[6],"particularly":[7],"in":[8,31,191,280],"arid":[9,32,281],"regions,":[10],"offering":[11,267],"insights":[12],"into":[13],"past":[14],"hydrological":[15,278],"regimes":[16],"and":[17,54,102,129,171,210,233,250,277],"paleo-climatic":[18],"conditions.":[19],"Accurate":[20],"mapping":[21],"of":[22,66,90,141,152,167,218,242,253],"these":[23,40],"features":[24],"is":[25,36,96],"crucial":[26],"for":[27,58,106,122,263,271],"understanding":[28],"landscape":[29,274],"evolution":[30,275],"regions.":[33],"However,":[34],"it":[35],"challenging":[37],"to":[38,97,113,169,177,230,246],"detect":[39],"inverted":[41,59,254,265],"over":[43],"large":[44],"areas":[45],"based":[46],"on":[47,85],"traditional":[48],"field":[49],"methods.":[50],"This":[51],"study":[52,134],"develops":[53],"evaluates":[55],"a":[56,67,76,165,207,238,247,268],"workflow":[57,258],"channel":[60,123,212],"detection":[61],"by":[62],"comparing":[63],"the":[64,87,139,142,150,156,192,195,203,215,219,225,243],"performance":[65],"Sentinel-1":[68,91,99],"Synthetic":[69],"Aperture":[70],"Radar":[71],"(SAR)":[72],"only":[73],"approach":[74,205],"with":[75,159,188],"synergistic":[77],"data":[78,101,105,143,154],"fusion":[79,144,204],"approach.":[80,145,221],"The":[81,93,125,136,256],"first":[82],"method":[83,95,262],"relies":[84],"thresholding":[86],"backscatter":[88],"intensity":[89],"imagery.":[92],"second":[94],"fuse":[98],"SAR":[100],"Sentinel-2":[103,153],"multispectral":[104],"classification":[107,115,157],"using":[108],"Random":[109],"Forest":[110],"(RF)":[111],"classifier":[112],"generate":[114],"probability":[116],"maps,":[117],"which":[118],"then":[120],"used":[121],"detection.":[124],"methodologies":[126],"tested":[128],"validated":[130],"across":[131],"four":[132],"distinct":[133],"sites.":[135],"results":[137],"demonstrate":[138],"superiority":[140],"Accuracy":[146,161],"assessments":[147],"show":[148],"that":[149,202,224],"integration":[151],"improve":[155],"performance,":[158],"Overall":[160],"(OA)":[162],"increasing":[163],"from":[164,175],"range":[166],"0.82-0.86":[168],"0.84-0.90":[170],"Kappa":[172],"coefficients":[173],"rising":[174],"0.66-0.77":[176],"0.69-0.79.":[178],"Receiver":[179],"operating":[180],"characteristic":[181],"(ROC)":[182],"analysis":[183],"further":[184],"confirms":[185],"this":[186],"enhancement,":[187],"an":[189,260],"increase":[190],"area":[193],"under":[194],"curve":[196],"(AUC).":[197],"Visual":[198],"comparison":[199],"also":[200],"shows":[201],"produces":[206],"more":[208,239],"coherent":[209],"complete":[211],"network,":[213],"overcoming":[214],"inherent":[216],"problems":[217],"SAR-only":[220],"We":[222],"conclude":[223],"synergy":[226],"between":[227],"Sentinel-1\u2019s":[228],"sensitivity":[229],"surface":[231],"roughness":[232],"Sentinel-2\u2019s":[234],"spectral":[235],"information":[236],"provides":[237,259],"comprehensive":[240],"characterization":[241],"landscape,":[244],"leading":[245],"highly":[248],"accurate":[249],"robust":[251],"delineation":[252],"channels.":[255],"proposed":[257],"efficient":[261],"detecting":[264],"channel,":[266],"valuable":[269],"tool":[270],"research,":[273],"studies,":[276],"exploration":[279],"environments.":[282]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}