{"id":"https://openalex.org/W3212011366","doi":"https://doi.org/10.3390/rs13224576","title":"A New Lightweight Convolutional Neural Network for Multi-Scale Land Surface Water Extraction from GaoFen-1D Satellite Images","display_name":"A New Lightweight Convolutional Neural Network for Multi-Scale Land Surface Water Extraction from GaoFen-1D Satellite Images","publication_year":2021,"publication_date":"2021-11-14","ids":{"openalex":"https://openalex.org/W3212011366","doi":"https://doi.org/10.3390/rs13224576","mag":"3212011366"},"language":"en","primary_location":{"id":"doi:10.3390/rs13224576","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13224576","pdf_url":"https://www.mdpi.com/2072-4292/13/22/4576/pdf?version=1637057923","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/2072-4292/13/22/4576/pdf?version=1637057923","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010221369","display_name":"Yueming Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueming Duan","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360030","display_name":"Wenyi Zhang","orcid":"https://orcid.org/0000-0003-4227-0749"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyi Zhang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029702480","display_name":"Peng Huang","orcid":"https://orcid.org/0009-0003-4102-6506"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Huang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048350041","display_name":"Guojin He","orcid":"https://orcid.org/0000-0001-7225-7276"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojin He","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","Key Laboratory of Earth Observation of Hainan Province, Hainan Research Institute, Aerospace Information Research Institute, Chinese Academy of Sciences, Sanya 572029, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Earth Observation of Hainan Province, Hainan Research Institute, Aerospace Information Research Institute, Chinese Academy of Sciences, Sanya 572029, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075414103","display_name":"Hongxiang Guo","orcid":"https://orcid.org/0000-0002-7009-6699"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxiang Guo","raw_affiliation_strings":["Faculty of Geographical Science, Beijing Normal University, Beijing 100091, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geographical Science, Beijing Normal University, Beijing 100091, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5029702480"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.2988,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.87951715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"13","issue":"22","first_page":"4576","last_page":"4576"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/computer-science","display_name":"Computer science","score":0.6992505788803101},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6709043979644775},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5886889100074768},{"id":"https://openalex.org/keywords/water-extraction","display_name":"Water extraction","score":0.5536137223243713},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5184211730957031},{"id":"https://openalex.org/keywords/surface-water","display_name":"Surface water","score":0.48505038022994995},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.46382156014442444},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.45856818556785583},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.44041991233825684},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.362901508808136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34640568494796753},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.16340017318725586},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11936944723129272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992505788803101},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6709043979644775},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5886889100074768},{"id":"https://openalex.org/C2778395939","wikidata":"https://www.wikidata.org/wiki/Q2160967","display_name":"Water extraction","level":3,"score":0.5536137223243713},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5184211730957031},{"id":"https://openalex.org/C8625798","wikidata":"https://www.wikidata.org/wiki/Q752112","display_name":"Surface water","level":2,"score":0.48505038022994995},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.46382156014442444},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.45856818556785583},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.44041991233825684},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.362901508808136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34640568494796753},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.16340017318725586},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11936944723129272},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13224576","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13224576","pdf_url":"https://www.mdpi.com/2072-4292/13/22/4576/pdf?version=1637057923","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:6dedcaa001304bcf8375df7dc5d19a6c","is_oa":true,"landing_page_url":"https://doaj.org/article/6dedcaa001304bcf8375df7dc5d19a6c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 13, Iss 22, p 4576 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/22/4576/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13224576","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 13; Issue 22; Pages: 4576","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13224576","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13224576","pdf_url":"https://www.mdpi.com/2072-4292/13/22/4576/pdf?version=1637057923","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":[{"score":0.47999998927116394,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"},{"score":0.4000000059604645,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G5538849239","display_name":null,"funder_award_id":"61731022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3212011366.pdf","grobid_xml":"https://content.openalex.org/works/W3212011366.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1563088657","https://openalex.org/W1833055406","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1912954554","https://openalex.org/W1964656088","https://openalex.org/W1995581599","https://openalex.org/W2021047089","https://openalex.org/W2035549557","https://openalex.org/W2038188901","https://openalex.org/W2046363020","https://openalex.org/W2077509829","https://openalex.org/W2104427433","https://openalex.org/W2112796928","https://openalex.org/W2155750683","https://openalex.org/W2163596425","https://openalex.org/W2322566138","https://openalex.org/W2329579226","https://openalex.org/W2364444799","https://openalex.org/W2364962227","https://openalex.org/W2381966470","https://openalex.org/W2386308034","https://openalex.org/W2412782625","https://openalex.org/W2461467590","https://openalex.org/W2560023338","https://openalex.org/W2734408173","https://openalex.org/W2749751926","https://openalex.org/W2803946774","https://openalex.org/W2903468154","https://openalex.org/W2912386632","https://openalex.org/W2919115771","https://openalex.org/W2963604034","https://openalex.org/W2963794428","https://openalex.org/W2981854972","https://openalex.org/W2999698945","https://openalex.org/W3013368467","https://openalex.org/W3115190122","https://openalex.org/W3182453352","https://openalex.org/W6707595266","https://openalex.org/W6798046130"],"related_works":["https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W2318112981","https://openalex.org/W2386929875"],"abstract_inverted_index":{"Mapping":[0],"land":[1,31,44,64,87,136,149,232],"surface":[2,32,45,65,88,137,150,233],"water":[3,33,46,66,89,112,138,151,210,234],"automatically":[4],"and":[5,15,34,111,122,127,146,163,196,212,219,223,271],"accurately":[6],"is":[7],"closely":[8],"related":[9],"to":[10,84,134],"human":[11],"activity,":[12],"biological":[13],"reproduction,":[14],"the":[16,40,86,103,109,148,168,182,193,238,245,253,266],"ecological":[17],"environment.":[18],"High":[19],"spatial":[20,160,220],"resolution":[21],"remote":[22],"sensing":[23],"image":[24],"(HSRRSI)":[25],"data":[26,37,95],"provide":[27],"extensive":[28],"details":[29],"for":[30,39,155],"gives":[35],"reliable":[36],"support":[38],"accurate":[41],"extraction":[42,61,113,235],"of":[43,96,105,140,153,171,209,231,240,244,255],"information.":[47,67],"The":[48,173,229],"convolutional":[49],"neural":[50],"network":[51],"(CNN),":[52],"widely":[53],"applied":[54],"in":[55,63,205,274],"semantic":[56],"segmentation,":[57],"provides":[58],"an":[59],"automatic":[60],"method":[62],"This":[68],"paper":[69],"proposes":[70],"a":[71,143,188,202,259],"new":[72],"lightweight":[73,189],"CNN":[74],"named":[75],"Lightweight":[76],"Multi-Scale":[77],"Land":[78],"Surface":[79],"Water":[80],"Extraction":[81],"Network":[82],"(LMSWENet)":[83],"extract":[85,135],"information":[90,139],"based":[91],"on":[92,142,258],"GaoFen-1D":[93],"satellite":[94],"Wuhan,":[97],"Hubei":[98],"Province,":[99],"China.":[100],"To":[101],"verify":[102],"superiority":[104],"LMSWENet,":[106],"we":[107,131],"compared":[108],"efficiency":[110],"accuracy":[114,170],"with":[115,158,181,276],"four":[116,184,247],"mainstream":[117],"CNNs":[118],"(DeeplabV3+,":[119],"FCN,":[120],"PSPNet,":[121],"UNet)":[123],"using":[124],"quantitative":[125],"comparison":[126],"visual":[128],"comparison.":[129],"Furthermore,":[130],"used":[132],"LMSWENet":[133,186,200,241,250],"Wuhan":[141,154,275],"large":[144,260],"scale":[145],"produced":[147],"map":[152],"2020":[156],"(LSWMWH-2020)":[157],"2m":[159],"resolution.":[161],"Random":[162],"equidistant":[164],"validation":[165],"points":[166],"verified":[167],"mapping":[169,257,278],"LSWMWH-2020.":[172],"results":[174],"are":[175],"summarized":[176],"as":[177],"follows:":[178],"(1)":[179],"Compared":[180],"other":[183,246],"CNNs,":[185],"has":[187,201],"structure,":[190],"significantly":[191],"reducing":[192],"algorithm":[194],"complexity":[195],"training":[197],"time.":[198],"(2)":[199],"good":[203],"performance":[204,239],"extracting":[206],"various":[207],"types":[208],"bodies":[211],"suppressing":[213],"noises":[214],"because":[215],"it":[216],"introduces":[217],"channel":[218],"attention":[221],"mechanisms":[222],"combines":[224],"features":[225],"from":[226],"multiple":[227],"scales.":[228],"result":[230],"demonstrates":[236],"that":[237,243],"exceeds":[242],"CNNs.":[248],"(3)":[249],"can":[251,263],"meet":[252],"requirement":[254],"high-precision":[256],"scale.":[261],"LSWMWH-2020":[262],"clearly":[264],"show":[265],"significant":[267],"lakes,":[268],"river":[269],"networks,":[270],"small":[272],"ponds":[273],"high":[277],"accuracy.":[279]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
