{"id":"https://openalex.org/W2901392967","doi":"https://doi.org/10.3390/rs10111820","title":"Object-Based Plastic-Mulched Landcover Extraction Using Integrated Sentinel-1 and Sentinel-2 Data","display_name":"Object-Based Plastic-Mulched Landcover Extraction Using Integrated Sentinel-1 and Sentinel-2 Data","publication_year":2018,"publication_date":"2018-11-16","ids":{"openalex":"https://openalex.org/W2901392967","doi":"https://doi.org/10.3390/rs10111820","mag":"2901392967"},"language":"en","primary_location":{"id":"doi:10.3390/rs10111820","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10111820","pdf_url":"https://www.mdpi.com/2072-4292/10/11/1820/pdf?version=1542864450","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/2072-4292/10/11/1820/pdf?version=1542864450","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057298375","display_name":"Lizhen Lu","orcid":"https://orcid.org/0000-0003-1701-3046"},"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":"Lizhen Lu","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou 310027, China"],"affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106627074","display_name":"Tao Yuan","orcid":"https://orcid.org/0000-0003-2832-4368"},"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":false,"raw_author_name":"Yuan Tao","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou 310027, China"],"affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012116347","display_name":"Liping Di","orcid":"https://orcid.org/0000-0002-3953-9965"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Liping Di","raw_affiliation_strings":["Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012116347","https://openalex.org/A5057298375"],"corresponding_institution_ids":["https://openalex.org/I162714631","https://openalex.org/I76130692"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":4.6836,"has_fulltext":true,"cited_by_count":80,"citation_normalized_percentile":{"value":0.95226797,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"10","issue":"11","first_page":"1820","last_page":"1820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9991000294685364,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9991000294685364,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7168638110160828},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6932340860366821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6234382390975952},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6011799573898315},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5972808003425598},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5266349911689758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5031315684318542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3849453628063202},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.25935035943984985},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09685826301574707}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7168638110160828},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6932340860366821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6234382390975952},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6011799573898315},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5972808003425598},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5266349911689758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5031315684318542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3849453628063202},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.25935035943984985},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09685826301574707},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs10111820","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10111820","pdf_url":"https://www.mdpi.com/2072-4292/10/11/1820/pdf?version=1542864450","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:bfe3681e867d43118403b979f84dcc29","is_oa":true,"landing_page_url":"https://doaj.org/article/bfe3681e867d43118403b979f84dcc29","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 10, Iss 11, p 1820 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/11/1820/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10111820","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 10; Issue 11; Pages: 1820","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs10111820","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10111820","pdf_url":"https://www.mdpi.com/2072-4292/10/11/1820/pdf?version=1542864450","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":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7300000190734863}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318240","display_name":"European Space Agency","ror":"https://ror.org/03wd9za21"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320328899","display_name":"China University of Geosciences","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2901392967.pdf","grobid_xml":"https://content.openalex.org/works/W2901392967.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1944944177","https://openalex.org/W1964262728","https://openalex.org/W1974366090","https://openalex.org/W1975415386","https://openalex.org/W1990653740","https://openalex.org/W1999857868","https://openalex.org/W2002568643","https://openalex.org/W2014158985","https://openalex.org/W2025206659","https://openalex.org/W2028546171","https://openalex.org/W2044465660","https://openalex.org/W2061240006","https://openalex.org/W2069365977","https://openalex.org/W2073492589","https://openalex.org/W2075448113","https://openalex.org/W2084668217","https://openalex.org/W2093072860","https://openalex.org/W2095028777","https://openalex.org/W2130762895","https://openalex.org/W2132424470","https://openalex.org/W2138973222","https://openalex.org/W2142487694","https://openalex.org/W2162423745","https://openalex.org/W2280567249","https://openalex.org/W2285273467","https://openalex.org/W2325171775","https://openalex.org/W2335794719","https://openalex.org/W2353488210","https://openalex.org/W2422834212","https://openalex.org/W2467242444","https://openalex.org/W2490203368","https://openalex.org/W2523349064","https://openalex.org/W2569923831","https://openalex.org/W2597159547","https://openalex.org/W2621223317","https://openalex.org/W2737873132","https://openalex.org/W2745131289","https://openalex.org/W2774350017","https://openalex.org/W2789944120","https://openalex.org/W2899488071","https://openalex.org/W2911964244","https://openalex.org/W2981849677","https://openalex.org/W3006106690","https://openalex.org/W4239510810","https://openalex.org/W6636950212","https://openalex.org/W6723358274","https://openalex.org/W6811894721"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645","https://openalex.org/W2889302474","https://openalex.org/W1537861260"],"abstract_inverted_index":{"Plastic":[0],"mulching":[1],"on":[2,89],"farmland":[3],"has":[4,66,220,247],"been":[5,67,221,249],"increasing":[6],"worldwide":[7],"for":[8,15,27,73],"decades":[9],"due":[10,49],"to":[11,50,69,85,203,206,228],"its":[12,51],"superior":[13],"advantages":[14],"improving":[16],"crop":[17],"yields.":[18],"Monitoring":[19],"Plastic-Mulched":[20],"Land-cover":[21],"(PML)":[22],"can":[23],"provide":[24],"essential":[25],"information":[26,188,200,218],"making":[28],"agricultural":[29],"management":[30],"decisions":[31],"and":[32,47,53,80,98,120,125,130,137,147,155,164,186,192,211],"reducing":[33],"PML\u2019s":[34],"eco-environmental":[35],"impacts.":[36],"However,":[37],"mapping":[38,215],"PML":[39,136,207,214,245],"with":[40,173,195,209],"remote":[41],"sensing":[42],"data":[43,84,194,237],"is":[44,110,179,201],"still":[45],"challenging":[46],"problematic":[48],"complicated":[52],"mixed":[54],"characteristics.":[55],"In":[56],"this":[57,167],"study,":[58],"a":[59],"new":[60],"Object-Based":[61],"Image":[62],"Analysis":[63],"(OBIA)":[64],"approach":[65,227],"proposed":[68],"investigate":[70],"the":[71,90,104,113,151,156,196,225,241],"potential":[72],"combined":[74],"use":[75],"of":[76,94,115,177,232,243],"Sentinel-1":[77],"(S1)":[78],"SAR":[79,217,236],"Sentinel-2":[81],"(S2)":[82],"Multi-spectral":[83],"extract":[86],"PML.":[87],"Based":[88],"ESP2":[91],"tool":[92],"(Estimation":[93],"Scale":[95],"Parameter":[96],"2)":[97],"ED2":[99],"index":[100,123,185],"(Euclidean":[101],"Distance":[102],"2),":[103],"optimal":[105],"Multi-Resolution":[106],"Segmentation":[107],"(MRS)":[108],"result":[109,172],"chosen":[111],"as":[112,145],"basis":[114],"following":[116],"object-based":[117,226,244],"classification.":[118],"Spectral":[119],"backscattering":[121],"features,":[122],"features":[124,127],"texture":[126],"from":[128,189],"S1":[129,191],"S2":[131,193],"are":[132,161],"adopted":[133],"in":[134,166],"classifying":[135],"other":[138],"land-cover":[139],"types.":[140],"Three":[141],"machine-learning":[142],"classifiers":[143],"known":[144],"the\u2014Classification":[146],"Regression":[148],"Tree":[149],"(CART),":[150],"Random":[152],"Forest":[153],"(RF)":[154],"Support":[157],"Vector":[158],"Machine":[159],"(SVM)":[160],"carried":[162],"out":[163],"compared":[165],"study.":[168],"The":[169],"best":[170],"classification":[171],"an":[174,229],"overall":[175,230],"accuracy":[176,231,242],"94.34%":[178],"achieved":[180],"by":[181,224,251],"using":[182,216],"spectral,":[183],"backscattering,":[184],"textural":[187],"integrated":[190],"SVM":[197,210],"classifier.":[198],"Texture":[199],"demonstrated":[202],"contribute":[204],"positively":[205],"classifications":[208,246],"RF":[212],"classifiers.":[213],"alone":[219],"greatly":[222],"improved":[223,250],"87.72%.":[233],"By":[234],"adding":[235],"into":[238],"optical":[239],"data,":[240],"also":[248],"1\u20133%.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2018-11-29T00:00:00"}