{"id":"https://openalex.org/W4281643045","doi":"https://doi.org/10.3390/rs14112628","title":"PlanetScope, Sentinel-2, and Sentinel-1 Data Integration for Object-Based Land Cover Classification in Google Earth Engine","display_name":"PlanetScope, Sentinel-2, and Sentinel-1 Data Integration for Object-Based Land Cover Classification in Google Earth Engine","publication_year":2022,"publication_date":"2022-05-31","ids":{"openalex":"https://openalex.org/W4281643045","doi":"https://doi.org/10.3390/rs14112628"},"language":"en","primary_location":{"id":"doi:10.3390/rs14112628","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14112628","pdf_url":"https://www.mdpi.com/2072-4292/14/11/2628/pdf?version=1654162287","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/2072-4292/14/11/2628/pdf?version=1654162287","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049575974","display_name":"Marco Vizzari","orcid":null},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Marco Vizzari","raw_affiliation_strings":["Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121 Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121 Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049575974"],"corresponding_institution_ids":["https://openalex.org/I27483092"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":13.5819,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.99268889,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"14","issue":"11","first_page":"2628","last_page":"2628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9988999962806702,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9987000226974487,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9977999925613403,"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/land-cover","display_name":"Land cover","score":0.6226827502250671},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5501009225845337},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.48506084084510803},{"id":"https://openalex.org/keywords/gee","display_name":"Gee","score":0.43593132495880127},{"id":"https://openalex.org/keywords/earth-observation","display_name":"Earth observation","score":0.43273022770881653},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4083157181739807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3799457550048828},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2977893352508545},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.28991010785102844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25836181640625},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07672399282455444}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6226827502250671},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5501009225845337},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.48506084084510803},{"id":"https://openalex.org/C53084192","wikidata":"https://www.wikidata.org/wiki/Q1485121","display_name":"Gee","level":3,"score":0.43593132495880127},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.43273022770881653},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4083157181739807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3799457550048828},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2977893352508545},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.28991010785102844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25836181640625},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07672399282455444},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C27403532","wikidata":"https://www.wikidata.org/wiki/Q5532474","display_name":"Generalized estimating equation","level":2,"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":3,"locations":[{"id":"doi:10.3390/rs14112628","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14112628","pdf_url":"https://www.mdpi.com/2072-4292/14/11/2628/pdf?version=1654162287","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:65269956def1423ab47e0cbb816fcace","is_oa":true,"landing_page_url":"https://doaj.org/article/65269956def1423ab47e0cbb816fcace","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 11, p 2628 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/11/2628/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14112628","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 14; Issue 11; Pages: 2628","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14112628","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14112628","pdf_url":"https://www.mdpi.com/2072-4292/14/11/2628/pdf?version=1654162287","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281643045.pdf","grobid_xml":"https://content.openalex.org/works/W4281643045.grobid-xml"},"referenced_works_count":85,"referenced_works":["https://openalex.org/W56001729","https://openalex.org/W172260869","https://openalex.org/W1526791177","https://openalex.org/W1981522322","https://openalex.org/W1982030027","https://openalex.org/W1984792953","https://openalex.org/W1990653740","https://openalex.org/W1997005542","https://openalex.org/W2000613913","https://openalex.org/W2011500029","https://openalex.org/W2019452249","https://openalex.org/W2026393993","https://openalex.org/W2029058476","https://openalex.org/W2063907334","https://openalex.org/W2100335098","https://openalex.org/W2104125540","https://openalex.org/W2115145978","https://openalex.org/W2116772412","https://openalex.org/W2120191719","https://openalex.org/W2121072020","https://openalex.org/W2124706543","https://openalex.org/W2132424470","https://openalex.org/W2138973222","https://openalex.org/W2143682935","https://openalex.org/W2152575904","https://openalex.org/W2155955188","https://openalex.org/W2157319049","https://openalex.org/W2157494358","https://openalex.org/W2163989191","https://openalex.org/W2168481151","https://openalex.org/W2243003515","https://openalex.org/W2303808402","https://openalex.org/W2332473824","https://openalex.org/W2533002500","https://openalex.org/W2546757210","https://openalex.org/W2546993872","https://openalex.org/W2567326027","https://openalex.org/W2585014453","https://openalex.org/W2591129009","https://openalex.org/W2612271937","https://openalex.org/W2623913549","https://openalex.org/W2688079092","https://openalex.org/W2725897987","https://openalex.org/W2774152043","https://openalex.org/W2776146695","https://openalex.org/W2793288240","https://openalex.org/W2897083303","https://openalex.org/W2900769818","https://openalex.org/W2911964244","https://openalex.org/W2913065079","https://openalex.org/W2920089766","https://openalex.org/W2926566579","https://openalex.org/W2972170785","https://openalex.org/W2985175000","https://openalex.org/W2996948100","https://openalex.org/W2999585470","https://openalex.org/W3035585878","https://openalex.org/W3045585619","https://openalex.org/W3045755298","https://openalex.org/W3082766779","https://openalex.org/W3093676244","https://openalex.org/W3106378566","https://openalex.org/W3119910006","https://openalex.org/W3120241342","https://openalex.org/W3127060672","https://openalex.org/W3127729533","https://openalex.org/W3130550871","https://openalex.org/W3140291071","https://openalex.org/W3160732124","https://openalex.org/W3167864888","https://openalex.org/W3207200417","https://openalex.org/W3210652379","https://openalex.org/W3212177475","https://openalex.org/W4200221593","https://openalex.org/W4200531819","https://openalex.org/W4205617034","https://openalex.org/W4206081687","https://openalex.org/W4300945265","https://openalex.org/W4302190632","https://openalex.org/W6602328367","https://openalex.org/W6636950212","https://openalex.org/W6682921881","https://openalex.org/W6684097702","https://openalex.org/W6697973350","https://openalex.org/W6723566453"],"related_works":["https://openalex.org/W2013329914","https://openalex.org/W2392383081","https://openalex.org/W1618102658","https://openalex.org/W1537861260","https://openalex.org/W1904448789","https://openalex.org/W2357875252","https://openalex.org/W126533163","https://openalex.org/W2507965015","https://openalex.org/W4380629442","https://openalex.org/W1994815372"],"abstract_inverted_index":{"PlanetScope":[0],"(PL)":[1],"high-resolution":[2,58,254],"composite":[3],"base":[4],"maps":[5],"have":[6],"recently":[7],"become":[8],"available":[9],"within":[10,153],"Google":[11,24],"Earth":[12],"Engine":[13],"(GEE)":[14],"for":[15,67,201,269],"the":[16,21,26,39,47,65,83,118,124,154,179,189,202,216,241,261,272],"tropical":[17,155],"regions":[18],"thanks":[19],"to":[20,46,55,63,131,265],"partnership":[22],"between":[23],"and":[25,30,57,80,89,113,136,146,164,218,224,232,252],"Norway\u2019s":[27],"International":[28],"Climate":[29],"Forest":[31,120],"Initiative":[32],"(NICFI).":[33],"Object-based":[34],"(OB)":[35],"image":[36],"classification":[37,70,110],"in":[38,94,103,148,245,248,277],"GEE":[40],"environment":[41],"has":[42],"increased":[43],"rapidly":[44],"due":[45],"broadly":[48],"recognized":[49],"advantages":[50,66],"of":[51,71,134,161,170,212,274],"applying":[52],"these":[53],"approaches":[54,111],"medium-":[56],"images.":[59],"This":[60],"work":[61],"aimed":[62],"assess":[64],"land":[68],"cover":[69],"(a)":[72],"adopting":[73,197],"an":[74,198],"OB":[75,98,199,225,242],"approach":[76,187,200],"with":[77,86,182,215],"PL":[78,84,180,213,275],"data;":[79],"(b)":[81],"integrating":[82],"datasets":[85,127,220],"Sentinel":[87,90],"2":[88],"1":[91],"data":[92,214,276],"both":[93,222],"Pixel-based":[95],"(PB)":[96],"or":[97],"approaches.":[99],"For":[100],"this":[101,104,238],"purpose,":[102],"research,":[105],"we":[106],"compared":[107],"ten":[108],"LULC":[109],"(PB":[112],"OB,":[114],"all":[115],"based":[116],"on":[117],"Random":[119],"(RF)":[121],"algorithm),":[122],"where":[123],"three":[125],"satellite":[126],"were":[128],"used":[129],"according":[130],"different":[132],"levels":[133],"integration":[135,211],"combination.":[137],"The":[138,210],"study":[139,250],"area,":[140],"which":[141],"is":[142],"69,272":[143],"km2":[144],"wide":[145],"located":[147],"central":[149],"Brazil,":[150],"was":[151],"selected":[152],"region,":[156],"considering":[157],"a":[158,183],"preliminary":[159],"availability":[160],"sample":[162],"points":[163],"its":[165],"complex":[166],"landscape":[167],"mosaic":[168],"composed":[169],"heterogeneous":[171],"agri-natural":[172],"spaces,":[173],"including":[174],"scattered":[175],"settlements.":[176],"Using":[177],"only":[178],"dataset":[181,204],"typical":[184],"RF":[185],"PB":[186,223],"produced":[188],"worse":[190],"overall":[191,226],"accuracy":[192,227],"(OA)":[193],"results":[194],"(67%),":[195],"whereas":[196],"same":[203],"yielded":[205],"very":[206,267],"good":[207],"OA":[208],"(82%).":[209],"S2":[217],"S1":[219],"improved":[221],"outputs":[228],"(82":[229],"vs.":[230,234],"67%":[231],"91":[233],"82%,":[235],"respectively).":[236],"Moreover,":[237],"research":[239],"demonstrated":[240],"approaches\u2019":[243],"applicability":[244],"GEE,":[246],"even":[247],"vast":[249],"areas":[251],"using":[253],"imagery.":[255],"Although":[256],"additional":[257],"applications":[258],"are":[259],"necessary,":[260],"proposed":[262],"methodology":[263],"appears":[264],"be":[266],"promising":[268],"properly":[270],"exploiting":[271],"potential":[273],"GEE.":[278]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":7}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}
