{"id":"https://openalex.org/W3132264409","doi":"https://doi.org/10.3390/rs13040787","title":"Machine Learning Comparison and Parameter Setting Methods for the Detection of Dump Sites for Construction and Demolition Waste Using the Google Earth Engine","display_name":"Machine Learning Comparison and Parameter Setting Methods for the Detection of Dump Sites for Construction and Demolition Waste Using the Google Earth Engine","publication_year":2021,"publication_date":"2021-02-21","ids":{"openalex":"https://openalex.org/W3132264409","doi":"https://doi.org/10.3390/rs13040787","mag":"3132264409"},"language":"en","primary_location":{"id":"doi:10.3390/rs13040787","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13040787","pdf_url":"https://www.mdpi.com/2072-4292/13/4/787/pdf?version=1614221089","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/2072-4292/13/4/787/pdf?version=1614221089","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048441699","display_name":"Lei Zhou","orcid":"https://orcid.org/0000-0002-5473-8495"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhou","raw_affiliation_strings":["School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China"],"affiliations":[{"raw_affiliation_string":"School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101814302","display_name":"Ting Luo","orcid":"https://orcid.org/0000-0002-2322-1477"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ting Luo","raw_affiliation_strings":["School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China"],"affiliations":[{"raw_affiliation_string":"School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110136256","display_name":"Mingyi Du","orcid":null},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyi Du","raw_affiliation_strings":["School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China"],"affiliations":[{"raw_affiliation_string":"School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102932191","display_name":"Qiang Chen","orcid":"https://orcid.org/0000-0002-5720-2338"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Chen","raw_affiliation_strings":["School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China"],"affiliations":[{"raw_affiliation_string":"School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355886","display_name":"Yang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China"],"affiliations":[{"raw_affiliation_string":"School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057161612","display_name":"Yinuo Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinuo Zhu","raw_affiliation_strings":["School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China"],"affiliations":[{"raw_affiliation_string":"School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101013633","display_name":"Congcong He","orcid":null},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congcong He","raw_affiliation_strings":["School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China"],"affiliations":[{"raw_affiliation_string":"School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358910","display_name":"Siyu Wang","orcid":"https://orcid.org/0000-0002-1242-3479"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Wang","raw_affiliation_strings":["School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China"],"affiliations":[{"raw_affiliation_string":"School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103169570","display_name":"Kun Yang","orcid":"https://orcid.org/0000-0002-3802-2091"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Yang","raw_affiliation_strings":["School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China"],"affiliations":[{"raw_affiliation_string":"School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China","institution_ids":["https://openalex.org/I62853816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5101814302"],"corresponding_institution_ids":["https://openalex.org/I62853816"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.1591,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.92162916,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"13","issue":"4","first_page":"787","last_page":"787"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9957000017166138,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9957000017166138,"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"}},{"id":"https://openalex.org/T13058","display_name":"Soil and Land Suitability Analysis","score":0.9749000072479248,"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/T11108","display_name":"Municipal Solid Waste Management","score":0.9724000096321106,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing 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/support-vector-machine","display_name":"Support vector machine","score":0.7548131942749023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6813328266143799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6399848461151123},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6149137616157532},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5970202088356018},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46871867775917053},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42517536878585815},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34432458877563477}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7548131942749023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6813328266143799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6399848461151123},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6149137616157532},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5970202088356018},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46871867775917053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42517536878585815},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34432458877563477},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13040787","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13040787","pdf_url":"https://www.mdpi.com/2072-4292/13/4/787/pdf?version=1614221089","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:8580a611218f493d8559336a42dbe9b8","is_oa":true,"landing_page_url":"https://doaj.org/article/8580a611218f493d8559336a42dbe9b8","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 4, p 787 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/4/787/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13040787","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13040787","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13040787","pdf_url":"https://www.mdpi.com/2072-4292/13/4/787/pdf?version=1614221089","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":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2636946874","display_name":null,"funder_award_id":"42077439","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G281641543","display_name":null,"funder_award_id":"C2018030","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3162017210","display_name":null,"funder_award_id":"201803","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4811743277","display_name":null,"funder_award_id":"2018YFC","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G497453654","display_name":null,"funder_award_id":"41930650","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5936781848","display_name":null,"funder_award_id":"42077439, 41930650","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6310301352","display_name":null,"funder_award_id":"2018YFC0706003","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6497952135","display_name":null,"funder_award_id":"UDC2018030611","funder_id":"https://openalex.org/F4320336561","funder_display_name":"Beijing Advanced Innovation Center for Future Urban Design"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336561","display_name":"Beijing Advanced Innovation Center for Future Urban Design","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3132264409.pdf","grobid_xml":"https://content.openalex.org/works/W3132264409.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W2069241906","https://openalex.org/W2132424470","https://openalex.org/W2157007405","https://openalex.org/W2364563119","https://openalex.org/W2382239057","https://openalex.org/W2383532577","https://openalex.org/W2467197472","https://openalex.org/W2490264735","https://openalex.org/W2725897987","https://openalex.org/W2765640623","https://openalex.org/W2793784411","https://openalex.org/W2793927960","https://openalex.org/W2802857501","https://openalex.org/W2802954847","https://openalex.org/W2804415560","https://openalex.org/W2901392967","https://openalex.org/W2912118475","https://openalex.org/W2941691996","https://openalex.org/W2987982347","https://openalex.org/W2989767070","https://openalex.org/W2997417103","https://openalex.org/W2999452933","https://openalex.org/W3005119099","https://openalex.org/W3005790354","https://openalex.org/W3011327143","https://openalex.org/W3012695246","https://openalex.org/W3015908983","https://openalex.org/W3026073844","https://openalex.org/W3036720762","https://openalex.org/W3038606102","https://openalex.org/W3040952795","https://openalex.org/W3042413204","https://openalex.org/W3044885581","https://openalex.org/W3047535546","https://openalex.org/W3087331925","https://openalex.org/W3091635304","https://openalex.org/W3144755369","https://openalex.org/W4385215372","https://openalex.org/W6702148881","https://openalex.org/W6772057277","https://openalex.org/W6773592422","https://openalex.org/W6775864627"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052"],"abstract_inverted_index":{"Machine":[0,46],"learning":[1,40,47,139,263],"has":[2],"been":[3],"successfully":[4],"used":[5,128],"for":[6,35,68,79,217,265,277],"object":[7],"recognition":[8,210],"within":[9],"images.":[10,163],"Due":[11],"to":[12,29,156,187],"the":[13,16,65,80,88,102,120,130,158,167,172,176,181,189,208,226,250,260],"complexity":[14],"of":[15,20,51,73,83,90,97,105,136,180,192,196,212,252,270,283],"spectrum":[17],"and":[18,22,41,56,110,125,142,149,171,205,215,222,247,272,280],"texture":[19],"construction":[21],"demolition":[23],"waste":[24],"(C&amp;DW),":[25],"it":[26],"is":[27,75,93],"difficult":[28],"construct":[30],"an":[31,76],"automatic":[32,69,266],"identification":[33,60,72,195,242,269],"method":[34,67,191,243,264],"C&amp;DW":[36,74,98,159,197,218,241,271],"based":[37,118,198],"on":[38,62,119,199],"machine":[39,138,152,200,262],"remote":[42,70,161,193,267],"sensing":[43,71,162,194,268],"data":[44,131],"sources.":[45],"includes":[48],"many":[49],"types":[50],"algorithms;":[52],"however,":[53],"different":[54,59],"algorithms":[55,140],"parameters":[57],"have":[58],"effects":[61],"C&amp;DW.":[63,84,284],"Exploring":[64],"optimal":[66,177,190,227],"important":[77],"approach":[78],"intelligent":[81,278],"supervision":[82,279],"This":[85,257],"study":[86,258],"investigates":[87],"megacity":[89],"Beijing,":[91],"which":[92],"facing":[94],"high":[95],"risk":[96],"pollution.":[99],"To":[100],"improve":[101],"classification":[103,134,183],"accuracy":[104,203],"C&amp;DW,":[106],"buildings,":[107],"vegetation,":[108],"water,":[109],"crops":[111],"were":[112,154,219,245],"selected":[113,155],"as":[114,129],"comparative":[115],"training":[116],"samples":[117],"Google":[121],"Earth":[122],"Engine":[123],"(GEE),":[124],"Sentinel-2":[126],"was":[127,185,238,255],"source.":[132],"Three":[133],"methods":[135,184],"typical":[137],"(classification":[141],"regression":[143],"trees":[144,254],"(CART),":[145],"random":[146],"forest":[147],"(RF),":[148],"support":[150],"vector":[151],"(SVM))":[153],"classify":[157],"from":[160],"Using":[164],"empirical":[165],"methods,":[166],"experimental":[168],"trial":[169],"method,":[170,175],"grid":[173],"search":[174],"parameterization":[178,228],"scheme":[179,229],"three":[182],"studied":[186],"determine":[188],"learning.":[201],"Through":[202],"evaluation":[204],"ground":[206],"verification,":[207],"overall":[209],"accuracies":[211],"CART,":[213],"RF,":[214],"SVM":[216,248],"73.12%,":[220],"98.05%,":[221],"85.62%,":[223],"respectively,":[224],"under":[225],"determined":[230],"in":[231],"this":[232],"study.":[233],"Among":[234],"these":[235],"algorithms,":[236],"RF":[237],"a":[239,274],"better":[240],"than":[244],"CART":[246],"when":[249],"number":[251],"decision":[253],"50.":[256],"explores":[259],"robust":[261],"provides":[273],"scientific":[275],"basis":[276],"resource":[281],"utilization":[282]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}
