{"id":"https://openalex.org/W2954298120","doi":"https://doi.org/10.3390/rs11111353","title":"New Workflow of Plastic-Mulched Farmland Mapping using Multi-Temporal Sentinel-2 data","display_name":"New Workflow of Plastic-Mulched Farmland Mapping using Multi-Temporal Sentinel-2 data","publication_year":2019,"publication_date":"2019-06-05","ids":{"openalex":"https://openalex.org/W2954298120","doi":"https://doi.org/10.3390/rs11111353","mag":"2954298120"},"language":"en","primary_location":{"id":"doi:10.3390/rs11111353","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11111353","pdf_url":"https://www.mdpi.com/2072-4292/11/11/1353/pdf?version=1559722180","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/2072-4292/11/11/1353/pdf?version=1559722180","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015672094","display_name":"Pengyu Hao","orcid":"https://orcid.org/0000-0003-3711-6157"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyu Hao","raw_affiliation_strings":["Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China","Key Laboratory of Agricultural Remote Sensing, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008756","display_name":"Zhongxin Chen","orcid":"https://orcid.org/0009-0004-2148-9367"},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongxin Chen","raw_affiliation_strings":["Key Laboratory of Agricultural Remote Sensing, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074919470","display_name":"Huajun Tang","orcid":"https://orcid.org/0000-0002-0186-165X"},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajun Tang","raw_affiliation_strings":["Key Laboratory of Agricultural Remote Sensing, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439882","display_name":"Dandan Li","orcid":"https://orcid.org/0000-0002-2100-4145"},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Li","raw_affiliation_strings":["Key Laboratory of Agricultural Remote Sensing, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100317855","display_name":"He Li","orcid":"https://orcid.org/0000-0002-3360-4746"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Li","raw_affiliation_strings":["State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102008756"],"corresponding_institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.733,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.84325584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"11","issue":"11","first_page":"1353","last_page":"1353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998999834060669,"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":0.9998999834060669,"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":0.998199999332428,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9965999722480774,"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/environmental-science","display_name":"Environmental science","score":0.5326998233795166},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5308300852775574},{"id":"https://openalex.org/keywords/plastic-film","display_name":"Plastic film","score":0.4638151526451111},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.453592985868454},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4191247820854187},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.41529756784439087},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.41356366872787476},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.2039506733417511},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1477552354335785},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11628419160842896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10464203357696533}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5326998233795166},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5308300852775574},{"id":"https://openalex.org/C2777292513","wikidata":"https://www.wikidata.org/wiki/Q4370258","display_name":"Plastic film","level":3,"score":0.4638151526451111},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.453592985868454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4191247820854187},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.41529756784439087},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41356366872787476},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.2039506733417511},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1477552354335785},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11628419160842896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10464203357696533},{"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},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11111353","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11111353","pdf_url":"https://www.mdpi.com/2072-4292/11/11/1353/pdf?version=1559722180","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:0bde4f6f2e25489db36a4a39eec374a6","is_oa":true,"landing_page_url":"https://doaj.org/article/0bde4f6f2e25489db36a4a39eec374a6","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 11, Iss 11, p 1353 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/11/1353/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11111353","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/rs11111353","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11111353","pdf_url":"https://www.mdpi.com/2072-4292/11/11/1353/pdf?version=1559722180","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":0.44999998807907104,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1096594687","display_name":null,"funder_award_id":"41801359","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/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/G5994120800","display_name":null,"funder_award_id":"Natural","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2954298120.pdf","grobid_xml":"https://content.openalex.org/works/W2954298120.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1275917639","https://openalex.org/W1991361881","https://openalex.org/W1999857868","https://openalex.org/W2001510610","https://openalex.org/W2030165874","https://openalex.org/W2058499576","https://openalex.org/W2063907334","https://openalex.org/W2068094410","https://openalex.org/W2073492589","https://openalex.org/W2077509829","https://openalex.org/W2081699121","https://openalex.org/W2138973222","https://openalex.org/W2168481151","https://openalex.org/W2350847946","https://openalex.org/W2422834212","https://openalex.org/W2490203368","https://openalex.org/W2597159547","https://openalex.org/W2601221592","https://openalex.org/W2621223317","https://openalex.org/W2725897987","https://openalex.org/W2766727660","https://openalex.org/W2767953525","https://openalex.org/W2770197114","https://openalex.org/W2774350017","https://openalex.org/W2791260466","https://openalex.org/W2793927960","https://openalex.org/W2795000389","https://openalex.org/W2801853954","https://openalex.org/W2802951011","https://openalex.org/W2805461187","https://openalex.org/W2811165406","https://openalex.org/W2811220652","https://openalex.org/W2883043045","https://openalex.org/W2884556974","https://openalex.org/W2885424385","https://openalex.org/W2887118344","https://openalex.org/W2887587192","https://openalex.org/W2889420502","https://openalex.org/W2901392967","https://openalex.org/W2904960146","https://openalex.org/W2911964244","https://openalex.org/W2920176286","https://openalex.org/W4255375128","https://openalex.org/W4399585247","https://openalex.org/W6723358274"],"related_works":["https://openalex.org/W2363506088","https://openalex.org/W3135697610","https://openalex.org/W2382635113","https://openalex.org/W2085033728","https://openalex.org/W2378317742","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2088899772","https://openalex.org/W1537861260"],"abstract_inverted_index":{"Using":[0],"plastic":[1,16,43,183],"film":[2,17,184],"mulch":[3],"on":[4,18],"cropland":[5,19],"improves":[6],"crop":[7],"yield":[8],"in":[9,256,267,277,357,376],"water-deficient":[10],"areas,":[11],"but":[12],"the":[13,35,40,52,59,93,109,114,122,129,133,188,196,202,205,231,238,270,312,318,325,329,338,345,360,363,373],"use":[14,41],"of":[15,27,42,47,55,82,121,204,362],"leads":[20],"to":[21,70,107,127,176,220,316,335],"soil":[22],"pollution.":[23],"The":[24,45,281,294],"accurate":[25],"mapping":[26,49,276],"plastic-mulched":[28],"land":[29,181,307],"(PML)":[30],"is":[31,50,87,96,125,324,333,340,349],"valuable":[32],"for":[33,274,305,381],"monitoring":[34],"environmental":[36],"problems":[37],"caused":[38],"by":[39,195],"film.":[44],"drawback":[46],"PML":[48,56,81,135,140,146,150,178,191,207,224,227,259,275,297,309,321],"that":[51,284,351,372],"detectable":[53],"period":[54],"changes":[57],"among":[58],"fields,":[60],"which":[61,79,370],"causes":[62],"uncertainty":[63],"when":[64],"supervised":[65,242],"classification":[66,243,292],"methods":[67],"are":[68,104,174,193,218,235,254,262,272,379],"used":[69,126,219,255,273,315,356],"identify":[71],"PML.":[72],"In":[73],"this":[74,257,377],"study,":[75],"a":[76],"new":[77,149],"workflow":[78,286],"merging":[80],"multiple":[83],"temporal":[84,91],"phases":[85],"(MTPML)":[86],"proposed.":[88],"For":[89],"each":[90],"phase,":[92],"\u201cpossible":[94,110,134],"PML\u201d":[95,102,111],"firstly":[97],"generated,":[98],"these":[99],"\u201ctemporal":[100,144,189,222,319],"possible":[101,145,190,223,320],"layers":[103],"then":[105,138],"combined":[106],"generate":[108,139,221,317],"layer.":[112],"Finally,":[113,226],"maximum":[115],"normalized":[116],"difference":[117],"vegetation":[118],"index":[119],"(NDVI)":[120],"growing":[123],"season":[124],"remove":[128],"non-cropland":[130],"pixels":[131],"from":[132,179,230],"layer,\u201d":[136,322],"and":[137,167,187,214,251,269,302,308,337,359],"images.":[141],"When":[142],"generating":[143],"layers,\u201d":[147],"three":[148,206,295],"indices":[151,298],"(PMLI":[152],"with":[153,160,237,289],"near-infrared":[154],"bands":[155,163],"known":[156,164,171],"as":[157,165,172],"PMLI_NIR,":[158],"PMLI":[159,170,212],"shortwave":[161],"infrared":[162],"PMLI_SWIR,":[166],"Normalized":[168],"Difference":[169],"PMLI_ND)":[173],"proposed":[175,296,375],"separate":[177],"bare":[180,306],"at":[182],"cover":[185],"stage;":[186],"layer\u201d":[192],"identified":[194],"threshold":[197,213,331],"based":[198],"method.":[199],"To":[200],"estimate":[201],"performance":[203],"indices,":[208],"two":[209],"other":[210,382],"approaches,":[211],"Random":[215],"Forest":[216],"(RF)":[217],"layer.\u201d":[225],"images":[228],"generated":[229,263],"five":[232,313],"MTPML":[233,285,364],"approaches":[234,314],"compared":[236],"image":[239],"time":[240],"series":[241],"(SUPML)":[244],"result.":[245],"Two":[246],"study":[247,279,378,383],"regions,":[248],"Hengshui":[249],"(HS)":[250],"Guyuan":[252],"(GY),":[253],"study.":[258],"identification":[260],"models":[261,271],"using":[264],"training":[265,353],"samples":[266],"HS":[268],"both":[278],"regions.":[280,384],"results":[282],"showed":[283],"outperformed":[287],"SUPML":[288],"3%\u20135%":[290],"higher":[291,300,367],"accuracy.":[293],"had":[299],"separability":[301],"importance":[303],"score":[304],"discrimination.":[310],"Among":[311],"PMLI_SWIR":[323,330],"recommended":[326],"approach":[327,332,365],"because":[328],"easy":[334],"implement":[336],"accuracy":[339,361],"only":[341],"slightly":[342],"lower":[343],"than":[344,368],"RF":[346],"approach.":[347],"It":[348],"notable":[350],"no":[352],"sample":[354],"was":[355,366],"GY":[358],"85%,":[369],"indicated":[371],"rules":[374],"suitable":[380]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}