{"id":"https://openalex.org/W2913260846","doi":"https://doi.org/10.3390/rs11030213","title":"Comparison of Two Synergy Approaches for Hybrid Cropland Mapping","display_name":"Comparison of Two Synergy Approaches for Hybrid Cropland Mapping","publication_year":2019,"publication_date":"2019-01-22","ids":{"openalex":"https://openalex.org/W2913260846","doi":"https://doi.org/10.3390/rs11030213","mag":"2913260846"},"language":"en","primary_location":{"id":"doi:10.3390/rs11030213","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11030213","pdf_url":"https://www.mdpi.com/2072-4292/11/3/213/pdf?version=1548149923","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/2072-4292/11/3/213/pdf?version=1548149923","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100368475","display_name":"Di Chen","orcid":"https://orcid.org/0009-0004-1791-2302"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Di Chen","raw_affiliation_strings":["Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH 03824, USA","Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH 03824, USA","institution_ids":["https://openalex.org/I161057412"]},{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/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/A5100348920","display_name":"Miao Lu","orcid":"https://orcid.org/0000-0003-3795-0811"},"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":"Miao Lu","raw_affiliation_strings":["Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/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/A5103668758","display_name":"Qingbo Zhou","orcid":null},"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":"Qingbo Zhou","raw_affiliation_strings":["Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/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/A5045276244","display_name":"Jingfeng Xiao","orcid":"https://orcid.org/0000-0002-0622-6903"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingfeng Xiao","raw_affiliation_strings":["Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH 03824, USA"],"raw_orcid":"https://orcid.org/0000-0002-0622-6903","affiliations":[{"raw_affiliation_string":"Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH 03824, USA","institution_ids":["https://openalex.org/I161057412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004689183","display_name":"Yating Ru","orcid":null},"institutions":[{"id":"https://openalex.org/I150314799","display_name":"International Food Policy Research Institute","ror":"https://ror.org/03pxz9p87","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1286583668","https://openalex.org/I150314799"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yating Ru","raw_affiliation_strings":["International Food Policy Research Institute (IFPRI), Washington, DC 20005, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Food Policy Research Institute (IFPRI), Washington, DC 20005, USA","institution_ids":["https://openalex.org/I150314799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080871383","display_name":"Yanbing Wei","orcid":"https://orcid.org/0000-0002-5802-5361"},"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":"Yanbing Wei","raw_affiliation_strings":["Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/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/A5102378365","display_name":"Wenbin Wu","orcid":"https://orcid.org/0000-0002-7140-4411"},"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":"Wenbin Wu","raw_affiliation_strings":["Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/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"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100348920","https://openalex.org/A5102378365"],"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":0.9201,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74170289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"11","issue":"3","first_page":"213","last_page":"213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9988999962806702,"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":0.9988999962806702,"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/T13058","display_name":"Soil and Land Suitability Analysis","score":0.9976999759674072,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.7204790711402893},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.6013816595077515},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.47634437680244446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4503090977668762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1609874963760376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08981785178184509}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7204790711402893},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.6013816595077515},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.47634437680244446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4503090977668762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1609874963760376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08981785178184509},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/rs11030213","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11030213","pdf_url":"https://www.mdpi.com/2072-4292/11/3/213/pdf?version=1548149923","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:cdm15738.contentdm.oclc.org:p15738coll5/6573","is_oa":true,"landing_page_url":"http://cdm15738.contentdm.oclc.org/cdm/ref/collection/p15738coll5/id/6573","pdf_url":null,"source":{"id":"https://openalex.org/S4306400226","display_name":"IFPRI E-brary (International Food Policy Research Institute)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I150314799","host_organization_name":"International Food Policy Research Institute","host_organization_lineage":["https://openalex.org/I150314799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing 11(3): 213","raw_type":"Journal article"},{"id":"pmh:oai:doaj.org/article:0847e5411762486186ac1f9a7b03b1b5","is_oa":true,"landing_page_url":"https://doaj.org/article/0847e5411762486186ac1f9a7b03b1b5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 3, p 213 (2019)","raw_type":"article"},{"id":"pmh:oai:ebrary.ifpri.org:p15738coll5/6573","is_oa":true,"landing_page_url":"http://ebrary.ifpri.org/cdm/ref/collection/p15738coll5/id/6573","pdf_url":null,"source":{"id":"https://openalex.org/S4306400197","display_name":"International Food Policy Research Institute (International Food Policy Research Institute)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I150314799","host_organization_name":"International Food Policy Research Institute","host_organization_lineage":["https://openalex.org/I150314799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing 11(3): 213","raw_type":"Journal article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/3/213/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11030213","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/rs11030213","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11030213","pdf_url":"https://www.mdpi.com/2072-4292/11/3/213/pdf?version=1548149923","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/G2159819224","display_name":null,"funder_award_id":"41871356","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2687001282","display_name":null,"funder_award_id":"2017YFE0104600","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3305504238","display_name":null,"funder_award_id":"2017YFE0104600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7457179177","display_name":null,"funder_award_id":"41871356","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G756590866","display_name":null,"funder_award_id":"2017YFD0300201 and 2017YFE0104600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323155","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2913260846.pdf","grobid_xml":"https://content.openalex.org/works/W2913260846.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1786932643","https://openalex.org/W1885078460","https://openalex.org/W1971109292","https://openalex.org/W1984593755","https://openalex.org/W1993087627","https://openalex.org/W1998281138","https://openalex.org/W2001510610","https://openalex.org/W2001728294","https://openalex.org/W2006929658","https://openalex.org/W2013360540","https://openalex.org/W2023622187","https://openalex.org/W2042692910","https://openalex.org/W2043259636","https://openalex.org/W2050875933","https://openalex.org/W2055248879","https://openalex.org/W2056425951","https://openalex.org/W2059080117","https://openalex.org/W2060335617","https://openalex.org/W2072465375","https://openalex.org/W2077570405","https://openalex.org/W2078078455","https://openalex.org/W2104896032","https://openalex.org/W2114385036","https://openalex.org/W2118096631","https://openalex.org/W2123562234","https://openalex.org/W2126902408","https://openalex.org/W2133297572","https://openalex.org/W2138408852","https://openalex.org/W2148169128","https://openalex.org/W2148333466","https://openalex.org/W2159773298","https://openalex.org/W2235201318","https://openalex.org/W2296331288","https://openalex.org/W2310553581","https://openalex.org/W2388705664","https://openalex.org/W2492296866","https://openalex.org/W2592712793","https://openalex.org/W2734356172","https://openalex.org/W2750043080","https://openalex.org/W2762411731","https://openalex.org/W2768686265","https://openalex.org/W2792627470","https://openalex.org/W2793071393","https://openalex.org/W2893412230","https://openalex.org/W6648496217","https://openalex.org/W6669696595","https://openalex.org/W6744992906","https://openalex.org/W6745760187","https://openalex.org/W6986684424","https://openalex.org/W7027479907"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"Cropland":[0],"maps":[1,24,43,112,179,211],"at":[2],"regional":[3,60,314],"or":[4],"global":[5],"scales":[6],"typically":[7],"have":[8,36,54],"large":[9],"uncertainty":[10,20],"and":[11,30,59,86,103,148,195,204,274,313,327,332],"are":[12,200],"also":[13],"inconsistent":[14],"with":[15,44,192,234,244,293,304],"each":[16],"other.":[17],"The":[18,118,175,247,286],"substantial":[19],"in":[21,28],"these":[22,63,115],"cropland":[23,42,49,80,129,217,251,273,284,305,337],"limits":[25],"their":[26],"use":[27,278],"research":[29],"management":[31],"efforts.":[32,339],"Many":[33],"synergy":[34,77,111,261,322,336],"approaches":[35],"been":[37],"developed":[38],"to":[39,73,165,257],"generate":[40],"hybrid":[41],"higher":[45,291],"accuracy":[46,108],"from":[47,253],"existing":[48],"maps.":[50],"However,":[51],"few":[52],"studies":[53],"compared":[55],"the":[56,95,107,110,128,132,136,143,149,158,166,172,198,205,208,214,223,254,259,264,269,280,294,310,317],"advantages,":[57,311],"disadvantages,":[58,312],"suitability":[61,315],"of":[62,79,99,109,131,145,168,177,207,216,272,279,283,316,321],"approaches.":[64],"To":[65],"close":[66],"this":[67,70],"knowledge":[68],"gap,":[69],"study":[71,308],"aims":[72],"compare":[74],"two":[75,116,318],"representative":[76],"methods":[78,323,326],"mapping:":[81],"Geographically":[82],"weighted":[83],"regression":[84,123],"(GWR)":[85],"modified":[87],"fuzzy":[88],"agreement":[89],"scoring":[90,330],"(MFAS).":[91],"We":[92],"assessed":[93],"how":[94],"sample":[96],"size,":[97],"quality":[98,176],"input":[100,146,178,209],"satellite-based":[101,210],"maps,":[102,262],"various":[104],"landscapes":[105,194],"influence":[106],"based":[113],"on":[114,127,184,188],"methods.":[117],"GWR":[119,159,228,265,298],"model":[120,266,299],"is":[121,139,229,239],"a":[122,181,290,301],"analysis":[124,325],"predominantly":[125],"dependent":[126],"percentage":[130,218],"training":[133,150,169],"samples,":[134],"while":[135,237,263,297],"MFAS":[137,173,238,248,287],"method":[138,160,249,288],"largely":[140],"influenced":[141],"by":[142],"consistency":[144,206,329],"datasets,":[147],"samples":[151,170,219],"only":[152,267],"play":[153],"an":[154],"auxiliary":[155],"role.":[156],"Therefore,":[157,227],"was":[161,212],"relatively":[162],"more":[163,202,230,240],"sensitive":[164],"number":[167],"than":[171],"method.":[174],"had":[180],"significant":[182],"impact":[183],"both":[185],"methods,":[186],"particularly":[187],"MFAS.":[189],"In":[190],"regions":[191,233,243],"heterogeneous":[193,235],"high":[196],"elevations,":[197],"croplands":[199],"generally":[201],"fragmented,":[203],"lower;":[213],"application":[215],"could":[220],"compensate":[221],"for":[222,232,242],"low":[224],"dataset":[225],"consistency.":[226],"suitable":[231],"landscapes,":[236],"appropriate":[241],"homogeneous":[245],"landscapes.":[246],"uses":[250],"area":[252],"agricultural":[255],"statistics":[256],"calibrate":[258],"initial":[260],"considers":[268],"spatial":[270],"distribution":[271,281],"does":[275],"not":[276],"make":[277],"information":[282],"area.":[285],"showed":[289],"correlation":[292],"statistical":[295],"data,":[296],"exhibited":[300],"stronger":[302],"relationship":[303],"percentage.":[306],"Our":[307],"reveals":[309],"main":[319],"types":[320],"(regression":[324],"data":[328],"methods)":[331],"can":[333],"inform":[334],"future":[335],"mapping":[338]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
