{"id":"https://openalex.org/W3016345523","doi":"https://doi.org/10.3390/rs12081270","title":"An Optimized Object-Based Random Forest Algorithm for Marsh Vegetation Mapping Using High-Spatial-Resolution GF-1 and ZY-3 Data","display_name":"An Optimized Object-Based Random Forest Algorithm for Marsh Vegetation Mapping Using High-Spatial-Resolution GF-1 and ZY-3 Data","publication_year":2020,"publication_date":"2020-04-17","ids":{"openalex":"https://openalex.org/W3016345523","doi":"https://doi.org/10.3390/rs12081270","mag":"3016345523"},"language":"en","primary_location":{"id":"doi:10.3390/rs12081270","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12081270","pdf_url":"https://www.mdpi.com/2072-4292/12/8/1270/pdf?version=1587119729","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/2072-4292/12/8/1270/pdf?version=1587119729","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029850413","display_name":"Peiqing Lou","orcid":"https://orcid.org/0000-0001-5463-2909"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiqing Lou","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jiangan Street, Guilin 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jiangan Street, Guilin 541004, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053344101","display_name":"Bolin Fu","orcid":"https://orcid.org/0000-0002-3469-1861"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bolin Fu","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jiangan Street, Guilin 541004, China"],"raw_orcid":"https://orcid.org/0000-0002-3469-1861","affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jiangan Street, Guilin 541004, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059723326","display_name":"Hongchang He","orcid":null},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongchang He","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jiangan Street, Guilin 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jiangan Street, Guilin 541004, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101801472","display_name":"Ying Li","orcid":"https://orcid.org/0009-0006-1315-6559"},"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/I4210101301","display_name":"Northeast Institute of Geography and Agroecology","ror":"https://ror.org/01a9z1q73","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Li","raw_affiliation_strings":["Research Center of Remote Sensing and Geoscience, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, No.4888 Shengbei Street, Changchun 130102, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Remote Sensing and Geoscience, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, No.4888 Shengbei Street, Changchun 130102, China","institution_ids":["https://openalex.org/I4210101301","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112565985","display_name":"Tingyuan Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingyuan Tang","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jiangan Street, Guilin 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jiangan Street, Guilin 541004, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101867209","display_name":"Xingchen Lin","orcid":"https://orcid.org/0000-0002-2871-2398"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingchen Lin","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jiangan Street, Guilin 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jiangan Street, Guilin 541004, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103240935","display_name":"Donglin Fan","orcid":"https://orcid.org/0000-0002-2100-6634"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donglin Fan","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jiangan Street, Guilin 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jiangan Street, Guilin 541004, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023600709","display_name":"Ertao Gao","orcid":"https://orcid.org/0009-0001-1683-3643"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ertao Gao","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jiangan Street, Guilin 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, No.12 Jiangan Street, Guilin 541004, China","institution_ids":["https://openalex.org/I38706770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5053344101"],"corresponding_institution_ids":["https://openalex.org/I38706770"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":4.0197,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.93793066,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":"8","first_page":"1270","last_page":"1270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9970999956130981,"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":0.9970999956130981,"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":0.9932000041007996,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7173861265182495},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5654114484786987},{"id":"https://openalex.org/keywords/object-based","display_name":"Object based","score":0.5593481063842773},{"id":"https://openalex.org/keywords/marsh","display_name":"Marsh","score":0.5335586071014404},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5279319286346436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47382792830467224},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.47377943992614746},{"id":"https://openalex.org/keywords/gf","display_name":"GF(2)","score":0.4729166626930237},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4306083917617798},{"id":"https://openalex.org/keywords/wetland","display_name":"Wetland","score":0.3728179931640625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3466816842556},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.32081758975982666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2961779236793518},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2582004964351654},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1441379189491272},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.11528921127319336}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7173861265182495},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5654114484786987},{"id":"https://openalex.org/C3019973339","wikidata":"https://www.wikidata.org/wiki/Q899523","display_name":"Object based","level":3,"score":0.5593481063842773},{"id":"https://openalex.org/C67268981","wikidata":"https://www.wikidata.org/wiki/Q30198","display_name":"Marsh","level":3,"score":0.5335586071014404},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5279319286346436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47382792830467224},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.47377943992614746},{"id":"https://openalex.org/C156350748","wikidata":"https://www.wikidata.org/wiki/Q5513324","display_name":"GF(2)","level":3,"score":0.4729166626930237},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4306083917617798},{"id":"https://openalex.org/C67715294","wikidata":"https://www.wikidata.org/wiki/Q170321","display_name":"Wetland","level":2,"score":0.3728179931640625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3466816842556},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.32081758975982666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2961779236793518},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2582004964351654},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1441379189491272},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.11528921127319336},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C77926391","wikidata":"https://www.wikidata.org/wiki/Q603880","display_name":"Finite field","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12081270","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12081270","pdf_url":"https://www.mdpi.com/2072-4292/12/8/1270/pdf?version=1587119729","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:fc180e7605884563b83bcdf40f8c5a08","is_oa":true,"landing_page_url":"https://doaj.org/article/fc180e7605884563b83bcdf40f8c5a08","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 12, Iss 8, p 1270 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/8/1270/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12081270","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 12; Issue 8; Pages: 1270","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12081270","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12081270","pdf_url":"https://www.mdpi.com/2072-4292/12/8/1270/pdf?version=1587119729","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4826698965","display_name":null,"funder_award_id":"41801071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6429290250","display_name":null,"funder_award_id":"21976043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7397486017","display_name":null,"funder_award_id":"2018GXNSFBA281015","funder_id":"https://openalex.org/F4320313613","funder_display_name":"Natural Science Foundation of Guangxi Zhuang Autonomous Region"},{"id":"https://openalex.org/G8919350440","display_name":null,"funder_award_id":"GUTQDJJ2017096","funder_id":"https://openalex.org/F4320321925","funder_display_name":"Guilin University of Technology"}],"funders":[{"id":"https://openalex.org/F4320313613","display_name":"Natural Science Foundation of Guangxi Zhuang Autonomous Region","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321925","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3016345523.pdf"},"referenced_works_count":86,"referenced_works":["https://openalex.org/W1565635109","https://openalex.org/W1602811519","https://openalex.org/W1707683952","https://openalex.org/W1963516471","https://openalex.org/W1964262728","https://openalex.org/W1967178899","https://openalex.org/W1967225430","https://openalex.org/W1967413121","https://openalex.org/W1970323848","https://openalex.org/W1971637299","https://openalex.org/W1972793421","https://openalex.org/W1973897814","https://openalex.org/W1977287730","https://openalex.org/W1977332862","https://openalex.org/W1978153935","https://openalex.org/W1985166309","https://openalex.org/W1991770826","https://openalex.org/W1994230782","https://openalex.org/W2011500029","https://openalex.org/W2027915408","https://openalex.org/W2028278285","https://openalex.org/W2031416051","https://openalex.org/W2034525837","https://openalex.org/W2044465660","https://openalex.org/W2050366445","https://openalex.org/W2052331316","https://openalex.org/W2064263183","https://openalex.org/W2076131212","https://openalex.org/W2081620141","https://openalex.org/W2082081125","https://openalex.org/W2084549193","https://openalex.org/W2092075602","https://openalex.org/W2104301422","https://openalex.org/W2108484081","https://openalex.org/W2128768787","https://openalex.org/W2139741891","https://openalex.org/W2146189581","https://openalex.org/W2155261478","https://openalex.org/W2156665896","https://openalex.org/W2159384226","https://openalex.org/W2161245744","https://openalex.org/W2168481151","https://openalex.org/W2397914484","https://openalex.org/W2519338473","https://openalex.org/W2525592260","https://openalex.org/W2532592089","https://openalex.org/W2552224582","https://openalex.org/W2557117995","https://openalex.org/W2653148934","https://openalex.org/W2770654566","https://openalex.org/W2774571784","https://openalex.org/W2776146695","https://openalex.org/W2793276707","https://openalex.org/W2797031392","https://openalex.org/W2797779281","https://openalex.org/W2810128213","https://openalex.org/W2883315788","https://openalex.org/W2884352191","https://openalex.org/W2888134398","https://openalex.org/W2897856113","https://openalex.org/W2898327539","https://openalex.org/W2907396431","https://openalex.org/W2907459272","https://openalex.org/W2911964244","https://openalex.org/W2912067546","https://openalex.org/W2912560939","https://openalex.org/W2914540485","https://openalex.org/W2917491519","https://openalex.org/W2921615371","https://openalex.org/W2923966159","https://openalex.org/W2929419255","https://openalex.org/W2944077903","https://openalex.org/W2944954104","https://openalex.org/W2951680932","https://openalex.org/W2956153785","https://openalex.org/W2967891899","https://openalex.org/W2969351098","https://openalex.org/W6646705199","https://openalex.org/W6659096714","https://openalex.org/W6663476391","https://openalex.org/W6733261796","https://openalex.org/W6746977392","https://openalex.org/W6752721565","https://openalex.org/W6752777038","https://openalex.org/W6758919689","https://openalex.org/W6760422901"],"related_works":["https://openalex.org/W4232427361","https://openalex.org/W4403412966","https://openalex.org/W3020030325","https://openalex.org/W2517672927","https://openalex.org/W2378109669","https://openalex.org/W158465627","https://openalex.org/W4248963943","https://openalex.org/W4316813422","https://openalex.org/W4295116013","https://openalex.org/W2739057980"],"abstract_inverted_index":{"Discriminating":[0],"marsh":[1,50,100,154,222,291],"vegetation":[2,51,101,155,223,292],"is":[3,25,157,204],"critical":[4],"for":[5,61,99,135,193,290,303],"the":[6,33,47,58,70,83,106,143,166,174,180,186,197,207,218,240,245,260],"rapid":[7],"assessment":[8],"and":[9,36,79,94,140,182,248,273,284,296,307],"management":[10],"of":[11,38,49,85,89,117,138,149,161,173,185,201,214,221,271],"wetlands.":[12],"The":[13,114,147,212,251],"study":[14,31,119],"area,":[15],"Honghe":[16],"National":[17],"Nature":[18],"Reserve":[19],"(HNNR),":[20],"a":[21,86],"typical":[22],"freshwater":[23],"wetland,":[24],"located":[26],"in":[27,276],"Northeast":[28],"China.":[29],"This":[30],"optimized":[32],"parameters":[34],"(mtry":[35],"ntrees)":[37],"an":[39],"object-based":[40,108,125,175],"random":[41],"forest":[42],"(RF)":[43],"algorithm":[44,110,177,258],"to":[45,72,153,165,235],"improve":[46],"applicability":[48],"classification.":[52],"Multidimensional":[53],"datasets":[54,216,242],"were":[55],"used":[56],"as":[57,121],"input":[59],"variables":[60,71,238,289],"model":[62],"training,":[63],"then":[64],"variable":[65,232,256],"selection":[66,233,257],"was":[67,103],"performed":[68],"on":[69],"eliminate":[73],"redundancy,":[74],"which":[75],"improved":[76,107,179,217,244],"classification":[77,102,183,199,246,301],"efficiency":[78,247],"overall":[80,133,219,249],"accuracy.":[81,250],"Finally,":[82],"performance":[84,148],"new":[87],"generation":[88],"Chinese":[90],"high-spatial-resolution":[91],"Gaofen-1":[92],"(GF-1)":[93],"Ziyuan-3":[95],"(ZY-3)":[96],"satellite":[97],"images":[98,298],"evaluated":[104],"using":[105],"RF":[109,126,176],"with":[111,226],"accuracy":[112,134,184,200,220,302],"assessment.":[113],"specific":[115],"conclusions":[116],"this":[118],"are":[120,287],"follows:":[122],"(1)":[123],"Optimized":[124],"classifications":[127],"consistently":[128],"produced":[129],"more":[130],"than":[131,159],"70.26%":[132],"all":[136],"scenarios":[137],"GF-1":[139,162,194,295],"ZY-3":[141,150,297],"at":[142,206],"95%":[144,208],"confidence":[145,209],"interval.":[146,210],"imagery":[151,163],"applied":[152],"mapping":[156],"lower":[158],"that":[160],"due":[164],"coarse":[167],"spatial":[168],"resolution.":[169],"(2)":[170],"Parameter":[171],"optimization":[172],"effectively":[178,243],"stability":[181],"algorithm.":[187],"After":[188],"parameter":[189],"adjustment,":[190],"scenario":[191],"3":[192],"data":[195],"had":[196,259,299],"highest":[198],"84%":[202],"(ZY-3":[203],"74.72%)":[205],"(3)":[211],"introduction":[213],"multidimensional":[215,241],"mapping,":[224],"but":[225],"many":[227],"redundant":[228,237],"variables.":[229],"Using":[230],"three":[231],"algorithms":[234],"remove":[236],"from":[239],"recursive":[252],"feature":[253],"elimination":[254],"(RFE)-based":[255],"best":[261],"performance.":[262],"(4)":[263],"Optical":[264],"spectral":[265,267],"bands,":[266],"indices,":[268],"mean":[269],"value":[270],"green":[272],"NIR":[274],"bands":[275],"textural":[277],"information,":[278],"DEM,":[279],"TWI,":[280],"compactness,":[281],"max":[282],"difference,":[283],"shape":[285],"index":[286],"valuable":[288],"mapping.":[293],"(5)":[294],"higher":[300],"forest,":[304],"cropland,":[305],"shrubs,":[306],"open":[308],"water.":[309]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2020-04-24T00:00:00"}