{"id":"https://openalex.org/W4386141471","doi":"https://doi.org/10.3390/rs15174140","title":"Optimized Extraction Method of Fruit Planting Distribution Based on Spectral and Radar Data Fusion of Key Time Phase","display_name":"Optimized Extraction Method of Fruit Planting Distribution Based on Spectral and Radar Data Fusion of Key Time Phase","publication_year":2023,"publication_date":"2023-08-23","ids":{"openalex":"https://openalex.org/W4386141471","doi":"https://doi.org/10.3390/rs15174140"},"language":"en","primary_location":{"id":"doi:10.3390/rs15174140","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15174140","pdf_url":"https://www.mdpi.com/2072-4292/15/17/4140/pdf?version=1692870576","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/2072-4292/15/17/4140/pdf?version=1692870576","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102548712","display_name":"Guobing Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]},{"id":"https://openalex.org/I4210126292","display_name":"Xinjiang Academy of Forestry","ror":"https://ror.org/03n9xd583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210126292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guobing Zhao","raw_affiliation_strings":["College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China","Institute of Modern Forestry, Xinjiang Academy of Forestry Sciences, Urumqi 830063, China"],"affiliations":[{"raw_affiliation_string":"College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"Institute of Modern Forestry, Xinjiang Academy of Forestry Sciences, Urumqi 830063, China","institution_ids":["https://openalex.org/I4210126292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058772567","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0001-7275-4846"},"institutions":[{"id":"https://openalex.org/I4210126292","display_name":"Xinjiang Academy of Forestry","ror":"https://ror.org/03n9xd583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210126292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Institute of Modern Forestry, Xinjiang Academy of Forestry Sciences, Urumqi 830063, China"],"affiliations":[{"raw_affiliation_string":"Institute of Modern Forestry, Xinjiang Academy of Forestry Sciences, Urumqi 830063, China","institution_ids":["https://openalex.org/I4210126292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108658599","display_name":"Jianghua Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianghua Zheng","raw_affiliation_strings":["College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China","Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China"],"affiliations":[{"raw_affiliation_string":"College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043779594","display_name":"Nigela Tuerxun","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nigela Tuerxun","raw_affiliation_strings":["College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China"],"affiliations":[{"raw_affiliation_string":"College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104157741","display_name":"Wanqiang Han","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanqiang Han","raw_affiliation_strings":["College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China"],"affiliations":[{"raw_affiliation_string":"College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100322335","display_name":"Liang Liu","orcid":"https://orcid.org/0000-0001-5887-9597"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Liu","raw_affiliation_strings":["College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China"],"affiliations":[{"raw_affiliation_string":"College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5108658599"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.8403,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90144969,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":"17","first_page":"4140","last_page":"4140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9997000098228455,"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":0.9997000098228455,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/remote-sensing","display_name":"Remote sensing","score":0.72105872631073},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5551342368125916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5380408763885498},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5204484462738037},{"id":"https://openalex.org/keywords/shuttle-radar-topography-mission","display_name":"Shuttle Radar Topography Mission","score":0.43652188777923584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3264048099517822},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.24485096335411072},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.20737630128860474},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1644279658794403}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.72105872631073},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5551342368125916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5380408763885498},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5204484462738037},{"id":"https://openalex.org/C184149073","wikidata":"https://www.wikidata.org/wiki/Q965136","display_name":"Shuttle Radar Topography Mission","level":3,"score":0.43652188777923584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3264048099517822},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.24485096335411072},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.20737630128860474},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1644279658794403}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15174140","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15174140","pdf_url":"https://www.mdpi.com/2072-4292/15/17/4140/pdf?version=1692870576","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:e719db6984364526a2dc1513ef66987e","is_oa":true,"landing_page_url":"https://doaj.org/article/e719db6984364526a2dc1513ef66987e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 17, p 4140 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/17/4140/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15174140","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 15; Issue 17; Pages: 4140","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15174140","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15174140","pdf_url":"https://www.mdpi.com/2072-4292/15/17/4140/pdf?version=1692870576","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386141471.pdf"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W1541774929","https://openalex.org/W1992939357","https://openalex.org/W1994023194","https://openalex.org/W2022204818","https://openalex.org/W2063907334","https://openalex.org/W2070262574","https://openalex.org/W2072465375","https://openalex.org/W2084697643","https://openalex.org/W2090265020","https://openalex.org/W2095649738","https://openalex.org/W2170063831","https://openalex.org/W2397741397","https://openalex.org/W2466877391","https://openalex.org/W2515306179","https://openalex.org/W2531168480","https://openalex.org/W2754847445","https://openalex.org/W2755013453","https://openalex.org/W2793288240","https://openalex.org/W2802757984","https://openalex.org/W2886054370","https://openalex.org/W2891711602","https://openalex.org/W2911964244","https://openalex.org/W2922021721","https://openalex.org/W2935551676","https://openalex.org/W2955617386","https://openalex.org/W2969228094","https://openalex.org/W2980853285","https://openalex.org/W2999585470","https://openalex.org/W3004916592","https://openalex.org/W3013386193","https://openalex.org/W3014372673","https://openalex.org/W3023058341","https://openalex.org/W3023727915","https://openalex.org/W3037944168","https://openalex.org/W3082766779","https://openalex.org/W3088154325","https://openalex.org/W3088162569","https://openalex.org/W3088233071","https://openalex.org/W3104825134","https://openalex.org/W3106378566","https://openalex.org/W3123813572","https://openalex.org/W3127060672","https://openalex.org/W3137356499","https://openalex.org/W3142748488","https://openalex.org/W3150615185","https://openalex.org/W3163231391","https://openalex.org/W3174507101","https://openalex.org/W3176630368","https://openalex.org/W3203391155","https://openalex.org/W4206336768","https://openalex.org/W4210751056","https://openalex.org/W4210754462","https://openalex.org/W4220852129","https://openalex.org/W4224985649","https://openalex.org/W4225078954","https://openalex.org/W4280612547","https://openalex.org/W4281756631","https://openalex.org/W4284712030","https://openalex.org/W4291017761","https://openalex.org/W4292471179","https://openalex.org/W4292544942","https://openalex.org/W4293695919","https://openalex.org/W4296569602","https://openalex.org/W4296641359","https://openalex.org/W4306173875","https://openalex.org/W4307434375","https://openalex.org/W4327949224","https://openalex.org/W4379377701","https://openalex.org/W6786289000","https://openalex.org/W6838500656"],"related_works":["https://openalex.org/W2080020532","https://openalex.org/W2031788280","https://openalex.org/W2127004658","https://openalex.org/W2090233178","https://openalex.org/W4255528761","https://openalex.org/W1898047482","https://openalex.org/W4235781284","https://openalex.org/W2078577136","https://openalex.org/W2080223487","https://openalex.org/W186183378"],"abstract_inverted_index":{"With":[0],"China\u2019s":[1],"fruit":[2,17,36,56,132,142,273,305,337,345,360,372],"tree":[3,18,37,57,133,211,274,306,338,346,361,373],"industry":[4,362],"becoming":[5],"the":[6,9,13,69,148,155,159,163,174,204,215,228,233,244,254,262,303,336,342,377],"largest":[7],"in":[8,54,192,214,277,280,331],"world,":[10],"accurately":[11,130],"understanding":[12],"spatial":[14],"distribution":[15,58],"of":[16,141,302,344],"growing":[19],"areas":[20,189,213,348],"is":[21],"crucial":[22],"for":[23,35,115,186,195,200,209,219,224,296,371],"promoting":[24],"socio-economic":[25],"development":[26],"and":[27,47,78,84,104,118,123,167,198,222,237,292,300,315,323,363,367],"rural":[28],"revitalization.":[29],"Remote":[30],"sensing":[31,75,352],"offers":[32],"unprecedented":[33],"opportunities":[34],"monitoring.":[38],"However,":[39],"previous":[40],"research":[41],"has":[42],"mainly":[43],"focused":[44],"on":[45,350],"UAV":[46],"near-ground":[48],"remote":[49,62,74,351],"sensing,":[50],"with":[51,288],"limited":[52],"accuracy":[53,185,197,206,221,246,264],"obtaining":[55],"information":[59],"through":[60],"satellite":[61,353],"sensing.":[63],"In":[64],"this":[65,332],"study,":[66],"we":[67],"utilized":[68],"Google":[70],"Earth":[71],"Engine":[72],"(GEE)":[73],"cloud":[76],"platform":[77],"integrated":[79],"data":[80],"from":[81,152,171],"Sentinel-1,":[82],"Sentinel-2,":[83,172],"SRTM":[85],"sources.":[86],"We":[87],"constructed":[88],"a":[89,119,178],"feature":[90,116,321],"space":[91],"by":[92,136,162,376],"extracting":[93],"original":[94,164],"band":[95,165],"features,":[96,99,101,103],"vegetation":[97,168],"index":[98,169],"polarization":[100],"terrain":[102,175],"texture":[105],"features.":[106],"The":[107,144,182,271,319],"sequential":[108],"forward":[109],"selection":[110],"(SFS)":[111],"algorithm":[112,329],"was":[113,127,190,207,282],"employed":[114],"optimization,":[117],"combined":[120,234],"machine":[121,257],"learning":[122],"object-oriented":[124,238],"classification":[125,184,231,259,327],"model":[126,242,328],"used":[128],"to":[129,158,284],"extract":[131],"crop":[134,365],"distributions":[135],"comparing":[137],"key":[138],"temporal":[139],"phases":[140],"trees.":[143],"results":[145],"revealed":[146],"that":[147],"backscatter":[149],"coefficient":[150],"features":[151,166,170,176],"Sentinel-1":[153],"had":[154,177,261],"highest":[156,183,245],"contribution":[157],"classification,":[160],"followed":[161],"while":[173,253],"relatively":[179],"smaller":[180],"contribution.":[181],"jujube":[187],"plantation":[188,212,275],"observed":[191],"November":[193],"(99.1%":[194],"user":[196,220],"96.6%":[199],"producer":[201,225],"accuracy),":[202],"whereas":[203],"lowest":[205,263],"found":[208],"pear":[210],"same":[216],"month":[217],"(93.4%":[218],"89.0%":[223],"accuracy).":[226],"Among":[227],"four":[229],"different":[230],"methods,":[232],"random":[235],"forest":[236],"(RF":[239],"+":[240,325],"OO)":[241],"exhibited":[243],"(OA":[247,265],"=":[248,251,266,269],"0.94,":[249],"Kappa":[250,268],"0.92),":[252],"support":[255,370],"vector":[256],"(SVM)":[258],"method":[260],"0.52,":[267],"0.31).":[270],"total":[272,304],"area":[276],"Aksu":[278],"City":[279],"2022":[281],"estimated":[283],"be":[285],"64,000":[286],"hectares,":[287,310,312,314,317],"walnut,":[289],"jujube,":[290],"pear,":[291],"apple":[293],"trees":[294],"accounting":[295],"42.5%,":[297],"20.6%,":[298],"19.3%,":[299],"17.5%":[301],"area,":[307],"respectively":[308],"(27,200":[309],"13,200":[311],"12,400":[313],"11,200":[316],"respectively).":[318],"SFS":[320],"optimization":[322],"RF":[324],"OO-combined":[326],"selected":[330],"study":[333],"effectively":[334],"mapped":[335],"planting":[339,347,374],"areas,":[340],"enabling":[341],"estimation":[343],"based":[349],"image":[354],"data.":[355],"This":[356],"approach":[357],"facilitates":[358],"accurate":[359],"real-time":[364],"monitoring":[366],"provides":[368],"valuable":[369],"management":[375],"relevant":[378],"departments.":[379]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
