{"id":"https://openalex.org/W4389920404","doi":"https://doi.org/10.56530/spectroscopy.dr5881c1","title":"Identification and Classification of Degradation-Indicator Grass Species in a Desertified Steppe Based on HSI-UAV","display_name":"Identification and Classification of Degradation-Indicator Grass Species in a Desertified Steppe Based on HSI-UAV","publication_year":2023,"publication_date":"2023-11-01","ids":{"openalex":"https://openalex.org/W4389920404","doi":"https://doi.org/10.56530/spectroscopy.dr5881c1"},"language":"en","primary_location":{"id":"doi:10.56530/spectroscopy.dr5881c1","doi":"https://doi.org/10.56530/spectroscopy.dr5881c1","is_oa":false,"landing_page_url":"https://doi.org/10.56530/spectroscopy.dr5881c1","pdf_url":null,"source":{"id":"https://openalex.org/S4387284724","display_name":"Spectroscopy","issn_l":"0887-6703","issn":["0887-6703","1939-1900"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Spectroscopy","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101266645","display_name":"Xinchao Gao","orcid":"https://orcid.org/0009-0008-6169-7493","observed_orcids":["https://orcid.org/0009-0008-6169-7493"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xinchao Gao","raw_affiliation_strings":["Mongolia Agricultural University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mongolia Agricultural University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061158703","display_name":"Fei Hao","orcid":"https://orcid.org/0009-0001-5650-3737","observed_orcids":["https://orcid.org/0009-0001-5650-3737"]},"institutions":[{"id":"https://openalex.org/I4405280133","display_name":"Hohhot Vocational College","ror":"https://ror.org/02g64ae48","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405280133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Hao","raw_affiliation_strings":["School of Mechanical and Electrical Engineering Hohhot Vocational College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering Hohhot Vocational College","institution_ids":["https://openalex.org/I4405280133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109594590","display_name":"Weiqiang Pi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210087590","display_name":"Huzhou Vocational and Technical College","ror":"https://ror.org/002hfez23","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210087590"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqiang Pi","raw_affiliation_strings":["School of Mechanical and Electrical Engineering Huzhou Vocational and Technical College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering Huzhou Vocational and Technical College","institution_ids":["https://openalex.org/I4210087590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086478599","display_name":"Xiangbing Zhu","orcid":"https://orcid.org/0000-0002-3547-0745","observed_orcids":["https://orcid.org/0000-0002-3547-0745"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiangbing Zhu","raw_affiliation_strings":["Mongolia Agricultural University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mongolia Agricultural University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375879","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0003-0557-9018","observed_orcids":["https://orcid.org/0000-0003-0557-9018"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Mongolia Agricultural University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mongolia Agricultural University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072476051","display_name":"Yuge Bi","orcid":"https://orcid.org/0000-0002-0677-0933","observed_orcids":["https://orcid.org/0000-0002-0677-0933"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuge Bi","raw_affiliation_strings":["Mongolia Agricultural University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mongolia Agricultural University","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Yanbin Zhang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanbin Zhang","raw_affiliation_strings":["Mongolia Agricultural University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mongolia Agricultural University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101266645"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2913,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49461704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"14","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.5375999808311462,"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":0.5375999808311462,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.41499999165534973,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer 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":0.016200000420212746,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/grassland-degradation","display_name":"grassland degradation","score":0.7919999957084656},{"id":"https://openalex.org/keywords/hyperspectral-remote-sensing","display_name":"hyperspectral remote sensing","score":0.7839999794960022},{"id":"https://openalex.org/keywords/unmanned-aerial-vehicles","display_name":"unmanned aerial vehicles","score":0.8220000267028809},{"id":"https://openalex.org/keywords/plant-identification","display_name":"plant identification","score":0.6660000085830688},{"id":"https://openalex.org/keywords/vegetation-classification","display_name":"vegetation classification","score":0.621999979019165},{"id":"https://openalex.org/keywords/artemisia-frigida","display_name":"Artemisia frigida","score":0.8820000290870667},{"id":"https://openalex.org/keywords/stipa-breviflora","display_name":"Stipa breviflora","score":0.9990000128746033},{"id":"https://openalex.org/keywords/spectral-similarity","display_name":"spectral similarity","score":0.33399999141693115},{"id":"https://openalex.org/keywords/grassland-monitoring","display_name":"grassland monitoring","score":0.6340000033378601}],"concepts":[{"id":"https://openalex.org/C105895522","wikidata":"https://www.wikidata.org/wiki/Q123991","display_name":"Steppe","level":2,"score":0.8568564057350159},{"id":"https://openalex.org/C2779179000","wikidata":"https://www.wikidata.org/wiki/Q17077080","display_name":"Grassland degradation","level":3,"score":0.7533291578292847},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7193948030471802},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6911505460739136},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.63651043176651},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.6191045641899109},{"id":"https://openalex.org/C2775835988","wikidata":"https://www.wikidata.org/wiki/Q1006733","display_name":"Grassland","level":2,"score":0.540056049823761},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.4874718189239502},{"id":"https://openalex.org/C2776889800","wikidata":"https://www.wikidata.org/wiki/Q161274","display_name":"Stipa","level":2,"score":0.4651077389717102},{"id":"https://openalex.org/C2985179745","wikidata":"https://www.wikidata.org/wiki/Q131449","display_name":"Plant species","level":2,"score":0.4391342103481293},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2851199805736542},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.2850111722946167},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.17310914397239685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1629662811756134},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.56530/spectroscopy.dr5881c1","doi":"https://doi.org/10.56530/spectroscopy.dr5881c1","is_oa":false,"landing_page_url":"https://doi.org/10.56530/spectroscopy.dr5881c1","pdf_url":null,"source":{"id":"https://openalex.org/S4387284724","display_name":"Spectroscopy","issn_l":"0887-6703","issn":["0887-6703","1939-1900"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Spectroscopy","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life on land","id":"https://metadata.un.org/sdg/15","score":0.9599999785423279}],"study_designs":[],"awards":[{"id":"https://openalex.org/G5469353528","display_name":"\u57fa\u4e8e\u65e0\u4eba\u673a\u9ad8\u5149\u8c31\u9065\u611f\u7684\u5178\u578b\u8349\u539f\u9000\u5316\u8fdb\u7a0b\u76d1\u6d4b\u53ca\u8bc4\u4ef7\u7814\u7a76","funder_award_id":"31660137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7163612349","display_name":null,"funder_award_id":"61973111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2038346247","https://openalex.org/W2072557973","https://openalex.org/W2265658348","https://openalex.org/W2515921946","https://openalex.org/W2591466624","https://openalex.org/W2603798200","https://openalex.org/W2763455760","https://openalex.org/W2784301945","https://openalex.org/W2788451552","https://openalex.org/W2804934392","https://openalex.org/W2884526666","https://openalex.org/W2913022037","https://openalex.org/W2947955650","https://openalex.org/W2979738525","https://openalex.org/W2999585470","https://openalex.org/W3173971216","https://openalex.org/W3210334119","https://openalex.org/W4312817978"],"related_works":["https://openalex.org/W3197786651","https://openalex.org/W2996799616","https://openalex.org/W2111715208","https://openalex.org/W4319315129","https://openalex.org/W4304689780","https://openalex.org/W4290548608","https://openalex.org/W4391654701","https://openalex.org/W4399314331","https://openalex.org/W4319596064","https://openalex.org/W4380628146"],"abstract_inverted_index":{"The":[0,67],"emergence":[1],"and":[2,26,73,78,83,99,114,139],"number":[3],"of":[4,15,61,90,108],"grassland":[5,16],"degradation-indicator":[6,31,58,143],"grass":[7,32,59,144],"species":[8,33,60,145],"are":[9,23],"important":[10],"in":[11,20,65,93],"evaluating":[12,140],"the":[13,56,106,109,121],"extent":[14],"degradation.":[17],"Plant":[18],"populations":[19,111],"desertified":[21,63,141],"steppe":[22,64,142],"distributed":[24],"randomly":[25],"at":[27],"low":[28],"density.":[29],"Specifically,":[30],"mainly":[34],"exist":[35],"as":[36],"individuals,":[37],"making":[38],"spectrum-based":[39],"identification":[40],"difficult.":[41],"Here,":[42],"a":[43,62,87,134],"low-altitude":[44],"unmanned":[45],"aerial":[46],"vehicle":[47],"(UAV)":[48],"hyperspectral":[49,116],"remote-sensing":[50,117],"system":[51],"was":[52],"constructed":[53],"to":[54,119],"identify":[55],"typical":[57],"China.":[66],"ASI":[68],"index":[69],"(Artemisia":[70],"frigida":[71],"Willd.":[72],"Stipa":[74],"breviflora":[75],"Grisb.":[76],"index)":[77],"classification":[79],"rules":[80],"were":[81],"proposed":[82],"applied.":[84],"We":[85],"implemented":[86],"comprehensive":[88],"application":[89],"amplified":[91],"differences":[92],"spectral":[94],"characteristics":[95,107],"between":[96],"vegetation":[97],"communities":[98],"assigned":[100],"plant":[101,110],"senescence":[102],"reflectance-index":[103],"bands,":[104],"using":[105],"under":[112],"observation":[113],"UAV":[115],"data,":[118],"solve":[120],"problems":[122],"resulting":[123],"from":[124],"high":[125],"similarity":[126],"while":[127],"identifying":[128],"ground":[129],"objects.":[130],"Our":[131],"results":[132],"lay":[133],"solid":[135],"foundation":[136],"for":[137],"monitoring":[138],"based":[146],"on":[147],"remote":[148],"sensing.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-12-19T00:00:00"}