{"id":"https://openalex.org/W4386361293","doi":"https://doi.org/10.1109/agro-geoinformatics59224.2023.10233437","title":"A remote sensing extraction method for garlic distribution in Pizhou City using GEE cloud platform","display_name":"A remote sensing extraction method for garlic distribution in Pizhou City using GEE cloud platform","publication_year":2023,"publication_date":"2023-07-25","ids":{"openalex":"https://openalex.org/W4386361293","doi":"https://doi.org/10.1109/agro-geoinformatics59224.2023.10233437"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics59224.2023.10233437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics59224.2023.10233437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","raw_type":"proceedings-article"},"type":"article","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/A5113555999","display_name":"Jin Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Shi","raw_affiliation_strings":["Jiangsu Normal University,School of Geography,Geomatics and Planning,Xuzhou,Jiangsu,China,221116"],"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University,School of Geography,Geomatics and Planning,Xuzhou,Jiangsu,China,221116","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426923","display_name":"Liang Liang","orcid":"https://orcid.org/0000-0003-0331-3312"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Liang","raw_affiliation_strings":["Jiangsu Normal University,School of Geography,Geomatics and Planning,Xuzhou,Jiangsu,China,221116"],"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University,School of Geography,Geomatics and Planning,Xuzhou,Jiangsu,China,221116","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013619690","display_name":"Siyi Qiu","orcid":"https://orcid.org/0000-0002-4283-3700"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyi Qiu","raw_affiliation_strings":["Jiangsu Normal University,School of Geography,Geomatics and Planning,Xuzhou,Jiangsu,China,221116"],"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University,School of Geography,Geomatics and Planning,Xuzhou,Jiangsu,China,221116","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100991247","display_name":"Chen Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Sun","raw_affiliation_strings":["Jiangsu Normal University,School of Geography,Geomatics and Planning,Xuzhou,Jiangsu,China,221116"],"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University,School of Geography,Geomatics and Planning,Xuzhou,Jiangsu,China,221116","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024264864","display_name":"Qianjie Wang","orcid":"https://orcid.org/0000-0002-9375-2150"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianjie Wang","raw_affiliation_strings":["Jiangsu Normal University,School of Geography,Geomatics and Planning,Xuzhou,Jiangsu,China,221116"],"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University,School of Geography,Geomatics and Planning,Xuzhou,Jiangsu,China,221116","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111033510","display_name":"Gengjing Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengjing Ding","raw_affiliation_strings":["Jiangsu Normal University,School of Geography,Geomatics and Planning,Xuzhou,Jiangsu,China,221116"],"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University,School of Geography,Geomatics and Planning,Xuzhou,Jiangsu,China,221116","institution_ids":["https://openalex.org/I118574674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113555999"],"corresponding_institution_ids":["https://openalex.org/I118574674"],"apc_list":null,"apc_paid":null,"fwci":0.2558,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62450974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9524999856948853,"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":0.9524999856948853,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.917900025844574,"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/cloud-computing","display_name":"Cloud computing","score":0.6769304871559143},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5854664444923401},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5523725152015686},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5472046136856079},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5131910443305969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48606255650520325},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.47022080421447754},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.4582783877849579},{"id":"https://openalex.org/keywords/vegetation-index","display_name":"Vegetation Index","score":0.4122184216976166},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4117572605609894},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.37445467710494995},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35490018129348755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3171750605106354},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20295089483261108},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.165788471698761},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.11614838242530823}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6769304871559143},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5854664444923401},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5523725152015686},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5472046136856079},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5131910443305969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48606255650520325},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.47022080421447754},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.4582783877849579},{"id":"https://openalex.org/C2780376076","wikidata":"https://www.wikidata.org/wiki/Q1499458","display_name":"Vegetation Index","level":4,"score":0.4122184216976166},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4117572605609894},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.37445467710494995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35490018129348755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3171750605106354},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20295089483261108},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.165788471698761},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.11614838242530823},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/agro-geoinformatics59224.2023.10233437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics59224.2023.10233437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.46000000834465027}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322298","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98"},{"id":"https://openalex.org/F4320327518","display_name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4319317911","https://openalex.org/W3207384893","https://openalex.org/W4396668917","https://openalex.org/W3207046288","https://openalex.org/W4372264653","https://openalex.org/W4310842702","https://openalex.org/W4327662653","https://openalex.org/W2012686349","https://openalex.org/W4366990902","https://openalex.org/W2096239959"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"taking":[3],"Pizhou":[4],"city":[5],"as":[6],"the":[7,52,70,76,79,88],"study":[8,53],"area,":[9],"based":[10,93],"on":[11,94],"Google":[12],"Earth":[13],"Engine":[14],"(GEE)":[15],"cloud":[16],"platform":[17],"and":[18,28,31,41,58,75,87],"Sentine1-2":[19],"data,":[20],"training":[21],"samples":[22],"were":[23,45,66],"determined":[24],"by":[25,55,85],"visual":[26],"inspection":[27],"field":[29],"survey,":[30],"three":[32],"classification":[33,38],"algorithms,":[34],"random":[35],"forest":[36],"classification,":[37],"regression":[39],"tree":[40],"support":[42],"vector":[43],"machine,":[44],"used":[46],"to":[47,69],"classify":[48],"typical":[49],"crops":[50],"in":[51],"area":[54],"spectral":[56],"reflectance":[57],"index":[59,90],"feature":[60],"extraction.":[61],"Then,":[62],"nine":[63],"vegetation":[64],"indices":[65],"selected":[67,84],"according":[68],"climatic":[71],"characteristics":[72],"of":[73],"garlic,":[74],"combination":[77],"with":[78],"best":[80],"extraction":[81],"effect":[82],"was":[83,91],"analysis,":[86],"final":[89],"constructed":[92],"weathering":[95],"characteristics.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
