{"id":"https://openalex.org/W3130820477","doi":"https://doi.org/10.1109/igarss39084.2020.9323208","title":"Winter Wheat Phenology Extraction Based on Dense Time Series of Senyinel-1A Data","display_name":"Winter Wheat Phenology Extraction Based on Dense Time Series of Senyinel-1A Data","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3130820477","doi":"https://doi.org/10.1109/igarss39084.2020.9323208","mag":"3130820477"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5075925476","display_name":"Lin Qiu","orcid":"https://orcid.org/0000-0002-3587-5371"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Qiu","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China),Qingdao,Shandong,China,266580"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China),Qingdao,Shandong,China,266580","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053518414","display_name":"Genyun Sun","orcid":"https://orcid.org/0000-0002-2641-2615"},"institutions":[{"id":"https://openalex.org/I4210113896","display_name":"Qingdao National Laboratory for Marine Science and Technology","ror":"https://ror.org/026sv7t11","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210113896"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genyun Sun","raw_affiliation_strings":["Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology,Qingdao,China,266237"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology,Qingdao,China,266237","institution_ids":["https://openalex.org/I4210113896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074984354","display_name":"Aizhu Zhang","orcid":"https://orcid.org/0000-0003-2226-8908"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aizhu Zhang","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China),Qingdao,Shandong,China,266580"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China),Qingdao,Shandong,China,266580","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102198875","display_name":"Yanjuan Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158498","display_name":"Satellite Application Center for Ecology and Environment","ror":"https://ror.org/04x9p9g72","country_code":"CN","type":"government","lineage":["https://openalex.org/I204710742","https://openalex.org/I4210158498"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjuan Yao","raw_affiliation_strings":["Satellite Environment Center, Ministry of Environmental protection of China,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Satellite Environment Center, Ministry of Environmental protection of China,Beijing,China,100094","institution_ids":["https://openalex.org/I4210158498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"5262","last_page":"5265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9951000213623047,"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"}},{"id":"https://openalex.org/T14157","display_name":"Environmental and Agricultural Sciences","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/phenology","display_name":"Phenology","score":0.8047846555709839},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6592826247215271},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.6438212990760803},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5989338755607605},{"id":"https://openalex.org/keywords/winter-wheat","display_name":"Winter wheat","score":0.4693138599395752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4017728567123413},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.13861224055290222},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12453150749206543},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0936170220375061},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06711629033088684},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06461653113365173},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.058364272117614746}],"concepts":[{"id":"https://openalex.org/C51417038","wikidata":"https://www.wikidata.org/wiki/Q272737","display_name":"Phenology","level":2,"score":0.8047846555709839},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6592826247215271},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.6438212990760803},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5989338755607605},{"id":"https://openalex.org/C3018661444","wikidata":"https://www.wikidata.org/wiki/Q6977574","display_name":"Winter wheat","level":2,"score":0.4693138599395752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4017728567123413},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.13861224055290222},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12453150749206543},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0936170220375061},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06711629033088684},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06461653113365173},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.058364272117614746},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/2"},{"display_name":"Climate action","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G7571944725","display_name":null,"funder_award_id":"41971292,41871270,41801275","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1181411426","https://openalex.org/W1642988316","https://openalex.org/W2081820160","https://openalex.org/W2113656029","https://openalex.org/W2141414687","https://openalex.org/W2585309444","https://openalex.org/W2745131289","https://openalex.org/W2802559180","https://openalex.org/W2886623289","https://openalex.org/W2889759488","https://openalex.org/W2890942070"],"related_works":["https://openalex.org/W2373524250","https://openalex.org/W4206027277","https://openalex.org/W2388003193","https://openalex.org/W2367450255","https://openalex.org/W2243549226","https://openalex.org/W2184048517","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Monitoring":[0],"crop":[1],"phenology":[2,83,104],"is":[3],"essential":[4],"for":[5,108],"analyzing":[6],"the":[7,28,54,65,75,82,88,95,106],"impacts":[8],"of":[9,31,37,59,84,98],"climate":[10],"change":[11],"and":[12,43,46,105],"agronomic":[13],"management":[14],"on":[15],"agricultural":[16],"production.":[17],"In":[18],"this":[19,91],"study,":[20],"we":[21,79],"proposed":[22],"a":[23],"new":[24],"framework":[25],"to":[26,61,71,101],"monitor":[27],"phonological":[29],"response":[30,97],"winter":[32,85,102,110],"wheat":[33,86,103,111],"using":[34],"time":[35],"series":[36],"Sentinel-1A":[38,99],"as":[39,41],"well":[40],"rainfall":[42],"temperature":[44],"data,":[45],"ground":[47],"phenological":[48],"observations.":[49],"The":[50],"results":[51,76],"showed":[52,64,77],"that":[53,68,78],"radar":[55],"backscatter":[56],"coefficient":[57],"ratio":[58],"VH":[60],"VV":[62],"polarization":[63],"obvious":[66],"seasonality":[67],"was":[69],"related":[70],"vegetation":[72],"phenology.":[73,112],"Furthermore,":[74],"can":[80],"extract":[81],"from":[87],"backscatter.":[89],"Overall,":[90],"study":[92],"clearly":[93],"shows":[94],"strong":[96],"data":[100],"potential":[107],"monitoring":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
