{"id":"https://openalex.org/W2035757760","doi":"https://doi.org/10.1109/igarss.2012.6351342","title":"Evaluation of phenology extracting methods from vegetation index time series","display_name":"Evaluation of phenology extracting methods from vegetation index time series","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2035757760","doi":"https://doi.org/10.1109/igarss.2012.6351342","mag":"2035757760"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6351342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","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/A5053403248","display_name":"Wenquan Zhu","orcid":"https://orcid.org/0000-0003-3011-444X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenquan Zhu","raw_affiliation_strings":["State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, China","State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, 100875, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060633112","display_name":"Minjie Mou","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minjie Mou","raw_affiliation_strings":["State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, China","State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, 100875, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002732486","display_name":"Lingli Wang","orcid":"https://orcid.org/0000-0002-0579-3527"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingli Wang","raw_affiliation_strings":["State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, China","State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, 100875, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045396084","display_name":"Nan Jiang","orcid":"https://orcid.org/0000-0001-5151-5715"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Jiang","raw_affiliation_strings":["State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, China","State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, 100875, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, 100875, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053403248"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.09462167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"1158","last_page":"1161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9987000226974487,"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":0.9987000226974487,"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9939000010490417,"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"}},{"id":"https://openalex.org/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9890000224113464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.7841693162918091},{"id":"https://openalex.org/keywords/phenology","display_name":"Phenology","score":0.7409701347351074},{"id":"https://openalex.org/keywords/logistic-function","display_name":"Logistic function","score":0.5688043832778931},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5345930457115173},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4775044322013855},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.45333558320999146},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4337303638458252},{"id":"https://openalex.org/keywords/midpoint-method","display_name":"Midpoint method","score":0.4173280894756317},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4167746305465698},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41439563035964966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37666478753089905},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37621259689331055},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3412705063819885},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17159563302993774},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.10580644011497498},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.07612138986587524},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06921863555908203}],"concepts":[{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.7841693162918091},{"id":"https://openalex.org/C51417038","wikidata":"https://www.wikidata.org/wiki/Q272737","display_name":"Phenology","level":2,"score":0.7409701347351074},{"id":"https://openalex.org/C180802074","wikidata":"https://www.wikidata.org/wiki/Q1052379","display_name":"Logistic function","level":2,"score":0.5688043832778931},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5345930457115173},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4775044322013855},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.45333558320999146},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4337303638458252},{"id":"https://openalex.org/C85807060","wikidata":"https://www.wikidata.org/wiki/Q17103851","display_name":"Midpoint method","level":2,"score":0.4173280894756317},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4167746305465698},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41439563035964966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37666478753089905},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37621259689331055},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3412705063819885},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17159563302993774},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.10580644011497498},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.07612138986587524},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06921863555908203},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/igarss.2012.6351342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1627669854","https://openalex.org/W1996463620","https://openalex.org/W2018636632","https://openalex.org/W2072093516","https://openalex.org/W2074222846","https://openalex.org/W2112643492","https://openalex.org/W2113503197","https://openalex.org/W2115952782","https://openalex.org/W2132406085","https://openalex.org/W2133501143","https://openalex.org/W2139429070","https://openalex.org/W2151011640"],"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/W3128824461","https://openalex.org/W96071508","https://openalex.org/W2156132268","https://openalex.org/W2388278526"],"abstract_inverted_index":{"This":[0],"paper":[1],"evaluated":[2],"the":[3,14,20,35,42,47,58,63,69,75,82,98,110,126,132,140],"extraction":[4,49,70],"rate":[5,50,71],"and":[6,51,62,72,142],"accuracy":[7,73],"of":[8,27,74,145],"5":[9],"phenology":[10],"extracting":[11],"method,":[12],"taking":[13],"vegetation":[15,127,146],"phenological":[16,94,113,128],"metrics":[17,95,114,129],"derived":[18,112],"from":[19],"net":[21],"ecosystem":[22],"carbon":[23],"exchange":[24],"(NEE)":[25],"data":[26],"72":[28],"flux":[29],"towers":[30],"in":[31],"North":[32],"America":[33],"as":[34],"reference":[36],"data.":[37],"The":[38,86,93],"results":[39],"indicated":[40,124],"that":[41,125],"local":[43],"midpoint":[44],"method":[45,61,78,89,103,137],"achieved":[46],"highest":[48],"accuracy.":[52],"Better":[53],"performance":[54],"was":[55,117],"observed":[56],"for":[57],"moving":[59,76,83],"average":[60,77],"polynomial":[64],"function":[65,101,135],"fitting":[66,102,136],"method.":[67],"However,":[68],"were":[79],"sensitive":[80],"to":[81],"window":[84],"size.":[85],"global":[87],"threshold":[88],"performed":[90],"quite":[91],"poor.":[92],"extracted":[96,130],"with":[97,109,131],"piecewise":[99,133],"Logistic":[100,134],"had":[104],"a":[105,118],"large":[106],"systematic":[107],"discrepancy":[108],"NEE":[111],"but":[115],"there":[116],"strong":[119],"correlation":[120],"between":[121],"them,":[122],"which":[123],"can":[138],"reflect":[139],"temporal":[141],"spatial":[143],"variation":[144],"phenology.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}