{"id":"https://openalex.org/W2546656858","doi":"https://doi.org/10.1109/igarss.2016.7729730","title":"A study of vegetation phenology in the analysis of urbanization process based on time-series MODIS data","display_name":"A study of vegetation phenology in the analysis of urbanization process based on time-series MODIS data","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2546656858","doi":"https://doi.org/10.1109/igarss.2016.7729730","mag":"2546656858"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5032217037","display_name":"Jianbin Tao","orcid":"https://orcid.org/0000-0003-4844-7736"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbin Tao","raw_affiliation_strings":["Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan, PR China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101554604","display_name":"Xiangbing Kong","orcid":"https://orcid.org/0000-0003-3273-8248"},"institutions":[{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]},{"id":"https://openalex.org/I4210158179","display_name":"Yellow River Institute of Hydraulic Research","ror":"https://ror.org/0506q7a98","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611","https://openalex.org/I4210158179"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangbing Kong","raw_affiliation_strings":["Ministry of Water Resources, Yellow River Institute of Hydraulic Research, Zhengzhou, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Water Resources, Yellow River Institute of Hydraulic Research, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I4210155611","https://openalex.org/I4210158179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445233","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-5501-2725"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan, PR China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101661884","display_name":"Ruiqing Chen","orcid":"https://orcid.org/0000-0002-6435-6335"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqing Chen","raw_affiliation_strings":["Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan, PR China","institution_ids":["https://openalex.org/I40963666"]}]}],"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":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"2826","last_page":"2829"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9980000257492065,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9979000091552734,"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/time-series","display_name":"Time series","score":0.7451651692390442},{"id":"https://openalex.org/keywords/urbanization","display_name":"Urbanization","score":0.7422338128089905},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7223237156867981},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.7096616625785828},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5966647267341614},{"id":"https://openalex.org/keywords/phenology","display_name":"Phenology","score":0.5814780592918396},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.48641490936279297},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4511415958404541},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4339090883731842},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3999977111816406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3879455029964447},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.27062273025512695},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.226400226354599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0948270857334137},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08914658427238464},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08263158798217773},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.061276406049728394}],"concepts":[{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.7451651692390442},{"id":"https://openalex.org/C39853841","wikidata":"https://www.wikidata.org/wiki/Q161078","display_name":"Urbanization","level":2,"score":0.7422338128089905},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7223237156867981},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.7096616625785828},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5966647267341614},{"id":"https://openalex.org/C51417038","wikidata":"https://www.wikidata.org/wiki/Q272737","display_name":"Phenology","level":2,"score":0.5814780592918396},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.48641490936279297},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4511415958404541},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4339090883731842},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3999977111816406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3879455029964447},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.27062273025512695},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.226400226354599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0948270857334137},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08914658427238464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08263158798217773},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.061276406049728394},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1619117934","https://openalex.org/W1963728787","https://openalex.org/W1983078406","https://openalex.org/W2025411670","https://openalex.org/W2034906331","https://openalex.org/W2047549267","https://openalex.org/W2056757752","https://openalex.org/W2117996123","https://openalex.org/W2132330486","https://openalex.org/W2138751033","https://openalex.org/W2153538582","https://openalex.org/W2179670209","https://openalex.org/W2183593531","https://openalex.org/W2318160089","https://openalex.org/W2385696202","https://openalex.org/W2989983865","https://openalex.org/W4385159787","https://openalex.org/W4385539054","https://openalex.org/W6636950212"],"related_works":["https://openalex.org/W2392907783","https://openalex.org/W2373524250","https://openalex.org/W1985072978","https://openalex.org/W891751532","https://openalex.org/W2375489112","https://openalex.org/W4206027277","https://openalex.org/W2370838374","https://openalex.org/W2615806692","https://openalex.org/W2080965330","https://openalex.org/W2547534968"],"abstract_inverted_index":{"In":[0],"this":[1],"research":[2],"we":[3],"presented":[4],"a":[5,21,23,45,68],"novel":[6],"method":[7,118],"to":[8,88],"address":[9],"the":[10,32,85,91,100,116,124],"issue":[11],"of":[12,34,93,103,126],"urbanization":[13,101],"process":[14],"from":[15,27,74],"time-series":[16,28,75,86],"MODIS":[17,29,35,76],"products.":[18],"By":[19],"employing":[20],"metrics,":[22],"phenological":[24,69],"parameter":[25],"extracted":[26,109],"data":[30,36],"and":[31,41,64,110],"advantages":[33],"with":[37,61],"high":[38],"temporal":[39],"resolution":[40],"intermediate":[42],"spatial":[43],"resolution,":[44],"remote":[46],"sensing":[47],"based":[48],"model":[49],"for":[50,123],"mapping":[51],"urban":[52,104,127],"dynamics":[53],"in":[54,106],"Wuhan":[55,107],"city":[56],"was":[57,72,82,108],"built":[58],"through":[59],"integration":[60],"Landsat":[62],"images":[63],"land-cover":[65,94],"data.":[66,78],"First,":[67],"parameter,":[70],"amplitude":[71,87],"derived":[73],"EVI":[77],"Next,":[79],"linear":[80],"regression":[81],"performed":[83],"on":[84],"figure":[89],"out":[90],"trend":[92,102],"changing":[95],"into":[96],"built-up":[97],"areas.":[98],"Finally,":[99],"cores":[105],"analyzed.":[111],"Our":[112],"study":[113],"indicates":[114],"that":[115],"proposed":[117],"can":[119],"be":[120],"efficiently":[121],"applied":[122],"monitoring":[125],"dynamics.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}