{"id":"https://openalex.org/W1987441042","doi":"https://doi.org/10.3390/rs6064660","title":"Evaluating Remotely Sensed Phenological Metrics in a Dynamic Ecosystem Model","display_name":"Evaluating Remotely Sensed Phenological Metrics in a Dynamic Ecosystem Model","publication_year":2014,"publication_date":"2014-05-26","ids":{"openalex":"https://openalex.org/W1987441042","doi":"https://doi.org/10.3390/rs6064660","mag":"1987441042"},"language":"en","primary_location":{"id":"doi:10.3390/rs6064660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs6064660","pdf_url":"https://www.mdpi.com/2072-4292/6/6/4660/pdf?version=1403137397","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/6/6/4660/pdf?version=1403137397","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088012825","display_name":"Xu Hong","orcid":"https://orcid.org/0000-0002-4310-1296"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hong Xu","raw_affiliation_strings":["Department of Soil, Water and Climate, University of Minnesota, Saint Paul, MN 55108, USA"],"affiliations":[{"raw_affiliation_string":"Department of Soil, Water and Climate, University of Minnesota, Saint Paul, MN 55108, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015746759","display_name":"T. E. Twine","orcid":"https://orcid.org/0000-0002-8457-046X"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tracy Twine","raw_affiliation_strings":["Department of Soil, Water and Climate, University of Minnesota, Saint Paul, MN 55108, USA"],"affiliations":[{"raw_affiliation_string":"Department of Soil, Water and Climate, University of Minnesota, Saint Paul, MN 55108, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076811312","display_name":"Xi Yang","orcid":"https://orcid.org/0000-0002-5095-6735"},"institutions":[{"id":"https://openalex.org/I1338920048","display_name":"Marine Biological Laboratory","ror":"https://ror.org/046dg4z72","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1338920048"]},{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xi Yang","raw_affiliation_strings":["Department of Geological Sciences, Brown University, Providence, RI 02912, USA","The Ecosystem Center, Marine Biological Laboratory, Woods Hole, MA 02543, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geological Sciences, Brown University, Providence, RI 02912, USA","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"The Ecosystem Center, Marine Biological Laboratory, Woods Hole, MA 02543, USA","institution_ids":["https://openalex.org/I1338920048"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088012825"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.332,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.90846827,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":"6","first_page":"4660","last_page":"4686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"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":0.9998000264167786,"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9983999729156494,"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/phenology","display_name":"Phenology","score":0.9302900433540344},{"id":"https://openalex.org/keywords/ibis","display_name":"Ibis","score":0.6988778114318848},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6928144693374634},{"id":"https://openalex.org/keywords/growing-season","display_name":"Growing season","score":0.5481151342391968},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.5414034128189087},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.5079055428504944},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.4798426330089569},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4730597734451294},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4419425427913666},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.3515973687171936},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.26191163063049316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.18874609470367432},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16612258553504944},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06155526638031006}],"concepts":[{"id":"https://openalex.org/C51417038","wikidata":"https://www.wikidata.org/wiki/Q272737","display_name":"Phenology","level":2,"score":0.9302900433540344},{"id":"https://openalex.org/C2780698032","wikidata":"https://www.wikidata.org/wiki/Q193833","display_name":"Ibis","level":2,"score":0.6988778114318848},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6928144693374634},{"id":"https://openalex.org/C137660486","wikidata":"https://www.wikidata.org/wiki/Q732240","display_name":"Growing season","level":2,"score":0.5481151342391968},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.5414034128189087},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.5079055428504944},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.4798426330089569},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4730597734451294},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4419425427913666},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.3515973687171936},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.26191163063049316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.18874609470367432},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16612258553504944},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06155526638031006},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs6064660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs6064660","pdf_url":"https://www.mdpi.com/2072-4292/6/6/4660/pdf?version=1403137397","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:darchive.mblwhoilibrary.org:1912/6809","is_oa":true,"landing_page_url":"https://hdl.handle.net/1912/6809","pdf_url":null,"source":{"id":"https://openalex.org/S4306400781","display_name":"Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:34d5eb4d04b24329a48727ae44f9a861","is_oa":true,"landing_page_url":"https://doaj.org/article/34d5eb4d04b24329a48727ae44f9a861","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 6, Iss 6, Pp 4660-4686 (2014)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/6/6/4660/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs6064660","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 6; Issue 6; Pages: 4660-4686","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs6064660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs6064660","pdf_url":"https://www.mdpi.com/2072-4292/6/6/4660/pdf?version=1403137397","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1987441042.pdf","grobid_xml":"https://content.openalex.org/works/W1987441042.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1498761773","https://openalex.org/W1535541538","https://openalex.org/W1591117803","https://openalex.org/W1627669854","https://openalex.org/W1964862952","https://openalex.org/W1973082839","https://openalex.org/W1973826253","https://openalex.org/W1985026622","https://openalex.org/W1996463620","https://openalex.org/W1999112734","https://openalex.org/W2001743134","https://openalex.org/W2005940941","https://openalex.org/W2007468519","https://openalex.org/W2017297650","https://openalex.org/W2017410010","https://openalex.org/W2018330599","https://openalex.org/W2018636632","https://openalex.org/W2029411945","https://openalex.org/W2038927660","https://openalex.org/W2042892802","https://openalex.org/W2072093516","https://openalex.org/W2074222846","https://openalex.org/W2078626542","https://openalex.org/W2083702808","https://openalex.org/W2088405902","https://openalex.org/W2090427691","https://openalex.org/W2096682311","https://openalex.org/W2099098700","https://openalex.org/W2100177426","https://openalex.org/W2100585318","https://openalex.org/W2101345887","https://openalex.org/W2105283498","https://openalex.org/W2106811285","https://openalex.org/W2113410727","https://openalex.org/W2114313289","https://openalex.org/W2115952782","https://openalex.org/W2120567641","https://openalex.org/W2122311299","https://openalex.org/W2127747844","https://openalex.org/W2132736696","https://openalex.org/W2132874271","https://openalex.org/W2136611861","https://openalex.org/W2137593756","https://openalex.org/W2138378012","https://openalex.org/W2142564779","https://openalex.org/W2151478249","https://openalex.org/W2152958687","https://openalex.org/W2154951153","https://openalex.org/W2155179055","https://openalex.org/W2158370478","https://openalex.org/W2322019790","https://openalex.org/W2404241756","https://openalex.org/W2483287765","https://openalex.org/W2583033008","https://openalex.org/W4254882618","https://openalex.org/W4298466131","https://openalex.org/W6732726755"],"related_works":["https://openalex.org/W1990588213","https://openalex.org/W4323031844","https://openalex.org/W2016852621","https://openalex.org/W2020747065","https://openalex.org/W3128824461","https://openalex.org/W2363711112","https://openalex.org/W2099590259","https://openalex.org/W1584322122","https://openalex.org/W2620183634","https://openalex.org/W4328048665"],"abstract_inverted_index":{"Vegetation":[0,103,107],"phenology":[1,19,55,85,112],"plays":[2],"an":[3,64],"important":[4,72],"role":[5],"in":[6,47,116,207],"regulating":[7],"processes":[8],"of":[9,18,24,43,113,137,144,186,209,222,232],"terrestrial":[10],"ecosystems.":[11],"Dynamic":[12],"ecosystem":[13,192],"models":[14,45],"(DEMs)":[15],"require":[16],"representation":[17],"to":[20,66,73,75,173,184,202,217],"simulate":[21],"the":[22,29,41,84,88,111,117,123,138,145,152,159,177,219,229,233],"exchange":[23],"matter":[25],"and":[26,31,105,133,155,181,190,205,225],"energy":[27],"between":[28],"land":[30],"atmosphere.":[32],"Location-specific":[33],"parameterization":[34],"with":[35,128],"phenological":[36,44,51,68,80,126,169,175],"observations":[37,52,129],"can":[38,60],"potentially":[39],"improve":[40],"performance":[42],"embedded":[46],"DEMs.":[48],"As":[49],"ground-based":[50],"are":[53,82],"limited,":[54],"derived":[56],"from":[57],"remote":[58],"sensing":[59],"be":[61,215],"used":[62,172],"as":[63],"alternative":[65],"parameterize":[67,174],"models.":[69],"It":[70],"is":[71,179],"evaluate":[74],"what":[76],"extent":[77],"remotely":[78,124,167],"sensed":[79,125,168],"metrics":[81,127,170],"capturing":[83],"observed":[86],"on":[87,95],"ground.":[89],"We":[90],"evaluated":[91],"six":[92],"methods":[93,139,150],"based":[94],"two":[96,149],"vegetation":[97],"indices":[98],"(VIs)":[99],"(i.e.,":[100],"Normalized":[101],"Difference":[102],"Index":[104],"Enhanced":[106],"Index)":[108],"for":[109,151,158],"retrieving":[110],"temperate":[114],"forest":[115],"Agro-IBIS":[118,198],"model.":[119],"First,":[120],"we":[121],"compared":[122],"at":[130],"Harvard":[131],"Forest":[132],"found":[134],"that":[135,197],"most":[136],"have":[140],"large":[141],"biases":[142],"regardless":[143],"VI":[146],"used.":[147],"Only":[148],"leaf":[153,160,203,223],"onset":[154,204,224],"one":[156],"method":[157],"offset":[161,206,226],"showed":[162],"a":[163],"moderate":[164],"performance.":[165],"When":[166],"were":[171],"models,":[176],"bias":[178],"maintained,":[180],"errors":[182],"propagate":[183],"predictions":[185],"gross":[187],"primary":[188],"productivity":[189],"net":[191],"production.":[193],"Our":[194],"results":[195],"show":[196],"has":[199],"different":[200],"sensitivities":[201],"terms":[208],"carbon":[210],"assimilation,":[211],"suggesting":[212],"it":[213],"might":[214],"better":[216],"examine":[218],"respective":[220],"impact":[221,231],"rather":[227],"than":[228],"overall":[230],"growing":[234],"season":[235],"length.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}