{"id":"https://openalex.org/W2755141769","doi":"https://doi.org/10.1109/multi-temp.2017.8035207","title":"Global climatic drivers of vegetation based on wavelet analysis","display_name":"Global climatic drivers of vegetation based on wavelet analysis","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2755141769","doi":"https://doi.org/10.1109/multi-temp.2017.8035207","mag":"2755141769"},"language":"en","primary_location":{"id":"doi:10.1109/multi-temp.2017.8035207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/multi-temp.2017.8035207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)","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/A5038880503","display_name":"Jeroen Claessen","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jeroen Claessen","raw_affiliation_strings":["Laboratory of Hydrology and Water Management (LHWM), Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Hydrology and Water Management (LHWM), Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036096971","display_name":"Brecht Martens","orcid":"https://orcid.org/0000-0002-7368-7953"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Brecht Martens","raw_affiliation_strings":["Laboratory of Hydrology and Water Management (LHWM), Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Hydrology and Water Management (LHWM), Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056787306","display_name":"Niko E. C. Verhoest","orcid":"https://orcid.org/0000-0003-4116-8881"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Niko E. C. Verhoest","raw_affiliation_strings":["Laboratory of Hydrology and Water Management (LHWM), Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Hydrology and Water Management (LHWM), Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032593486","display_name":"Annalisa Molini","orcid":"https://orcid.org/0000-0003-3815-3929"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Annalisa Molini","raw_affiliation_strings":["Institute Center for Water and Environment (iWATER), Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute Center for Water and Environment (iWATER), Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030207043","display_name":"Diego G. Miralles","orcid":"https://orcid.org/0000-0001-6186-5751"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Diego G. Miralles","raw_affiliation_strings":["Laboratory of Hydrology and Water Management (LHWM), Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Hydrology and Water Management (LHWM), Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.13949884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9872000217437744,"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":0.9872000217437744,"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":0.9796000123023987,"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/T13377","display_name":"Ecosystem dynamics and resilience","score":0.9724000096321106,"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/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.7725521326065063},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.7630308866500854},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6685671806335449},{"id":"https://openalex.org/keywords/enhanced-vegetation-index","display_name":"Enhanced vegetation index","score":0.6540268659591675},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5941822528839111},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.5471374988555908},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.5220082402229309},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.5170774459838867},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5075262784957886},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.4436778724193573},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.43580466508865356},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43227729201316833},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.42060214281082153},{"id":"https://openalex.org/keywords/vegetation-index","display_name":"Vegetation Index","score":0.4159834384918213},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.41400712728500366},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2555031180381775},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21826162934303284},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15890654921531677},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.15123409032821655},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13615167140960693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12807834148406982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.11272984743118286}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.7725521326065063},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.7630308866500854},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6685671806335449},{"id":"https://openalex.org/C78869512","wikidata":"https://www.wikidata.org/wiki/Q5378810","display_name":"Enhanced vegetation index","level":5,"score":0.6540268659591675},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5941822528839111},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.5471374988555908},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.5220082402229309},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.5170774459838867},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5075262784957886},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.4436778724193573},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.43580466508865356},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43227729201316833},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.42060214281082153},{"id":"https://openalex.org/C2780376076","wikidata":"https://www.wikidata.org/wiki/Q1499458","display_name":"Vegetation Index","level":4,"score":0.4159834384918213},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.41400712728500366},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2555031180381775},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21826162934303284},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15890654921531677},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.15123409032821655},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13615167140960693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12807834148406982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.11272984743118286},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/multi-temp.2017.8035207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/multi-temp.2017.8035207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1494272296","https://openalex.org/W1966715855","https://openalex.org/W1987923818","https://openalex.org/W2006599158","https://openalex.org/W2034139177","https://openalex.org/W2034672914","https://openalex.org/W2039361154","https://openalex.org/W2041073097","https://openalex.org/W2075793519","https://openalex.org/W2110063971","https://openalex.org/W2113410727","https://openalex.org/W2124459709","https://openalex.org/W2126559941","https://openalex.org/W2126777570","https://openalex.org/W2162136094","https://openalex.org/W2166361350","https://openalex.org/W2283727311","https://openalex.org/W2288797935"],"related_works":["https://openalex.org/W3207384893","https://openalex.org/W3207046288","https://openalex.org/W2374167006","https://openalex.org/W4283156607","https://openalex.org/W4384939875","https://openalex.org/W4214921029","https://openalex.org/W4285330809","https://openalex.org/W2012686349","https://openalex.org/W2969795594","https://openalex.org/W4313432081"],"abstract_inverted_index":{"Cross-correlations":[0],"provide":[1],"a":[2,35,162,175],"useful":[3],"technique":[4],"to":[5,24,52,63,120,128],"analyse":[6],"the":[7,28,47,54,72,79,113,122,167,179],"similarities":[8],"between":[9,56],"vegetation":[10,31,57,77,184],"indices":[11],"and":[12,32,58,91,100,146,188],"time":[13,38,168],"series":[14,169],"of":[15,30,37,49,81,125,135,143,156,166,182],"climatic":[16,107,130,180],"variables.":[17],"However,":[18],"correlation":[19],"analyses":[20],"are":[21,103,158],"not":[22],"sufficient":[23],"unveil":[25],"changes":[26],"in":[27,178],"co-variability":[29],"climate":[33,60],"as":[34,105],"function":[36],"or":[39],"for":[40,160],"different":[41,183],"temporal":[42],"scales.":[43],"Here,":[44],"we":[45],"introduce":[46],"use":[48,80],"wavelet":[50,114,137],"coherence":[51,115],"evaluate":[53],"relationship":[55],"its":[59],"drivers,":[61],"aiming":[62],"reveal":[64],"how":[65],"this":[66],"relation":[67],"has":[68],"changed":[69],"globally":[70],"during":[71],"period":[73],"1984-2007.":[74],"We":[75],"diagnose":[76],"through":[78],"Normalised":[82],"Difference":[83],"Vegetation":[84,92],"Index":[85,89],"(NDVI),":[86],"Leaf":[87],"Area":[88],"(LAI)":[90],"Optical":[93],"Depth":[94],"(VOD),":[95],"while":[96],"precipitation,":[97],"air":[98],"temperature":[99],"incoming":[101],"radiation":[102],"considered":[104],"separate":[106],"drivers.":[108],"Our":[109,132],"results":[110,173],"indicate":[111,174],"that":[112],"analysis":[116,165],"can":[117],"be":[118],"used":[119],"disentangle":[121],"contrasting":[123],"response":[124,181],"global":[126,133,152],"ecosystems":[127],"their":[129],"environment.":[131],"maps":[134],"mean":[136],"coherence,":[138],"align":[139],"with":[140],"literature-reported":[141],"areas":[142,155],"preferential":[144],"water":[145],"energy":[147],"stress.":[148],"Based":[149],"on":[150],"these":[151],"maps,":[153],"some":[154],"interest":[157],"selected":[159],"which":[161],"detailed":[163],"spectral":[164],"is":[170],"performed.":[171],"Initial":[172],"clear":[176],"discrepancy":[177],"diagnostics":[185],"over":[186],"grasslands":[187],"woody":[189],"regions.":[190]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
