{"id":"https://openalex.org/W2614591615","doi":"https://doi.org/10.1109/jstars.2017.2698444","title":"An Up-Scaled Vegetation Temperature Condition Index Retrieved From Landsat Data with Trend Surface Analysis","display_name":"An Up-Scaled Vegetation Temperature Condition Index Retrieved From Landsat Data with Trend Surface Analysis","publication_year":2017,"publication_date":"2017-05-19","ids":{"openalex":"https://openalex.org/W2614591615","doi":"https://doi.org/10.1109/jstars.2017.2698444","mag":"2614591615"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2017.2698444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2017.2698444","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5022811292","display_name":"Xuejiao Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuejiao Bai","raw_affiliation_strings":["Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102940284","display_name":"Pengxin Wang","orcid":"https://orcid.org/0000-0002-2655-6731"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengxin Wang","raw_affiliation_strings":["Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031827767","display_name":"Hongshuo Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongshuo Wang","raw_affiliation_strings":["Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065603132","display_name":"Yi Xie","orcid":"https://orcid.org/0000-0002-7439-9179"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Xie","raw_affiliation_strings":["Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022811292"],"corresponding_institution_ids":["https://openalex.org/I52158045"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":0.9958,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74599106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":"8","first_page":"3537","last_page":"3546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11186","display_name":"Hydrology and Drought Analysis","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/T11186","display_name":"Hydrology and Drought Analysis","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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9979000091552734,"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/T10029","display_name":"Climate variability and models","score":0.9937999844551086,"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/remote-sensing","display_name":"Remote sensing","score":0.762222945690155},{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.7369121313095093},{"id":"https://openalex.org/keywords/spectroradiometer","display_name":"Spectroradiometer","score":0.6486297845840454},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6031452417373657},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5896833539009094},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5503982901573181},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5045720338821411},{"id":"https://openalex.org/keywords/spatial-distribution","display_name":"Spatial distribution","score":0.45382580161094666},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.4331912398338318},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4284888803958893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.260939359664917},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19964760541915894},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17920950055122375},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.17065954208374023},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.16790854930877686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16555067896842957},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1473429799079895},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.11799794435501099},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.08587411046028137}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.762222945690155},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.7369121313095093},{"id":"https://openalex.org/C130066347","wikidata":"https://www.wikidata.org/wiki/Q680509","display_name":"Spectroradiometer","level":3,"score":0.6486297845840454},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6031452417373657},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5896833539009094},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5503982901573181},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5045720338821411},{"id":"https://openalex.org/C2777016058","wikidata":"https://www.wikidata.org/wiki/Q7574061","display_name":"Spatial distribution","level":2,"score":0.45382580161094666},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.4331912398338318},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4284888803958893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.260939359664917},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19964760541915894},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17920950055122375},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.17065954208374023},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.16790854930877686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16555067896842957},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1473429799079895},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.11799794435501099},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.08587411046028137},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"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/jstars.2017.2698444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2017.2698444","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G1088776795","display_name":null,"funder_award_id":"41371390","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W349196091","https://openalex.org/W998302530","https://openalex.org/W1568955821","https://openalex.org/W1926971900","https://openalex.org/W1964386488","https://openalex.org/W1973694986","https://openalex.org/W1974047452","https://openalex.org/W1979381053","https://openalex.org/W1980421221","https://openalex.org/W1982377325","https://openalex.org/W1989279348","https://openalex.org/W1989935604","https://openalex.org/W1992522851","https://openalex.org/W1993301282","https://openalex.org/W2003939279","https://openalex.org/W2004553837","https://openalex.org/W2005823171","https://openalex.org/W2005843680","https://openalex.org/W2010784770","https://openalex.org/W2013547572","https://openalex.org/W2017393444","https://openalex.org/W2029659546","https://openalex.org/W2032013744","https://openalex.org/W2032367819","https://openalex.org/W2034037515","https://openalex.org/W2035961696","https://openalex.org/W2038105899","https://openalex.org/W2055749016","https://openalex.org/W2068235271","https://openalex.org/W2076038726","https://openalex.org/W2079605058","https://openalex.org/W2080226549","https://openalex.org/W2086316193","https://openalex.org/W2090137677","https://openalex.org/W2098397376","https://openalex.org/W2099746464","https://openalex.org/W2119929874","https://openalex.org/W2120424480","https://openalex.org/W2122582889","https://openalex.org/W2133665775","https://openalex.org/W2145635378","https://openalex.org/W2152656408","https://openalex.org/W2161881124","https://openalex.org/W2162283024","https://openalex.org/W2168642702","https://openalex.org/W2185301601","https://openalex.org/W2314002285","https://openalex.org/W2469911300","https://openalex.org/W4285719527","https://openalex.org/W4385174588","https://openalex.org/W6678012111","https://openalex.org/W6686103558","https://openalex.org/W6719945021"],"related_works":["https://openalex.org/W1968901811","https://openalex.org/W2087241461","https://openalex.org/W1609312116","https://openalex.org/W3183766399","https://openalex.org/W2098219828","https://openalex.org/W2045907675","https://openalex.org/W4381826918","https://openalex.org/W2360114125","https://openalex.org/W4398198197","https://openalex.org/W2736619525"],"abstract_inverted_index":{"Drought":[0],"causes":[1],"great":[2],"losses":[3],"in":[4,22,119],"regional":[5],"agricultural":[6],"production":[7],"and":[8,27,45,61,131,136,140,149,164,203,224],"decreases":[9],"socioeconomic":[10],"growth.":[11],"The":[12,113,157,187],"vegetation":[13],"temperature":[14],"condition":[15],"index":[16],"(VTCI)":[17],"has":[18],"a":[19,107,110,120,200,213,216],"distinct":[20],"advantage":[21],"monitoring":[23],"the":[24,32,58,80,89,129,137,175,181,228],"onset,":[25],"duration,":[26],"intensity":[28],"of":[29,34,54,134,195,197,221],"droughts.":[30,55],"With":[31],"development":[33],"modern":[35],"remote":[36],"sensing":[37],"technologies,":[38],"remotely":[39],"sensed":[40],"data":[41],"with":[42],"variable":[43],"spatial":[44,130,209,218],"temporal":[46],"resolution":[47,219],"are":[48,116,178],"used":[49,82],"to":[50,66,79,100,109,124,180,207,215,227],"generate":[51],"multiscale":[52],"maps":[53],"Therefore,":[56],"understanding":[57],"scale":[59],"effect":[60],"developing":[62],"appropriate":[63],"up-scaling":[64],"methods":[65,115],"retrieve":[67],"spatiotemporal":[68],"drought":[69,210],"variables":[70,211],"across":[71],"different":[72],"scales":[73],"is":[74,162,190],"valuable.":[75],"As":[76],"an":[77],"alternative":[78],"commonly":[81],"window":[83],"averaging":[84],"(WA)":[85],"method,":[86],"we":[87],"develop":[88],"trend":[90],"surface":[91],"analysis":[92,99],"(TSA)":[93],"method":[94,189],"based":[95],"on":[96],"multiple":[97],"regression":[98],"up-scale":[101,208],"Landsat-derived":[102,172],"VTCI":[103,154],"(Landsat-VTCI)":[104],"images":[105,148],"from":[106,212],"finer":[108,214],"coarser":[111,217],"resolution.":[112],"two":[114],"systematically":[117],"evaluated":[118],"case":[121],"study":[122,201],"according":[123],"various":[125],"statistical":[126],"indicators,":[127],"including":[128],"frequency":[132],"distributions":[133],"features,":[135],"correlation":[138],"coefficients":[139],"root":[141],"mean":[142],"square":[143],"errors":[144],"between":[145],"up-scaled":[146],"Landsat-VTCI":[147],"moderate-resolution":[150],"Imaging":[151],"Spectroradiometer":[152],"(MODIS)-derived":[153],"(MODIS-VTCI)":[155],"images.":[156],"results":[158,177,183],"show":[159],"that":[160],"TSA":[161,182,188],"reliable":[163],"more":[165],"suitable":[166],"than":[167],"WA":[168,176,229],"for":[169,184,192],"non-normally":[170],"distributed":[171],"VTCIs,":[173],"whereas":[174],"similar":[179],"normal":[185],"distributions.":[186],"flexible":[191],"any":[193],"type":[194],"distribution":[196],"Landsat-VTCIs":[198],"within":[199],"area":[202],"can":[204],"be":[205],"programmed":[206],"because":[220],"its":[222],"efficiency":[223],"flexibility":[225],"compared":[226],"method.":[230]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
