{"id":"https://openalex.org/W3130350130","doi":"https://doi.org/10.1109/igarss39084.2020.9323164","title":"Spatio-Temporal Statistical Sequential Analysis for Temperature Change Detection in Satellite Imagery","display_name":"Spatio-Temporal Statistical Sequential Analysis for Temperature Change Detection in Satellite Imagery","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3130350130","doi":"https://doi.org/10.1109/igarss39084.2020.9323164","mag":"3130350130"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 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/A5020036459","display_name":"Husam Alfergani","orcid":null},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Husam Alfergani","raw_affiliation_strings":["Rowan University, Electrical and Computer Engineering, NJ"],"affiliations":[{"raw_affiliation_string":"Rowan University, Electrical and Computer Engineering, NJ","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041401460","display_name":"Nidhal Bouaynaya","orcid":"https://orcid.org/0000-0002-8833-8414"},"institutions":[{"id":"https://openalex.org/I44265643","display_name":"Rowan University","ror":"https://ror.org/049v69k10","country_code":"US","type":"education","lineage":["https://openalex.org/I44265643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nidhal Bouaynaya","raw_affiliation_strings":["Rowan University, Electrical and Computer Engineering, NJ"],"affiliations":[{"raw_affiliation_string":"Rowan University, Electrical and Computer Engineering, NJ","institution_ids":["https://openalex.org/I44265643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065689543","display_name":"Rouzbeh Nazari","orcid":"https://orcid.org/0000-0002-0664-438X"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rouzbeh Nazari","raw_affiliation_strings":["University of Alabama at Birmingham Civil, Construction, and Environmental Engineering, Birmingham, AL"],"affiliations":[{"raw_affiliation_string":"University of Alabama at Birmingham Civil, Construction, and Environmental Engineering, Birmingham, AL","institution_ids":["https://openalex.org/I32389192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020036459"],"corresponding_institution_ids":["https://openalex.org/I44265643"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.32261443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2917","last_page":"2920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9923999905586243,"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/change-detection","display_name":"Change detection","score":0.8821337223052979},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6849671602249146},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6565236449241638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6384787559509277},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5157570838928223},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4702072739601135},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4429125189781189},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.44027817249298096},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43321043252944946},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4301658272743225},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4239843189716339},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37002575397491455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3356861472129822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27651724219322205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18472212553024292},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17343074083328247},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15674254298210144},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11461660265922546},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10881328582763672},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08083224296569824}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.8821337223052979},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6849671602249146},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6565236449241638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6384787559509277},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5157570838928223},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4702072739601135},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4429125189781189},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.44027817249298096},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43321043252944946},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4301658272743225},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4239843189716339},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37002575397491455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3356861472129822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27651724219322205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18472212553024292},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17343074083328247},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15674254298210144},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11461660265922546},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10881328582763672},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08083224296569824},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5699999928474426,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G8147298767","display_name":null,"funder_award_id":"51258-28006-12","funder_id":"https://openalex.org/F4320306114","funder_display_name":"U.S. Department of Agriculture"}],"funders":[{"id":"https://openalex.org/F4320306114","display_name":"U.S. Department of Agriculture","ror":"https://ror.org/01na82s61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1775626196","https://openalex.org/W1898811136","https://openalex.org/W2022629116","https://openalex.org/W2038408059","https://openalex.org/W2044535354","https://openalex.org/W2075604142","https://openalex.org/W2080506759","https://openalex.org/W2154448853","https://openalex.org/W2164742238","https://openalex.org/W2606466198"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W3097449145","https://openalex.org/W2561617217","https://openalex.org/W2025378473","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W2359428812"],"abstract_inverted_index":{"The":[0],"analysis":[1,18,142],"of":[2,19,36,52,65,94,154,163],"remote":[3],"sensing":[4],"data":[5,22],"enables":[6],"us":[7],"to":[8,104,145],"detect":[9,105],"changes":[10,54,85,88,107,159],"and":[11,30,108,120,157],"monitor":[12],"land":[13],"surface":[14],"temperature":[15,84],"(LST).":[16],"However,":[17],"times":[20],"series":[21],"poses":[23],"some":[24],"challenges,":[25],"including":[26],"weather":[27],"conditions,":[28],"seasonality":[29],"noise,":[31],"that":[32],"limit":[33],"the":[34,63,90,95,110,152],"effectiveness":[35],"change":[37,73],"detection":[38,51,68,74,153],"algorithms.":[39],"While":[40],"existing":[41],"algorithms":[42],"perform":[43],"relatively":[44],"well":[45],"for":[46,151],"detecting":[47],"abrupt":[48,156],"transitions,":[49],"reliable":[50],"gradual":[53,158],"is":[55,102,143],"more":[56],"difficult.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,123],"formulate":[62],"problem":[64],"spatiotemporal":[66],"LST":[67,76,125,161],"as":[69,80,87],"a":[70,147],"statistical":[71],"sequential":[72,141],"problem.":[75],"images":[77,126],"are":[78],"modeled":[79],"stochastic":[81],"processes,":[82],"with":[83],"reflected":[86],"in":[89,160],"parameters":[91],"(i.e.,":[92],"mean)":[93],"process.":[96],"A":[97],"generalized":[98],"likelihood":[99],"ratio":[100],"test":[101],"used":[103,144],"these":[106],"estimate":[109],"exact":[111],"time/space":[112],"where":[113],"they":[114],"occur.":[115],"To":[116],"minimize":[117],"processing":[118],"time":[119],"memory":[121],"requirements,":[122],"represent":[124],"by":[127,136],"their":[128],"reduced":[129],"dimensionality":[130],"using":[131],"direct":[132],"cosine":[133],"transformation":[134],"followed":[135],"principal":[137],"component":[138],"analysis.":[139],"Statistical":[140],"provide":[146],"unified":[148],"mathematical":[149],"framework":[150],"both":[155],"observations":[162],"Bridgeton":[164],"Missouri":[165],"landfill":[166],"over":[167],"17":[168],"years.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}