{"id":"https://openalex.org/W4205193269","doi":"https://doi.org/10.1016/j.isprsjprs.2022.01.006","title":"A novel regression method for harmonic analysis of time series","display_name":"A novel regression method for harmonic analysis of time series","publication_year":2022,"publication_date":"2022-01-21","ids":{"openalex":"https://openalex.org/W4205193269","doi":"https://doi.org/10.1016/j.isprsjprs.2022.01.006"},"language":"en","primary_location":{"id":"doi:10.1016/j.isprsjprs.2022.01.006","doi":"https://doi.org/10.1016/j.isprsjprs.2022.01.006","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.isprsjprs.2022.01.006","pdf_url":null,"source":{"id":"https://openalex.org/S173339282","display_name":"ISPRS Journal of Photogrammetry and Remote Sensing","issn_l":"0924-2716","issn":["0924-2716","1872-8235"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","jufo-2","norway-1","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS Journal of Photogrammetry and Remote Sensing","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.isprsjprs.2022.01.006","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020198396","display_name":"Qiang Zhou","orcid":"https://orcid.org/0009-0008-8662-7694","observed_orcids":["https://orcid.org/0009-0008-8662-7694"]},"institutions":[{"id":"https://openalex.org/I1286329397","display_name":"United States Geological Survey","ror":"https://ror.org/035a68863","country_code":"US","type":"government","lineage":["https://openalex.org/I1286329397","https://openalex.org/I1335927249"]},{"id":"https://openalex.org/I4391767937","display_name":"Earth Resources Observation and Science Center","ror":"https://ror.org/00ffy1726","country_code":null,"type":"facility","lineage":["https://openalex.org/I1286329397","https://openalex.org/I1335927249","https://openalex.org/I4391767937"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qiang Zhou","raw_affiliation_strings":["ASRC Federal Data Solutions, Contractor to the U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center, Work Performed under USGS Contract 140G0119C0001, 47914 252nd Street, Sioux Falls, SD 57198, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASRC Federal Data Solutions, Contractor to the U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center, Work Performed under USGS Contract 140G0119C0001, 47914 252nd Street, Sioux Falls, SD 57198, USA","institution_ids":["https://openalex.org/I1286329397","https://openalex.org/I4391767937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006812496","display_name":"Zhe Zhu","orcid":"https://orcid.org/0000-0001-8283-6407","observed_orcids":["https://orcid.org/0000-0001-8283-6407"]},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhe Zhu","raw_affiliation_strings":["Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT 06269, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT 06269, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012129280","display_name":"George Xian","orcid":"https://orcid.org/0000-0001-5674-2204","observed_orcids":["https://orcid.org/0000-0001-5674-2204"]},"institutions":[{"id":"https://openalex.org/I1286329397","display_name":"United States Geological Survey","ror":"https://ror.org/035a68863","country_code":"US","type":"government","lineage":["https://openalex.org/I1286329397","https://openalex.org/I1335927249"]},{"id":"https://openalex.org/I4391767937","display_name":"Earth Resources Observation and Science Center","ror":"https://ror.org/00ffy1726","country_code":null,"type":"facility","lineage":["https://openalex.org/I1286329397","https://openalex.org/I1335927249","https://openalex.org/I4391767937"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Xian","raw_affiliation_strings":["U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center, 47914 252nd Street, Sioux Falls, SD 57198, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center, 47914 252nd Street, Sioux Falls, SD 57198, USA","institution_ids":["https://openalex.org/I1286329397","https://openalex.org/I4391767937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100332233","display_name":"Congcong Li","orcid":"https://orcid.org/0000-0003-0641-9657","observed_orcids":["https://orcid.org/0000-0003-0641-9657","https://orcid.org/0000-0001-7790-1112"]},"institutions":[{"id":"https://openalex.org/I1286329397","display_name":"United States Geological Survey","ror":"https://ror.org/035a68863","country_code":"US","type":"government","lineage":["https://openalex.org/I1286329397","https://openalex.org/I1335927249"]},{"id":"https://openalex.org/I4391767937","display_name":"Earth Resources Observation and Science Center","ror":"https://ror.org/00ffy1726","country_code":null,"type":"facility","lineage":["https://openalex.org/I1286329397","https://openalex.org/I1335927249","https://openalex.org/I4391767937"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Congcong Li","raw_affiliation_strings":["ASRC Federal Data Solutions, Contractor to the U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center, Work Performed under USGS Contract 140G0119C0001, 47914 252nd Street, Sioux Falls, SD 57198, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASRC Federal Data Solutions, Contractor to the U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center, Work Performed under USGS Contract 140G0119C0001, 47914 252nd Street, Sioux Falls, SD 57198, USA","institution_ids":["https://openalex.org/I1286329397","https://openalex.org/I4391767937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020198396"],"corresponding_institution_ids":["https://openalex.org/I1286329397","https://openalex.org/I4391767937"],"apc_list":{"value":2880,"currency":"USD","value_usd":2880},"apc_paid":{"value":2880,"currency":"USD","value_usd":2880},"fwci":5.0383,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.96599409,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"185","issue":null,"first_page":"48","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9599999785423279,"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":0.9599999785423279,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.008200000040233135,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.0031999999191612005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/harmonic-analysis","display_name":"harmonic analysis","score":0.871999979019165},{"id":"https://openalex.org/keywords/time-series-regression","display_name":"time series regression","score":0.8009999990463257},{"id":"https://openalex.org/keywords/penalty-function","display_name":"penalty method","score":0.8090000152587891},{"id":"https://openalex.org/keywords/overfitting","display_name":"overfitting","score":0.7900000214576721},{"id":"https://openalex.org/keywords/time-gap","display_name":"time gap","score":0.7080000042915344},{"id":"https://openalex.org/keywords/landsat-surface-reflectance","display_name":"Landsat surface reflectance","score":0.8199999928474426},{"id":"https://openalex.org/keywords/change-detection","display_name":"change detection","score":0.8669999837875366},{"id":"https://openalex.org/keywords/land-cover-classification","display_name":"land cover classification","score":0.8339999914169312},{"id":"https://openalex.org/keywords/short-time-series","display_name":"short time series","score":0.7459999918937683}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6470151543617249},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6412345767021179},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5523008704185486},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.45834824442863464},{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.44399213790893555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43853485584259033},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4289630353450775},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.41567161679267883},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4131316840648651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31858038902282715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13466450572013855},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11507716774940491},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07561856508255005},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.isprsjprs.2022.01.006","doi":"https://doi.org/10.1016/j.isprsjprs.2022.01.006","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.isprsjprs.2022.01.006","pdf_url":null,"source":{"id":"https://openalex.org/S173339282","display_name":"ISPRS Journal of Photogrammetry and Remote Sensing","issn_l":"0924-2716","issn":["0924-2716","1872-8235"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","jufo-2","norway-1","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS Journal of Photogrammetry and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.isprsjprs.2022.01.006","doi":"https://doi.org/10.1016/j.isprsjprs.2022.01.006","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.isprsjprs.2022.01.006","pdf_url":null,"source":{"id":"https://openalex.org/S173339282","display_name":"ISPRS Journal of Photogrammetry and Remote Sensing","issn_l":"0924-2716","issn":["0924-2716","1872-8235"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","jufo-2","norway-1","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS Journal of Photogrammetry and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Life on land","id":"https://metadata.un.org/sdg/15","score":0.4099999964237213}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1539592020","https://openalex.org/W1834239181","https://openalex.org/W1968718753","https://openalex.org/W1982121855","https://openalex.org/W1987557628","https://openalex.org/W2017657457","https://openalex.org/W2020402473","https://openalex.org/W2030851497","https://openalex.org/W2035617489","https://openalex.org/W2038215949","https://openalex.org/W2055718260","https://openalex.org/W2069276699","https://openalex.org/W2069407401","https://openalex.org/W2086620533","https://openalex.org/W2098418965","https://openalex.org/W2117490284","https://openalex.org/W2129331467","https://openalex.org/W2135046866","https://openalex.org/W2140908571","https://openalex.org/W2176238593","https://openalex.org/W2387161162","https://openalex.org/W2548481085","https://openalex.org/W2612890152","https://openalex.org/W2725897987","https://openalex.org/W2771847609","https://openalex.org/W2788340823","https://openalex.org/W2793197903","https://openalex.org/W2811040116","https://openalex.org/W2897285410","https://openalex.org/W2902315112","https://openalex.org/W2905983018","https://openalex.org/W2916848715","https://openalex.org/W2918120629","https://openalex.org/W2920930972","https://openalex.org/W2922152173","https://openalex.org/W2965029620","https://openalex.org/W2965508366","https://openalex.org/W2967165937","https://openalex.org/W2998319958","https://openalex.org/W3006886688","https://openalex.org/W3007407753","https://openalex.org/W3080844061","https://openalex.org/W3113221786","https://openalex.org/W3122084549","https://openalex.org/W3172104521","https://openalex.org/W4205485607","https://openalex.org/W4234698323","https://openalex.org/W4294541781","https://openalex.org/W6799315710","https://openalex.org/W6910681941","https://openalex.org/W6967131366"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1515021623","https://openalex.org/W3155171010","https://openalex.org/W2119862467","https://openalex.org/W2069932138","https://openalex.org/W2023475031","https://openalex.org/W2075634219","https://openalex.org/W2527896606","https://openalex.org/W583826391","https://openalex.org/W1897191184"],"abstract_inverted_index":{"Harmonic":[0,74],"analysis":[1,25,81,389],"of":[2,64,82,107,123,202,207,227,248,308,313,321,390],"time":[3,45,85,110,136,166,181,204,228,236,251,264,332,338,349,365,391],"series":[4,111,137,167,182,237,252,265,333,366],"is":[5,26,52],"an":[6],"important":[7],"technique":[8],"to":[9,40,54,93],"reveal":[10],"seasonal":[11,36,360],"land":[12],"surface":[13,179],"dynamics":[14,37],"using":[15,164,177,234,317],"remote":[16],"sensing":[17],"information.":[18],"However,":[19],"frequency":[20],"selection":[21],"in":[22,44,97,109,199,311],"the":[23,48,98,104,116,121,124,128,133,170,203,239,303,318,327],"harmonic":[24,80,388],"often":[27],"difficult":[28],"because":[29,63],"high-frequency":[30],"components":[31],"are":[32],"useful":[33],"for":[34,79,330,347,355,364,387],"delineating":[35],"but":[38,277],"sensitive":[39],"noise":[41],"and":[42,127,135,156,159,190,219,225,238,298,379],"gaps":[43,362],"series.":[46,86,229,350,392],"On":[47],"other":[49,280,384],"hand,":[50],"it":[51],"challenging":[53],"obtain":[55],"temporally":[56],"continuous":[57],"satellite":[58],"data":[59,168],"with":[60,112,142,161,256],"high":[61],"quality":[62],"atmospheric":[65],"contamination.":[66],"We":[67,87,139],"developed":[68],"a":[69,89,184,245,262],"novel":[70],"regression":[71,108,146,293,385],"method":[72],"named":[73],"Adaptive":[75],"Penalty":[76],"Operator":[77],"(HAPO)":[78],"unevenly":[83],"distributed":[84],"introduced":[88],"new":[90,117],"penalty":[91,118],"function":[92,119],"minimize":[94],"unexpected":[95],"fluctuations":[96],"model,":[99],"which":[100,200],"can":[101,375],"substantially":[102],"reduce":[103],"overfitting":[105],"issue":[106],"temporal":[113,286],"gaps.":[114,287],"Specifically,":[115],"minimizes":[120],"length":[122],"model":[125,134],"curve":[126],"value":[129],"range":[130],"difference":[131],"between":[132],"observations.":[138],"compared":[140],"HAPO":[141,187,216,243,278,301,325,374],"three":[143,281],"widely":[144],"used":[145],"methods":[147,176,233,272,282,294,343,386],"(OLS:":[148],"Ordinary":[149],"Least":[150,153],"Squares;":[151],"LASSO:":[152],"Absolute":[154],"Shrinkage":[155],"Selection":[157],"Operator;":[158],"Ridge)":[160],"different":[162],"scenarios":[163],"Landsat":[165,178],"across":[169],"United":[171],"States.":[172],"First,":[173],"we":[174,231,289],"evaluated":[175,232],"reflectance":[180,209],"within":[183],"single":[185],"year.":[186],"showed":[188,217,302],"small":[189,258],"consistent":[191,218,378],"monthly":[192],"Root":[193],"Mean":[194],"Square":[195],"Deviation":[196],"(RMSD)":[197],"values,":[198,276],"most":[201],"RMSD":[205,259,275],"values":[206],"predicted":[208],"were":[210,285],"less":[211,220,369],"than":[212,370,383],"0.04.":[213],"More":[214],"importantly,":[215],"bias":[221],"given":[222],"varying":[223],"density":[224],"irregularity":[226],"Second,":[230],"multi-year":[235],"result":[240],"suggested":[241],"that":[242,354,357,367],"was":[244,268],"better":[246],"predictor":[247],"relatively":[249],"short":[250,331],"(less":[253],"than4":[254],"years)":[255,267],"steady":[257],"values.":[260],"When":[261],"longer":[263],"(\u22654":[266],"used,":[269],"all":[270,309,342],"four":[271],"disclosed":[273],"similar":[274,345],"outperformed":[279],"when":[283,316],"there":[284],"Last,":[288],"preliminarily":[290],"tested":[291],"how":[292],"affected":[295],"change":[296,305,319],"detection":[297,306],"classification":[299],"accuracy.":[300],"highest":[304,328],"accuracy":[307,329,346],"tests":[310],"terms":[312],"F1":[314],"score":[315],"threshold":[320],"0.9999.":[322],"In":[323,340],"classification,":[324],"produced":[326],"segments":[334],"(one-":[335],"or":[336,363],"two-year":[337],"series).":[339],"contrast,":[341],"reached":[344],"5-year":[348],"These":[351],"results":[352,382],"suggest":[353],"areas":[356],"have":[358,368],"large":[359],"observation":[361],"4":[371],"years":[372],"records,":[373],"provide":[376],"more":[377],"accurate":[380],"analytical":[381]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}
