{"id":"https://openalex.org/W2095708250","doi":"https://doi.org/10.1109/multi-temp.2013.6866009","title":"A conceptual approach for the impact of the day of observation of image composites on time series generation","display_name":"A conceptual approach for the impact of the day of observation of image composites on time series generation","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2095708250","doi":"https://doi.org/10.1109/multi-temp.2013.6866009","mag":"2095708250"},"language":"en","primary_location":{"id":"doi:10.1109/multi-temp.2013.6866009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/multi-temp.2013.6866009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MultiTemp 2013: 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images","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/A5009612605","display_name":"Ren\u00e9 R. Colditz","orcid":"https://orcid.org/0000-0002-6431-3183"},"institutions":[{"id":"https://openalex.org/I4210105983","display_name":"National Commission for the Knowledge and Use of Biodiversity","ror":"https://ror.org/01g53pj53","country_code":"MX","type":"government","lineage":["https://openalex.org/I2891076039","https://openalex.org/I4210105983"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Rene R. Colditz","raw_affiliation_strings":["National Commission for the Knowledge and Use of Biodiversity (CONABIO), D.F., Mexico","Nat. Comm. for the Knowledge & Use of Biodiversity (CONABIO), Mexico City, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Commission for the Knowledge and Use of Biodiversity (CONABIO), D.F., Mexico","institution_ids":["https://openalex.org/I4210105983"]},{"raw_affiliation_string":"Nat. Comm. for the Knowledge & Use of Biodiversity (CONABIO), Mexico City, Mexico","institution_ids":["https://openalex.org/I4210105983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5009612605"],"corresponding_institution_ids":["https://openalex.org/I4210105983"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19288256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"67","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998999834060669,"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":0.9998999834060669,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9944000244140625,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9883999824523926,"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/compositing","display_name":"Compositing","score":0.9140481948852539},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7088821530342102},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6362427473068237},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.5782372355461121},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.45668426156044006},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4425642788410187},{"id":"https://openalex.org/keywords/present-day","display_name":"Present day","score":0.4297243058681488},{"id":"https://openalex.org/keywords/day-to-day","display_name":"Day to day","score":0.4283641576766968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.372936874628067},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.35563570261001587},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.339909166097641},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30884209275245667},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18867918848991394},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18508118391036987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1484985649585724},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10510757565498352},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10335442423820496},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08845165371894836}],"concepts":[{"id":"https://openalex.org/C129315195","wikidata":"https://www.wikidata.org/wiki/Q1121886","display_name":"Compositing","level":3,"score":0.9140481948852539},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7088821530342102},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6362427473068237},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.5782372355461121},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.45668426156044006},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4425642788410187},{"id":"https://openalex.org/C2779383114","wikidata":"https://www.wikidata.org/wiki/Q17134047","display_name":"Present day","level":2,"score":0.4297243058681488},{"id":"https://openalex.org/C2992982683","wikidata":"https://www.wikidata.org/wiki/Q5242987","display_name":"Day to day","level":2,"score":0.4283641576766968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.372936874628067},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.35563570261001587},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.339909166097641},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30884209275245667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18867918848991394},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18508118391036987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1484985649585724},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10510757565498352},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10335442423820496},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08845165371894836},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/multi-temp.2013.6866009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/multi-temp.2013.6866009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MultiTemp 2013: 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W28693142","https://openalex.org/W1974047452","https://openalex.org/W2000285770","https://openalex.org/W2000497066","https://openalex.org/W2034537637","https://openalex.org/W2043839818","https://openalex.org/W2066374706","https://openalex.org/W2069276699","https://openalex.org/W2069882289","https://openalex.org/W2095114548","https://openalex.org/W2098059510","https://openalex.org/W2112278810","https://openalex.org/W2113410727","https://openalex.org/W2113503197","https://openalex.org/W2116888634","https://openalex.org/W2122460654","https://openalex.org/W2125144297","https://openalex.org/W2147055881","https://openalex.org/W2164287959","https://openalex.org/W2165514703","https://openalex.org/W2316343265","https://openalex.org/W6678096030"],"related_works":["https://openalex.org/W564244383","https://openalex.org/W2414909161","https://openalex.org/W619053696","https://openalex.org/W633736548","https://openalex.org/W4398160693","https://openalex.org/W2280012423","https://openalex.org/W2896364006","https://openalex.org/W2739544853","https://openalex.org/W3122134048","https://openalex.org/W2182312001"],"abstract_inverted_index":{"To":[0],"eliminate":[1],"atmospheric":[2],"disturbances":[3],"and":[4,36,58,125,130],"sensor":[5],"malfunctions":[6],"many":[7],"remote":[8],"sensing":[9],"products":[10],"are":[11,86],"offered":[12],"in":[13,30,114,127,141],"form":[14],"of":[15,70,96,106,132,146,161,183,191],"composites":[16,105],"that":[17,91,177],"combine":[18],"multiple":[19],"observations":[20,28],"over":[21],"a":[22,45,89,111,151],"defined":[23],"period.":[24],"However,":[25,173],"selecting":[26],"specific":[27,55],"result":[29],"varying":[31],"interval":[32],"lengths":[33],"which":[34,165],"affect":[35],"limit":[37],"time":[38,62,84,142,175],"series":[39,85,90,176],"analysis":[40],"techniques.":[41],"This":[42],"study":[43],"provides":[44],"conceptual":[46],"view":[47],"on":[48,61],"the":[49,65,71,77,93,138,158,162,170,181],"possibilities":[50],"to":[51,88,136],"use":[52],"or":[53,67],"define":[54],"composite":[56],"days":[57,149],"its":[59],"impact":[60],"series.":[63,143],"Often":[64],"starting":[66,159],"final":[68],"day":[69,79,95,160,182],"compositing":[72,163],"period":[73],"is":[74,154,166],"selected,":[75],"alternatively":[76],"middle":[78,171],"may":[80],"be":[81,186],"chosen.":[82],"These":[83],"compared":[87],"considers":[92],"actual":[94],"observation.":[97],"An":[98],"experimental":[99],"exercise":[100],"employs":[101],"16-day":[102],"MODIS":[103],"VI":[104],"1000m":[107],"spatial":[108],"resolution":[109],"for":[110,188],"1100\u00d7500km":[112],"region":[113],"central":[115],"Mexico.":[116],"Statistical":[117],"measures":[118],"such":[119],"as":[120],"temporal":[121,139,192],"cross-correlation,":[122],"harmonic":[123],"analysis,":[124],"difference":[126],"start,":[128],"center,":[129],"end":[131],"season":[133],"were":[134],"used":[135,187],"characterize":[137],"shift":[140,145],"A":[144],"approximately":[147],"seven":[148],"with":[150,168],"high":[152],"variability":[153],"introduced":[155],"when":[156],"using":[157],"period,":[164],"mitigated":[167],"assuming":[169],"day.":[172],"only":[174],"take":[178],"into":[179],"account":[180],"observation":[184],"can":[185],"correct":[189],"estimation":[190],"characteristics.":[193]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
