{"id":"https://openalex.org/W2754032171","doi":"https://doi.org/10.1109/multi-temp.2017.8035246","title":"Identifying crops in smallholder farms using time series of WorldView-2 images","display_name":"Identifying crops in smallholder farms using time series of WorldView-2 images","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2754032171","doi":"https://doi.org/10.1109/multi-temp.2017.8035246","mag":"2754032171"},"language":"en","primary_location":{"id":"doi:10.1109/multi-temp.2017.8035246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/multi-temp.2017.8035246","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":true,"oa_status":"green","oa_url":"https://ris.utwente.nl/ws/files/150900890/08035246.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075715085","display_name":"R. Zurita\u2010Milla","orcid":"https://orcid.org/0000-0002-1769-6310"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Raul Zurita-Milla","raw_affiliation_strings":["ITC \u2014 Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITC \u2014 Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082220927","display_name":"Emma Izquierdo\u2010Verdiguier","orcid":"https://orcid.org/0000-0003-2179-1262"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Emma Izquierdo-Verdiguier","raw_affiliation_strings":["Universiteit Twente, Enschede, Overijssel, NL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiteit Twente, Enschede, Overijssel, NL","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053690284","display_name":"R.A. de By","orcid":"https://orcid.org/0000-0002-8921-2960"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Rolf A. de By","raw_affiliation_strings":["ITC \u2014 Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITC \u2014 Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, Netherlands","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94624287"],"apc_list":null,"apc_paid":null,"fwci":7.3222,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.96667528,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"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":0.9947999715805054,"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":0.9947999715805054,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.76255202293396},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6488019227981567},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5989068150520325},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5855499505996704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.569648802280426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.500481367111206},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4307063817977905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4270879626274109},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.416747510433197},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3823831081390381},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3745567798614502},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3383098244667053},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18233221769332886},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11314544081687927}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.76255202293396},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6488019227981567},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5989068150520325},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5855499505996704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.569648802280426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.500481367111206},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4307063817977905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4270879626274109},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.416747510433197},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3823831081390381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3745567798614502},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3383098244667053},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18233221769332886},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11314544081687927}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/multi-temp.2017.8035246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/multi-temp.2017.8035246","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"},{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/b9cf36b0-64f0-4856-a1d6-ef74dfe090ae","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/b9cf36b0-64f0-4856-a1d6-ef74dfe090ae","pdf_url":"https://ris.utwente.nl/ws/files/150900890/08035246.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zurita-Milla, R, Izquierdo-Verdiguier, E & de By, R A 2017, Identifying crops in smallholder farms using time series of WorldView-2 images. in 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017). IEEE, Piscataway, NJ, 9th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, MultiTemp 2017, Bruges, Belgium, 26/06/17. https://doi.org/10.1109/Multi-Temp.2017.8035246","raw_type":"info:eu-repo/semantics/bookPart"},{"id":"pmh:oai:ris.utwente.nl:publications/b9cf36b0-64f0-4856-a1d6-ef74dfe090ae","is_oa":false,"landing_page_url":"http://ezproxy.utwente.nl:2048/login?url=https://webapps.itc.utwente.nl/library/2017/conf/zuritamilla_ide.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/b9cf36b0-64f0-4856-a1d6-ef74dfe090ae","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/b9cf36b0-64f0-4856-a1d6-ef74dfe090ae","pdf_url":"https://ris.utwente.nl/ws/files/150900890/08035246.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zurita-Milla, R, Izquierdo-Verdiguier, E & de By, R A 2017, Identifying crops in smallholder farms using time series of WorldView-2 images. in 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017). IEEE, Piscataway, NJ, 9th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, MultiTemp 2017, Bruges, Belgium, 26/06/17. https://doi.org/10.1109/Multi-Temp.2017.8035246","raw_type":"info:eu-repo/semantics/bookPart"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.7300000190734863,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2754032171.pdf","grobid_xml":"https://content.openalex.org/works/W2754032171.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W174200323","https://openalex.org/W1964217023","https://openalex.org/W2063623478","https://openalex.org/W2091888740","https://openalex.org/W2113410727","https://openalex.org/W2154741421","https://openalex.org/W2157760685","https://openalex.org/W2163410149","https://openalex.org/W2171730988","https://openalex.org/W3124677466","https://openalex.org/W4285719527","https://openalex.org/W6790284296","https://openalex.org/W7015697543"],"related_works":["https://openalex.org/W4388745254","https://openalex.org/W2889302474","https://openalex.org/W2980082554","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W1517228774","https://openalex.org/W2117019857","https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926"],"abstract_inverted_index":{"A":[0],"high":[1,32],"heterogeneity":[2],"in":[3,45,143],"farming":[4],"factors":[5],"(soils,":[6],"weather,":[7],"inputs,":[8],"practice)":[9],"characterizes":[10],"the":[11,41,63,67,87,90,93,102,105,130,144],"typical":[12],"smallholder":[13,46],"farm":[14,68],"landscapes":[15,47],"of":[16,30,66,74,92,104,132],"sub-Saharan":[17],"Africa.":[18],"This":[19,38],"complicates":[20],"automatic":[21],"classification":[22],"to":[23,61,100,117,136],"crop":[24,42,120],"when":[25],"using":[26,147],"only":[27],"spectral":[28],"information":[29,65],"very":[31],"spatial":[33],"resolution":[34],"image":[35],"time":[36],"series.":[37],"work":[39],"addresses":[40],"identification":[43],"problem":[44],"through":[48,77],"three":[49],"steps:":[50],"features":[51,75,88,133],"extraction,":[52],"feature":[53],"selection":[54,81],"and":[55,89,96],"classification.":[56],"Feature":[57,80],"extraction":[58],"is":[59,82,98,115],"used":[60],"exted":[62],"spatial-spectral":[64],"fields,":[69],"with":[70],"a":[71,111,119,148],"substantial":[72],"number":[73,131],"considered":[76],"cloud":[78],"computing.":[79],"based":[83],"on":[84],"correlation":[85],"between":[86],"labels":[91],"field's":[94],"crops":[95],"it":[97],"applied":[99,116],"reduce":[101],"dimensionality":[103],"data":[106],"without":[107],"lose":[108],"information.":[109],"Finally,":[110],"random":[112,149],"forest":[113,150],"classifier":[114],"identify":[118],"class":[121],"per":[122],"field.":[123],"Good":[124],"preliminary":[125],"results":[126],"were":[127],"obtained":[128],"reducing":[129],"from":[134],"1638":[135],"66.":[137],"The":[138],"overall":[139],"accuracy":[140],"achieves":[141],"80%":[142],"test":[145],"set":[146],"classifier.":[151]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
