{"id":"https://openalex.org/W2754384492","doi":"https://doi.org/10.1109/multi-temp.2017.8035216","title":"Detecting the spread of invasive species in central Chile with a Sentinel-2 time-series","display_name":"Detecting the spread of invasive species in central Chile with a Sentinel-2 time-series","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2754384492","doi":"https://doi.org/10.1109/multi-temp.2017.8035216","mag":"2754384492"},"language":"en","primary_location":{"id":"doi:10.1109/multi-temp.2017.8035216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/multi-temp.2017.8035216","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":"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/A5016864404","display_name":"Michael F\u00f6rster","orcid":"https://orcid.org/0000-0001-6689-5714"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Forster","raw_affiliation_strings":["Geoinformation in Environmental Planning Lab, Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geoinformation in Environmental Planning Lab, Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111661009","display_name":"Tobias Schmidt","orcid":"https://orcid.org/0009-0005-1194-5469"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Schmidt","raw_affiliation_strings":["Geoinformation in Environmental Planning Lab, Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geoinformation in Environmental Planning Lab, Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109710826","display_name":"Roman F. Wolf","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roman Wolf","raw_affiliation_strings":["Geoinformation in Environmental Planning Lab, Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geoinformation in Environmental Planning Lab, Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062331651","display_name":"Birgit Kleinschmit","orcid":"https://orcid.org/0000-0002-8494-0053"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Birgit Kleinschmit","raw_affiliation_strings":["Geoinformation in Environmental Planning Lab, Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geoinformation in Environmental Planning Lab, Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063873988","display_name":"Fabian Ewald Fassnacht","orcid":"https://orcid.org/0000-0003-1284-9573"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian E. Fassnacht","raw_affiliation_strings":["Institute for Geography and Geoecology, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Geography and Geoecology, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016035262","display_name":"Juli\u00e1n Cabezas","orcid":"https://orcid.org/0000-0002-5717-8489"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Julian Cabezas","raw_affiliation_strings":["Institute for Geography and Geoecology, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Geography and Geoecology, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007461436","display_name":"Teja Kattenborn","orcid":"https://orcid.org/0000-0001-7381-3828"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Teja Kattenborn","raw_affiliation_strings":["Institute for Geography and Geoecology, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Geography and Geoecology, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3396,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.81525441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991999864578247,"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":0.9991999864578247,"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9965000152587891,"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/pinus-radiata","display_name":"Pinus radiata","score":0.8418930768966675},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6526946425437927},{"id":"https://openalex.org/keywords/radiata","display_name":"Radiata","score":0.5321136116981506},{"id":"https://openalex.org/keywords/phenology","display_name":"Phenology","score":0.5283458828926086},{"id":"https://openalex.org/keywords/pinus-genus","display_name":"Pinus <genus>","score":0.49223199486732483},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4606016278266907},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37114065885543823},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.3671714663505554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3491438627243042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34307777881622314},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.32515907287597656},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.19696587324142456},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.19155487418174744},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.1908303201198578}],"concepts":[{"id":"https://openalex.org/C2776801807","wikidata":"https://www.wikidata.org/wiki/Q748888","display_name":"Pinus radiata","level":2,"score":0.8418930768966675},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6526946425437927},{"id":"https://openalex.org/C2778357721","wikidata":"https://www.wikidata.org/wiki/Q719268","display_name":"Radiata","level":3,"score":0.5321136116981506},{"id":"https://openalex.org/C51417038","wikidata":"https://www.wikidata.org/wiki/Q272737","display_name":"Phenology","level":2,"score":0.5283458828926086},{"id":"https://openalex.org/C2910048773","wikidata":"https://www.wikidata.org/wiki/Q1924659","display_name":"Pinus <genus>","level":2,"score":0.49223199486732483},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4606016278266907},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37114065885543823},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.3671714663505554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3491438627243042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34307777881622314},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.32515907287597656},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19696587324142456},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.19155487418174744},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.1908303201198578},{"id":"https://openalex.org/C2779862049","wikidata":"https://www.wikidata.org/wiki/Q132634","display_name":"Vigna","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/multi-temp.2017.8035216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/multi-temp.2017.8035216","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:freidok.uni-freiburg.de:276838","is_oa":false,"landing_page_url":"https://freidok.uni-freiburg.de/data/276838","pdf_url":null,"source":{"id":"https://openalex.org/S4306401057","display_name":"FreiDok plus (Universit\u00e4tsbibliothek Freiburg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I161046081","host_organization_name":"University of Freiburg","host_organization_lineage":["https://openalex.org/I161046081"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp). - (2017) , ISSN:","raw_type":"article_in_conference_proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.7799999713897705,"display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323458","display_name":"Universidad de Chile","ror":"https://ror.org/047gc3g35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1994042308","https://openalex.org/W1996721947","https://openalex.org/W2021164946","https://openalex.org/W2025745000","https://openalex.org/W2046773889","https://openalex.org/W2091219032","https://openalex.org/W2091996941","https://openalex.org/W2100903394","https://openalex.org/W2140908571","https://openalex.org/W2161336494","https://openalex.org/W2325728707","https://openalex.org/W2913356454","https://openalex.org/W6904753256"],"related_works":["https://openalex.org/W2622278931","https://openalex.org/W2018747274","https://openalex.org/W1984234067","https://openalex.org/W2185125191","https://openalex.org/W3155667603","https://openalex.org/W2030670737","https://openalex.org/W51902431","https://openalex.org/W2017668149","https://openalex.org/W2089972707","https://openalex.org/W982911482"],"abstract_inverted_index":{"The":[0,48,65,81],"presented":[1],"work":[2],"evaluates":[3],"the":[4,24,34,45,90,93,121,124,138,141],"potential":[5],"of":[6,33,73,92,101,110,117,123,140,151,160],"a":[7,53,70,114,133,148,157],"Sentinel-2":[8,41,118],"time-series":[9],"to":[10,88,98,156],"detect":[11],"Pinus":[12,94,161],"radiata":[13,95],"(Monterey":[14],"Pine)":[15],"invasions":[16],"in":[17,23,78],"endemic":[18],"Nothofagus":[19],"(Southern":[20],"Beeches)":[21],"forests":[22],"Maule":[25],"region,":[26],"central":[27],"Chile.":[28],"Suitable":[29],"cloud":[30],"free":[31],"images":[32,119],"phenological":[35],"cycle":[36],"were":[37,50,67],"selected":[38],"from":[39],"six":[40],"scenes":[42,49],"available":[43],"for":[44,59],"years":[46],"2016.":[47,80],"unmixed":[51],"using":[52],"non-negative":[54],"least":[55],"square":[56],"(nnls)":[57],"algorithm":[58],"different":[60],"landcover":[61],"components":[62],"per":[63],"pixel.":[64],"results":[66,82,142],"validated":[68],"with":[69],"SVM":[71],"classification":[72],"UAV-based":[74],"hyperspectral":[75],"mosaics":[76],"acquired":[77],"March":[79],"show":[83],"that":[84,147],"it":[85],"is":[86,143,154],"possible":[87],"map":[89],"coverage":[91],"class":[96],"up":[97],"an":[99],"accuracy":[100],"R":[102],"<sup":[103],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[104],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[105],"~":[106],"0.6":[107],"and":[108],"RMSE":[109],"~10":[111],"%.":[112],"Generally,":[113],"higher":[115],"number":[116],"increased":[120],"performance":[122],"model,":[125],"while":[126],"there":[127],"was":[128],"no":[129],"significant":[130],"dependency":[131],"on":[132],"specific":[134],"acquisition":[135],"date.":[136],"However,":[137],"variability":[139],"high,":[144],"which":[145],"indicates":[146],"careful":[149],"selection":[150],"multi-temporal":[152],"endmembers":[153],"crucial":[155],"successful":[158],"unmixing":[159],"radiata.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
