{"id":"https://openalex.org/W2548320112","doi":"https://doi.org/10.1109/igarss.2016.7729863","title":"An assessment of image features and random forest for land cover mapping over large areas using high resolution Satellite Image Time Series","display_name":"An assessment of image features and random forest for land cover mapping over large areas using high resolution Satellite Image Time Series","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2548320112","doi":"https://doi.org/10.1109/igarss.2016.7729863","mag":"2548320112"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5032732048","display_name":"Charlotte Pelletier","orcid":"https://orcid.org/0000-0002-4652-7778"},"institutions":[{"id":"https://openalex.org/I4210100083","display_name":"Centre d'\u00c9tudes Spatiales de la Biosph\u00e8re","ror":"https://ror.org/01225hq90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210100083","https://openalex.org/I4210131494","https://openalex.org/I4210148025","https://openalex.org/I4210166444","https://openalex.org/I4412460029"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"C. Pelletier","raw_affiliation_strings":["CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE"],"affiliations":[{"raw_affiliation_string":"CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE","institution_ids":["https://openalex.org/I4210100083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053178186","display_name":"Silvia Valero","orcid":"https://orcid.org/0000-0002-5001-9450"},"institutions":[{"id":"https://openalex.org/I4210100083","display_name":"Centre d'\u00c9tudes Spatiales de la Biosph\u00e8re","ror":"https://ror.org/01225hq90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210100083","https://openalex.org/I4210131494","https://openalex.org/I4210148025","https://openalex.org/I4210166444","https://openalex.org/I4412460029"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Valero","raw_affiliation_strings":["CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE"],"affiliations":[{"raw_affiliation_string":"CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE","institution_ids":["https://openalex.org/I4210100083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075135845","display_name":"Jordi Inglada","orcid":"https://orcid.org/0000-0001-6896-0049"},"institutions":[{"id":"https://openalex.org/I4210100083","display_name":"Centre d'\u00c9tudes Spatiales de la Biosph\u00e8re","ror":"https://ror.org/01225hq90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210100083","https://openalex.org/I4210131494","https://openalex.org/I4210148025","https://openalex.org/I4210166444","https://openalex.org/I4412460029"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Inglada","raw_affiliation_strings":["CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE"],"affiliations":[{"raw_affiliation_string":"CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE","institution_ids":["https://openalex.org/I4210100083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064988495","display_name":"G\u00e9rard Dedieu","orcid":"https://orcid.org/0000-0002-8383-6465"},"institutions":[{"id":"https://openalex.org/I4210100083","display_name":"Centre d'\u00c9tudes Spatiales de la Biosph\u00e8re","ror":"https://ror.org/01225hq90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210100083","https://openalex.org/I4210131494","https://openalex.org/I4210148025","https://openalex.org/I4210166444","https://openalex.org/I4412460029"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G. Dedieu","raw_affiliation_strings":["CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE"],"affiliations":[{"raw_affiliation_string":"CESBIO, UMR 5126, Toulouse CEDEX 9, FRANCE","institution_ids":["https://openalex.org/I4210100083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054725956","display_name":"Nicolas Champion","orcid":null},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"N. Champion","raw_affiliation_strings":["IGN Espace, Universit\u00e9 Paris-Est, Ramonville CEDEX, FRANCE"],"affiliations":[{"raw_affiliation_string":"IGN Espace, Universit\u00e9 Paris-Est, Ramonville CEDEX, FRANCE","institution_ids":["https://openalex.org/I2800365227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032732048"],"corresponding_institution_ids":["https://openalex.org/I4210100083"],"apc_list":null,"apc_paid":null,"fwci":1.5021,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83525033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3338","last_page":"3341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991000294685364,"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":0.9991000294685364,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9821000099182129,"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/land-cover","display_name":"Land cover","score":0.7430188655853271},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6516850590705872},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6475651264190674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.639430046081543},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6202912330627441},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5120342373847961},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4729844331741333},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.4711529016494751},{"id":"https://openalex.org/keywords/satellite-image","display_name":"Satellite image","score":0.46338972449302673},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4487815499305725},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4399200677871704},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.43510040640830994},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38851743936538696},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.36906254291534424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3641499876976013},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2664646506309509},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2115761935710907}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.7430188655853271},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6516850590705872},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6475651264190674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.639430046081543},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6202912330627441},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5120342373847961},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4729844331741333},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.4711529016494751},{"id":"https://openalex.org/C2985301230","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite image","level":3,"score":0.46338972449302673},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4487815499305725},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4399200677871704},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.43510040640830994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38851743936538696},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.36906254291534424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3641499876976013},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2664646506309509},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2115761935710907},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1526740462","https://openalex.org/W1913473885","https://openalex.org/W1974981350","https://openalex.org/W1985372952","https://openalex.org/W1990653740","https://openalex.org/W2118037698","https://openalex.org/W2132424470","https://openalex.org/W2138973222","https://openalex.org/W2151011640","https://openalex.org/W2155632266","https://openalex.org/W2911964244","https://openalex.org/W6610017368","https://openalex.org/W6631576663"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W3034574761","https://openalex.org/W174587118","https://openalex.org/W2206612814","https://openalex.org/W3118557097"],"abstract_inverted_index":{"New":[0],"high":[1,19],"resolution":[2,21],"Satellite":[3],"Image":[4],"Time":[5],"Series":[6],"(SITS)":[7],"are":[8,95],"becoming":[9],"crucial":[10],"to":[11,24,38,57],"land":[12],"cover":[13],"mapping":[14],"over":[15,79],"large":[16,80],"areas.":[17,81],"Their":[18],"temporal":[20],"will":[22,31],"allow":[23],"better":[25],"depict":[26],"scene":[27],"dynamics.":[28],"However,":[29],"it":[30],"also":[32],"increase":[33],"the":[34,53,74],"amount":[35],"of":[36,42,76],"data":[37,44,65],"process.":[39],"The":[40],"classification":[41],"these":[43,87],"involves":[45],"therefore":[46],"new":[47],"challenges":[48],"such":[49],"as:":[50],"(1)":[51],"selecting":[52],"best":[54],"feature":[55],"set":[56],"use":[58],"as":[59],"input":[60],"data,":[61],"(2)":[62],"dealing":[63],"with":[64],"variability":[66],"coming":[67],"from":[68],"landscape":[69],"diversity,":[70],"and":[71,100],"(3)":[72],"establishing":[73],"robustness":[75],"existing":[77],"classifiers":[78],"This":[82],"work":[83],"aims":[84],"at":[85],"addressing":[86],"questions":[88],"through":[89],"three":[90],"different":[91],"studies.":[92],"Experimental":[93],"results":[94],"obtained":[96],"by":[97],"using":[98],"SPOT-4":[99],"Landsat-8":[101],"SITS.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
