{"id":"https://openalex.org/W1974004849","doi":"https://doi.org/10.1109/igarss.2013.6723785","title":"Evaluation of rule-based classifier for Landsat-based automated land cover mapping in South Africa","display_name":"Evaluation of rule-based classifier for Landsat-based automated land cover mapping in South Africa","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1974004849","doi":"https://doi.org/10.1109/igarss.2013.6723785","mag":"1974004849"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6723785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5014524509","display_name":"B.P. Salmon","orcid":"https://orcid.org/0000-0001-5722-3414"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"B.P. Salmon","raw_affiliation_strings":["Remote Sensing Research Unit, CSIR, South Africa","Remote Sensing Res. Unit, Meraka Inst., Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Research Unit, CSIR, South Africa","institution_ids":[]},{"raw_affiliation_string":"Remote Sensing Res. Unit, Meraka Inst., Pretoria, South Africa","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071284038","display_name":"K.J. Wessels","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K.J. Wessels","raw_affiliation_strings":["Remote Sensing Research Unit, CSIR, South Africa","Remote Sensing Res. Unit, Meraka Inst., Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Research Unit, CSIR, South Africa","institution_ids":[]},{"raw_affiliation_string":"Remote Sensing Res. Unit, Meraka Inst., Pretoria, South Africa","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047714792","display_name":"F. van den Bergh","orcid":"https://orcid.org/0000-0002-4935-514X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"F. van den Bergh","raw_affiliation_strings":["Remote Sensing Research Unit, CSIR, South Africa","Remote Sensing Res. Unit, Meraka Inst., Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Research Unit, CSIR, South Africa","institution_ids":[]},{"raw_affiliation_string":"Remote Sensing Res. Unit, Meraka Inst., Pretoria, South Africa","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016728359","display_name":"Karen Steenkamp","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Steenkamp","raw_affiliation_strings":["Remote Sensing Research Unit, CSIR, South Africa","Remote Sensing Res. Unit, Meraka Inst., Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Research Unit, CSIR, South Africa","institution_ids":[]},{"raw_affiliation_string":"Remote Sensing Res. Unit, Meraka Inst., Pretoria, South Africa","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031004986","display_name":"W. Kleynhans","orcid":"https://orcid.org/0000-0002-7046-7023"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"W. Kleynhans","raw_affiliation_strings":["Remote Sensing Research Unit, CSIR, South Africa","Remote Sensing Res. Unit, Meraka Inst., Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Research Unit, CSIR, South Africa","institution_ids":[]},{"raw_affiliation_string":"Remote Sensing Res. Unit, Meraka Inst., Pretoria, South Africa","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061269841","display_name":"Derick Swanepoel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Swanepoel","raw_affiliation_strings":["Remote Sensing Research Unit, CSIR, South Africa","Remote Sensing Res. Unit, Meraka Inst., Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Research Unit, CSIR, South Africa","institution_ids":[]},{"raw_affiliation_string":"Remote Sensing Res. Unit, Meraka Inst., Pretoria, South Africa","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033254735","display_name":"David P. Roy","orcid":"https://orcid.org/0000-0002-1347-0250"},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Roy","raw_affiliation_strings":["Geographic Information Science Center of Excellence, South Dakota State University, South Dakota, USA","\u2002Geographic Information Science Center of Excellence, South Dakota State University, Brookings, SD, USA"],"affiliations":[{"raw_affiliation_string":"Geographic Information Science Center of Excellence, South Dakota State University, South Dakota, USA","institution_ids":["https://openalex.org/I177156846"]},{"raw_affiliation_string":"\u2002Geographic Information Science Center of Excellence, South Dakota State University, Brookings, SD, USA","institution_ids":["https://openalex.org/I177156846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012632672","display_name":"V. Kovalskyy","orcid":null},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. Kovalskyy","raw_affiliation_strings":["Geographic Information Science Center of Excellence, South Dakota State University, South Dakota, USA","\u2002Geographic Information Science Center of Excellence, South Dakota State University, Brookings, SD, USA"],"affiliations":[{"raw_affiliation_string":"Geographic Information Science Center of Excellence, South Dakota State University, South Dakota, USA","institution_ids":["https://openalex.org/I177156846"]},{"raw_affiliation_string":"\u2002Geographic Information Science Center of Excellence, South Dakota State University, Brookings, SD, USA","institution_ids":["https://openalex.org/I177156846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5014524509"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3149,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65737195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"68","issue":null,"first_page":"4301","last_page":"4304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9897000193595886,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/land-cover","display_name":"Land cover","score":0.773622989654541},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7160142660140991},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5562072396278381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4976949989795685},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.4803701341152191},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42007002234458923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3860064446926117},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.34517747163772583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3310433030128479},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.294880211353302},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06703692674636841},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0662599503993988}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.773622989654541},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7160142660140991},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5562072396278381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4976949989795685},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.4803701341152191},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42007002234458923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3860064446926117},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.34517747163772583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3310433030128479},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.294880211353302},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06703692674636841},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0662599503993988},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2013.6723785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-article"},{"id":"pmh:oai:ecite.utas.edu.au:87153","is_oa":false,"landing_page_url":"http://ecite.utas.edu.au/87153","pdf_url":null,"source":{"id":"https://openalex.org/S4306401569","display_name":"eCite Digital Repository (University of Tasmania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I129801699","host_organization_name":"University of Tasmania","host_organization_lineage":["https://openalex.org/I129801699"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Refereed Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320316791","display_name":"Advanced Storage Research Consortium","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1510563419","https://openalex.org/W2014555541","https://openalex.org/W2079921704","https://openalex.org/W2112865076","https://openalex.org/W2121690928","https://openalex.org/W2124777595","https://openalex.org/W2157675604","https://openalex.org/W2321715271","https://openalex.org/W6630673464"],"related_works":["https://openalex.org/W3133615129","https://openalex.org/W2087854757","https://openalex.org/W2188959887","https://openalex.org/W2373152553","https://openalex.org/W4389201442","https://openalex.org/W2386169820","https://openalex.org/W604251607","https://openalex.org/W3170595163","https://openalex.org/W2156540855","https://openalex.org/W2005234362"],"abstract_inverted_index":{"This":[0,146],"study":[1],"investigated":[2],"the":[3,45,65,89,94,99,101,124,129,133,154,170,188,191],"automated":[4],"pre-processing":[5],"and":[6,34,42,160],"land":[7,70,115,119,181],"cover":[8,71,116,120,182],"classification":[9,185,202],"of":[10,25,31,48,53,132],"Landsat":[11,15,26,157,192],"data.":[12],"The":[13,51,73,118],"Web-enabled":[14],"Data":[16],"(WELD)":[17],"system":[18],"was":[19,61,140,148,167],"used":[20,122],"to":[21,28,69,91,109,112,150,180],"process":[22],"large":[23],"volumes":[24],"imagery":[27],"calibrated":[29],"top":[30],"atmosphere":[32],"reflectance":[33],"brightness":[35],"temperature":[36],"products":[37],"which":[38,81,139],"are":[39],"composited":[40],"temporally":[41],"mosaicked":[43],"for":[44],"KwaZulu-Natal":[46],"Province":[47],"South":[49,137],"Africa.":[50],"usefulness":[52],"an":[54,151],"Automatic":[55],"Spectral":[56],"Rule-base":[57],"Classifier":[58],"(ASRC)":[59],"approach":[60,147],"evaluated":[62],"by":[63,142],"relating":[64],"produced":[66],"spectral":[67,95,102,158,172,194],"categories":[68,103,173],"classes.":[72],"ASRC":[74,171],"method":[75],"uses":[76],"a":[77,177],"hierarchical":[78],"rule":[79],"set,":[80],"relies":[82],"on":[83,93],"universally":[84],"set":[85],"thresholds":[86],"derived":[87,161],"from":[88,128],"literature,":[90],"decide":[92],"category.":[96],"To":[97],"assess":[98],"performance,":[100],"were":[104,126],"treated":[105],"as":[106,163],"input":[107,164],"features":[108],"supervised":[110],"classifiers":[111],"optimally":[113],"assign":[114],"labels.":[117],"classes":[121,183],"in":[123,136,144],"experiments":[125,189],"obtained":[127],"official":[130],"map":[131],"Kwazulu-Natal":[134],"province":[135],"Africa,":[138],"generated":[141],"operators":[143],"2008.":[145],"compared":[149],"experiment":[152],"using":[153,190],"original":[155],"7":[156,193],"bands":[159,195],"indices":[162,197],"features.":[165],"It":[166],"found":[168],"that":[169],"did":[174,198],"not":[175],"provide":[176],"useful":[178],"translation":[179],"(45.5%":[184],"accuracy),":[186],"while":[187],"or":[196],"considerably":[199],"better":[200],"(82.7%":[201],"accuracy).":[203]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}