{"id":"https://openalex.org/W2082930955","doi":"https://doi.org/10.1109/igarss.2014.6946608","title":"The assessment of data mining algorithms for modelling Savannah Woody cover using multi-frequency (X-, C- and L-band) synthetic aperture radar (SAR) datasets","display_name":"The assessment of data mining algorithms for modelling Savannah Woody cover using multi-frequency (X-, C- and L-band) synthetic aperture radar (SAR) datasets","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2082930955","doi":"https://doi.org/10.1109/igarss.2014.6946608","mag":"2082930955"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6946608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","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/A5004803712","display_name":"Laven Naidoo","orcid":"https://orcid.org/0000-0002-7091-0566"},"institutions":[{"id":"https://openalex.org/I21360634","display_name":"Council for Scientific and Industrial Research","ror":"https://ror.org/05j00sr48","country_code":"ZA","type":"funder","lineage":["https://openalex.org/I21360634"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Laven Naidoo","raw_affiliation_strings":["Ecosystem Earth Observation, CSIR, Pretoria, South Africa","Ecosystem Earth Observation, Natural Resources and the Environment, CSIR, Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Ecosystem Earth Observation, CSIR, Pretoria, South Africa","institution_ids":[]},{"raw_affiliation_string":"Ecosystem Earth Observation, Natural Resources and the Environment, CSIR, Pretoria, South Africa","institution_ids":["https://openalex.org/I21360634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085486002","display_name":"Renaud Mathieu","orcid":"https://orcid.org/0000-0001-8520-7358"},"institutions":[{"id":"https://openalex.org/I21360634","display_name":"Council for Scientific and Industrial Research","ror":"https://ror.org/05j00sr48","country_code":"ZA","type":"funder","lineage":["https://openalex.org/I21360634"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Renaud Mathieu","raw_affiliation_strings":["Ecosystem Earth Observation, CSIR, Pretoria, South Africa","Ecosystem Earth Observation, Natural Resources and the Environment, CSIR, Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Ecosystem Earth Observation, CSIR, Pretoria, South Africa","institution_ids":[]},{"raw_affiliation_string":"Ecosystem Earth Observation, Natural Resources and the Environment, CSIR, Pretoria, South Africa","institution_ids":["https://openalex.org/I21360634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037081105","display_name":"Russell Main","orcid":"https://orcid.org/0000-0003-1967-1122"},"institutions":[{"id":"https://openalex.org/I21360634","display_name":"Council for Scientific and Industrial Research","ror":"https://ror.org/05j00sr48","country_code":"ZA","type":"funder","lineage":["https://openalex.org/I21360634"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Russell Main","raw_affiliation_strings":["Ecosystem Earth Observation, CSIR, Pretoria, South Africa","Ecosystem Earth Observation, Natural Resources and the Environment, CSIR, Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Ecosystem Earth Observation, CSIR, Pretoria, South Africa","institution_ids":[]},{"raw_affiliation_string":"Ecosystem Earth Observation, Natural Resources and the Environment, CSIR, Pretoria, South Africa","institution_ids":["https://openalex.org/I21360634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031004986","display_name":"W. Kleynhans","orcid":"https://orcid.org/0000-0002-7046-7023"},"institutions":[{"id":"https://openalex.org/I21360634","display_name":"Council for Scientific and Industrial Research","ror":"https://ror.org/05j00sr48","country_code":"ZA","type":"funder","lineage":["https://openalex.org/I21360634"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Waldo Kleynhans","raw_affiliation_strings":["Remote Sensing Unit, Meraka Institute, Pretoria, South Africa","Remote Sensing Unit, Meraka Institute, CSIR, Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Unit, Meraka Institute, Pretoria, South Africa","institution_ids":[]},{"raw_affiliation_string":"Remote Sensing Unit, Meraka Institute, CSIR, Pretoria, South Africa","institution_ids":["https://openalex.org/I21360634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073853368","display_name":"Konrad Wessels","orcid":"https://orcid.org/0000-0003-0979-8496"},"institutions":[{"id":"https://openalex.org/I21360634","display_name":"Council for Scientific and Industrial Research","ror":"https://ror.org/05j00sr48","country_code":"ZA","type":"funder","lineage":["https://openalex.org/I21360634"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Konrad Wessels","raw_affiliation_strings":["Remote Sensing Unit, Meraka Institute, Pretoria, South Africa","Remote Sensing Unit, Meraka Institute, CSIR, Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Unit, Meraka Institute, Pretoria, South Africa","institution_ids":[]},{"raw_affiliation_string":"Remote Sensing Unit, Meraka Institute, CSIR, Pretoria, South Africa","institution_ids":["https://openalex.org/I21360634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035372982","display_name":"Gregory P. Asner","orcid":"https://orcid.org/0000-0001-7893-6421"},"institutions":[{"id":"https://openalex.org/I196817621","display_name":"Carnegie Institution for Science","ror":"https://ror.org/04jr01610","country_code":"US","type":"funder","lineage":["https://openalex.org/I196817621"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory P. Asner","raw_affiliation_strings":["Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA","Department of Global Ecology, Carnegie Institution for Science , Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA","institution_ids":["https://openalex.org/I196817621"]},{"raw_affiliation_string":"Department of Global Ecology, Carnegie Institution for Science , Stanford, CA, USA","institution_ids":["https://openalex.org/I196817621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046913086","display_name":"Brigitte Leblon","orcid":null},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Brigitte Leblon","raw_affiliation_strings":["Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, Canada"],"affiliations":[{"raw_affiliation_string":"Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, Canada","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5004803712"],"corresponding_institution_ids":["https://openalex.org/I21360634"],"apc_list":null,"apc_paid":null,"fwci":1.4561,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.81689601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"37","issue":null,"first_page":"1049","last_page":"1052"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9980999827384949,"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/T11880","display_name":"Forest ecology and management","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6921971440315247},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.6276755332946777},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6173754334449768},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6169036030769348},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.532621443271637},{"id":"https://openalex.org/keywords/woody-plant","display_name":"Woody plant","score":0.5264416933059692},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5254660844802856},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.46744999289512634},{"id":"https://openalex.org/keywords/tree-canopy","display_name":"Tree canopy","score":0.44645655155181885},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.41808706521987915},{"id":"https://openalex.org/keywords/coarse-woody-debris","display_name":"Coarse woody debris","score":0.41095849871635437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3237297534942627},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.25636953115463257},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25385522842407227},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.18482080101966858},{"id":"https://openalex.org/keywords/habitat","display_name":"Habitat","score":0.1074916422367096}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6921971440315247},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.6276755332946777},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6173754334449768},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6169036030769348},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.532621443271637},{"id":"https://openalex.org/C128758860","wikidata":"https://www.wikidata.org/wiki/Q757163","display_name":"Woody plant","level":2,"score":0.5264416933059692},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5254660844802856},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.46744999289512634},{"id":"https://openalex.org/C39807119","wikidata":"https://www.wikidata.org/wiki/Q1134228","display_name":"Tree canopy","level":3,"score":0.44645655155181885},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.41808706521987915},{"id":"https://openalex.org/C83873828","wikidata":"https://www.wikidata.org/wiki/Q1413705","display_name":"Coarse woody debris","level":3,"score":0.41095849871635437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3237297534942627},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.25636953115463257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25385522842407227},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.18482080101966858},{"id":"https://openalex.org/C185933670","wikidata":"https://www.wikidata.org/wiki/Q52105","display_name":"Habitat","level":2,"score":0.1074916422367096},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2014.6946608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6100000143051147,"display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320721","display_name":"Council of Scientific and Industrial Research, India","ror":"https://ror.org/021wm7p51"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1598813349","https://openalex.org/W1991341257","https://openalex.org/W2048120915","https://openalex.org/W2058154428","https://openalex.org/W2060375854","https://openalex.org/W2062979841","https://openalex.org/W2080588314","https://openalex.org/W2097993678","https://openalex.org/W2113249705","https://openalex.org/W2115393530","https://openalex.org/W2121394390","https://openalex.org/W2122284941","https://openalex.org/W2134826392","https://openalex.org/W2141823632","https://openalex.org/W2143834777","https://openalex.org/W2151554426","https://openalex.org/W2153390427","https://openalex.org/W2161548576","https://openalex.org/W2161830771","https://openalex.org/W2162543713","https://openalex.org/W2165466912","https://openalex.org/W2278912620","https://openalex.org/W4252909467","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W219462000","https://openalex.org/W3193043704","https://openalex.org/W3112879082","https://openalex.org/W2050697529","https://openalex.org/W1980564799","https://openalex.org/W2030517860","https://openalex.org/W2090188372","https://openalex.org/W2013746911","https://openalex.org/W3201883717","https://openalex.org/W2185750937"],"abstract_inverted_index":{"The":[0,185],"woody":[1,32,42,53,78,87,194],"component":[2],"in":[3,91,178],"African":[4,93],"Savannahs":[5],"provides":[6,187],"essential":[7],"ecosystem":[8],"services":[9],"such":[10],"as":[11],"fuel":[12],"wood":[13],"and":[14,115,126,138,202],"construction":[15],"timber":[16],"to":[17,59,71,168,180],"large":[18,74],"populations":[19],"of":[20,40,56,63,76,86,98,101,121,162],"rural":[21],"communities.":[22],"Woody":[23],"canopy":[24,33,88],"cover":[25,89,195],"(i.e.":[26],"the":[27,41,52,64,77,83,96,119,135,144,153,160,169,174,181],"percentage":[28],"area":[29],"occupied":[30],"by":[31,173],"or":[34],"CC)":[35],"is":[36,48],"a":[37,99],"key":[38],"parameter":[39],"component.":[43,79],"Synthetic":[44],"Aperture":[45],"Radar":[46],"(SAR)":[47],"effective":[49],"at":[50],"assessing":[51],"component,":[54],"because":[55],"its":[57],"capacity":[58,70],"image":[60],"within-canopy":[61],"properties":[62],"vegetation":[65],"while":[66],"offering":[67],"an":[68],"all-weather":[69],"map":[72],"relatively":[73],"extents":[75],"This":[80,131],"study":[81,132,186],"compared":[82],"modelling":[84,102,141],"accuracies":[85,151,171],"(CC),":[90],"South":[92],"Savannahs,":[94],"through":[95],"assessment":[97],"set":[100],"approaches":[103],"(Linear":[104],"Regression,":[105],"Support":[106],"Vector":[107],"Machines,":[108],"REPTree":[109,137],"decision":[110],"tree,":[111],"Artificial":[112],"Neural":[113],"Network":[114],"Random":[116],"Forest)":[117],"with":[118,147],"use":[120],"X-band":[122],"(TerraSAR-X),":[123],"C-band":[124],"(RADARSAT-2)":[125],"L-band":[127,163,175],"(ALOS":[128],"PALSAR)":[129],"datasets.":[130],"illustrated":[133,158],"that":[134,159],"ANN,":[136],"RF":[139],"non-parametric":[140],"algorithms":[142],"were":[143],"most":[145],"ideal":[146],"high":[148,170],"CC":[149],"prediction":[150],"throughout":[152],"different":[154],"scenarios.":[155],"Results":[156],"also":[157],"acquisition":[161],"data":[164,201],"be":[165],"prioritized":[166],"due":[167],"achieved":[172],"dataset":[176],"alone":[177],"comparison":[179],"individual":[182],"shorter":[183],"wavelengths.":[184],"promising":[188],"results":[189],"for":[190],"developing":[191],"regional":[192],"savannah":[193],"maps":[196],"using":[197],"limited":[198],"LiDAR":[199],"training":[200],"SAR":[203],"images.":[204]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"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"}
