{"id":"https://openalex.org/W4405004564","doi":"https://doi.org/10.3390/rs16234538","title":"Classifying Serrated Tussock Cover from Aerial Imagery Using RGB Bands, RGB Indices, and Texture Features","display_name":"Classifying Serrated Tussock Cover from Aerial Imagery Using RGB Bands, RGB Indices, and Texture Features","publication_year":2024,"publication_date":"2024-12-04","ids":{"openalex":"https://openalex.org/W4405004564","doi":"https://doi.org/10.3390/rs16234538"},"language":"en","primary_location":{"id":"doi:10.3390/rs16234538","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234538","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/rs16234538","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109641610","display_name":"Daniel Pham","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Daniel Pham","raw_affiliation_strings":["Geospatial Science, School of Science, RMIT University, Melbourne 3000, Australia"],"affiliations":[{"raw_affiliation_string":"Geospatial Science, School of Science, RMIT University, Melbourne 3000, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050281033","display_name":"Deepak Gautam","orcid":"https://orcid.org/0000-0003-2852-4204"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Deepak Gautam","raw_affiliation_strings":["Geospatial Science, School of Science, RMIT University, Melbourne 3000, Australia"],"affiliations":[{"raw_affiliation_string":"Geospatial Science, School of Science, RMIT University, Melbourne 3000, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052209072","display_name":"Kathryn Sheffield","orcid":"https://orcid.org/0000-0003-2624-9739"},"institutions":[{"id":"https://openalex.org/I2801037857","display_name":"Government of Victoria","ror":"https://ror.org/02xvc5r05","country_code":"AU","type":"government","lineage":["https://openalex.org/I2801037857"]},{"id":"https://openalex.org/I4210113619","display_name":"Agriculture Victoria","ror":"https://ror.org/01mqx8q10","country_code":"AU","type":"government","lineage":["https://openalex.org/I4210113619"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kathryn Sheffield","raw_affiliation_strings":["Agriculture Victoria Research, Victorian Government Department of Energy, Environment and Climate Action, Bundoora 3083, Australia"],"affiliations":[{"raw_affiliation_string":"Agriculture Victoria Research, Victorian Government Department of Energy, Environment and Climate Action, Bundoora 3083, Australia","institution_ids":["https://openalex.org/I2801037857","https://openalex.org/I4210113619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050281033"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":4.5292,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.94004959,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"16","issue":"23","first_page":"4538","last_page":"4538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9968000054359436,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9939000010490417,"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/T13388","display_name":"Rangeland and Wildlife Management","score":0.984499990940094,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tussock","display_name":"Tussock","score":0.8226712942123413},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6668142080307007},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6262791156768799},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6252242922782898},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4877072274684906},{"id":"https://openalex.org/keywords/infestation","display_name":"Infestation","score":0.4592454731464386},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4324289560317993},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.40022480487823486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33321183919906616},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.32444649934768677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2928462624549866},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.21703723073005676},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.16028860211372375},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09200909733772278}],"concepts":[{"id":"https://openalex.org/C88776829","wikidata":"https://www.wikidata.org/wiki/Q2743290","display_name":"Tussock","level":2,"score":0.8226712942123413},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6668142080307007},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6262791156768799},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6252242922782898},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4877072274684906},{"id":"https://openalex.org/C2776451879","wikidata":"https://www.wikidata.org/wiki/Q1292038","display_name":"Infestation","level":2,"score":0.4592454731464386},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4324289560317993},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.40022480487823486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33321183919906616},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.32444649934768677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2928462624549866},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.21703723073005676},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.16028860211372375},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09200909733772278},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16234538","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234538","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ab44299b806d4970848ec30dc0649ed7","is_oa":true,"landing_page_url":"https://doaj.org/article/ab44299b806d4970848ec30dc0649ed7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 23, p 4538 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16234538","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234538","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W134915860","https://openalex.org/W365119913","https://openalex.org/W1565635109","https://openalex.org/W1765594597","https://openalex.org/W1999249490","https://openalex.org/W2002290084","https://openalex.org/W2011270889","https://openalex.org/W2015159529","https://openalex.org/W2038976302","https://openalex.org/W2044465660","https://openalex.org/W2053154970","https://openalex.org/W2064636932","https://openalex.org/W2066416082","https://openalex.org/W2077138097","https://openalex.org/W2081286693","https://openalex.org/W2084586151","https://openalex.org/W2086296514","https://openalex.org/W2096996101","https://openalex.org/W2101234009","https://openalex.org/W2107155781","https://openalex.org/W2107322863","https://openalex.org/W2112458566","https://openalex.org/W2113446386","https://openalex.org/W2118978333","https://openalex.org/W2131305829","https://openalex.org/W2138973222","https://openalex.org/W2139086914","https://openalex.org/W2144362041","https://openalex.org/W2153257718","https://openalex.org/W2158698691","https://openalex.org/W2166516660","https://openalex.org/W2168964286","https://openalex.org/W2176709104","https://openalex.org/W2605658613","https://openalex.org/W2743449486","https://openalex.org/W2751262706","https://openalex.org/W2781910890","https://openalex.org/W2791120002","https://openalex.org/W2987546833","https://openalex.org/W3037933196","https://openalex.org/W3046886319","https://openalex.org/W3093239767","https://openalex.org/W3165807380","https://openalex.org/W3204067295","https://openalex.org/W4312597137","https://openalex.org/W4401818841","https://openalex.org/W6660137188","https://openalex.org/W6666487912","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2079222052","https://openalex.org/W1968620303","https://openalex.org/W3029906401","https://openalex.org/W2015806278","https://openalex.org/W1996025850","https://openalex.org/W2044341979","https://openalex.org/W3042871135","https://openalex.org/W1970391788","https://openalex.org/W3208707947","https://openalex.org/W2904940085"],"abstract_inverted_index":{"Monitoring":[0],"the":[1,12,59,62,78,108,136,145,152,212,225],"location":[2],"and":[3,35,74,89,96,130,140,159,172],"severity":[4],"of":[5,14,80,86,115,143,157,163,215],"invasive":[6,26,50],"plant":[7,51],"infestations":[8],"is":[9,46],"critical":[10],"to":[11,29,39,106,210],"management":[13],"their":[15,112],"spread.":[16],"Remote":[17],"sensing":[18],"can":[19,203],"be":[20,204],"an":[21,155],"effective":[22,192],"tool":[23],"for":[24,76,196,206],"mapping":[25],"plants":[27],"due":[28],"its":[30],"capture":[31],"speed,":[32],"continuous":[33],"coverage,":[34],"low":[36,173],"cost,":[37],"compared":[38],"ground-based":[40],"surveys.":[41],"Serrated":[42],"tussock":[43,82,217],"(Nassella":[44],"trichotoma)":[45],"a":[47,70,84,141,160,166],"highly":[48],"problematic":[49],"in":[52,61,83,223],"Victoria,":[53],"Australia,":[54],"as":[55],"it":[56,65],"competes":[57],"with":[58,170,182],"species":[60],"communities":[63],"that":[64],"invades.":[66],"In":[67],"this":[68],"study,":[69],"workflow":[71],"was":[72],"developed":[73,199],"assessed":[75],"classifying":[77],"cover":[79],"serrated":[81,116,216],"mix":[85],"grazing":[87],"pastures":[88],"grasslands.":[90],"Using":[91],"high-resolution":[92],"RGB":[93],"aerial":[94],"imagery":[95],"vegetation":[97],"field":[98],"survey":[99],"plots,":[100],"random":[101,119,200],"forest":[102,120,201],"models":[103],"were":[104,122,176],"trained":[105,123,149],"classify":[107],"plots":[109,181],"based":[110],"on":[111,150],"fractional":[113],"coverage":[114],"tussock.":[117],"Three":[118],"classifiers":[121],"by":[124],"utilising":[125],"spectral":[126,194],"features":[127,133,153,189,195],"(RGB":[128],"bands":[129],"indices),":[131],"texture":[132,188],"derived":[134],"from":[135],"Grey-Level":[137],"Co-occurrence":[138],"Matrix,":[139],"combination":[142],"all":[144,151],"features.":[146],"The":[147,198],"model":[148,202],"achieved":[154],"overallaccuracy":[156],"67%":[158],"kappa":[161],"score":[162],"0.52":[164],"against":[165],"validation":[167],"dataset.":[168],"Plots":[169],"high":[171],"infestation":[174],"levels":[175],"classified":[177,208],"more":[178,191],"accurately":[179],"than":[180,193],"moderate":[183],"or":[184],"no":[185],"infestation.":[186,226],"Notably,":[187],"proved":[190],"classification.":[197],"used":[205],"producing":[207],"maps":[209],"depict":[211],"spatial":[213],"distribution":[214],"infestation,":[218],"thus":[219],"supporting":[220],"land":[221],"managers":[222],"managing":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-07T14:57:38.498316","created_date":"2025-10-10T00:00:00"}
