{"id":"https://openalex.org/W3130445925","doi":"https://doi.org/10.1109/igarss39084.2020.9324152","title":"Improvement of Soil Texture Classification with LiDAR Data","display_name":"Improvement of Soil Texture Classification with LiDAR Data","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3130445925","doi":"https://doi.org/10.1109/igarss39084.2020.9324152","mag":"3130445925"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5053637619","display_name":"Rory Pittman","orcid":"https://orcid.org/0000-0001-9820-4519"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"R. Pittman","raw_affiliation_strings":["York University, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011464681","display_name":"Baoxin Hu","orcid":"https://orcid.org/0000-0002-1858-6922"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"B. Hu","raw_affiliation_strings":["York University, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":0.3943,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60849167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"5018","last_page":"5021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9994999766349792,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9994999766349792,"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/T10889","display_name":"Soil erosion and sediment transport","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10716","display_name":"Soil and Unsaturated Flow","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/soil-texture","display_name":"Soil texture","score":0.8095046281814575},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7615064382553101},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6910833716392517},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5776775479316711},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5522213578224182},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.539521336555481},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.4947928786277771},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.4760867655277252},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.441289484500885},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.42511433362960815},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42498356103897095},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.41689956188201904},{"id":"https://openalex.org/keywords/soil-water","display_name":"Soil water","score":0.41462060809135437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.259943425655365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2519790530204773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.23164987564086914},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23104768991470337},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2265133559703827},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22468096017837524},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1373032033443451},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11248311400413513}],"concepts":[{"id":"https://openalex.org/C175963888","wikidata":"https://www.wikidata.org/wiki/Q5026010","display_name":"Soil texture","level":3,"score":0.8095046281814575},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7615064382553101},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6910833716392517},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5776775479316711},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5522213578224182},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.539521336555481},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.4947928786277771},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.4760867655277252},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.441289484500885},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.42511433362960815},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42498356103897095},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.41689956188201904},{"id":"https://openalex.org/C159750122","wikidata":"https://www.wikidata.org/wiki/Q96621023","display_name":"Soil water","level":2,"score":0.41462060809135437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.259943425655365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2519790530204773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.23164987564086914},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23104768991470337},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2265133559703827},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22468096017837524},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1373032033443451},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11248311400413513},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2024879482","https://openalex.org/W2033275656","https://openalex.org/W2034582204","https://openalex.org/W2089097786","https://openalex.org/W2112776483","https://openalex.org/W2116395914","https://openalex.org/W2186294614","https://openalex.org/W2465294102","https://openalex.org/W6631263138"],"related_works":["https://openalex.org/W2972753220","https://openalex.org/W2154180453","https://openalex.org/W2765920222","https://openalex.org/W2162298841","https://openalex.org/W2001618165","https://openalex.org/W2897516116","https://openalex.org/W2072715624","https://openalex.org/W3207316780","https://openalex.org/W3130445925","https://openalex.org/W2081397537"],"abstract_inverted_index":{"Models":[0],"for":[1,7,46,72,78,118,155,160],"the":[2,8,15,47,73,79,84,99,119,136,161],"prediction":[3],"of":[4,17,38,54,89,92,125,138],"soil":[5,32,74,120,139,156],"texture":[6,75,121,140,157],"Abitibi":[9],"River":[10],"Forest":[11],"(ARF)":[12],"region":[13],"in":[14,19],"District":[16],"Cochrane":[18],"Ontario,":[20],"Canada":[21],"were":[22,116,158],"created":[23],"from":[24,28],"environmental":[25,132],"covariates":[26,53],"generated":[27,159],"remotely-sensed":[29],"data":[30],"as":[31],"formation":[33],"factors.":[34],"A":[35],"novel":[36],"approach":[37],"incorporating":[39],"LiDAR":[40],"(Light":[41],"Detection":[42],"and":[43,59,65,95,105,127,147],"Ranging)":[44],"retrievals":[45],"entire":[48],"study":[49,163],"area":[50],"to":[51],"derive":[52],"canopy":[55],"height":[56],"model":[57],"(CHM)":[58],"gap":[60,66,96,128],"fraction":[61,67,97,129],"was":[62],"investigated.":[63],"CHM":[64,82,126],"had":[68],"high":[69],"variable":[70,87],"importance":[71],"models":[76],"fitted":[77],"region,":[80],"with":[81,109,130,142],"being":[83],"most":[85],"important":[86],"out":[88],"a":[90],"set":[91],"104":[93],"predictors,":[94],"among":[98],"top":[100],"predictors.":[101],"Random":[102],"forest":[103],"(RF)":[104],"support":[106],"vector":[107],"machine":[108],"radial":[110],"basis":[111],"functions":[112],"(SVM":[113],"Radial)":[114],"approaches":[115],"utilized":[117],"classification.":[122],"The":[123],"inclusion":[124],"other":[131],"predictors":[133],"improved":[134],"upon":[135],"accuracy":[137,143],"models,":[141],"scores":[144],"exceeding":[145],"0.7":[146],"Cohen's":[148],"kappa":[149],"greater":[150],"than":[151],"0.5.":[152],"Prediction":[153],"maps":[154],"ARF":[162],"region.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
