{"id":"https://openalex.org/W2536614239","doi":"https://doi.org/10.1109/jstars.2016.2615099","title":"Forest Change Detection by Using Point Clouds From Dense Image Matching Together With a LiDAR-Derived Terrain Model","display_name":"Forest Change Detection by Using Point Clouds From Dense Image Matching Together With a LiDAR-Derived Terrain Model","publication_year":2016,"publication_date":"2016-10-24","ids":{"openalex":"https://openalex.org/W2536614239","doi":"https://doi.org/10.1109/jstars.2016.2615099","mag":"2536614239"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2016.2615099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2016.2615099","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5019170233","display_name":"Daniela Ali-Sisto","orcid":null},"institutions":[{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Daniela Ali-Sisto","raw_affiliation_strings":["School of Forest Sciences, Faculty of Science and Forestry, University of Eastern Finland, Joensuu, Finland"],"affiliations":[{"raw_affiliation_string":"School of Forest Sciences, Faculty of Science and Forestry, University of Eastern Finland, Joensuu, Finland","institution_ids":["https://openalex.org/I175532246"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057544053","display_name":"Petteri Packal\u00e9n","orcid":"https://orcid.org/0000-0003-1804-0011"},"institutions":[{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Petteri Packalen","raw_affiliation_strings":["School of Forest Sciences, Faculty of Science and Forestry, University of Eastern Finland, Joensuu, Finland"],"affiliations":[{"raw_affiliation_string":"School of Forest Sciences, Faculty of Science and Forestry, University of Eastern Finland, Joensuu, Finland","institution_ids":["https://openalex.org/I175532246"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019170233"],"corresponding_institution_ids":["https://openalex.org/I175532246"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":3.5818,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.92185389,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":"3","first_page":"1197","last_page":"1206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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":1.0,"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":0.9987999796867371,"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":0.9984999895095825,"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/lidar","display_name":"Lidar","score":0.8405742645263672},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.7438830733299255},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.677021861076355},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6451048254966736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5961909294128418},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5696144104003906},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.5495874881744385},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.5266513824462891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4673146605491638},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.45433101058006287},{"id":"https://openalex.org/keywords/raised-relief-map","display_name":"Raised-relief map","score":0.4421175420284271},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.33148229122161865},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21227794885635376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1776486337184906},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12371531128883362},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1173015832901001}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8405742645263672},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.7438830733299255},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.677021861076355},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6451048254966736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5961909294128418},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5696144104003906},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5495874881744385},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.5266513824462891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4673146605491638},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.45433101058006287},{"id":"https://openalex.org/C99695388","wikidata":"https://www.wikidata.org/wiki/Q350514","display_name":"Raised-relief map","level":3,"score":0.4421175420284271},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33148229122161865},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21227794885635376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1776486337184906},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12371531128883362},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1173015832901001},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2016.2615099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2016.2615099","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G1337960168","display_name":null,"funder_award_id":"295341","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320310055","display_name":"It\u00e4-Suomen Yliopisto","ror":"https://ror.org/00cyydd11"},{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W131445668","https://openalex.org/W281295403","https://openalex.org/W1930004075","https://openalex.org/W1939619463","https://openalex.org/W1946682121","https://openalex.org/W1963579278","https://openalex.org/W1975347338","https://openalex.org/W1991691127","https://openalex.org/W1991866320","https://openalex.org/W1994508789","https://openalex.org/W1996325835","https://openalex.org/W1996938046","https://openalex.org/W1998869020","https://openalex.org/W1999601230","https://openalex.org/W2002350745","https://openalex.org/W2006286431","https://openalex.org/W2007012708","https://openalex.org/W2008361303","https://openalex.org/W2009435671","https://openalex.org/W2014915397","https://openalex.org/W2029169758","https://openalex.org/W2036798369","https://openalex.org/W2049452581","https://openalex.org/W2051691450","https://openalex.org/W2052481389","https://openalex.org/W2053154970","https://openalex.org/W2058815839","https://openalex.org/W2072721499","https://openalex.org/W2087278589","https://openalex.org/W2091084944","https://openalex.org/W2091939427","https://openalex.org/W2098919237","https://openalex.org/W2107429184","https://openalex.org/W2114336706","https://openalex.org/W2117248802","https://openalex.org/W2122450383","https://openalex.org/W2130464813","https://openalex.org/W2133029430","https://openalex.org/W2133109741","https://openalex.org/W2133160971","https://openalex.org/W2137341666","https://openalex.org/W2137933418","https://openalex.org/W2139679018","https://openalex.org/W2140023211","https://openalex.org/W2140899781","https://openalex.org/W2144650681","https://openalex.org/W2148639025","https://openalex.org/W2157026765","https://openalex.org/W2161273109","https://openalex.org/W2165114467","https://openalex.org/W2165577558","https://openalex.org/W2170171104","https://openalex.org/W2316147561","https://openalex.org/W3028891774","https://openalex.org/W4239024359","https://openalex.org/W4244102296","https://openalex.org/W4254780327","https://openalex.org/W6605421688","https://openalex.org/W6665272994"],"related_works":["https://openalex.org/W2594043982","https://openalex.org/W3036493597","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W4320725409","https://openalex.org/W2014835793","https://openalex.org/W2382137311","https://openalex.org/W2358448605","https://openalex.org/W2384793638","https://openalex.org/W4252605038"],"abstract_inverted_index":{"Recent":[0],"development":[1],"of":[2,10,23,34,63,68,75,79,104,226,233],"image":[3,13],"matching":[4,91],"algorithms":[5],"has":[6],"enabled":[7],"the":[8,32,61,66,73,89,113,120,131,149,166,178,182,189,195,200,224],"generation":[9],"highly":[11],"detailed":[12],"point":[14],"clouds":[15],"(IPCs)":[16],"from":[17,165],"aerial":[18,24],"stereo":[19],"images.":[20],"The":[21,163,237],"acquisition":[22],"images":[25],"is":[26],"typically":[27],"significantly":[28],"less":[29],"expensive":[30],"than":[31,56],"collection":[33],"light":[35],"detection":[36,67,225],"and":[37,81,92,122,143],"ranging":[38],"(LiDAR)":[39],"or":[40,117,139,186],"field":[41],"data.":[42,245],"IPCs":[43,64,84,220],"thus":[44],"provide":[45],"a":[46,102,204],"cost-effective":[47],"alternative":[48],"to":[49,156,159,176,240,243],"update":[50],"forest":[51,69],"resource":[52],"data":[53],"more":[54],"frequently":[55],"at":[57,211],"present.":[58],"We":[59],"evaluate":[60],"feasibility":[62],"in":[65,115,133,140,172,199,229],"changes":[70,100,191,197,228],"by":[71,87,129],"assessing":[72],"accuracy":[74,206],"automatic":[76,94],"IPC-based":[77,135],"classification":[78,205],"thinnings":[80],"clear":[82,208],"cuts.":[83],"were":[85,127,169,192],"created":[86,108],"using":[88],"semi-global":[90],"next-generation":[93],"terrain":[95,152],"extraction":[96],"algorithms.":[97],"To":[98],"predict":[99],"over":[101],"period":[103],"three":[105],"years,":[106],"we":[107,202],"difference":[109,114,132,167],"layers":[110,168],"which":[111],"displayed":[112],"height":[116,137,142],"volume":[118,144],"between":[119],"initial":[121],"subsequent":[123],"time":[124],"points.":[125],"These":[126],"constructed":[128],"calculating":[130],"either":[134],"canopy":[136],"models":[138,175],"IPC-derived":[141],"models.":[145],"In":[146,218],"this":[147],"process,":[148],"LiDAR-derived":[150],"digital":[151],"model":[153],"was":[154],"used":[155,171],"scale":[157],"heights":[158],"above":[160],"ground":[161],"level.":[162],"values":[164],"then":[170],"logistic":[173],"regression":[174],"classify":[177],"study":[179],"area":[180],"into":[181],"categories":[183],"ClearCut,":[184],"Thinning,":[185],"NoChange.":[187],"When":[188],"predicted":[190],"compared":[193],"with":[194],"true":[196],"verified":[198],"field,":[201],"obtained":[203],"for":[207,216,223],"cuts":[209],"98.6%":[210],"best,":[212],"but":[213,231],"only":[214],"24.1%":[215],"thinnings.":[217],"conclusion,":[219],"are":[221],"applicable":[222],"major":[227],"forests,":[230],"incapable":[232],"detecting":[234],"minor":[235],"changes.":[236],"same":[238],"seems":[239],"be":[241],"applied":[242],"LiDAR":[244]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
