{"id":"https://openalex.org/W2157395385","doi":"https://doi.org/10.1109/igarss.2007.4423817","title":"Classification of forest stand considering shapes and sizes of tree crown calculated from high spatial resolution satellite image","display_name":"Classification of forest stand considering shapes and sizes of tree crown calculated from high spatial resolution satellite image","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2157395385","doi":"https://doi.org/10.1109/igarss.2007.4423817","mag":"2157395385"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2007.4423817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 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/A5075775173","display_name":"Ryotaro Komura","orcid":null},"institutions":[{"id":"https://openalex.org/I99501251","display_name":"National Institute Of Technology, Ishikawa College","ror":"https://ror.org/011srkg41","country_code":"JP","type":"education","lineage":["https://openalex.org/I99501251"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryotaro Komura","raw_affiliation_strings":["Electronics and Information Engineering Course, Ishikawa National College of Technology, Tsubata, Ishikawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Information Engineering Course, Ishikawa National College of Technology, Tsubata, Ishikawa, Japan","institution_ids":["https://openalex.org/I99501251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111560148","display_name":"K. Muramoto","orcid":null},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ken-ichiro Muramoto","raw_affiliation_strings":["Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Ishikawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Ishikawa, Japan","institution_ids":["https://openalex.org/I10091056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8089,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84237848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9853000044822693,"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"}},"topics":[{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9853000044822693,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9812999963760376,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9763000011444092,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6501840353012085},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5860414505004883},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5532512068748474},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.5157778263092041},{"id":"https://openalex.org/keywords/forest-inventory","display_name":"Forest inventory","score":0.5117997527122498},{"id":"https://openalex.org/keywords/crown","display_name":"Crown (dentistry)","score":0.502879798412323},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4870057702064514},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.46744856238365173},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.46234527230262756},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45558130741119385},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.395376056432724},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.36151355504989624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32452550530433655},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.24599647521972656},{"id":"https://openalex.org/keywords/forest-management","display_name":"Forest management","score":0.2358112335205078},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20437848567962646},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.16977226734161377},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.1528785228729248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13626804947853088}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6501840353012085},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5860414505004883},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5532512068748474},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.5157778263092041},{"id":"https://openalex.org/C147103442","wikidata":"https://www.wikidata.org/wiki/Q1423188","display_name":"Forest inventory","level":3,"score":0.5117997527122498},{"id":"https://openalex.org/C2778400979","wikidata":"https://www.wikidata.org/wiki/Q143720","display_name":"Crown (dentistry)","level":2,"score":0.502879798412323},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4870057702064514},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.46744856238365173},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.46234527230262756},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45558130741119385},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.395376056432724},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.36151355504989624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32452550530433655},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.24599647521972656},{"id":"https://openalex.org/C28631016","wikidata":"https://www.wikidata.org/wiki/Q372561","display_name":"Forest management","level":2,"score":0.2358112335205078},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20437848567962646},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.16977226734161377},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.1528785228729248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13626804947853088},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2007.4423817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2098597910"],"related_works":["https://openalex.org/W3207046288","https://openalex.org/W3023446922","https://openalex.org/W4324030030","https://openalex.org/W1980260791","https://openalex.org/W4385533602","https://openalex.org/W3189212133","https://openalex.org/W4382239404","https://openalex.org/W2053086167","https://openalex.org/W4382519838","https://openalex.org/W2149267348"],"abstract_inverted_index":{"Forests":[0],"play":[1],"important":[2],"role":[3],"as":[4],"environment":[5],"for":[6,58,148,269],"living":[7],"things.":[8],"There":[9],"are":[10,72,78,92,100,176,186,193],"many":[11,43],"types":[12,99,138,276],"of":[13,19,60,63,85,97,112,123,136,139,151,184,199,220,227,250,277,284,288,300,305,308],"forest":[14,20,35,86,98,113,140,200,205,254,278,291],"stand":[15,114,255,279],"and":[16,26,41,164,182,190,218,224,244,248,286,298],"the":[17,29,81,121,146,149,197,216,267,303],"identification":[18],"type":[21,87,111,198,307],"is":[22,37,51,56],"available":[23,194],"to":[24,27,102,195],"conserve":[25],"improve":[28],"forest.":[30],"The":[31,45,54,75,234,275],"field":[32,46,70],"investigation":[33,47,59],"on":[34,48,66,89,120,252],"area":[36,50,62,68],"a":[38,116,253],"hard":[39],"work":[40],"needs":[42],"cost.":[44],"wide":[49,61],"almost":[52],"impossible.":[53],"remote-sensing":[55],"useful":[57],"forest,":[64],"especially":[65],"mountain":[67],"where":[69],"investigations":[71],"usually":[73],"laborious.":[74],"spectral":[76],"characteristics":[77,91,130],"different":[79,187],"by":[80,105,188,265],"species.":[82],"Many":[83],"classifications":[84],"based":[88],"spatial":[90,108,117,129,162,212,263,295,313],"operated.":[93],"But,":[94],"some":[95],"kinds":[96],"difficult":[101],"be":[103,142],"classified":[104,137,208,281,306],"using":[106,126,157,258,266,282,294,311],"only":[107,128,211,312],"characteristics.":[109],"Each":[110],"has":[115],"characteristic":[118],"depending":[119],"shape":[122],"trees.":[124,221,289],"By":[125],"not":[127,210],"but":[131,214],"also":[132,215],"tree":[133,152,170],"shapes,":[134],"number":[135,217,304],"can":[141],"increased.":[143],"We":[144],"developed":[145],"method":[147,268,293],"delineation":[150,271],"crown":[153,270],"with":[154,160,178,209,261,272],"image":[155,226],"processing":[156],"satellite":[158],"images":[159,223,260],"high":[161,262],"resolution":[163,264],"aerial":[165],"photographs.":[166],"In":[167,202],"this":[168,203,232],"method,":[169],"crowns":[171],"that":[172],"have":[173],"similar":[174],"color":[175],"delineated":[177],"circles.":[179],"Densities,":[180],"size":[181],"numbers":[183,249,287,299],"trees":[185,251,301],"species,":[189],"these":[191],"information":[192,213],"classify":[196],"stand.":[201],"study,":[204],"stands":[206],"were":[207,229,256,280],"densities":[219,297],"Multi-spectral":[222],"pan":[225,259],"IKONOS":[228],"used":[230],"in":[231],"study.":[233],"NDVI":[235,285],"(Normalized":[236],"Difference":[237],"Vegetation":[238],"Index)":[239],"was":[240],"calculated":[241,257],"from":[242],"red":[243],"near-infrared":[245],"images.":[246],"Densities":[247],"circler":[273],"expression.":[274],"thresholds":[283],"A":[290],"classification":[292],"information,":[296],"increased":[302],"forests":[309],"than":[310],"information.":[314]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
