{"id":"https://openalex.org/W2765883684","doi":"https://doi.org/10.1109/whispers.2015.8075461","title":"Discrimination of peat swamp forest types with hyperspectral data","display_name":"Discrimination of peat swamp forest types with hyperspectral data","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2765883684","doi":"https://doi.org/10.1109/whispers.2015.8075461","mag":"2765883684"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2015.8075461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2015.8075461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5003942812","display_name":"Taichi Takayama","orcid":null},"institutions":[{"id":"https://openalex.org/I113974858","display_name":"Mitsubishi Research Institute (Japan)","ror":"https://ror.org/02vq4f039","country_code":"JP","type":"company","lineage":["https://openalex.org/I113974858","https://openalex.org/I1306287861"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taichi Takayama","raw_affiliation_strings":["Mitsubishi Research Institute, Inc., Japan","Research Center for Advanced Science and Technology, The University of Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Research Institute, Inc., Japan","institution_ids":["https://openalex.org/I113974858"]},{"raw_affiliation_string":"Research Center for Advanced Science and Technology, The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079977136","display_name":"Takashi Ohki","orcid":null},"institutions":[{"id":"https://openalex.org/I113974858","display_name":"Mitsubishi Research Institute (Japan)","ror":"https://ror.org/02vq4f039","country_code":"JP","type":"company","lineage":["https://openalex.org/I113974858","https://openalex.org/I1306287861"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Ohki","raw_affiliation_strings":["Mitsubishi Research Institute, Inc., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Research Institute, Inc., Japan","institution_ids":["https://openalex.org/I113974858"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109520887","display_name":"Tomomi Takeda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomomi Takeda","raw_affiliation_strings":["Japan Space Systems, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japan Space Systems, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2335,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65743404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9983999729156494,"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/T10555","display_name":"Fire effects on ecosystems","score":0.9886000156402588,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/swamp","display_name":"Swamp","score":0.7576581239700317},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7015990614891052},{"id":"https://openalex.org/keywords/biomass","display_name":"Biomass (ecology)","score":0.6101232171058655},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5909947752952576},{"id":"https://openalex.org/keywords/peat","display_name":"Peat","score":0.5726016759872437},{"id":"https://openalex.org/keywords/logging","display_name":"Logging","score":0.5104676485061646},{"id":"https://openalex.org/keywords/secondary-forest","display_name":"Secondary forest","score":0.47566455602645874},{"id":"https://openalex.org/keywords/ecological-succession","display_name":"Ecological succession","score":0.4749448597431183},{"id":"https://openalex.org/keywords/spatial-distribution","display_name":"Spatial distribution","score":0.4590069651603699},{"id":"https://openalex.org/keywords/disturbance","display_name":"Disturbance (geology)","score":0.4385799467563629},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42302432656288147},{"id":"https://openalex.org/keywords/agroforestry","display_name":"Agroforestry","score":0.3900015652179718},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.3668820858001709},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2914946675300598},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.23588016629219055},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14574089646339417},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07377398014068604}],"concepts":[{"id":"https://openalex.org/C79414745","wikidata":"https://www.wikidata.org/wiki/Q166735","display_name":"Swamp","level":2,"score":0.7576581239700317},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7015990614891052},{"id":"https://openalex.org/C115540264","wikidata":"https://www.wikidata.org/wiki/Q2945560","display_name":"Biomass (ecology)","level":2,"score":0.6101232171058655},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5909947752952576},{"id":"https://openalex.org/C53657456","wikidata":"https://www.wikidata.org/wiki/Q184624","display_name":"Peat","level":2,"score":0.5726016759872437},{"id":"https://openalex.org/C125620115","wikidata":"https://www.wikidata.org/wiki/Q845249","display_name":"Logging","level":2,"score":0.5104676485061646},{"id":"https://openalex.org/C133382796","wikidata":"https://www.wikidata.org/wiki/Q2140056","display_name":"Secondary forest","level":2,"score":0.47566455602645874},{"id":"https://openalex.org/C150117547","wikidata":"https://www.wikidata.org/wiki/Q188230","display_name":"Ecological succession","level":2,"score":0.4749448597431183},{"id":"https://openalex.org/C2777016058","wikidata":"https://www.wikidata.org/wiki/Q7574061","display_name":"Spatial distribution","level":2,"score":0.4590069651603699},{"id":"https://openalex.org/C2777601987","wikidata":"https://www.wikidata.org/wiki/Q5283581","display_name":"Disturbance (geology)","level":2,"score":0.4385799467563629},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42302432656288147},{"id":"https://openalex.org/C54286561","wikidata":"https://www.wikidata.org/wiki/Q397350","display_name":"Agroforestry","level":1,"score":0.3900015652179718},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.3668820858001709},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2914946675300598},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.23588016629219055},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14574089646339417},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07377398014068604},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2015.8075461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2015.8075461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W60310328","https://openalex.org/W1970111226","https://openalex.org/W2044465660","https://openalex.org/W2106530591","https://openalex.org/W2109255292","https://openalex.org/W2133481774","https://openalex.org/W2135046866"],"related_works":["https://openalex.org/W2390655568","https://openalex.org/W2356619293","https://openalex.org/W2352799931","https://openalex.org/W2177826566","https://openalex.org/W2184766664","https://openalex.org/W2048644521","https://openalex.org/W2526781485","https://openalex.org/W4391905089","https://openalex.org/W3043906476","https://openalex.org/W4367556236"],"abstract_inverted_index":{"In":[0,26,47,97],"tropical":[1],"peat":[2],"swamp":[3],"forest,":[4,43],"forest":[5,15,35,40,61,70,119],"fire":[6],"and":[7,41,68,81,104],"illegal":[8],"logging":[9],"are":[10],"major":[11],"problems,":[12],"which":[13],"cause":[14],"succession":[16],"from":[17,107],"grass":[18],"just":[19],"after":[20],"disturbance":[21],"to":[22,28,110],"completely":[23],"recovered":[24],"forest.":[25],"order":[27],"distinguish":[29],"each":[30],"recovering":[31],"stage,":[32],"discrimination":[33],"of":[34,55,78,84,126],"types,":[36],"such":[37],"as":[38],"primary":[39,67],"secondary":[42,69],"is":[44,53,94,128],"very":[45],"important.":[46],"general":[48],"cases,":[49],"a":[50,112],"pixel-based":[51,89],"classification":[52,93,121],"one":[54],"the":[56,76,82,88,92],"most":[57],"attractive":[58],"choices":[59],"for":[60,91],"monitoring.":[62],"However,":[63],"since":[64],"difference":[65],"between":[66,75],"comes":[71],"in":[72],"distribution":[73,125],"ratio":[74],"number":[77,83],"small-diameter":[79],"trees":[80],"large-diameter":[85],"trees,":[86],"only":[87],"approach":[90],"not":[95],"sufficient.":[96],"this":[98],"paper,":[99],"we":[100],"use":[101],"both":[102],"spectral":[103],"spatial":[105,124],"information":[106],"hyperspectral":[108],"data":[109],"develop":[111],"high":[113],"accurate":[114],"biomass":[115,127],"prediction":[116],"model.":[117],"Moreover,":[118],"type":[120],"scheme":[122],"considering":[123],"proposed.":[129]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}