{"id":"https://openalex.org/W2125700521","doi":"https://doi.org/10.1109/igarss.2007.4423812","title":"Utilization of neural networks for the estimation of aboveground forest biomass from Ikonos satellite image and multi-source geo-scientific data","display_name":"Utilization of neural networks for the estimation of aboveground forest biomass from Ikonos satellite image and multi-source geo-scientific data","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2125700521","doi":"https://doi.org/10.1109/igarss.2007.4423812","mag":"2125700521"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2007.4423812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423812","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":"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/A5048023561","display_name":"Pierre Migolet","orcid":"https://orcid.org/0000-0003-0313-3645"},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"P. Migolet","raw_affiliation_strings":["Facult\u00e9de foresterie, Universit\u00e9 de Moncton, Edmundston, NB, Canada","Univ. de Moncton, Edmundston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facult\u00e9de foresterie, Universit\u00e9 de Moncton, Edmundston, NB, Canada","institution_ids":["https://openalex.org/I154799132"]},{"raw_affiliation_string":"Univ. de Moncton, Edmundston","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112573562","display_name":"Lacina Coulibaly","orcid":"https://orcid.org/0000-0002-4780-5733"},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"L. Coulibaly","raw_affiliation_strings":["Facult\u00e9de foresterie, Universit\u00e9 de Moncton, Edmundston, NB, Canada","Facult\u00e9 de foresterie, Universit\u00e9 de Moncton, Campus d\u00bfEdmundston 165,boulevard Hebert, Edmundston, N.-B., E3V 2S8 Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facult\u00e9de foresterie, Universit\u00e9 de Moncton, Edmundston, NB, Canada","institution_ids":["https://openalex.org/I154799132"]},{"raw_affiliation_string":"Facult\u00e9 de foresterie, Universit\u00e9 de Moncton, Campus d\u00bfEdmundston 165,boulevard Hebert, Edmundston, N.-B., E3V 2S8 Canada","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111878825","display_name":"H. Ad\u00e9gbidi","orcid":null},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"H.G. Adegbidi","raw_affiliation_strings":["Facult\u00e9de foresterie, Universit\u00e9 de Moncton, Edmundston, NB, Canada","Facult\u00e9 de foresterie, Universit\u00e9 de Moncton, Campus d\u00bfEdmundston 165,boulevard Hebert, Edmundston, N.-B., E3V 2S8 Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facult\u00e9de foresterie, Universit\u00e9 de Moncton, Edmundston, NB, Canada","institution_ids":["https://openalex.org/I154799132"]},{"raw_affiliation_string":"Facult\u00e9 de foresterie, Universit\u00e9 de Moncton, Campus d\u00bfEdmundston 165,boulevard Hebert, Edmundston, N.-B., E3V 2S8 Canada","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038132345","display_name":"\u00c9ric Hervet","orcid":"https://orcid.org/0000-0002-3117-6506"},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"E. Hervet","raw_affiliation_strings":["D\u00e9partement dinformatique, Universit\u00e9 de Moncton","D\u00e9partement d\u00bfinformatique, Universit\u00e9 de Moncton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement dinformatique, Universit\u00e9 de Moncton","institution_ids":["https://openalex.org/I154799132"]},{"raw_affiliation_string":"D\u00e9partement d\u00bfinformatique, Universit\u00e9 de Moncton, Canada","institution_ids":["https://openalex.org/I154799132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.14958284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4339","last_page":"4342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9847000241279602,"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/biomass","display_name":"Biomass (ecology)","score":0.7110456228256226},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7082880735397339},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6550341844558716},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5810479521751404},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5287522673606873},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.48837774991989136},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.47442761063575745},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4702165424823761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4616173207759857},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4469093382358551},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3614842891693115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.24409914016723633},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.17713066935539246},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16936323046684265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13460129499435425},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13009348511695862},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12101110816001892},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07067036628723145}],"concepts":[{"id":"https://openalex.org/C115540264","wikidata":"https://www.wikidata.org/wiki/Q2945560","display_name":"Biomass (ecology)","level":2,"score":0.7110456228256226},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7082880735397339},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6550341844558716},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5810479521751404},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5287522673606873},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.48837774991989136},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.47442761063575745},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4702165424823761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4616173207759857},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4469093382358551},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3614842891693115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.24409914016723633},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.17713066935539246},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16936323046684265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13460129499435425},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13009348511695862},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12101110816001892},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07067036628723145},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2007.4423812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423812","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":[{"id":"https://metadata.un.org/sdg/15","score":0.7599999904632568,"display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313957","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29"},{"id":"https://openalex.org/F4320319980","display_name":"New Brunswick Innovation Foundation","ror":"https://ror.org/02rbgnh75"},{"id":"https://openalex.org/F4320323194","display_name":"North-West University","ror":"https://ror.org/010f1sq29"},{"id":"https://openalex.org/F4320334428","display_name":"University of Maryland Center for Environmental Science","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1935964389","https://openalex.org/W1966406940","https://openalex.org/W1997127130","https://openalex.org/W2044465660","https://openalex.org/W2056687277","https://openalex.org/W2059523177","https://openalex.org/W2078840559","https://openalex.org/W2090137677","https://openalex.org/W2094434658","https://openalex.org/W2108461742","https://openalex.org/W2150026442"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2729981612","https://openalex.org/W2102148524","https://openalex.org/W4233449973","https://openalex.org/W2358152617","https://openalex.org/W2411778156"],"abstract_inverted_index":{"The":[0],"present":[1],"study":[2],"develops":[3],"an":[4],"approach":[5,90,128],"for":[6,55,61,70,97,107,142],"the":[7,38,46,71,86,93,108,125,137],"estimation":[8,32],"of":[9,28,42,45,58,68,77,80,103,136,145],"aboveground":[10,29],"forest":[11,30],"biomass":[12,31,49,81,121],"based":[13],"on":[14],"neural":[15,39,47,94,126],"networks,":[16,95],"using":[17],"Ikonos":[18],"satellite":[19],"image":[20],"data":[21],"and":[22,37],"multi-source":[23],"geo-scientific":[24],"data.":[25],"Two":[26],"methods":[27],"were":[33,51,83,129],"compared:":[34],"multiple":[35,88,139],"regressions":[36,140],"networks.":[40],"Percentages":[41,76],"residual":[43,78],"errors":[44,79],"networks":[48,127],"estimates":[50,82,122,135],"lower":[52,130],"than":[53,91,131],"1%":[54],"all":[56,143],"groups":[57,144],"species,":[59],"except":[60],"\"intolerant":[62,98],"hardwood\"":[63,99],"which":[64],"had":[65],"a":[66,101],"percentage":[67],"3.2%":[69],"9-18":[72],"cm":[73,110],"DBH":[74,111],"class.":[75,112],"higher":[84],"with":[85,92,134],"quadratic":[87,138],"regression":[89],"particularly":[96],"where":[100],"value":[102],"51.41%":[104],"was":[105],"observed":[106],"19-40+":[109],"Root":[113],"mean":[114],"square":[115],"error":[116],"values":[117],"(RMSE)":[118],"calculated":[119],"from":[120,124],"resulting":[123],"those":[132],"computed":[133],"model,":[141],"species.":[146]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
