Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data

Detalhes bibliográficos
Autor(a) principal: PAOLO MOSER
Data de Publicação: 2018
Tipo de documento: Tese
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6337012
id BRCRIS_c4b0c4221a733b2fcfaf6d16f21e15b5
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
title Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
spellingShingle Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
forest inventory
inventário florestal
PAOLO MOSER
title_short Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
title_full Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
title_fullStr Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
title_full_unstemmed Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
title_sort Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
topic forest inventory
inventário florestal
publishDate 2018
format doctoralThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6337012
author_role author
author PAOLO MOSER
author_facet PAOLO MOSER
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/2530478080816147
dc.contributor.advisor1.fl_str_mv ALEXANDER CHRISTIAN VIBRANS
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/6063800901454053
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000000287895833
dc.publisher.none.fl_str_mv UNIVERSIDADE REGIONAL DE BLUMENAU
publisher.none.fl_str_mv UNIVERSIDADE REGIONAL DE BLUMENAU
instname_str UNIVERSIDADE REGIONAL DE BLUMENAU
dc.publisher.program.fl_str_mv ENGENHARIA AMBIENTAL
dc.description.course.none.fl_txt_mv ENGENHARIA AMBIENTAL
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESStatistical and computational methods of forest attribute estimation and classification based on remotely sensed dataStatistical and computational methods of forest attribute estimation and classification based on remotely sensed dataStatistical and computational methods of forest attribute estimation and classification based on remotely sensed dataStatistical and computational methods of forest attribute estimation and classification based on remotely sensed dataStatistical and computational methods of forest attribute estimation and classification based on remotely sensed dataStatistical and computational methods of forest attribute estimation and classification based on remotely sensed dataStatistical and computational methods of forest attribute estimation and classification based on remotely sensed dataforest inventory2018doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=6337012authorPAOLO MOSERhttp://lattes.cnpq.br/2530478080816147ALEXANDER CHRISTIAN VIBRANShttp://lattes.cnpq.br/6063800901454053https://orcid.org/0000000287895833UNIVERSIDADE REGIONAL DE BLUMENAUUNIVERSIDADE REGIONAL DE BLUMENAUUNIVERSIDADE REGIONAL DE BLUMENAUENGENHARIA AMBIENTALENGENHARIA AMBIENTALPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv MOSER, PAOLO. Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data. 2018. Tese.
dc.identifier.citation.fl_str_mv MOSER, PAOLO. Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data. 2018. Tese.
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