Resultado da Pesquisa
A expressão de busca foi <secondaryty ci and ref conference and not ref audio* and firstg COCST-COCST-INPE-MCTIC-GOV-BR and y 2020 and not is * and not booktitle, Resumo* and not booktitle, Abstracts>.
1 referência encontrada buscando em 17 dentre 17 Arquivos.
Data e hora local de busca: 20/04/2024 11:17.
1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/42E95MB
Repositóriosid.inpe.br/mtc-m21c/2020/05.04.12.06
Última Atualização2020:06.19.12.42.08 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2020/05.04.12.06.44
Última Atualização dos Metadados2022:01.04.01.35.06 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoBispoRZMCFBSARBPGRLBWSOB:2020:EsAbGr
TítuloEstimating the Above Ground Biomass of Brazilian Savanna using multi-sensor approach
Ano2020
Data de Acesso20 abr. 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho294 KiB
2. Contextualização
Autor 1 Bispo, Polyanna da Conceição
 2 Rodriguez-Veiga, Pedro
 3 Zimbres, Barbara
 4 Miranda, Sabrina de Couto
 5 Cezare, Cassio Henrique Giusti
 6 Fleming, Sam
 7 Baldacchino, Francesca
 8 Shimbo, Julia Zanin
 9 Alencar, Ane Auxiliadora Costa
10 Roitman, Iris
11 Bustamante, Mercedes
12 Pacheco-Pascagaza, Ana Maria
13 Gou, Yaqing
14 Roberts, John
15 Louis, Valentin
16 Barret, Kirsten
17 Woodhouse, Iain
18 Sousa Neto, Eráclito Rodrigues de
19 Ometto, Jean Pierre Henry Balbaud
20 Balzter, Heiko
ORCID 1 0000-0003-0247-8449
Grupo 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18 COCST-COCST-INPE-MCTIC-GOV-BR
19 COCST-COCST-INPE-MCTIC-GOV-BR
Afiliação 1 University of Manchester
 2 University of Leicester
 3 Instituto de Pesquisa Ambiental da Amazônia (IPAM)
 4 Universidade Estadual de Goiás (UEG)
 5 Universidade Federal de Goiás (UFG)
 6 Carbomap Ltd.
 7 Carbomap Ltd.
 8 Instituto de Pesquisa Ambiental da Amazônia (IPAM)
 9 Instituto de Pesquisa Ambiental da Amazônia (IPAM)
10 Universidade de Brasília (UnB)
11 Universidade de Brasília (UnB)
12 University of Leicester
13 University of Leicester
14 University of Leicester
15 University of Leicester
16 University of Leicester
17 Carbomap Ltd
18 Instituto Nacional de Pesquisas Espaciais (INPE)
19 Instituto Nacional de Pesquisas Espaciais (INPE)
20 University of Leicester
Endereço de e-Mail do Autor 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18 eraclito.neto@inpe.br
19 jean.ometto@inpe.br
Nome do EventoEGU General Assembly
Localização do EventoOnline
Data04-08 may
Histórico (UTC)2020-05-04 12:06:44 :: simone -> administrator ::
2020-05-04 15:25:04 :: administrator -> simone :: 2020
2020-06-19 12:42:08 :: simone -> administrator :: 2020
2022-01-04 01:35:06 :: administrator -> simone :: 2020
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoThe Brazilian Savanna, known as Cerrado (Cerrado sensu lato (s.l.)), is the second largest biome in South America. It comprises different physiognomies due to variations of soil, topography and human impacts. The gradients of tree density, tree height, above ground biomass (AGB) and wood species cover vary according to the Cerrado formation, ranging from different grassland formations (Campo limpo, campo sujo), savanna intermediary formations (Campo cerrado and Cerrado sensu stricto - s.s) and forest formations (Cerradão, Mata ciliar, Mata de galeria and Mata Seca). Although the carbon stock in Cerrado is lower than in the Brazilian Amazon, the conversion of this biome to other types of land use is occurring much faster. In the last ten years, the degradation of Cerrado forest was the second largest source of carbon emissions in Brazil. Therefore, effective methods for assessing and monitoring aboveground woody biomass and carbon stocks are needed. A multi-sensor Earth observation approach and machine learning techniques have shown potential for the large-scale characterization of Cerrado forest structure.The aim of this study is to present a method to estimate the AGB of an area of the Brazilian Cerrado using ALOS-PALSAR (L-band SAR), Landsat, LIDAR (LIght Detection And Ranging) and field datasets. Field data consisted of 15 plots of 1 ha area located in Rio Vermelho watershed in Goiás-State (Brazil). We used a 2-step AGB estimation (i) from the field AGB using LIDAR metrics and (ii) from LIDAR-AGB to satellite Earth Observation scales following a Random Forest regression algorithm. The methodology to estimate ABG of Cerrado Stricto Sensu vegetation is part of the Forests 2020 project which is the largest investment by the UK Space Agency, as part of the International Partnerships Programme (IPP), to support in the improvement of the forest monitoring in six partner countries through advanced uses of satellite data.
ÁreaCST
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Estimating the Above...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 04/05/2020 09:06 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/42E95MB
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/42E95MB
Arquivo Alvobispo_estimating.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.19.20.40 1
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label language lineage mark mirrorrepository nextedition notes numberofvolumes organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume
7. Controle da descrição
e-Mail (login)simone
atualizar