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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/45U858N
Repositóriosid.inpe.br/plutao/2021/12.09.14.40.32
Última Atualização2021:12.13.19.24.10 (UTC) lattes
Repositório de Metadadossid.inpe.br/plutao/2021/12.09.14.40.33
Última Atualização dos Metadados2022:04.04.04.50.17 (UTC) administrator
DOI10.3390/rs13244959
ISSN2072-4292
Rótulolattes: 5507769922001047 2 SouzaGalvKortAlme:2021:DaApDe
Chave de CitaçãoSouzaGalvKörtAlme:2021:DaApDe
TítuloOn a Data-Driven Approach for Detecting Disturbance in the Brazilian Savannas Using Time Series of Vegetation Indices
Ano2021
Data de Acesso23 jun. 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho8227 KiB
2. Contextualização
Autor1 Souza, Alana Almeida de
2 Galvão, Lênio Soares
3 Körting, Thales Sehn
4 Almeida, Cláudio Aparecido de
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHLF
ORCID1 0000-0003-1202-9444
Grupo1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
4 DIPE1-COGPI-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 aas.alana@gmail.com
2 lenio.galvao@hotmail.com
3 contato.tsk@gmail.com
4 almeidaclaudio68@gmail.com
RevistaRemote Sensing
Volume13
Número24
Páginas4959
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2021-12-09 15:51:16 :: lattes -> administrator :: 2021
2021-12-13 19:22:25 :: administrator -> lattes :: 2021
2021-12-16 17:44:46 :: lattes -> administrator :: 2021
2022-04-04 04:50:17 :: administrator -> simone :: 2021
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveCerrado
Disturbance
fire
Clearing
Vegetation Indices
CCDC
ResumoRemote sensing of disturbance in the savannas from Brazil is challenging, especially due to confounding effects of the vegetation phenology and natural soil exposure on the detection of clearing and fire events. In this study, we investigated the detection of disturbance over this global hotspot of biodiversity using seven vegetation indices (VIs) calculated from the Landsat time series (20172019) and the Continuous Change Detection and Classification (CCDC) algorithm. The selected VIs represented distinct biophysical characteristics of the savannas. We evaluated the effects of disturbance on these VIs and assessed the accuracy of CCDC-detection in 2019, considering individual VIs, ensemble VIs, and the type of disturbance (savanna clearing and fire). Finally, we analyzed the possible existence of seasonal patterns of disturbance in a study area located at the new agricultural frontier of the Cerrado biome. The results showed that the overall accuracy of CCDC detection of total disturbance ranged from 51.2% for the Green-Red Normalized Difference (GRND) to 65.9% for the Normalized Burn Ratio (NBR2). It increased to 71.2% for ensemble VIs, whose multivariate approach reduced the omission errors in the analysis when compared to the use of single VIs. For detecting events of savanna clearing and fire, the most important VIs used near-infrared and shortwave infrared reflectance bands on their formulations (NBR2, NBR, and Moisture Stress IndexMSI). The CCDC accuracy was generally higher for detecting clearing than for mapping burned areas. In contrast, the recorded date of disturbance occurrence was less precise for detecting clearing than for recording events caused by fire, especially due to the existence of some gradual processes of vegetation degradation until complete clearing. Our findings showed also the existence of a seasonal pattern of disturbance occurrence. Savanna clearing predominated in the transition from the rainy to the dry season (April to July) to open new areas for agriculture. It preceded most events of fire disturbance between August and October that occurred near the consolidated areas of agriculture and extended into the native vegetation areas. Results reinforce the importance of data-driven approaches for generating early warning alerts of disturbance in the Cerrado to be further checked in the field.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > On a Data-Driven...
Arranjo 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > On a Data-Driven...
Arranjo 3urlib.net > BDMCI > Fonds > Produção a partir de 2021 > COGPI > On a Data-Driven...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W/45U858N
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W/45U858N
Idiomaen
Arquivo Alvoalana_data.pdf
Grupo de Leitoresadministrator
lattes
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
8JMKD3MGPCW/46L2FGP
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.18.22.34 5
sid.inpe.br/mtc-m21/2012/07.13.14.53.28 1
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url usergroup
7. Controle da descrição
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