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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/46DJB68
Repositóriosid.inpe.br/mtc-m21d/2022/02.23.18.01
Última Atualização2022:02.23.18.01.14 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2022/02.23.18.01.14
Última Atualização dos Metadados2023:01.04.16.24.24 (UTC) simone
DOI10.3390/rs14030736
ISSN2072-4292
Chave de CitaçãoGanemXRFOCCRDS:2022:MaSoAm
TítuloMapping South America's Drylands through Remote Sensing-A Review of the Methodological Trends and Current Challenges
Ano2022
MêsFeb.
Data de Acesso13 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2821 KiB
2. Contextualização
Autor 1 Ganem, Khalil Ali
 2 Xue, Yongkang
 3 Rodrigues, Ariane de Almeida
 4 Franca Rocha, Washington
 5 Oliveira, Marceli Terra de
 6 Carvalho, Nathalia Silva de
 7 Cayo, Efrain Yury Turpo
 8 Rosa, Marcos Reis
 9 Dutra, Andeise Cerqueira
10 Shimabukuro, Yosio Edemir
Identificador de Curriculo 1
 2
 3
 4
 5
 6
 7
 8
 9
10 8JMKD3MGP5W/3C9JJCQ
ORCID 1 0000-0001-9126-7138
 2 0000-0002-6169-9631
 3 0000-0003-2542-2288
 4 0000-0002-2175-2792
 5 0000-0001-6087-6344
 6 0000-0003-0651-6967
 7 0000-0002-6691-9867
 8 0000-0001-5367-8059
 9 0000-0002-4454-7732
10 0000-0002-1469-8433
Grupo 1
 2
 3
 4
 5 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
 6 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
 7
 8
 9 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
10 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação 1 University of California
 2 University of California
 3 Universidade de Brasília (UnB)
 4 Universidade Estadual de Feira de Santana (UEFS)
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7 Universidad Nacional Agraria La Molina
 8 Universidade Estadual de Feira de Santana (UEFS)
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor 1 khalilganem@hotmail.com
 2 yxue@geog.ucla.edu
 3 arianerodrigues@gmail.com
 4 wrocha@uefs.br
 5 marceli.terra@inpe.br
 6 nathalia.carvalho@inpe.br
 7 eturpo@lamolina.edu.pe
 8 marcosrosa@alumni.usp.br
 9 andeise.dutra@inpe.br
10 yosio.shimabukuro@inpe.br
RevistaRemote Sensing
Volume14
Número3
Páginase736
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2022-02-23 18:01:14 :: simone -> administrator ::
2022-02-23 18:01:14 :: administrator -> simone :: 2022
2022-02-23 18:02:30 :: simone -> administrator :: 2022
2023-01-03 16:46:01 :: administrator -> simone :: 2022
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-Chaveland use and land cover
aridity
drought
Landsat
MODIS
savannas
shrublands
grasslands
woodlands
ResumoThe scientific grasp of the distribution and dynamics of land use and land cover (LULC) changes in South America is still limited. This is especially true for the continent's hyperarid, arid, semiarid, and dry subhumid zones, collectively known as drylands, which are under-represented ecosystems that are highly threatened by climate change and human activity. Maps of LULC in drylands are, thus, essential in order to investigate their vulnerability to both natural and anthropogenic impacts. This paper comprehensively reviewed existing mapping initiatives of South America's drylands to discuss the main knowledge gaps, as well as central methodological trends and challenges, for advancing our understanding of LULC dynamics in these fragile ecosystems. Our review centered on five essential aspects of remote-sensing-based LULC mapping: scale, datasets, classification techniques, number of classes (legends), and validation protocols. The results indicated that the Landsat sensor dataset was the most frequently used, followed by AVHRR and MODIS, and no studies used recently available high-resolution satellite sensors. Machine learning algorithms emerged as a broadly employed methodology for land cover classification in South America. Still, such advancement in classification methods did not yet reflect in the upsurge of detailed mapping of dryland vegetation types and functional groups. Among the 23 mapping initiatives, the number of LULC classes in their respective legends varied from 6 to 39, with 1 to 14 classes representing drylands. Validation protocols included fieldwork and automatic processes with sampling strategies ranging from solely random to stratified approaches. Finally, we discussed the opportunities and challenges for advancing research on desertification, climate change, fire mapping, and the resilience of dryland populations. By and large, multi-level studies for dryland vegetation mapping are still lacking.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Mapping South America's...
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4. Condições de acesso e uso
URL dos dadoshttp://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/46DJB68
URL dos dados zipadoshttp://mtc-m21d.sid.inpe.br/zip/8JMKD3MGP3W34T/46DJB68
Idiomaen
Arquivo Alvoremotesensing-14-00736-v2.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.18.22.34 5
sid.inpe.br/bibdigital/2022/04.03.22.23 1
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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