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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/449CP82
Repositóriosid.inpe.br/mtc-m21c/2021/03.02.17.33
Última Atualização2021:03.02.17.33.06 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2021/03.02.17.33.06
Última Atualização dos Metadados2022:04.03.22.39.35 (UTC) administrator
DOI10.3390/rs13030367
ISSN2072-4292
Chave de CitaçãoSanoRKWASBF:2021:CaStBr
TítuloComparative analysis of the global forest/non‐forest maps derived from sar and optical sensors. Case studies from brazilian amazon and cerrado biomes
Ano2021
MêsFeb.
Data de Acesso03 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho12793 KiB
2. Contextualização
Autor1 Sano, Edson E.
2 Rizzoli, Paola
3 Koyama, Christian N.
4 Watanabe, Manabu
5 Adami, Marcos
6 Shimabukuro, Yosio Edemir
7 Bayma, Gustavo
8 Freitas, Daniel M.
Identificador de Curriculo1
2
3
4
5
6 8JMKD3MGP5W/3C9JJCQ
ORCID1
2
3
4
5 0000-0003-4247-4477
6
7 0000-0001-5312-6609
Grupo1
2
3
4
5 COEAM-CGGO-INPE-MCTI-GOV-BR
6 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Brasileiro de Meio Ambiente e dos Recursos Naturais Renováveis (IBAMA)
2 German Aerospace Center
3 Tokyo Denki University
4 Tokyo Denki University
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Empresa Brasileira de Pesquisa Agropecuária - EMBRAPA
8 Instituto Brasileiro de Meio Ambiente e dos Recursos Naturais Renováveis (IBAMA)
Endereço de e-Mail do Autor1 edson.sano@ibama.gov.br
2 paola.rizzoli@dlr.de
3 16hz010@ms.dendai.ac.jp
4 16hz001@ms.dendai.ac.jp
5 marcos.adami@inpe.br
6 yosio.shimabukuro@inpe.br
7 gustavo.bayma@embrapa.br
8 daniel-moraes.freitas@ibama.gov.br
RevistaRemote Sensing
Volume13
Número3
Páginas1-25
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2021-03-02 17:33:06 :: simone -> administrator ::
2021-03-02 17:33:19 :: administrator -> simone :: 2021
2021-03-02 17:36:17 :: simone -> administrator :: 2021
2021-07-02 02:27:10 :: administrator -> simone :: 2021
2021-12-16 18:56:58 :: simone -> administrator :: 2021
2022-04-03 22:39:35 :: 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
ResumoGlobal‐scale forest/non‐forest (FNF) maps are of crucial importance for applications like biomass estimation and deforestation monitoring. Global FNF maps based on optical remote sensing data have been produced by the wall‐to‐wall satellite image analyses or sampling strategies. The German Aerospace Center (DLR) and the Japan Aerospace Exploration Agency (JAXA) also made available their global FNF maps based on synthetic aperture radar (SAR) data. This paper attempted to answer the following scientific question: how comparable are the FNF products derived from optical and SAR data? As test sites we selected the Amazon (tropical rainforest) and Cerrado (tropical savanna) biomes, the two largest Brazilian biomes. Forest estimations from 2015 derived from TanDEM‐X (X band; HH polarization) and ALOS‐2 (L band; HV polarization) SAR data, as well as forest cover information derived from Landsat 8 optical data were compared with each other at the municipality and image sampling levels. The optical‐based forest estimations considered in this study were derived from the MapBiomas project, a Brazilian multi‐institutional project to map land use and land cover (LULC) classes of an entire country based on historical time series of Landsat data. In addition to the existing forest maps, a set of 1619 Landsat 8 RGB color composites was used to generate new independent comparison data composed of circular areas with 5‐km diameter, which were visually interpreted after image segmentation. The Spearman rank correlation estimated the correlation among the data sets and the paired MannWhitneyWilcoxon tested the hypothesis that the data sets are statistically equal. Results showed that forest maps derived from SAR and optical satellites are statistically different regardless of biome or scale of study (municipality or image sampling), except for the Cerrado´s forest estimations derived from TanDEM‐X and ALOS‐2. Nevertheless, the percentage of pixels classified as forest or non‐forest by both SAR sensors were 90% and 80% for the Amazon and Cerrado biome, respectively, indicating an overall good agreement.
ÁreaSRE
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/449CP82
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/449CP82
Idiomaen
Arquivo Alvosano_comparative.pdf
Grupo de Usuáriossimone
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
8JMKD3MGPCW/46KUBT5
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.35 6
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords 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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