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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/3TAS68L
Repositóriosid.inpe.br/mtc-m21c/2019/05.17.15.03   (acesso restrito)
Última Atualização2019:05.17.15.03.22 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/05.17.15.03.22
Última Atualização dos Metadados2020:01.06.11.42.14 (UTC) administrator
DOI10.1016/j.jag.2018.06.016
ISSN0303-2434
Rótuloself-archiving-INPE-MCTIC-GOV-BR
Chave de CitaçãoSilveiraGalSanSáTau:2019:UsMSAi
TítuloUse of MSI/Sentinel-2 and airborne LiDAR data for mapping vegetation and studying the relationships with soil attributes in the Brazilian semi-arid region
Ano2019
MêsDec.
Data de Acesso13 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho4569 KiB
2. Contextualização
Autor1 Silveira, Hilton Luís Ferraz da
2 Galvão, Lênio Soares
3 Sanches, Ieda Del'Arco
4 Sá, Iedo Bezerra de
5 Taura, Tatiana Ayako
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHLF
Grupo1
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
5 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
Endereço de e-Mail do Autor1
2 lenio.galvao@inpe.br
3 ieda.sanches@inpe.br
RevistaInternational Journal of Applied Earth Observation and Geoinformation
Volume73
Páginas179-190
Nota SecundáriaB1_GEOCIÊNCIAS
Histórico (UTC)2019-05-17 15:03:22 :: simone -> administrator ::
2019-05-17 15:03:30 :: administrator -> simone :: 2019
2019-05-17 15:04:09 :: simone -> administrator :: 2019
2020-01-06 11:42:14 :: administrator -> simone :: 2019
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-ChaveCaatinga
Random forest
Classification
Principal components analysis
Kriging
ResumoThe Caatinga is an important ecosystem in the semi-arid region of northeast Brazil and a natural laboratory for the study of plant adaptation to seasonal water stress or prolonged droughts. The soil water availability for plants depends on plant root depth and soil properties. Here, we combined for the first time the remote sensing classification of Caatinga physiognomies with soil information derived from geostatistical analysis to relate vegetation distribution with physico-chemical attributes of soils. We evaluated the potential of multi-temporal data acquired by the MultiSpectral Instrument (MSI)/Sentinel-2 for Random Forest (RF) classification of seven physiognomies. In addition, we analyzed the contribution of airborne LiDAR metrics to improve classification accuracy compared to six vegetation indices (VIs) and 10 reflectance bands from the MSI instrument. Using a detailed soil survey, the spatial distribution of the vegetation physiognomies mapped by RF was associated with the variability of 20 physico-chemical attributes of 75 soil profiles submitted to principal components analysis (PCA) and ordinary kriging. The results showed gains in overall classification accuracy with use of the multi-temporal data over the mono-temporal observations. Gains in classification of arboreous Caatinga were also observed after the insertion of LiDAR metrics in the analysis, especially the percentage of vegetation cover with height greater than 5 m, the terrain elevation and the standard deviation of vegetation height. Overall, the most important metrics for classification were the VIs, especially the Enhanced Vegetation Index (EVI), Normalized Difference Infrared Index (NDII-1), Optimized Soil-Adjusted Vegetation Index (OSAVI) and the Normalized Difference Vegetation Index (NDVI). The most important MSI/Sentinel-2 bands were positioned in the red-edge spectral interval. From PCA, soil attributes responsible for most of the data variance were related to soil fertility, soil depth and rock fragments in the surface horizon. The amounts of gravels and pebbles were factors of physiognomic variability with shrub and sub-shrub Caatinga occurring preferentially over shallow and stony soils. By contrast, arboreous Caatinga occurred over soils with total profile depth greater than 1 m. Finally, areas of sub-shrub Caatinga had greater values of cation exchange capacity (CEC) and water retention at field capacity than areas of arboreous Caatinga. The differences were statistically significant at 95% confidence level, as indicated by Mann-Whitney U tests.
ÁreaSRE
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4. Condições de acesso e uso
Idiomaen
Arquivo AlvoSilveira_1-s2.0-S0303243418304483-main.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.09.15.05 1
sid.inpe.br/mtc-m21/2012/07.13.14.53.28 1
sid.inpe.br/bibdigital/2013/09.13.21.11 1
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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