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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP5W34M/3GD3GLE
Repositóriosid.inpe.br/mtc-m21b/2014/05.30.02.23.45   (acesso restrito)
Última Atualização2017:07.21.14.31.58 (UTC) marciana
Repositório de Metadadossid.inpe.br/mtc-m21b/2014/05.30.02.23.46
Última Atualização dos Metadados2018:06.04.03.04.16 (UTC) administrator
DOI10.1080/01431161.2014.883106
ISSN0143-1161
Rótuloscopus 2014-05 AtzbergerFoShUdMaSaAr:2014:UsUnAp
Chave de CitaçãoAtzbergerFoShUdMaSaAr:2014:UsUnAp
TítuloObtaining crop-specific time profiles of NDVI: the use of unmixing approaches for serving the continuity between SPOT-VGT and PROBA-V time series
Ano2014
Data de Acesso11 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1707 KiB
2. Contextualização
Autor1 Atzberger, Clement
2 Formaggio, Antonio Roberto
3 Shimabukuro, Yosio Edemir
4 Udelhoven, T.
5 Mattiuzzi, M.
6 Sanchez, Gildardo Arango
7 Arai, Egidio
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JGJQ
3 8JMKD3MGP5W/3C9JJCQ
4
5
6
7 8JMKD3MGP5W/3C9JGUP
Grupo1
2 DSR-OBT-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
4
5
6 DSR-OBT-INPE-MCTI-GOV-BR
7 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação1 Institute of Surveying, Remote Sensing and Land Information, University of Natural Resources and Life Sciences (BOKU), 1190 Vienna, Austria
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Remote Sensing and Geoinformatics Department, University of Trier, 54296 Trier, Germany
5 Institute of Surveying, Remote Sensing and Land Information, University of Natural Resources and Life Sciences (BOKU), 1190 Vienna, Austria
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1
2 formag@ltid.inpe.br
3 yosio@ltid.inpe.br
4
5
6 gildardo@dsr.inpe.br
7 egidio@ltid.inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaInternational Journal of Remote Sensing
Volume35
Número7
Páginas2615-2638
Nota SecundáriaA1_ENGENHARIAS_III A2_CIÊNCIA_DA_COMPUTAÇÃO A2_ENGENHARIAS_I A2_GEOGRAFIA A2_INTERDISCIPLINAR A2_CIÊNCIAS_AMBIENTAIS A2_ENGENHARIAS_III A2_ENGENHARIAS_IV B1_MATEMÁTICA_/_PROBABILIDADE_E B1_CIÊNCIAS_AGRÁRIAS_I B1_BIODIVERSIDADE B1_GEOCIÊNCIAS B1_ENGENHARIAS_II B2_ODONTOLOGIA B2_SAÚDE_COLETIVA B3_CIÊNCIAS_BIOLÓGICAS_I B3_BIOTECNOLOGIA B5_ASTRONOMIA_/_FÍSICA
Histórico (UTC)2016-08-19 14:36:28 :: administrator -> marciana :: 2014
2017-07-21 14:31:58 :: marciana -> administrator :: 2014
2018-06-04 03:04:16 :: administrator -> marciana :: 2014
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-Chavecrops
image resolution
radiometers
vegetation
Landsat thematic mapper images
moderate resolution imaging spectroradiometer
Ndvi temporal profiles
normalized difference vegetation index
project for on-board autonomies
retrieval accuracy
Satellite Pour l'Observation de la Terre
Unmixing algorithms
Satellite imagery
algorithm
crop plant
data set
land cover
Landsat thematic mapper
MODIS
NDVI
sensor
spatial resolution
SPOT
time series
Brazil
Sao Paulo [Brazil]
ResumoThe study examined the potential of two unmixing approaches for deriving crop-specific normalized difference vegetation index (NDVI) profiles so that upon availability of Project for On-Board Autonomy - Vegetation (PROBA-V) imagery in winter 2013, this new data set can be combined with existing Satellite Pour l'Observation de la Terre - VEGETATION (SPOT-VGT) data despite the differences in spatial resolution (300 m of PROBA-V versus 1 km of SPOT-VGT). To study the problem, two data sets were analysed: (1) a set of 10 temporal NDVI images, with 300 and 1000 m spatial resolution, from the state of São Paulo (Brazil) synthesized from 30 m Landsat Thematic Mapper (TM) images, and (2) a corresponding set of 10 observed Moderate Resolution Imaging Spectroradiometer (MODIS) images (250 m spatial resolution). To mimic the influence of noise on the retrieval accuracy, different sensor/atmospheric noise levels were applied to the first data set. For the unmixing analysis, a high-resolution land-cover (LC) map was used. The LC map was derived beforehand using a different set of Landsat TM images. The map distinguishes nine classes, with four different sugarcane stages, two agricultural sub-classes, plus forest, pasture, and urban/water. Unmixing aiming at the retrieval of crop-specific NDVI profiles was done at administrative level. For the synthesized data set it was demonstrated that the 'true' NDVI temporal profiles of different land-cover classes (from 30 m TM data) can generally be retrieved with high accuracy. The two simulated sensors (PROBA-V and SPOT-VGT) and the two unmixing algorithms gave similar results. Analysing the MODIS data set, we also found a good correspondence between the modelled NDVI profiles (both approaches) and the (true) Landsat temporal endmembers.
ÁreaSRE
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4. Condições de acesso e uso
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Grupo de Usuáriosadministrator
marcelo.pazos@inpe.br
Grupo de Leitoresadministrator
marcelo.pazos@inpe.br
marciana
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft12
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.45.03 2
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarymark tertiarytype url
7. Controle da descrição
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