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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP5W34M/3GD3GLE
Repositorysid.inpe.br/mtc-m21b/2014/05.30.02.23.45   (restricted access)
Last Update2017:07.21.14.31.58 (UTC) marciana
Metadata Repositorysid.inpe.br/mtc-m21b/2014/05.30.02.23.46
Metadata Last Update2018:06.04.03.04.16 (UTC) administrator
DOI10.1080/01431161.2014.883106
ISSN0143-1161
Labelscopus 2014-05 AtzbergerFoShUdMaSaAr:2014:UsUnAp
Citation KeyAtzbergerFoShUdMaSaAr:2014:UsUnAp
TitleObtaining crop-specific time profiles of NDVI: the use of unmixing approaches for serving the continuity between SPOT-VGT and PROBA-V time series
Year2014
Access Date2024, Apr. 16
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1707 KiB
2. Context
Author1 Atzberger, Clement
2 Formaggio, Antonio Roberto
3 Shimabukuro, Yosio Edemir
4 Udelhoven, T.
5 Mattiuzzi, M.
6 Sanchez, Gildardo Arango
7 Arai, Egidio
Resume Identifier1
2 8JMKD3MGP5W/3C9JGJQ
3 8JMKD3MGP5W/3C9JJCQ
4
5
6
7 8JMKD3MGP5W/3C9JGUP
Group1
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
Affiliation1 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)
Author e-Mail Address1
2 formag@ltid.inpe.br
3 yosio@ltid.inpe.br
4
5
6 gildardo@dsr.inpe.br
7 egidio@ltid.inpe.br
e-Mail Addressmarcelo.pazos@inpe.br
JournalInternational Journal of Remote Sensing
Volume35
Number7
Pages2615-2638
Secondary MarkA1_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
History (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. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordscrops
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]
AbstractThe 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.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Obtaining crop-specific time...
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Languageen
User Groupadministrator
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Reader Groupadministrator
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Visibilityshown
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Update Permissionnot transferred
5. Allied materials
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.45.03 2
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
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