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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorydpi.inpe.br/sbsr@80/2008/11.18.00.07
Last Update2009:03.25.20.47.26 (UTC) administrator
Metadata Repositorydpi.inpe.br/sbsr@80/2008/11.18.00.07.38
Metadata Last Update2022:07.07.03.56.44 (UTC) administrator
Secondary KeyINPE-16001-PRE/10610
ISBN978-85-17-00044-7
Citation KeyRissoRiEpRuFoShFe:2009:PoÍnVe
TitlePotencialidade dos índices de vegetação EVI e NDVI dos produtos MODIS na separabilidade espectral de áreas de soja
FormatDVD, On-line.
Year2009
Access Date2024, May 18
Secondary TypePRE CN
Number of Files1
Size767 KiB
2. Context
Author1 Risso, Joel
2 Rizzi, Rodrigo
3 Epiphanio, Rui Dalla Valle
4 Rudorff, Bernardo Friedrich Theodor
5 Formaggio, Antônio Roberto
6 Shimabukuro, Yosio Edemir
7 Fernandes, Sérgio Leal
Resume Identifier1
2
3
4 8JMKD3MGP5W/3C9JGKP
5 8JMKD3MGP5W/3C9JGJQ
6 8JMKD3MGP5W/3C9JJCQ
Group1
2
3
4 DSR-OBT-INPE-MCT-BR
5 DSR-OBT-INPE-MCT-BR
6 DSR-OBT-INPE-MCT-BR
Affiliation1 Universidade Federal de Pelotas - UFPEL/RS
2 Universidade Federal de Pelotas - UFPEL/RS
3 Engenheiro Agrônomo/SP
4 Instituto Nacional de Pesquisas Espaciais - INPE/SP
5 Instituto Nacional de Pesquisas Espaciais - INPE/SP
6 Instituto Nacional de Pesquisas Espaciais - INPE/SP
7 Universidade Federal de Pelotas - UFPEL/RS
Author e-Mail Address1 joelrisso@gmail.com
2 rodrigo.rizzi@ufpel.edu.br
3 ruiep@yahoo.com.br
4 bernardo@dsr.inpe.br
5 formag@dsr.inpe.br
6 yosio@dsr.inpe.br
7 slealfernandes@uol.com.br
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
e-Mail Addressjoelrisso@gmail.com
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 14 (SBSR)
Conference LocationNatal
Date25-30 abr. 2009
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages379-386
Book TitleAnais
Tertiary TypeIniciação Científica
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2008-11-18 00:42:38 :: joelrisso@gmail.com -> sbsr ::
2008-12-15 20:17:17 :: sbsr -> administrator ::
2009-04-20 16:52:04 :: administrator -> joelrisso@gmail.com ::
2009-04-22 01:16:20 :: joelrisso@gmail.com -> administrator ::
2009-06-16 13:15:02 :: administrator -> marciana ::
2009-06-22 13:55:28 :: marciana -> erich@sid.inpe.br ::
2009-06-26 17:30:33 :: erich@sid.inpe.br -> administrator ::
2009-08-05 02:02:57 :: administrator -> erich@sid.inpe.br ::
2010-05-14 02:40:46 :: erich@sid.inpe.br -> marciana ::
2011-02-16 14:17:21 :: marciana -> administrator :: 2009
2022-07-07 03:56:44 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsremote sensing
crop monitoring
satellite images
sensoriamento remoto
monitoramento agrícola
imagens de satélite
AbstractSpatial distribution and spectral-temporal variations of agricultural lands have been largely analyzed from regional to global scales using the Normalized Difference Vegetation Index (NDVI) derived from images with low spatial and high temporal resolutions acquired by the Advanced Very High Resolution Radiometer (AVHRR) sensor. The Enhanced Vegetation Index (EVI) designed for MODerate resolution Imaging Spectroradiometer (MODIS) sensor onboard of Terra and Aqua spacecrafts reduces the atmospheric and background contamination and also minimizes the NDVI saturation problem over lands with high biomass such as tropical forest. In this paper we investigated the performance of both EVI and NDVI Vegetation Indexes (VI) from 250 m MODIS product (MOD13Q1) for monitoring vegetation canopy conditions in order to discriminate soybean crop from forested and bare soil areas. A thematic map derived from Landsat-TM images was used as reference map to evaluate the VI temporal behavior for the targets of interest. In order to model the spectral-temporal curves for these targets for both VI a fifth-order polynomial equation was applied and a definite integral was then used to calculate the area bounded by the curves. Although both MODIS VI temporal profiles showed almost similar response throughout soybean growing season, we found that NDVI is more effective in discriminating soybean areas from forest and bare soil during the soybean pre-planting period while EVI is more valuable and improves the contrast between those areas during the soybean peak canopy development.
AreaSRE
TypeAgricultura
doc Directory Contentaccess
source Directory Content
EVI_x_NDVI_soja.pdf 17/11/2008 22:42 640.7 KiB 
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.18.00.07
zipped data URLhttp://urlib.net/zip/dpi.inpe.br/sbsr@80/2008/11.18.00.07
Languagept
Target File379-386.pdf
User Groupadministrator
joelrisso@gmail.com
marciana
erich@sid.inpe.br
administrator
Reader Groupadministrator
joelrisso@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorydpi.inpe.br/marte1@80/2009/05.26.17.02
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.41 1
Host Collectiondpi.inpe.br/netuno@1905/2006/07.17.20.18
dpi.inpe.br/banon/2003/12.10.19.30
6. Notes
Mark1
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition identifier issn label lineage nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor shorttitle sponsor tertiarymark url versiontype volume


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