| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | marte.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Repository | dpi.inpe.br/sbsr@80/2008/11.18.01.43.47 | |||
| Last Update | 2009:03.26.09.05.18 (UTC) administrator | |||
| Metadata Repository | dpi.inpe.br/sbsr@80/2008/11.18.01.43.48 | |||
| Metadata Last Update | 2022:07.07.03.46.55 (UTC) administrator | |||
| Secondary Key | INPE-15895-PRE/10505 | |||
| ISBN | 978-85-17-00044-7 | |||
| Citation Key | GussoAdaForRudRiz:2009:AnSéTe | |||
| Title | Análise de séries temporais EVI/MODIS para a estimativa da área cultivada com soja no Rio Grande do Sul  | |||
| Format | DVD, On-line. | |||
| Year | 2009 | |||
| Access Date | 2024, May 08 | |||
| Secondary Type | PRE CN | |||
| Number of Files | 1 | |||
| Size | 1131 KiB | |||
| 2. Context | ||||
| Author | 1 Gusso, Anibal 2 Adami, Marcos 3 Formaggio, Antônio Roberto 4 Rudorff, Bernardo Friedrich Theodor 5 Rizzi, Rodrigo | |||
| Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JGJQ 4 8JMKD3MGP5W/3C9JGKP | |||
| Group | 1 DSR-OBT-INPE-MCT-BR 2 DSR-OBT-INPE-MCT-BR 3 DSR-OBT-INPE-MCT-BR 4 DSR-OBT-INPE-MCT-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais 2 Instituto Nacional de Pesquisas Espaciais 3 Instituto Nacional de Pesquisas Espaciais 4 Instituto Nacional de Pesquisas Espaciais 5 Universidade Federal de Pelotas | |||
| Author e-Mail Address | 1 anibal@dsr.inpe.br 2 adami@dsr.inpe.br 3 formag@dsr.inpe.br 4 bernardo@dsr.inpe.br 5 rodrigo.rizzi@ufpel.edu.br | |||
| Editor | Epiphanio, José Carlos Neves Galvão, Lênio Soares | |||
| e-Mail Address | lise@dpi.inpe.br | |||
| Conference Name | Simpósio Brasileiro de Sensoriamento Remoto, 14 (SBSR) | |||
| Conference Location | Natal | |||
| Date | 25-30 abr. 2009 | |||
| Publisher | Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Publisher City | São José dos Campos | |||
| Pages | 207-213 | |||
| Book Title | Anais | |||
| Tertiary Type | Artigo | |||
| Organization | Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| History (UTC) | 2008-11-18 11:49:42 :: anibal.gusso@ufrgs.br -> lise@dpi.inpe.br :: 2008-12-12 15:15:14 :: lise@dpi.inpe.br -> sbsr :: 2008-12-15 20:16:38 :: sbsr -> administrator :: 2009-05-28 13:07:11 :: administrator -> lise@dpi.inpe.br :: 2009-06-16 13:15:04 :: lise@dpi.inpe.br -> marciana :: 2009-06-22 13:55:30 :: marciana -> erich@sid.inpe.br :: 2009-06-23 18:44:48 :: erich@sid.inpe.br -> administrator :: 2009-08-05 02:04:49 :: administrator -> erich@sid.inpe.br :: 2010-05-14 02:40:50 :: erich@sid.inpe.br -> marciana :: 2011-02-16 14:17:24 :: marciana -> administrator :: 2009 2022-07-07 03:46:55 :: administrator -> :: 2009 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Keywords | crop area estimates agriculture EVI/MODIS time-series estimativa de áreas agrícolas agricultura EVI/MODIS séries temporais | |||
| Abstract | Agricultural forecasts estimates of soybean crop need to be accurate and timely in order to be adequately used by decision makers from the agribusiness sector of this commodity. Although soybean crop is cultivated under high level of agricultural practices its area estimation in Brazil is mainly based on traditional and subjective methods. The main goal of this study was to derive a method to estimate soybean crop area using EVI (Enhanced Vegetation Index) time-series from the MODIS sensor onboard of the Terra satellite. This research was carried out for 223 municipalities in Rio Grande do Sul State during the period of five crop years (2002/03 to 2007/08). The estimated soybean areas, at municipal level, using the EVI time-series, were compared to the official statistics provided by IBGE using regression analysis. Regression analysis and statistics of results are encouraging. The overall results shown a slightly overestimation obtained with this approach. EVI/MODIS estimated area explained 94% of the municipal soybean crop area variation indicating that it has great potential to accurately estimate municipal soybean area with the advantage of providing anticipated information prior to the soybean harvest. This method must be evaluated over another regions. | |||
| Area | SRE | |||
| Type | Agricultura | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Análise de séries... | |||
| doc Directory Content | access | |||
| source Directory Content |
| |||
| agreement Directory Content | there are no files | |||
| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.18.01.43.47 | |||
| zipped data URL | http://urlib.net/zip/dpi.inpe.br/sbsr@80/2008/11.18.01.43.47 | |||
| Language | pt | |||
| Target File | 207-213.pdf | |||
| User Group | administrator anibal.gusso@ufrgs.br lise@dpi.inpe.br marciana erich@sid.inpe.br administrator | |||
| Reader Group | administrator anibal.gusso@ufrgs.br | |||
| Visibility | shown | |||
| 5. Allied materials | ||||
| Mirror Repository | dpi.inpe.br/marte1@80/2009/05.26.17.02 | |||
| Next Higher Units | 8JMKD3MGPCW/3ER446E | |||
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.41 1 | |||
| Host Collection | dpi.inpe.br/netuno@1905/2006/07.17.20.18 dpi.inpe.br/banon/2003/12.10.19.30 | |||
| 6. Notes | ||||
| Sponsor | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |||
| Mark | 1 | |||
| Empty Fields | archivingpolicy 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 tertiarymark url versiontype volume | |||