| 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@80/2006/11.14.20.31 | |||
| Last Update | 2007:03.01.17.25.42 (UTC) erich@sid.inpe.br | |||
| Metadata Repository | dpi.inpe.br/sbsr@80/2006/11.14.20.31.45 | |||
| Metadata Last Update | 2018:06.06.02.37.15 (UTC) administrator | |||
| ISBN | 978-85-17-00031-7 | |||
| Citation Key | WagnerWebFonDucKle:2007:EsÁrSo | |||
| Title | Estimativa de área de soja no Rio Grande do Sul utilizando imagens NDVI/MODIS  | |||
| Format | CD-ROM, On-line. | |||
| Year | 2007 | |||
| Access Date | 2024, May 08 | |||
| Secondary Type | PRE CN | |||
| Number of Files | 1 | |||
| Size | 1576 KiB | |||
| 2. Context | ||||
| Author | 1 Wagner, Ana Paula Luz 2 Weber, Eliseu José 3 Fontana, Denise Cybis 4 Ducati, Jorge Ricardo 5 Klering, Eliana Veleda | |||
| Affiliation | 1 Universidade Federal do Rio Grande do Sul (UFRGS). Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia (CEPSRM). 2 Universidade Federal do Rio Grande do Sul (UFRGS). Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia (CEPSRM). 3 Universidade Federal do Rio Grande do Sul (UFRGS). Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia (CEPSRM). Faculdade de Agronomia. Departamento de Agrometeorologia e Plantas Forrageiras. 4 Universidade Federal do Rio Grande do Sul (UFRGS). Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia (CEPSRM). 5 Universidade Federal do Rio Grande do Sul (UFRGS). Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia (CEPSRM). | |||
| Author e-Mail Address | 1 anaplw@yahoo.com.br 2 eweber@portoweb.com.br 3 dfontana@ufrgs.br 4 ducati@if.ufrgs.br 5 elianaklering@yahoo.com.br | |||
| Editor | Epiphanio, José Carlos Neves Galvão, Lênio Soares Fonseca, Leila Maria Garcia | |||
| e-Mail Address | ANAPLW@YAHOO.COM.BR | |||
| Conference Name | Simpósio Brasileiro de Sensoriamento Remoto, 13 (SBSR). | |||
| Conference Location | Florianópolis | |||
| Date | 21-26 abr. 2007 | |||
| Publisher | Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Publisher City | São José dos Campos | |||
| Pages | 457-464 | |||
| Book Title | Anais | |||
| Tertiary Type | Artigo | |||
| Organization | Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| History (UTC) | 2006-11-16 13:10:41 :: ANAPLW@yahoo.com.br -> sbsr :: 2007-01-09 00:47:19 :: sbsr -> administrator :: 2009-08-05 01:40:50 :: administrator -> erich@sid.inpe.br :: 2010-05-14 02:42:53 :: erich@sid.inpe.br -> marciana :: 2011-02-16 14:05:46 :: marciana -> administrator :: 2007 2018-06-06 02:37:15 :: administrator -> :: 2007 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Keywords | agricultural estimates NDVI/MODIS digital classification statisticians of spectral distribution estimativa de área NDVI/MODIS classificação digital estatísticas de distribuição espectral | |||
| Abstract | The Brazilian agricultural estimates still are strongly based on subjective surveys. In the last years several researches have been developed shown that the remote sensing products can be an important source of objective products. The aim of this study was to evaluate the application of NDVI MODIS image as a ease and fast estimator of the soybean crop area in the Rio Grande do Sul state. The applied methodology uses the temporal dynamic of the soybean crop through the evaluating of the NDVI behavior in some characteristic periods of the crop cycle in the main producer region of the State. The soybean map area produced by a Landsat image was used as a crop mask for extracting the average and standard deviation statistics. This information was used to define NDVI bands corresponding to the implantation and full development periods of the crop. The cross-matches of these binary images were used to map soybean areas. The results had shown the possibility of using this method to map soybean areas in Rio Grande do Sul. The agreement between the numbers of soybean pixels classified in the MODIS image related to the soybean areas identified in the Landsat images was 83.98%, with 0.48 of Kappa. The omission and commission error was near to 42% each. The difference between the crop area in the MODIS and Landsat images was 2.38%. When the comparison was made using MODIS and IBGE data, the difference gone up to 18.78%. The results were very good in soybean regions with high heterogeneity caused by the size, technology and crop calendar, excusing any other type of edition on the classified image. This methodology allows one to produce good indication of the soybean area using a simple, economic and fast form. | |||
| Area | SRE | |||
| Type | Agricultura | |||
| doc Directory Content | access | |||
| source Directory Content |
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| agreement Directory Content | there are no files | |||
| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.14.20.31 | |||
| zipped data URL | http://urlib.net/zip/dpi.inpe.br/sbsr@80/2006/11.14.20.31 | |||
| Language | pt | |||
| Target File | 457-464.pdf | |||
| User Group | ANAPLW@yahoo.com.br administrator erich@sid.inpe.br | |||
| Reader Group | ANAPLW@yahoo.com.br administrator | |||
| Visibility | shown | |||
| 5. Allied materials | ||||
| Mirror Repository | dpi.inpe.br/banon-pc2@80/2006/07.17.20.31 | |||
| Host Collection | dpi.inpe.br/banon/2003/12.10.19.30 | |||
| 6. Notes | ||||
| Sponsor | CONAB/PNUD | |||
| Mark | 1 | |||
| Empty Fields | archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group identifier issn label lineage nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle tertiarymark url versiontype volume | |||