| 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@80/2008/11.18.01.24.30 | |||
| Last Update | 2009:03.26.09.08.44 (UTC) administrator | |||
| Metadata Repository | dpi.inpe.br/sbsr@80/2008/11.18.01.24.31 | |||
| Metadata Last Update | 2022:07.07.03.53.33 (UTC) administrator | |||
| Secondary Key | INPE-15938-PRE/10548 | |||
| ISBN | 978-85-17-00044-7 | |||
| Citation Key | MendesMorAraDuaMou:2009:ReTaDe | |||
| Title | Monitoramento de soja através do uso de imagens de satélite: regiões de Tabaporã e de Sinop, Mato Grosso  | |||
| Format | DVD, On-line. | |||
| Year | 2009 | |||
| Access Date | 2024, May 18 | |||
| Secondary Type | PRE CN | |||
| Number of Files | 1 | |||
| Size | 654 KiB | |||
| 2. Context | ||||
| Author | 1 Mendes, Flávia de Souza 2 Moraes, Elisabete Caria 3 Arai, Egidio 4 Duarte, Valdete 5 Moura, Yhasmin Mendes de | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JH24 3 8JMKD3MGP5W/3C9JGUP 4 8JMKD3MGP5W/3C9JJAU | |||
| Group | 1 2 DSR-OBT-INPE-MCT-BR 3 DSR-OBT-INPE-MCT-BR 4 DSR-OBT-INPE-MCT-BR | |||
| Affiliation | 1 Universidade de Taubaté/SP 2 Instituto Nacional de Pesquisas Espaciais/SP 3 Instituto Nacional de Pesquisas Espaciais/SP 4 Instituto Nacional de Pesquisas Espaciais/SP 5 Universidade de Taubaté/SP | |||
| Author e-Mail Address | 1 flaviasm@dsr.inpe.br 2 bete@dsr.inpe.br 3 egidio@dsr.inpe.br 4 valdete@dsr.inpe.br 5 yhasmin@dsr.inpe.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 | 287-291 | |||
| Book Title | Anais | |||
| Tertiary Type | Iniciação Científica | |||
| Organization | Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| History (UTC) | 2008-11-18 10:53:32 :: flaviasm@dsr.inpe.br -> sbsr :: 2008-12-15 20:17:14 :: sbsr -> lise@dpi.inpe.br :: 2009-01-19 20:40:16 :: lise@dpi.inpe.br -> sbsr :: 2009-02-19 20:17:20 :: sbsr -> administrator :: 2009-05-28 13:06:52 :: 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 19:10:42 :: erich@sid.inpe.br -> administrator :: 2009-08-05 02:04:25 :: administrator -> erich@sid.inpe.br :: 2010-05-14 02:40:49 :: erich@sid.inpe.br -> marciana :: 2011-02-16 14:17:23 :: marciana -> administrator :: 2009 2022-07-07 03:53:33 :: administrator -> :: 2009 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Keywords | geotechnology image processing monitoring of soybean geotecnologia processamento de imagens monitoramento da soja | |||
| Abstract | Recent studies have demonstrated that remote sensing techniques are effective tools in the study of agricultural crops characteristics. Through the interpretation of satellite images is possible to identify and monitor large areas of agricultural fields. However, the diversity in land use and dynamics of agricultural targets can bring difficulties for the correct identification of these characteristics and make necessary better knowledge of the behavior of these spectral targets. This study aims to mapping and estimate soybean crop for a Landsat image (orbit/point 227/68 ) area in two different years (1996 and 2003) using digital classification and visual interpretation . The soybean crop map was carried out through digital and visual classification. At first, a segmentation and classification using the ISOSEG classifier provided a thematic map with 70 to 80% of acceptance, and after, a matrix editing was performed to validate the polygonal boundaries. The images classified showed a large increase in soybean planted area between the period of 15/12/1996 and 19/12/2003. Furthermore, in the first period mentioned above, the area occupied with soybean crop was of 86.672,76 ha and for the second period the area occupied with soybean crop was of 206.742,96 ha. This indicates an increase of 120.070,2 ha, or about 238,53%, in the soybean planted area. This study was efficient in the monitoring of agricultural crops. | |||
| Area | SRE | |||
| Type | Agricultura | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Monitoramento de soja... | |||
| 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@80/2008/11.18.01.24.30 | |||
| zipped data URL | http://urlib.net/zip/dpi.inpe.br/sbsr@80/2008/11.18.01.24.30 | |||
| Language | pt | |||
| Target File | 287-291.pdf | |||
| User Group | administrator flaviasm@dsr.inpe.br lise@dpi.inpe.br marciana erich@sid.inpe.br administrator | |||
| Reader Group | administrator flaviasm@dsr.inpe.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-m21/2012/07.13.14.45.11 1 sid.inpe.br/mtc-m21/2012/07.13.14.45.03 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 | Instituto Nacional de Pesquisas Espaciais (INPE). | |||
| 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 | |||