| 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@80/2008/11.18.01.33 | |||
| Last Update | 2009:03.25.20.45.52 (UTC) administrator | |||
| Metadata Repository | dpi.inpe.br/sbsr@80/2008/11.18.01.33.45 | |||
| Metadata Last Update | 2022:07.07.03.56.46 (UTC) administrator | |||
| ISBN | 978-85-17-00044-7 | |||
| Citation Key | Ramírez-LópezDemaTerrBort:2009:SoGrIn | |||
| Title | Sensoriamento remoto no mapeamento digital da fertilidade do solo: solucionando um grande inconveniente em agricultura de precisão  | |||
| Format | DVD, On-line. | |||
| Year | 2009 | |||
| Access Date | 2025, June 20 | |||
| Secondary Type | PRE CN | |||
| Number of Files | 1 | |||
| Size | 2813 KiB | |||
| 2. Context | ||||
| Author | 1 Ramírez-López, Leonardo 2 Demattê, José Alexandre Melo 3 Terra, Fabrício da Silva 4 Bortoletto, Marco Antonio Melo | |||
| Affiliation | 1 Universidade de São Paulo/ESALQ 2 Universidade de São Paulo/ESALQ 3 Universidade de São Paulo/ESALQ 4 Universidade de São Paulo/ESALQ | |||
| Author e-Mail Address | 1 lrlopez@esalq.usp.br 2 jamdtmat@esalq.usp.br 3 mamborto@esalq.usp.br 4 mamborto@esalq.usp.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 | 363-370 | |||
| Book Title | Anais | |||
| Tertiary Type | Artigo | |||
| Organization | Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| History (UTC) | 2008-11-18 01:33:45 :: lrlopez@esalq.usp.br -> lise@dpi.inpe.br :: 2008-12-12 11:11:26 :: lise@dpi.inpe.br -> sbsr :: 2008-12-15 20:17:23 :: sbsr -> lise@dpi.inpe.br :: 2009-01-15 20:01:20 :: lise@dpi.inpe.br -> sbsr :: 2009-02-19 20:17:40 :: sbsr -> lise@dpi.inpe.br :: 2009-03-05 22:16:24 :: lise@dpi.inpe.br -> administrator :: 2009-08-05 02:04:38 :: administrator -> lise@dpi.inpe.br :: 2011-02-16 14:29:58 :: lise@dpi.inpe.br -> administrator :: 2022-07-07 03:56:46 :: administrator -> :: 2009 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Keywords | espectroscopia de solos quimiometría variabilidade espacial amostragem estratificada e em grade | |||
| Abstract | Precision agriculture requires high soil sampling density to assess the soil spatial variability and therefore the cost for asses this variability is significantly high. In this way, the aim of this study was to demonstrate that with a small number of soil samples (with low costs) statistical models for the quantification of soil attributes in a large number of foil samples based on the soil spectral reflectance can be obtained with suitable accuracy for the description of the spatial variability of attributes related to the soil fertility. In the study area of 473 ha 900 soil samples were collected in two depths. A soil analysis was carried out and were obtained Ca, Mg, K and CIC, was also calculated the base sum and soil textural fractions were also determined. For each soil sample a spectral reflectance was obtained. Models for the quantification of soil attributes were calibrated by partial least squares regression (PLS). These models were calibrated with three different quantity of soil samples, for the selection of these samples was used two different methods. The performance each model was evaluated by cross validation. Finally these models were applied to all spectral data and was obtained the predicted soil attribute values in each soil sample. The predicted soil attributes (by remote sensing) and the soil attributes form conventional soil analysis were mapped using geoestatística methods. This study demonstrates that the remote sensing can be solve a great problem in precision agriculture and digital soil mapping. | |||
| Area | SRE | |||
| Type | Agricultura | |||
| 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@80/2008/11.18.01.33 | |||
| zipped data URL | http://urlib.net/zip/dpi.inpe.br/sbsr@80/2008/11.18.01.33 | |||
| Language | pt | |||
| Target File | 363-370.pdf | |||
| User Group | lrlopez@esalq.usp.br lise@dpi.inpe.br administrator | |||
| Reader Group | administrator lrlopez@esalq.usp.br | |||
| Visibility | shown | |||
| 5. Allied materials | ||||
| Mirror Repository | dpi.inpe.br/marte1@80/2009/05.26.17.02 | |||
| Host Collection | dpi.inpe.br/netuno@1905/2006/07.17.20.18 dpi.inpe.br/banon/2003/12.10.19.30 | |||
| 6. Notes | ||||
| Sponsor | Fundação de Amparo à Pesquisa do Estado de São Paulo | |||
| 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 | |||