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Epiphanio,Rui Dalla Valle; Formaggio,Antonio Roberto; Rudorff,Bernardo Friedrich Theodor; Maeda,Eduardo Eiji; Luiz,Alfredo José Barreto. |
The objective of this work was to evaluate the application of the spectral-temporal response surface (STRS) classification method on Moderate Resolution Imaging Spectroradiometer (MODIS, 250 m) sensor images in order to estimate soybean areas in Mato Grosso state, Brazil. The classification was carried out using the maximum likelihood algorithm (MLA) adapted to the STRS method. Thirty segments of 30x30 km were chosen along the main agricultural regions of Mato Grosso state, using data from the summer season of 2005/2006 (from October to March), and were mapped based on fieldwork data, TM/Landsat-5 and CCD/CBERS-2 images. Five thematic classes were considered: Soybean, Forest, Cerrado, Pasture and Bare Soil. The classification by the STRS method was done... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Glycine max; Accuracy; Agricultural statistics; Classification; Remote sensing; Thematic map. |
Ano: 2010 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2010000100010 |
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Spezia,Graciele R.; Souza,Eduardo G. de; Nóbrega,Lúcia H. P.; Uribe-Opazo,Miguel A.; Milan,Marcos; Bazzi,Claudio L.. |
Yield mapping represents the spatial variability concerning the features of a productive area and allows intervening on the next year production, for example, on a site-specific input application. The trial aimed at verifying the influence of a sampling density and the type of interpolator on yield mapping precision to be produced by a manual sampling of grains. This solution is usually adopted when a combine with yield monitor can not be used. An yield map was developed using data obtained from a combine equipped with yield monitor during corn harvesting. From this map, 84 sample grids were established and through three interpolators: inverse of square distance, inverse of distance and ordinary kriging, 252 yield maps were created. Then they were compared... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Precision agriculture; Thematic map; Spatial variability. |
Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662012000400016 |
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