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SPECTRAL AGROMETEOROLOGICAL MODELING ADAPTED BY MEANS OF SIMPLIFIED TRIANGLE METHOD FOR SOYBEAN IN PARANÁ STATE – BRAZIL

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dc.contributor CAPES (Coordination for improvement personal of level higher) and College of Agricultural Engineering FEAGRI-UNICAMP / Brazil. pt-BR
dc.creator Silva Fuzzo, Daniela Fernanda da
dc.date 2018-05-04
dc.date.accessioned 2022-03-21T18:26:43Z
dc.date.available 2022-03-21T18:26:43Z
dc.identifier https://revistas.ufpr.br/raega/article/view/48474
dc.identifier 10.5380/raega.v44i0.48474
dc.identifier.uri http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/74525
dc.description Agriculture is an economic activity with high dependence on weather and climate. Special geotechnology and agrometeorological modeling can be used to optimize productivity in regional and national systems, while minimizing costs. The aim was to test the agrometeorological model for estimating crop soybean yield proposed by Doorenbos and Kassam (1979), using only spectral data as input variable in the model obtained by a simplified triangle method applied in Paraná state, for crop years 2002/03 to 2011/12. A high accuracy of the data was found, the model values for the parameter d1 ("d1" modified Willmott) were between 0.8 and 0.95, whereas the root mean squared error showed that there was low variation between 30.81 to 116.88 (kg ha-1) and the p-value was used as the indicator significance of the model at the level of 5%, indicating that there was no statistically significant difference between the estimated and observed data, this means that the average of the data estimated by the model were statistically equal the average of the observed data. Thus, we can say that images of remote sensing can be used as tools in the absence of surface information, in agrometeorological modeling to estimate crop soybean yield. pt-BR
dc.format application/pdf
dc.format application/pdf
dc.language por
dc.publisher UFPR pt-BR
dc.relation https://revistas.ufpr.br/raega/article/view/48474/35329
dc.relation https://revistas.ufpr.br/raega/article/view/48474/35305
dc.relation https://revistas.ufpr.br/raega/article/downloadSuppFile/48474/26544
dc.rights Direitos autorais 2018 Raega - O Espaço Geográfico em Análise pt-BR
dc.source RA'E GA Journal - The Geographic Space in Analysis; v. 44 (2018); 154-168 en-US
dc.source Raega - O Espaço Geográfico em Análise; v. 44 (2018); 154-168 pt-BR
dc.source 2177-2738
dc.source 1516-4136
dc.source 10.5380/raega.v44i0
dc.subject pt-BR
dc.subject Crop Yield; MODIS image; Remote Sensing; Vegetation Index pt-BR
dc.title SPECTRAL AGROMETEOROLOGICAL MODELING ADAPTED BY MEANS OF SIMPLIFIED TRIANGLE METHOD FOR SOYBEAN IN PARANÁ STATE – BRAZIL pt-BR
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/publishedVersion
dc.type pt-BR


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