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Correlations between spectral and biophysical data obtained in canola canopy cultivated in the subtropical region of Brazil 86
Pinto,Daniele Gutterres; Fontana,Denise Cybis; Dalmago,Genei Antonio; Fochesatto,Elizandro; Vicari,Matheus Boni; Bremm,Carolina; Cunha,Gilberto Rocca da; Gouvêa,Jorge Alberto de; Santi,Anderson.
Abstract: The objective of this work was to identify the spectral bands, vegetation indices, and periods of the canola crop season in which the correlation between spectral data and biophysical indicators (total shoot dry matter and grain yield) is most significant. The experiment was carried out during the 2013 and 2014 crop seasons at Embrapa Trigo, in the state of Rio Grande do Sul, Brazil. A randomized complete block design was used, with four replicates, and the treatments consisted of five doses of nitrogen topdressing. Plant dry matter, grain yield, and phenology were measured. The canola spectral response was evaluated by measuring the canola canopy reflectance using a spectroradiometer, and, with this data, the SR, NDVI, EVI, SAVI, and GNDVI...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Brassica napus; EVI; GNDVI; NDVI; SAVI; Spectroradiometry.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017001000825
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RELATIONSHIP BETWEEN COFFEE CROP PRODUCTIVITY AND VEGETATION INDEXES DERIVED FROM OLI / LANDSAT-8 SENSOR DATA WITH AND WITHOUT TOPOGRAPHIC CORRECTION 70
Nogueira,Sulimar M. C.; Moreira,Maurício A.; Volpato,Margarete M. L..
ABSTRACT The reflectance values of a coffee crop are influenced by several factors such as planting direction, crop spacing, time of the year, plant age and topography which reduces the accuracy of the estimates derived from remote sensing data. In this context were evaluated the relationships between coffee productivity and values of NDVI, SAVI and NDWI vegetation indexes with and without topographic reflectance correction for different coffee phenological phases for the crop years 2013/2014 (low productivity) and 2014/2015 (high productivity). The evaluations were made through the standard deviation of vegetation indices (VIs), linear relationship between the cosine factor and the VIs and between VIs and coffee productivity. The best phenological phases...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Coffee; NDVI; NDWI; Yield; SAVI; Remote sensing.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000300387
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