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Radarsat backscattering from an agricultural scene PAB
Formaggio,Antonio Roberto; Epiphanio,José Carlos Neves; Simões,Maurício dos Santos.
Orbital remote sensing in the microwave electromagnetic region has been presented as an important tool for agriculture monitoring. The satellite systems in operation have almost all-weather capability and high spatial resolution, which are features appropriated for agriculture. However, for full exploration of these data, an understanding of the relationships between the characteristics of each system and agricultural targets is necessary. This paper describes the behavior of backscattering coefficient (sigma°) derived from calibrated data of Radarsat images from an agricultural area. It is shown that in a dispersion diagram of sigma° there are three main regions in which most of the fields can be classified. The first one is characterized by low...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Remote sensing; Radar; Land use; Farmland.
Ano: 2001 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2001000500013
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Growth indices ans productivity in sugarcane Scientia Agricola
Simões,Maurício dos Santos; Rocha,Jansle Vieira; Lamparelli,Rubens Augusto Camargo.
A knowledge about the temporal development of agronomic variables in sugarcane is a very important aspect for the development of crop yield prediction models using remote sensing, and further studies are still needed. This paper describes the temporal evolution of sugarcane biophysical parameters, such as total biomass, leaf area index, number of plants per meter, and productivity. During two seasons, a commercial field in Araras/SP, planted with variety SP80-1842, on the 4th and 5th cuts, was monitored on eight different dates, and data were obtained for 2 m of sugarcane in three crop rows at 18 sampling points. Linear and multiple regression analyses were used to study growth analysis and to correlate agronomic variables (leaf area index and number of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Biomass; Leaf area index; Crop temporal evolution.
Ano: 2005 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162005000100005
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Orbital spectral variables, growth analysis and sugarcane yield Scientia Agricola
Simões,Maurício dos Santos; Rocha,Jansle Vieira; Lamparelli,Rubens Augusto Camargo.
Temporal analysis of crop development in commercial fields requires tools for large area monitoring, such as remote sensing. This paper describes the temporal evolution of sugar cane biophysical parameters such as total biomass (BMT), yield (TSS), leaf area index (LAI), and number of plants per linear meter (NPM) correlated to Landsat data. During the 2000 and 2001 cropping seasons, a commercial sugarcane field in Araras, São Paulo state, Brazil, planted with the SP80-1842 sugarcane variety in the 4th and 5th cuts, was monitored using nine Landsat images. Spectral data were correlated with agronomic data, obtained simultaneously to the imagery acquisition. Two methodologies were used to collect spectral data from the images: four pixels (2 × 2) window and...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Biomass; Leaf area index; Crop development analysis; Spectral behavior.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000400004
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Spectral variables, growth analysis and yield of sugarcane Scientia Agricola
Simões,Maurício dos Santos; Rocha,Jansle Vieira; Lamparelli,Rubens Augusto Camargo.
Spectral information is well related with agronomic variables and can be used in crop monitoring and yield forecasting. This paper describes a multitemporal research with the sugarcane variety SP80-1842, studying its spectral behavior using field spectroscopy and its relationship with agronomic parameters such as leaf area index (LAI), number of stalks per meter (NPM), yield (TSS) and total biomass (BMT). A commercial sugarcane field in Araras/SP/Brazil was monitored for two seasons. Radiometric data and agronomic characterization were gathered in 9 field campaigns. Spectral vegetation indices had similar patterns in both seasons and adjusted to agronomic parameters. Band 4 (B4), Simple Ratio (SR), Normalized Difference Vegetation Index (NDVI), and Soil...
Tipo: Info:eu-repo/semantics/article Palavras-chave: NDVI; Vegetation index; Biomass; Field spectroscopy; Temporal evolution.
Ano: 2005 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162005000300001
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