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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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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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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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Sugarcane yield estimates using time series analysis of spot vegetation images Scientia Agricola
Fernandes,Jeferson Lobato; Rocha,Jansle Vieira; Lamparelli,Rubens Augusto Camargo.
The current system used in Brazil for sugarcane (Saccharum officinarum L.) crop forecasting relies mainly on subjective information provided by sugar mill technicians and on information about demands of raw agricultural products from industry. This study evaluated the feasibility to estimate the yield at municipality level in São Paulo State, Brazil, using 10-day periods of SPOT Vegetation NDVI images and ECMWF meteorological data. Twenty municipalities and seven cropping seasons were selected between 1999 and 2006. The plant development cycle was divided into four phases, according to the sugarcane physiology, obtaining spectral and meteorological attributes for each phase. The most important attributes were selected and the average yield was classified...
Tipo: Info:eu-repo/semantics/article Palavras-chave: NDVI; Remote sensing; Data mining; Crop forecasting.
Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162011000200002
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Estimativa de áreas com culturas de verão no Paraná, por meio de imagens multitemporais EVI/Modis PAB
Johann,Jerry Adriani; Rocha,Jansle Vieira; Duft,Daniel Garbellini; Lamparelli,Rubens Augusto Camargo.
O objetivo deste trabalho foi estimar e mapear as áreas com as culturas de soja e milho, no Paraná, com uso de imagens multitemporais EVI/Modis. Foram avaliados os anos‑safra de 2004/2005 a 2007/2008. Em razão da alta dinâmica temporal e da heterogeneidade de datas de semeadura das culturas no estado, foram utilizadas cenas que contemplavam as fases de pré‑plantio e de desenvolvimento inicial das culturas, para gerar a imagem de mínimo EVI (IMIE), e cenas que consideravam o pico vegetativo das culturas, para gerar a imagem de máximo EVI (IMAE). Estas imagens foram utilizadas para gerar a composição colorida RGB (R, IMAE; GB, IMIE), o que permitiu a confecção de máscara das áreas com soja e milho. As estimativas das áreas de máscara por município foram...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Classificação de imagens; Distribuição espacial de culturas; Índice de vegetação; Mapeamento; Previsão de safras; Sensoriamento remoto.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2012000900015
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Correlation maps to assess soybean yield from EVI data in Paraná State, Brazil Scientia Agricola
Figueiredo,Gleyce Kelly Dantas Araújo; Brunsell,Nathaniel Allan; Higa,Breno Hiroyuki; Rocha,Jansle Vieira; Lamparelli,Rubens Augusto Camargo.
ABSTRACT Vegetation indices are widely used to monitor crop development and generally used as input data in models to forecast yield. The first step of this study consisted of using monthly Maximum Value Composites to create correlation maps using Enhanced Vegetation Index (EVI) from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor mounted on Terra satellite and historical yield during the soybean crop cycle in Paraná State, Brazil, from 2000/2001 to 2010/2011. We compared the ability of forecasting crop yield based on correlation maps and crop specific masks. We ran a preliminary regression model to test its ability on yield estimation for four municipalities during the soybean growing season. A regression model was developed for both...
Tipo: Info:eu-repo/semantics/article Palavras-chave: MODIS; Crop yield forecasting; Vegetation indices.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000500462
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