Fluorescência induzida pelo sol, xco2 e ndvi em cana–de-açúcar do Centro-Sul do Brasil
Data
2018-02-28
Autores
Meneses, Kamila Cunha de
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Editor
Universidade Estadual Paulista (Unesp)
Resumo
O sensoriamento remoto é uma ferramenta importante no monitoramento e na previsão da qualidade e da quantidade de cultivos. Nos últimos anos, surgiram satélites com melhores resoluções espaciais, temporais e, principalmente, novos produtos, como a fluorescência da clorofila induzida pelo sol (SIF), a coluna média de CO2 atmosférico (XCO2), além do Índice da Vegetação da Diferença Normalizada (NDVI). A cana-de-açúcar é o principal cultivo para a produção de açúcar e bioenergia no mundo. A hipótese deste estudo é que o SIF e o XCO2 têm correlação com a taxa fotossintética, e o NDVI avalia o vigor do dossel ligado à biomassa verde. O estudo teve como objetivo analisar a relação entre SIF, Xco2 e NDVI com a produtividade e o nível de açúcar da cana–de–açúcar. O estudo foi realizado em locais representativos de uma das principais regiões de produção de cana-de-açúcar do mundo, na região Centro-Sul do Brasil. Quatro locais de estudo foram identificados para representar a região, sendo Pradópolis, Araraquara e Iracemápolis, no Estado de São Paulo, e Quirinópolis, no Estado Goiás, Brasil. Os dados foram coletados no período de 2015 a 2016, em sistemas de dados orbitais. Para as análises meteorológicas, foram utilizados dados diários ajustados na escala mensal. Os dados de toneladas de cana por hectare (TCH, em t ha-1) e o açúcar total recuperável (TSR, em kg t-1) foram coletados de talhões de cana- -de-açúcar de empresas da região e estratificados por nível de município, no período entre abril e novembro dos anos agrícolas de 2015/2016 e 2016/2017. Foram observadas fortes correlações lineares negativas entre os valores médios de SIF e Xco2, provavelmente devido à forte taxa fotossintética associada à cultura da cana-de-açúcar. Ocorreram correlações negativas entre SIF e NDVI, devido à natural senescência das folhas em talhões maduros, compreendendo um grande período no ciclo da planta. O período de maturação também resultou numa correlação positiva entre Xco2 e NDVI devido à diminuição de atividade fotossintética em talhões. Houve relação de SIF, Xco2 e NDVI com a produtividade e a quantidade de açúcar em cana-de-açúcar. O aumento de SIF correspondeu ao crescimento vegetativo da cana-de-açúcar, os valores de Xco2 indicaram o estabelecimento e a colheita do cultivo, e o NDVI, a fase de maturação da área. Foi possível estabelecer padrões sazonais de SIF, Xco2 e NDVI para o desenvolvimento do cultivo da cana-de-açúcar. Esses resultados indicam o potencial da SIF, Xco2 e NDVI na previsibilidade e no monitoramento de cultivos agrícolas.
Remote sensing is an important tool for monitoring and forecasting the quality and quantity of crops. In recent years, satellites with better spatial and temporal resolutions and, mainly, new products, such as the S olar - induced c hlorophyll F luorescence (SIF), the average column of atmospheric CO 2 and normalized difference vegetation index. The Sugarcane is the main crop for sugar and bioenergy production in the world. Our hypothesis is that SIF and Xco 2 have a correlation with the photosynt hetic rate and NDVI evaluate the canopy vigor, linked to the green biomass of crops. Thus, the objective of this study was to analyze the relationship between SIF, Xco 2 , and NDVI with sugarcane yield and sugar level. The study was conducted in representati ve locations of one of the main regions of sugarcane production in the world, in the C enter - S outh region of Brazil. Four study locations were identified to represent the region being, Pradópolis, Araraquara, and Iracemápolis in the São Paulo (SP) state and Quirinópolis in the Goiás (GO) state, Brazil. The data were collected in the period from 2015 to 2016 in orbital data systems. The meteorological analyses were used daily data adjusted in the monthly scale. The data of tons of cane per hectare (TCH, in t ha - 1 ) and total sugar recovery (TSR, in kg t - 1 ) were collected from sugarcane plots of companies in the region and stratified by level of the municipality in the period between April and November of the growing seasons 2015/2016 and 2016/2017. We observed strong negative linear correlations between the mean values of SIF and Xco 2 , probably due to the strong photosynthetic rate associated with the sugarcane crop. Negative correlations occurred between SIF and NDVI, due to the natural senescence of the leave s in mature plots comprising a large period in the vegetative cycle of the plant. The maturation period also resulted in a positive correlation between Xco 2 and NDVI due to the decrease of photosynthetic activity in plots. There was a relationship of SIF, Xco 2 , and NDVI with the yield and sugar quantity in sugarcane. The increase of SIF corresponded to the vegetative growth of the sugarcane, the values of Xco 2 indicated the establishment and harvest of the crop and NDVI, the maturation phase of the area. It was possible to establish seasonal patterns of SIF, Xco 2 and for the development of sugarcane crop. These results indicate the potential of SIF, Xco 2 , and NDVI in the predictability and monitoring of agricultural crops
Remote sensing is an important tool for monitoring and forecasting the quality and quantity of crops. In recent years, satellites with better spatial and temporal resolutions and, mainly, new products, such as the S olar - induced c hlorophyll F luorescence (SIF), the average column of atmospheric CO 2 and normalized difference vegetation index. The Sugarcane is the main crop for sugar and bioenergy production in the world. Our hypothesis is that SIF and Xco 2 have a correlation with the photosynt hetic rate and NDVI evaluate the canopy vigor, linked to the green biomass of crops. Thus, the objective of this study was to analyze the relationship between SIF, Xco 2 , and NDVI with sugarcane yield and sugar level. The study was conducted in representati ve locations of one of the main regions of sugarcane production in the world, in the C enter - S outh region of Brazil. Four study locations were identified to represent the region being, Pradópolis, Araraquara, and Iracemápolis in the São Paulo (SP) state and Quirinópolis in the Goiás (GO) state, Brazil. The data were collected in the period from 2015 to 2016 in orbital data systems. The meteorological analyses were used daily data adjusted in the monthly scale. The data of tons of cane per hectare (TCH, in t ha - 1 ) and total sugar recovery (TSR, in kg t - 1 ) were collected from sugarcane plots of companies in the region and stratified by level of the municipality in the period between April and November of the growing seasons 2015/2016 and 2016/2017. We observed strong negative linear correlations between the mean values of SIF and Xco 2 , probably due to the strong photosynthetic rate associated with the sugarcane crop. Negative correlations occurred between SIF and NDVI, due to the natural senescence of the leave s in mature plots comprising a large period in the vegetative cycle of the plant. The maturation period also resulted in a positive correlation between Xco 2 and NDVI due to the decrease of photosynthetic activity in plots. There was a relationship of SIF, Xco 2 , and NDVI with the yield and sugar quantity in sugarcane. The increase of SIF corresponded to the vegetative growth of the sugarcane, the values of Xco 2 indicated the establishment and harvest of the crop and NDVI, the maturation phase of the area. It was possible to establish seasonal patterns of SIF, Xco 2 and for the development of sugarcane crop. These results indicate the potential of SIF, Xco 2 , and NDVI in the predictability and monitoring of agricultural crops
Descrição
Palavras-chave
Fenologia, Modis, Nasa / power, OCO-2, Produtividade, Sacarose, Phenology, Yield, Sucrose