2017
DOI: 10.7127/rbai.v11n600648
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Variabilidade Espaço-Temporal Da Condição Da Vegetação Na Agricultura Irrigada Por Meio De Imagens Sentinel-2ª

Abstract: RESUMODiante da importância da irrigação em um cenário marcado pela crescente demanda por alimentos, é cada vez mais necessária a adoção de técnicas que possibilitem o devido monitoramento das áreas irrigadas a fim de se observar a dinâmica das condições dos cultivos. Isso se faz possível, de uma maneira rápida e de baixo custo, por meio de técnicas de sensoriamento remoto. Nesse contexto, o presente trabalho teve como objetivo avaliar, com auxílio do sensoriamento remoto, a variabilidade espaço-temporal das c… Show more

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Cited by 9 publications
(7 citation statements)
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“…It is necessary to adopt more efficient mechanisms in agricultural monitoring to identify vulnerable regions in crops, for the purpose of avoiding economic losses [1]. Remote sensing products have become significant in this matter, since they help with the monitoring of large areas and the identification of crop conditions in a systematic and fast way [2].…”
Section: Introductionmentioning
confidence: 99%
“…It is necessary to adopt more efficient mechanisms in agricultural monitoring to identify vulnerable regions in crops, for the purpose of avoiding economic losses [1]. Remote sensing products have become significant in this matter, since they help with the monitoring of large areas and the identification of crop conditions in a systematic and fast way [2].…”
Section: Introductionmentioning
confidence: 99%
“…Reference evapotranspiration was highest because the meteorological variables were decisive for its estimate, with incident solar radiation (282 W m -2 ) being the parameter of greatest influence (Pandey, Dabral, & Pandey, 2016 Table 3 shows the biophysical parameters throughout the irrigated maize cultivation cycle, for the different center pivots. The variables of α s , NDVI and T s are results of the status of the agroecosystems and allow the management of the crop to be directed to the more critical regions, generating significant gains to the production system (Ribeiro et al, 2017;Teixeira & Leivas, 2017). The highest mean αs (0.19 to 0.25) and Ts (35.15 to 39.65 ºC) occurred before sowing and after 168 DAS.…”
Section: Resultsmentioning
confidence: 99%
“…Given that the phenological stage for the maize crop was characterized from the methodology proposed in the FAO-56 report (Allen et al, 1998) and in view of the sensitivity of NDVI to the presence of pigments that participate in photosynthetic and biomass processes in the aerial part (Formaggio & Sanches, 2017;Ribeiro et al, 2017), we estimated the crop coefficient (Kc) from NDVI (Figure 2A). The equation was fitted based on the relationship between NDVI and Kc FAO , considering the area of the center pivots under study.…”
Section: Seminamentioning
confidence: 99%
“…Neste estudo, os valores que representaram solo exposto foram de 0,16 no SAVI a 0,23 no NDVI, ou seja, os menores valores dos índices de vegetação. Resultado semelhante foi verifi cado por Ribeiro et al (2017) que utilizando imagens sentinel em pivô central obteve valores de solo exposto de 0,20 para o NDVI.…”
Section: Resultsunclassified