ANÁLISE DA UNIFORMIDADE DE APLICAÇÃO DE ÁGUA POR AUTOPROPELIDO NA CULTURA DO MILHO, UTILIZANDO ÍNDICE DE VEGETAÇÃO POR DIFERENÇA NORMALIZADA (NDVI)
ANÁLISE DA UNIFORMIDADE DE APLICAÇÃO DE ÁGUA POR AUTOPROPELIDO NA CULTURA DO MILHO, UTILIZANDO ÍNDICE DE VEGETAÇÃO POR DIFERENÇA NORMALIZADA (NDVI)
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DOI: https://doi.org/10.22533/at.ed.9992427121
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Palavras-chave: irrigação, NDVI, distribuição de água, interpolação.
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Keywords: Irrigation, NDVI, water distribution, interpolation.
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Abstract: Water distribution uniformity is one of the main parameters for diagnosing the operating situation of a conventional sprinkler system, enabling the measurement of the variability of water applied by the system. On the other hand, non-uniformity of water distribution affects crop yield, and may result in areas with deficit or excess moisture. In this context, the objective of this study was to combine information from the evaluation of the distribution uniformity of a self-propelled system with the vegetation index (NDVI) and analyze the correlation between them. The evaluation of water distribution was performed using the Christiansen Uniformity Coefficient (CUC), dividing the area into three plots, according to the topography of the terrain. The images used to determine the normalized difference vegetation index (NDVI) were obtained from the Dove satellite, on the PlanetScope platform. From the processing of the images in the QGIS software, it was possible to identify the relationship between the CUC and the NDVI obtained. However, when performing the correlation analysis of the interpolated data and NDVI using the r.covar algorithm and the Pearson Coefficient (r) methodology, a negligible correlation was obtained between the variables. Therefore, the use of the methodology was not effective in indicating the relationship between water distribution uniformity and the Normalized Difference Vegetation Index (NDVI).
- Maria Clara Miranda de Souza
- Jessica Mansur Siqueira Crusoé
- Leonardo França da Silva
- Donizete dos Reis Pereira
- Fernanda Lamede Ferreira de Jesus
- Cristiano Márcio Alves de Souza
- Denis Medina Guedes
- Josiane Rosa Silva de Oliveira