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Applying the NDVI from satellite images in delimiting management zones for annual crops Scientia Agricola
Damian,Júnior Melo; Pias,Osmar Henrique de Castro; Cherubin,Maurício Roberto; Fonseca,Alencar Zachi da; Fornari,Ezequiel Zibetti; Santi,Antônio Luis.
ABSTRACT: The utilization of Normalized Difference Vegetation Index (NDVI) data obtained through satellite images can technically improve the process of delimiting management zones (MZ) for annual crops, resulting in socio-economic and environmental benefits. The aim of this study was to compare delimited MZ, using crop productivity data, with delimited MZ using the NDVI obtained from satellite images in areas under a no-tillage system. The study was carried out in three areas located in the state of Rio Grande do Sul, Brazil. Three crop productivity maps, from 2009 to 2015, were used for each area, whereby the NDVI was calculated for each crop productivity map using images from the Landsat series of satellites. Descriptive and geostatistical analysis were...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Fuzzy c-means clustering; Productivity data; Aerial images; Vegetation index.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000100101
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