Applying the NDVI from satellite images in delimiting management zones for annual crops

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,...

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Bibliographic Details
Published in:	Scientia agricola Vol. 77; no. 1
Main Authors:	Damian, Júnior Melo, Pias, Osmar Henrique de Castro, Cherubin, Maurício Roberto, Fonseca, Alencar Zachi da, Fornari, Ezequiel Zibetti, Santi, Antônio Luis
Format:	Journal Article
Language:	English
Published:	Escola Superior de Agricultura "Luiz de Queiroz" 2020 Universidade de São Paulo
Subjects:	aerial images AGRICULTURE, MULTIDISCIPLINARY fuzzy c-means clustering productivity data vegetation index vegetation index fuzzy c-means clustering aerial images productivity data
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Summary:	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 conducted to determine the productivity and NDVI data. The MZ were then delimited using the fuzzy c-means algorithm. Spearman's correlation matrix was used to compare the methodologies used for delimiting the MZ. The MZ based on NDVI calculated from the satellite images correlated with the MZ based on crop productivity data (0.48 < r < 0.61), suggesting that the NDVI can replace or be complementary to productivity data in delimiting MZ for annual cropping systems.
ISSN:	1678-992X 1678-992X
DOI:	10.1590/1678-992x-2018-0055