Agrometeorological Indicators based on Satellite Imagery in Western Bahia, Brazil.

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Author(s): LEIVAS, J. F.; TEIXEIRA, A. H. DE C.; TAKEMURA, C. M.; GARCON, E. A. M.

Summary: The western region of Bahia stands out for its large-scale agricultural activity, which uses advanced technology and produces high yields of soybeans, corn and cotton, making it the largest grain producer in Northeast Brazil. The aim of this study is to apply the SAFER algorithm to biophysical indicators, in order to analyze the dynamics of natural vegetation and irrigated crops throughout the crop cycle. The model requires data from meteorological stations and satellite images for its application. Sixty-nine MODIS satellite images with a 250-m spatial resolution and a 16-day temporal resolution taken from 2016 to 2018 were used. The method was effective as a tool to monitor agricultural crops, and to distinguish the phases and vigor of the crops according to the spectral characteristics of their surface. The results of this study may assist in the monitoring of crops and in decision making, and may contribute to the rational use of water resources for irrigation and management of rainfed crops.

Publication year: 2020

Types of publication: Journal article

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