Characterization of olive plantations from LANDSAT images

Authors

  • M. F. Pérez Nores National University of Cordoba. Faculty of Agricultural Sciences. Córdoba, Argentina
  • V. Gonzalez National University of Cordoba. Faculty of Agricultural Sciences. Córdoba, Argentina.
  • M. Paccioretti National University of Cordoba. Faculty of Agricultural Sciences. Córdoba, Argentina.
  • M. Nolasco National University of Cordoba. Faculty of Agricultural Sciences. Córdoba, Argentina.

Keywords:

NDVI, Oliviculture, Age, Irrigation System, La Rioja

Abstract

Remote sensing allows us to record the energy reflected by crops, to study their spatial and temporal variability. The objective of the work was to determine relationships between cultural management characteristics of olive plantations (Olea Europaea L.) and data derived from remote sensing. Eight lots located in La Rioja were surveyed during the period 2016-2018. Age, conduction system and irrigation were recorded. From 72 Landsat 8 images, the Normalized Difference Vegetation Index (NDVI) was obtained for each lot, a time series (2013-2019) was constructed and descriptive statistics of the index were calculated. The results allowed us to differentiate young growing plantations from adult plantations at the zenith of production. The temporal frequency of data collection made it possible to discriminate lots by age, type of irrigation system, and to identify times when specific tasks such as harvesting, suspension in the water supply and rainfall anomalies were carried out.

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Published

2020-01-01

Issue

Section

Reports of results/advances

How to Cite

Characterization of olive plantations from LANDSAT images. (2020). Nexo Agropecuario, 7(2), 14-18. https://revistas.psi.unc.edu.ar/index.php/nexoagro/article/view/27699