Dataset: Soil, Climate and Remote Sensing Data for Olive Yield Estimation in Andalusia (2017–2023)

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Authors: Ana Maria Tarquis, Rosa Gutiérrez-Cabrera, J. Borondo
Cited by: 0

Abstract

This dataset supports the manuscript: "An Integrated Smart Farming Framework for Olive Groves: Linking Soil, Climate and Remote Sensing Data for Yield Estimation". The dataset integrates soil properties derived from SoilGrids, Sentinel-2 NDVI time series, agroclimatic variables (temperature, precipitation and growing degree days), and olive production records for olive parcels located in Córdoba (Andalusia, Spain). The dataset covers the period 2017–2023 and includes parcel-level information, soil descriptors, climate indicators, NDVI time series and yield metrics used in the study. The data were used to analyse relationships between soil properties, canopy dynamics derived from Sentinel-2 NDVI, hydro-thermal indicators and olive biomass and oil yield.

Fields of Study & Subjects

Remote Sensing in Agriculture Smart Agriculture and AI Climate change impacts on agriculture

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 March 2026
Language
EN
Document type
Dataset