Multispectral NDVI imagery dataset (Green, Red, Red-Edge, NIR and RGB) with radiometric correction coefficients

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Authors: Keony Jiménez Restrepo, Esteban Velilla, Juan Bernardo Cano-Quintero
Cited by: 0

Abstract

This dataset contains raw multispectral imagery acquired using an NDVI camera. The dataset includes four spectral channels (Green, Red, Red-Edge, and Near-Infrared) and one RGB reference image captured during the same acquisition session. The images were obtained for vegetation analysis and spectral index computation. Each spectral band is provided as an independent image file preserving the original sensor output. Additionally, a CSV file is included containing the channel-based coefficients extracted for radiometric correction. These coefficients allow normalization and reproducibility of vegetation index calculations derived from the images. File formats: Multispectral images: TIFF RGB image: JPG Radiometric coefficients: CSV file The dataset is intended to support reproducible research in vegetation monitoring, NDVI analysis, and remote sensing applications.

Fields of Study & Subjects

Remote Sensing in Agriculture Remote-Sensing Image Classification Remote Sensing and Land Use

Publication details

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