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