Full description
This dataset contains multispectral imagery and derived geospatial products collected during a teaching trial conducted at The University of Queensland. The trial aimed to demonstrate UAV-based remote sensing techniques and data processing workflows for students in agricultural and environmental science courses. A DJI 3 Multispectral UAV was used to capture high-resolution imagery across multiple spectral bands, including blue, green, red, red-edge, and near-infrared. Data were collected under clear-sky conditions following a standard reflectance calibration procedure using field calibration panels. Post-processing was performed using Agisoft Metashape to generate orthomosaics and digital elevation models (DEMs). The dataset provides both the raw multispectral images and the derived geospatial products for educational and research use. This dataset serves as a resource for learning about UAV data acquisition, image calibration, orthomosaic generation, and vegetation index analysis.Issued: 2025
Subjects
Agricultural, Veterinary and Food Sciences |
Agricultural Biotechnology |
Agricultural Biotechnology Diagnostics (Incl. Biosensors) |
Agricultural Management of Nutrients |
Agricultural Production Systems Simulation |
Agricultural Spatial Analysis and Modelling |
Agriculture, Land and Farm Management |
Agro-Ecosystem Function and Prediction |
Artificial Intelligence |
Crop and Pasture Production |
Information and Computing Sciences |
Modelling and Simulation |
Non-Genetically Modified Uses of Biotechnology |
eng |
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Other Information
Identifiers
- Local : RDM ID: a7ce28c9-329c-47d8-a503-ebe6707fabe6
- DOI : 10.48610/808C370
