2024 Scott Teaching Trial

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.

本数据集包含昆士兰大学（The University of Queensland）某次教学实践中采集的多光谱影像与衍生地理空间产品。本次教学实践旨在为农业与环境科学课程的学生演示基于无人机（Unmanned Aerial Vehicle, UAV）的遥感技术与数据处理流程。本次实践采用大疆（DJI）3型多光谱无人机采集了覆盖多光谱波段的高分辨率影像，涵盖蓝、绿、红、红边与近红外波段。数据采集于晴朗天气条件下，并遵循标准反射率校正流程，使用野外校正面板完成校正。后处理阶段采用Agisoft Metashape软件进行处理，生成正射镶嵌图与数字高程模型（Digital Elevation Model, DEM）。本数据集同时提供原始多光谱影像与衍生地理空间产品，可供教育与科研使用。本数据集可作为学习无人机数据采集、影像校正、正射镶嵌图生成以及植被指数分析的教学资源。