INVITA Core site Ground-Based HTP platform Data

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Description: The dataset provides a comprehensive collection of raw data captured using ground-based sensors over several years, specifically focusing on wheat experiments conducted in Gatton, Palmer and Boorowa. The ground-based platforms incorporate a hyperspectral sensor, LiDAR (Light Detection and Ranging), spectrometer, and RGB cameras. This is a very large dataset (> 3TB) due to the raw nature of the data and the multiple dates that it was collected. The dataset encompasses experimental plots within the wheat trials, serving as specific features of interest. Researchers can extract valuable information such as vegetation indices, geometric traits, and ground-truth measurements from within these plots. Ground-truth data, including parameters like dry biomass, fresh biomass, Leaf Area Index, phenology, plant emergence, head number, and stem number, were recorded at key growth stages in conjunction with the sensor data. The dataset includes raw data from the ground-based sensors. It provides access to raw hyperspectral data, LiDAR point cloud data, spectrometer readings, and raw RGB images. These raw data sources can be used to conduct advanced analysis, algorithm development, and customized processing workflows tailored to specific research objectives. The dataset offers researchers the opportunity to explore and analyse the relationship between vegetation indices, geometric traits, and ground-truth data within the experimental plots of the wheat trials. By working with raw data from the hyperspectral sensor, LiDAR, spectrometer, and RGB cameras, researchers can delve into detailed analysis of wheat growth patterns, crop health, and geometric attributes within controlled experimental settings.