Data for: Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging

Name: Data for: Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging
Creator: Yuri Shendryk
Published: 2020-06-24T14:50:25.301Z
Keywords: Principal Component Analysis, Fertilization, Nitrogen, Lidar Remote Sensing, Biomass, Sugarcane, Crop Yield, Optical Remote Sensing

Shendryk, Yuri; Skocaj, Danielle; Thorburn, Peter; Sofonia, Jeremy; Rist, Yannik; Garrard, Robert

doi:10.17632/wck5rrxxy7.1

Data for: Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging

Published: 24 June 2020| Version 1 | DOI: 10.17632/wck5rrxxy7.1

Contributors:

Yuri Shendryk, Danielle Skocaj, Peter Thorburn, Jeremy Sofonia, Yannik Rist, Robert Garrard

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This repository contains the data used to generate the results for the paper: Yuri Shendryk, Jeremy Sofonia, Robert Garrard, Yannik Rist, Danielle Skocaj, and Peter Thorburn (2020). Fine-scale Prediction of Leaf Nitrogen Content and Yield in Sugarcane using UAV LiDAR and Multispectral Imaging. The data to reproduce results could be also found here: https://github.com/RobGarrard/Fine-scale-prediction-of-leaf-nitrogen-content-and-yield-in-sugarcane. For any queries regarding these codes please contact robert.garrard@csiro.au or yuri.shendryk@csiro.au.

Data for: Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging

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