Quantification of dead vegetation fraction in mixed pastures using AisaFENIX imaging spectroscopy data. - Rajasheker Reddy Pullanagari; Gabor Kereszturi; Ian J. Yule (Int. J. Appl. Earth Obs. Geoinformation, 2017)

Modelling of Near-Surface Soil Moisture Using Machine Learning and Multi-Temporal Sentinel 1 Images in New Zealand. - Istvan Hajdu; Ian J. Yule; Mohammad Hossain Dehghan-Shear (IGARSS, 2018)

Determining Uncertainty Prediction Map of Copper Concentration in Pasture from Hyperspectral Data Using Qunatile Regression Forest. - Rajasheker Reddy Pullanagari; Gabor Kereszturi; Ian J. Yule; Matthew Irwin (IGARSS, 2018)

Integrating Airborne Hyperspectral, Topographic, and Soil Data for Estimating Pasture Quality Using Recursive Feature Elimination with Random Forest Regression. - Rajasheker Reddy Pullanagari; Gabor Kereszturi; Ian J. Yule (Remote. Sens., 2018)

Early Detection of Ganoderma boninense in Oil Palm Seedlings Using Support Vector Machines. - Aiman Nabilah Noor Azmi; Siti Khairunniza-Bejo; Mahirah Jahari; Farrah Melissa Muharam; Ian J. Yule; Nur Azuan Husin (Remote. Sens., 2020)

What Does a Nation-Wide Digital Nervous System Use for an Operating System? - Nicolás Erdödy; Richard O'Keefe; Ian J. Yule (CARLA, 2023)

A Unified Physically Based Method for Monitoring Grassland Nitrogen Concentration with Landsat 7, Landsat 8, and Sentinel-2 Satellite Data. - Mohammad Hossain Dehghan-Shoar; Rajasheker Reddy Pullanagari; Gabor Kereszturi; Alvaro A. Orsi; Ian J. Yule; James Hanly (Remote. Sens., 2023)

A physically informed multi-scale deep neural network for estimating foliar nitrogen concentration in vegetation. - Mohammad Hossain Dehghan-Shoar; Gabor Kereszturi; Rajasheker Reddy Pullanagari; Alvaro A. Orsi; Ian J. Yule; James Hanly (Int. J. Appl. Earth Obs. Geoinformation, 2024)