Discrimination of remnant tree species and regeneration stages in Queensland, Australia using hyperspectral imagery. - Armando A. Apan; Stuart R. Phinn; Tek Maraseni (WHISPERS, 2009)

Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques. - Malini Roy Choudhury; Sumanta Das; Jack Christopher; Armando A. Apan; Scott C. Chapman; Neal W. Menzies; Yash P. Dang (Remote. Sens., 2021)

Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models. - Thong Nguyen-Huy; Ravinesh C. Deo; Shahjahan Khan; Aruna Devi; Adewuyi Ayodele Adeyinka; Armando A. Apan; Zaher Mundher Yaseen (IEEE Access, 2022)

Convolutional Neural Network-Based Deep Learning Approach for Automatic Flood Mapping Using NovaSAR-1 and Sentinel-1 Data. - Ogbaje Andrew; Armando A. Apan; Dev Raj Paudyal; Kithsiri Perera (ISPRS Int. J. Geo Inf., 2023)

Modelling Floodplain Vegetation Response to Climate Change, Using the Soil and Water Assessment Tool (SWAT) Model Simulated LAI, Applying Different GCM's Future Climate Data and MODIS LAI Data. - Newton Muhury; Armando A. Apan; Tek Maraseni (Remote. Sens., 2024)

Modelling future spatial distribution of peanut crops in Australia under climate change scenarios. - Haerani Haerani; Armando A. Apan; Thong Nguyen-Huy; Badri Basnet (Geo spatial Inf. Sci., 2024)