
Random forest classification: A case study of dryland crop cover mapping in the Victorian Mallee using Sentinel-2A, Sentinel-3, and MODIS imagery
Publication year - 2021
Publication title -
modsim2021, 24th international congress on modelling and simulation.
Language(s) - English
Resource type - Conference proceedings
DOI - 10.36334/modsim.2021.b3.sabaghy
Subject(s) - remote sensing , random forest , cover (algebra) , environmental science , geology , computer science , artificial intelligence , mechanical engineering , engineering