Satellite images and road-reference data for AI-based road mapping in Equatorial Asia

1. INTRODUCTION For the purposes of training AI-based models to identify (map) road features in rural/remote tropical regions on the basis of true-colour satellite imagery, and subsequently testing the accuracy of these AI-derived road maps, we produced a dataset of 8904 satellite image 'tiles' and their corresponding known road features across Equatorial Asia (Indonesia, Malaysia, Papua New Guinea). 2. FURTHER INFORMATION The following is a summary of our data. Fuller details on these data and their underlying methodology are given in the corresponding article, under consideration by the journal Remote Sensing as of September 2023: Sloan, S., Talkhani, R.R., Huang, T., Engert, J., Laurance, W.F. (2023) Mapping remote roads using artificial intelligence and satellite imagery. Under consideration by Remote Sensing. Correspondence regarding these data can be directed to: Sean Sloan Department of Geography, Vancouver Island University, Nanaimo, B.C, Canada [e-mail]; Tao (Kevin) Huang College of Science and Engineering, James Cook University, Cairns, Queensland 4878, Australia [e-mail]