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];  ...