1. The world’s user-generated road map is more than 80% complete
2. Basu S. Bonafilia D. Gill J. Kirsanov D. &Yang D.(2019).Mapping roads through deep learning and weakly supervised training. MetaAI Research ML Applications blog. Retrieved fromhttps://ai.facebook.com/blog/mapping-roads-through-deep-learning-and-weakly-supervised-training/
3. Canada Centre for Remote Sensing. (2019).2015 land cover of Canada. Government of Canada Open Data. Retrieved fromhttps://open.canada.ca/data/en/dataset/4e615eae-b90c-420b-adee-2ca35896caf6
4. Center for International Earth Science Information Network (CIESIN). (2013).Global roads open access data set Version 1 (gROADSv1). NASA Socioeconomic Data and Applications Center (SEDAC). Retrieved fromhttps://sedac.ciesin.columbia.edu/data/set/groads-global-roads-open-access-v1
5. Detection and Vectorization of Roads from Lidar Data