This page provides an incomplete list of resources for learning GeoAI.
Papers:
- GeoAI Special Issue on the International Journal of Geographical Information Science.
- Proceedings of the 2019 ACM SIGSPATIAL Workshop on GeoAI
- Proceedings of the 2018 ACM SIGSPATIAL Workshop on GeoAI
- Proceedings of the 2017 ACM SIGSPATIAL Workshop on GeoAI
- Zhu, X.X., Tuia, D., Mou, L., Xia, G.S., Zhang, L., Xu, F. and Fraundorfer, F., 2017. Deep learning in remote sensing: A comprehensive review and list of resources. IEEE Geoscience and Remote Sensing Magazine, 5(4), pp.8-36.
- Yuan, Q., Shen, H., Li, T., Li, Z., Li, S., Jiang, Y., Xu, H., Tan, W., Yang, Q., Wang, J. and Gao, J., 2020. Deep learning in environmental remote sensing: Achievements and challenges. Remote Sensing of Environment, 241, p.111716.
Tutorials:
Others:
- GeoAI Data Science Virtual Machine
- Microsoft AI for Earth Initiative including grants
- Podcast – Location Intelligence + Artificial Intelligence: Making Data Smarter, Part 1
- Podcast – Location Intelligence + Artificial Intelligence: Making Data Smarter, Part 2
- Podcast – How AI and Location Intelligence Can Drive Business Growth