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Resources

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:

  • Learn ArcGIS Lesson – Predict Seagrass with Machine Learning

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

Recent Posts

  • Thank you all for a wonderful AAG workshop!
  • Dr. Hu to lead an AAG Workshop on Integrating Machine Learning into Geographic Research
  • Merry Christmas and Happy New Year!
  • Dr. Hu was interviewed by the Britannica Kids Encyclopedia on geospatial technologies and AI
  • New paper on aligning geographic entities from historical maps for building knowledge graphs accepted in IJGIS
  • New paper on a five-star guide for achieving replicability and reproducibility published in the Annals of AAG
  • New paper on the removal of precise geotagging in tweets published in Nature Human Behaviour
  • Three new book chapters accepted in the Handbook of Big Geospatial Data
  • GeoAI Lab receives a new Microsoft AI for Earth Compute Grant for using GeoAI to model an open ecosystem in South Africa for biodiversity protection
  • How do people describe locations during a natural disaster? New paper examining tweets from Hurricane Harvey is accepted in GIScience 2021
  • Congratulations to lab member Jimin Wang on finishing his master thesis on Advancing Spatial and Textual Analysis with GeoAI
  • New paper on a Neuro-net ToPonym Recognition Model (NeuroTPR) accepted in Transactions in GIS

Archives

  • February 2021
  • January 2021
  • December 2020
  • November 2020
  • October 2020
  • September 2020
  • August 2020
  • July 2020
  • June 2020
  • May 2020
  • April 2020
  • March 2020
  • February 2020
  • January 2020
  • December 2019
  • November 2019
  • October 2019
  • September 2019
  • July 2019
  • June 2019
  • May 2019
  • April 2019

Related Links

  • Department of Geography
  • NCGIA-UB

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