Publications
Research

GeoSMART Publications

Research publications produced by GeoSMART investigators and collaborators.

  1. Sun, Z., Sandoval, L., Crystal-Ornelas, R., Mousavi, S. M., Wang, J., Lin, C., Cristea, N., Tong, D., Carande, W. H., Ma, X., Rao, Y., Bednar, J. A., Tan, A., Wang, J., Purushotham, S., Gill, T. E., Chastang, J., Howard, D., Holt, B., Gangodagamage, C., Zhao, P., Rivas, P., Chester, Z., Orduz, J., & John, A. (2022). A review of Earth Artificial Intelligence. Computers & Geosciences, 159, 105034. https://doi.org/10.1016/j.cageo.2022.105034
  2. Janga, B., Asamani, G., Sun, Z., & Cristea, N. (2023). A Review of Practical AI for Remote Sensing in Earth Sciences. Remote Sensing, 15(16), 4112. https://doi.org/10.3390/rs15164112
  3. MacKie, E. J., Field, M., Wang, L., Yin, Z., Schoedl, N., Hibbs, M., & Zhang, A. (2023). GStatSim V1.0: a Python package for geostatistical interpolation and conditional simulation. Geoscientific Model Development, 16(13), 3765-3783. https://doi.org/10.5194/gmd-16-3765-2023
  4. John, A., Cannistra, A. F., Yang, K., Tan, A., Shean, D., Hille Ris Lambers, J., & Cristea, N. (2022). High-Resolution Snow-Covered Area Mapping in Forested Mountain Ecosystems Using PlanetScope Imagery. Remote Sensing, 14(14), 3409. https://doi.org/10.3390/rs14143409
  5. John, A., Theobald, E. J., Cristea, N., Tan, A., & Hille Ris Lambers, J. (2024). Using photographs and deep neural networks to understand flowering phenology and diversity in mountain meadows. Remote Sensing in Ecology and Conservation. https://doi.org/10.1002/rse2.382
  6. Yang, K., John, A., Shean, D., Lundquist, J. D., Sun, Z., Yao, F., Todoran, S., & Cristea, N. (2023). High-resolution mapping of snow cover in montane meadows and forests using Planet imagery and machine learning. Frontiers in Water, 5. https://doi.org/10.3389/frwa.2023.1128758
  7. Sun, Z., ten Brink, T., Carande, W., Koren, G., Cristea, N., Jorgenson, C., et al. (2024). Towards practical artificial intelligence in Earth sciences. Computational Geosciences, 28(6), 1305-1329. https://doi.org/10.1007/s10596-024-10317-7
  8. Narock, T., Johnson, J. M., Singh-Mohudpur, J., & Rad, A. M. (2025). Building occupancy type classification and uncertainty estimation using machine learning and open data. Environmental Data Science, 4, e10. View publication