AFEIM

AFEIM #

AFEIM (Agriculture, Forestry, and Ecosystem service Integrated Model) is IIASA’s Python framework for simulating how wildfires and other disturbances affect forests under different climate and management scenarios. You can use it through a desktop GUI or as a Python package.

The public build doesn’t include emission and pollutant estimates, dynamic FLAM–G4M coupling, the bark-beetle add-on, or FLAM-Net. For the full version, contact the IIASA FLAM team.

Where to start #

  1. Getting started: install AFEIM and open the GUI.
  2. Input data: formats, units and file naming that every tool expects.
  3. Configuration: enter your data paths once.
  4. FLAM workflow: go from weather data to burned area, one step at a time.
  5. Python API: script the whole FLAM run.

If something goes wrong, see Troubleshooting.

Citation #

If you use AFEIM/FLAM, please cite:

  • Jo, H.-W., Krasovskiy, A., Hong, M., Corning, S., Kim, W., Kraxner, F., & Lee, W.-K. (2023). Modeling historical and future forest fires in South Korea: The FLAM optimization approach. Remote Sensing, 15(5), 1446. doi:10.3390/rs15051446
  • Jo, H.-W., Won, M.-S., Kraxner, F., Jeon, S., Son, Y., Krasovskiy, A., & Lee, W.-K. (2025). Projecting forest fire probability in South Korea under climate change, population, and forest management scenarios using AI & process-based hybrid model (FLAM-Net). IEEE JSTARS. doi:10.1109/JSTARS.2025.3564852

AFEIM is released under the Apache License 2.0. Bundled boundary datasets are licensed CC BY 4.0 / CC BY-SA 4.0.