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Cooperative Institute for Research to Operations in Hydrology

FIMPEF Workshop

FIMPEF- A Python package for automatic evaluation of flood inundation mapping predictions

Day 2 Session 2 (10:30 PM)

Presenters:

Dipsikha Devi, University of Alabama Email
Supath Dhital, University of Alabama Email
Sagy Cohen, University of Alabama Email

The accuracy of the flood inundation mapping (FIM) is critical for model development and disaster preparedness. Evaluating FIM with a high-quality benchmark dataset identifies the inconsistencies and discrepancies associated with the model FIM. Evaluating flood maps from different sources using geospatial platforms can be tedious and requires repeated processing and analysis for each map. FIMPEF, a Python-based FIM prediction evaluation framework, enables large scale FIM evaluation using a streamlined comparison of predicted FIM against a large number of benchmark FIMs. FIMPEF includes an option to incorporate permanent waterbodies as non-flood pixels with a user input file or pre-set dataset. In addition to traditional evaluation metrics, FIMPEF offers a comparison of the number of buildings inundated using a user input file or a pre-set dataset. This workshop will cover FIM evaluation theory and hands-on application using FIMPEF.

Learning Outcomes:

  • Understand basic concepts in FIM evaluation, including best practices and shortcomings.
  • Learn about evaluating a large number of case studies with the tools developed by presenters.
  • Learn about techniques to generate flood extents and their impact on FIM evaluation.

Prerequisites:

Knowledge:

  • Basic knowledge of hydrology and flood inundation maps.
  • Familiarity with Python language.
  • Basic knowledge of GIS- raster and vector formats, coordinate system.

Hardware/Software:

Accounts: