Tracing how Landsat data helps foster fire-adapted communities in Colorado through data-driven, science-informed planning

Mitigation planning to enhance resilience of communities living near Wildland-Urban Interfaces (WUIs)

Shifting patterns of ambient temperature and precipitation introduce a new level of uncertainty into risk management practices for communities in the proximity of Wildland-Urban Interfaces (WUIs). Adaptive management of these risks has to be the new norm for such communities at risk. This reinforces the value of risk management that are, to an extent, repeatable year after year, informed by the best available science and data. Capturing the provenance of science-informed, data-driven risk management facilitates the "swapping out" of outdated parts of the process (e.g. data, policies, protocols) in the future.

The narrative below, assembled from draft concept maps developed for the specific purpose of demonstrating this ESIP climate and agriculture data-to-decisions provenance trace, is an informal way to tell the story of how Landsat data can be used to inform sections of a Community Wildfire Protection Plan that describes wildfire hazards threatening a community at risk. A more formal representation of this provenance trace is beyond the scope of this experiment.

However, we hope that this narrative gives you an idea of how you can use concepts in the c-soup repository to tell a story about how data could be used to inform a hazard mitigation plan. In this example, the mitigation plan - a Community Wildfire Protection Plan - has a role to play in a law passed by an act of the US Congress (Healthy Forests Restoration Act of 2003, Public Law 108-148) which prioritizes funding for hazard mitigation projects.

The nodes below are clickable, but you would be left scrolling around madly within the restricted size window. Click here instead to render the full-scale concept map below in your browser window.