This study investigated the relationship between the vegetation regrowth process and flooding following wildfire events in Arizona within the Lower Colorado River Basin. Extensive studies have been conducted on post-burnout rainfall-run-off relationships or post-burnout vegetation regeneration, but few establish a relationship between both processes. In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) Earth observations were first used to create a surface indicating vegetation regrowth rate on a per-pixel basis following historical wildfire events.
Next, historical flood events were identified in the NOAA PERSIANN precipitation Climate Data Records to establish precipitation trends associated with increased post-wildfire flooding risk. The relationships between precipitation anomalies, time since the fire, and vegetation regrowth were then used to predict flooding. By utilizing remotely-sensed vegetation and precipitation data in a study area with limited in situ data, this analysis developed an additional long-term predictive tool for managing future post-fire hazards.