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PROJECT HOME INTEGRATING GIS WITH FIRE MODELS WUI DATA COLLECTION WUI REMOTE SENSING

Remote Sensing in the Wildland-Urban Interface (WUI)

(National Institute of Standards and Technology Fire Research Grant 60NANB11D173)

BACKGROUND PRE-FIRE ENVIRONMENT ACTIVE-FIRE ENVIRONMENT POST-FIRE ENVIRONMENT

Remote Sensing for Post-Fire Assessment


Remote sensing provides many opportunities for assessment of the post-fire environment.  Significant effort, however, is still required to develop robust correlations between remotely sensed estimates of post-fire effects across varied environments.  Nonetheless, Chu and Guo have provided a review of techniques for monitoring post-fire effects in boreal forest regions (Chu and Guo, 2014).  Assessment of the post-fire environment can also be divided into two general categories as portrayed in the Fire Disturbance Continuum and listed below:

  1. Post-Fire Environment:  this environment is assessed as soon as possible after the incident and provides indicators that can aid in characterizing burn severity, defensive actions and potentially other characteristics about the WUI and wildland environment directly after the fire.
  2. Response Environment:  this environment is assessed sometime after the fire to characterize the biological and physical response to the environment.  For a wildland environment this can be erosion of soils, re-colonization of vegetation or other "second-order fire effects".  Assessment of the response to the built environment is also possible and include types of building materials used in re-construction or number of structures re-built. 

In either case, the post-fire environment is a result of all the contributions from all the environments coming before the post-fire environment. (Jain, 2004).

Remote Sensing of Post-Fire Effects at 2014 Camp Swift Research Burns

Unmanned aerial systems (UAS) were utilized at the 2014 Camp Swift Research Burns for mapping of the post-fire environment as shown in the web map to the right.  Limited analysis of remote sensing of post-fire effects at the 2014 Camp Swift was conducted but a simple demonstration highlights the utility of simple pre-fire and post-fire multispectral imagery of fire environments.  Many prescribed burns, including Camp Swift initially, did not have plans for acquisition of both pre-fire and post-fire imagery.  At the recommendation of Dr. William Mell and Geospatial Measurement Solutions throughs this NIST grant, both pre-fire and post-fire multispectral imagery was collected.

The pre-fire imagery was essential to mapping fuels as described in the Active-Fire WUI Remote Sensing section.  The post-fire imagery was not used extensively but further study could occur.  Additionally, a simple excercise can demonstrate the utility of the remote sensing for research burns.

Remote Sensing of Post-Fire Effects for WUI Environments

As described in Maranghides et al (2015), remote sensing was used extensively to assess post-fire effects for the study of the Waldo Canyon Fire.  The application of remote sensing for the study of the Waldo Canyon Fire was unique in the field with the study being described as ground breaking by the National Fire Protection Association.  Unique to this study of the Waldo Canyon Fire was the application of remote sensing.  Never before has the spatiotemporal nature of a WUI scene been characterized to such detail.  The use of active fire ground imagery was essential to this characterization.  High-resolution post-fire imagery was also essential to the above described study of the Waldo Canyon Fire by highlighting the following indicators of fire behavior and human actions in the built environment during a WUI event:

  • Roof Damage:  spotting damage on roofs was identified through aerial assessments.  Some of this damage was missed by ground assessments due to not being able to see the roof from the ground.  This was an indicator of both spotting and defensive actions.
  • Lack of White Ash:  there was a distinct spectral difference between some residential structure destroyed by the Waldo Canyon Fire.  Those structures that had a blackened appearance were shown to be correlated with defensive actions of water suppression.  The blackened appearance is a result of lack of complete combustion of features due to first responders suppression the fire.  White ash is a indicator of complete combustion of features.
  • Lawn Furniture Piled on Lawn:  first responders were recorded as piling lawn furniture and other items in the center of green lawns to prevent igniition of these features and the underlying deck.  These piles of furniture could be identified in the high resolution post-fire imagery providing indicators of defensive actions.
  • Knocked Down Fences:  fences were identified as producers of embers during suppression of the Waldo Canyon Fire. First responders, consequently, began knocking down fences to prevent ember spread. These features could be readily identified in the post-fire imagery and correlated with defensive actions.
  • Dozer Lines:  dozer lines created as fire breaks were also readily identifiable in the post-fire imagery.

Other environments could have additional indicators that might help identify spotting fire behavior and defensive actions.  Defensive actions are basically never considered fully in the majority of historical fire assessments with some exceptions (e.g. Maranghides and McNamara, 2016, Maranghides et al., 2015; Maranghides et al., 2013).  The identification of the above described indicators allows for assessment of historic WUI fires in a different context.


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