Sunday, September 30, 2012

GIS Helping Predict Future Forest Fires


https://lms.southwestern.edu/file.php/3722/Literature/Verbesselt-2002-EstimatingForestFires.pdf


Wildfire Risk Assessment in Virginia
 
Forest fires as a regular occurrence throughout the world. In previous history, fighting forest fires has been more reactive than proactive. With the use of new technology, specifically GIS, monitoring techniques can be used through satellite acquired data to look at certain characteristics that create an optimal situation for a forest fire. Looking at vegetation moisture, referenced with land cover, climatology, and other environmental aspects can result in the prediction of futuristic forest fires and help in the creation of fire prevention models.
            To fully understand the use of GIS as a way to predict future forest fires, one must first look deeper at the extensive characteristics that can affect the start of a forest first. Vegetation moisture is an obvious detail in prediction of forest fires, but there are numerous aspects of vegetation moisture that are acquired from the information. Explained in Estimation of fuel moisture context towards Fire Risk Assessment: A Review by J. Verbesselt, S. Fleck and P. Coppin (2002) , vegetation moisture helps show fire behavior factors such as “preheating and ignition of unburned fuels, rate of fire spread (or fire growth), rate of energy release, and production of smoke by burning and smoldering fuel” (p.1). Such statistical data as thermal remote sensing (which relates leaf water content to evapotranspiration rates) and thermal inertia method (which studies the daily rise and fall of temperatures in context of describing soil moisture) allow GIS to spatial show the information in a way that allows for prediction of forest fires. Futuristically, there is also the possibility that “manipulations of fuel type, load and arrangement could be used to help protect local areas of high value” (Verbesselt, Fleck & Coppin, 2002, p. 2). With these methods and numerous others Verbesselt, Fleck and Coppin (2002), in collaboration with GIS and coarse resolution imagery, prediction of forest fires forms “very sound approach is the integrated analysis of fire danger based on the combination of satellite data and meteorological danger indices” (p.8). The practical use of these models has been used by Flannigan, which results show that “the seasonal severity rating (SSR) will increase by 10-50% over most of North America” (Verbesselt, Fleck & Coppin, 2002, p.8). Finally, the ability of GIS and forest fire prediction models needs to be placed in a context that allows for a balance between the land owners and the environment, in hopes to people and resources from the destruction of fires while also not reduces the ecological niche of those fires.

            Forest fires can be extremely beneficial to the ecology of numerous environments, yet the ability to maintain these fires and reduce their impact on society is something that can have a great impact and needs to be researched further. With the technological advancements in recent history, GIS has taken a large role in gaining data on areas that has historical fire occurrence and those that may futuristically have fires. From this, the ability to predict and not react to forest fires has become more of a practical possibility.  

 

Works Cited

Verbesselt, J., Fleck, S., & Coppin, F. (2002). Estimation of fuel moisture content towards fire risk assessment: A review. Forest Fire Research and Wildland Safety Viegas (ed)

4 comments:

  1. I like how you started off with a picture to catch the reader's attention! Who knew that the range of increase of forest fires in the future would stretch as far as 50%! Might the GIS data, or other data be able to narrow down the 10%-50% range, allowing for others to better quantify and/or qualify forests coming their way?

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  2. Reading this summary made me think of this trip I went on Bamberger Ranch near San Antonio. The man who owns the land has been restoring it for the past 40 years from a severely degraded state and it is truly amazing how far the land has come. Our guide talked about how cedar trees are a somewhat invasive species and had completely taken over the land (as they have in other areas of Texas as well), because wildfires used to be a regular part of the ecosystem and would burn down many of the cedar trees, and without the fires to keep them in check they got out of control. GIS could be used in this case to manage wildfires in a way that both protects people and preserves the ecosystems of the Texas environment.

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  3. This application of GIS is very exciting, and could revolutionize forest conservation and the protection of humans and wildlife against out-of-control forest fires. The information from this kind of research can tell people what parts of forests need to be burned and what parts need to be cleaned out and are too risky to burn. GIS can give a comprehensive birds eye view that would take forest and park rangers months to get from research on the ground alone.

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  4. Its amazing that there is a program out there (GIS) that can predict the probability of a fire occurring. It can also reduce the rates of a huge fire's breaking out, if we look at areas of concern and do a controlled burn it is less likely that it could go up in flames by itself. Controlled fires is something Native American's started a long time ago and it is necessary for the grasses to grow properly and to rejuvenate soil from degradation by performing these fires. So not only could this program save lives, it could prevent large fires from destroying infrastructure. Lets use GIS and keep people's houses up!

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