Data Mining Application in Wildfires' Forecasting

DATA MINING APPLICATION IN WILDFIRES’ FORECASTING

DATA MINING APPLICATION IN WILDFIRES’ FORECASTING
Table of Contents
INTRODUCTION...........................................................................................................................3
PROBLEM STATEMENT..............................................................................................................4
LITERATURE REVIEW................................................................................................................5
DATA COLLECTION AND PREPARATION..............................................................................7
DATA ANALYSIS AND EVALUATION OF RESULTS............................................................8
CONCLUSION................................................................................................................................9
REFERENCES..............................................................................................................................10
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DATA MINING APPLICATION IN WILDFIRES’ FORECASTING
INTRODUCTION
Wildfires have increasingly become frequent natural occurrences over the past decade.
These occurrence have been propagated by the intensity of the effects of climate change (Potera,
2009). Recent years have seen bigger, more aggressive and more sporadic wildfires in the
traditional fire zones such as California, Australia and Greece (NASA, 2018).
However, there has also been abnormal patterns in the occurrence and spread of
wildfires. A case in point for the abnormality in the spreading of wildfire is that of Portugal in
2018 (NASA, 2018). The Scandinavian countries of Sweden and Norway have also been
exposed to abnormal patterns in 2018 (NASA, 2018).
The wildfires not only destroy vegetation cover, the destruction is often extended to
human life and property. This emphasizes on the need for prevention, containment and
mitigation of wildfires (Potera, 2009). The advancements in technology and data mining provide
an opportunity for better management of wildfires around the world.
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