PREDICTING FOREST FIRES WITH DIFFERENT DATA MINING TECHNIQUES
Madhurima De
, Linika Labdhi , Bindu Garg
Forest fires are one of the most frequently occurring disasters in recent years. The behaviour of forest fire and its severity result from a combination of factors such as available fuels, physical setting, and weather. Analysis of historical meteorological data and national fire records in western North America show the primacy of climate in driving large regional fires via wet periods that create substantial fuels, or drought and warming that extend conducive fire weather. The effects of forest fires creates a very lasting impact on the environment as it leads to deforestation and global warming, which is also one of its major cause of occurrence. Forest fires are dealt by collecting the satellite images of forest and if there is any emergency caused by the fires then the authorities are notified to mitigate its effects. In this work, we will be exploring various Data Mining (DM) approaches to predict the burnt area of forest fires. Five different DM techniques, e.g. Support Vector Machines (SVM) and Random Forests, and four distinct feature selection setups (using spatial, temporal, FWI components and weather attributes), were tested on recent real-world data.
"PREDICTING FOREST FIRES WITH DIFFERENT DATA MINING TECHNIQUES", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 4, page no.382 - 386, April-2020, Available :https://ijsdr.org/papers/IJSDR2004068.pdf
Volume 5
Issue 4,
April-2020
Pages : 382 - 386
Paper Reg. ID: IJSDR_191634
Published Paper Id: IJSDR2004068
Downloads: 000347260
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
