Due to rapid climate change, wildfires are an increasing risk to human life and economy. To prevent their occurrence and reduce their intensity, computational methods have been developed to study and simulate wildfire spread. Medium scale experiments and thermogravimetric analysis is conducted for Pinus Sylvestris Needle. Results from numerical analysis using level set model were validated using experimental data. And a parametric study was performed to study the effect of fuel moisture fraction, wind and slope to surface vegetation fire behaviour. Numerical data, including temperature and rate of spread, are analysed and limitations of model is also discussed.