Presentation Year

2018

Depreciated Participant

John CortenbachEnvironmental Science and ManagementUndergraduate Student,Richard WilliamsEnvironmental Resources EngineeringUndergraduate Student,Buddhika MadurapperumaForestry and Wildland Resources/ Environmental Science and ManagementFaculty

College or Department

Short Description of your Research or Creative Project (700 characters or less)

This study examines the Santa Rosa fire in 2017 using remote sensing techniques to estimate the acreage of burned areas. Landsat 8 imagery of the pre- and post- fires were used to extrapolate the burn severity using two methods: (i) Normalized Burn Ratio (dNBR) and (ii) change detection analysis. The results of burn severity of both methods were on average 24% under-approximated comparison to values supplied by Cal Fire. While comparing acreage burn, provided by CAL FIRE indicates that our results were on average 76% ±8% accuracy in identifying burn severity. Of the two methods, the change detection using iso clustered unsupervised classification scheme was more accurate.

Permission to Publish Work

Yes

Node ID

343

Page Classification