Post-wildfire vegetation cover change mapping for assessments of secondary disaster risks toward urban areas: case of Fort McMurray 2016

Ying Zhang; Sylvain G. Leblanc; Francis Canisius; Haoyu Fang; Maxim Fortin; Julie Lovitt

doi:10.1117/12.3027009

1 November 2024 Post-wildfire vegetation cover change mapping for assessments of secondary disaster risks toward urban areas: case of Fort McMurray 2016

Ying Zhang, Sylvain G. Leblanc, Francis Canisius, Haoyu Fang, Maxim Fortin, Julie Lovitt

Author Affiliations +

Proceedings Volume 13198, Remote Sensing Technologies and Applications in Urban Environments IX; 1319802 (2024) https://doi.org/10.1117/12.3027009
Event: Remote Sensing, 2024, Edinburgh, United Kingdom

Abstract

Post-wildfire vegetation cover damage and loss can escalate the risks of the secondary disasters such as flood, landslide, and water contamination, particularly in a major wildfire affected region where human settlements are situated. In assessments of the secondary disaster risks, the post-wildfire vegetation cover change is a key factor in influencing the distribution and intensity of the risks. In this work, a processing framework for mapping post-wildfire vegetation cover changes through information fusion has been generated and tested using Landsat8 and WorldView imagery data. The test site was the boreal forest region surrounding Fort McMurray, Alberta, Canada, affected by a massive wildfire in May 2016. The use of WorldView data revealed more variation details in distribution of the vegetation cover burn damages than use of Landsat data. Moreover, the uncertainty in vegetation burn severity using Landsat-based Differenced Normalized Burn Ratio (dNBR) index exists in the areas with low dNBR reading values due to the sub-pixel effect.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ying Zhang, Sylvain G. Leblanc, Francis Canisius, Haoyu Fang, Maxim Fortin, and Julie Lovitt "Post-wildfire vegetation cover change mapping for assessments of secondary disaster risks toward urban areas: case of Fort McMurray 2016", Proc. SPIE 13198, Remote Sensing Technologies and Applications in Urban Environments IX, 1319802 (1 November 2024); https://doi.org/10.1117/12.3027009

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE