Skip to Main Content
Integrating satellite imagery with simulation modeling to improve burn severity mappingAuthor(s): Eva C. Karau; Pamela G. Sikkink; Robert E. Keane; Gregory K. Dillon
Source: Environmental Management. 54(1): 98-111.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
PDF: Download Publication (1006.0 KB)
DescriptionBoth satellite imagery and spatial fire effects models are valuable tools for generating burn severity maps that are useful to fire scientists and resource managers. The purpose of this study was to test a new mapping approach that integrates imagery and modeling to create more accurate burn severity maps. We developed and assessed a statistical model that combines the Relative differenced Normalized Burn Ratio, a satellite image-based change detection procedure commonly used to map burn severity, with output from the Fire Hazard and Risk Model, a simulation model that estimates fire effects at a landscape scale. Using 285 Composite Burn Index (CBI) plots in Washington and Montana as ground reference, we found that an integrated model explained more variability in CBI (R2 = 0.47) and had lower mean squared error (MSE = 0.28) than image (R2 = 0.42 and MSE = 0.30) or simulation-based models (R2 = 0.07 and MSE = 0.49) alone. Overall map accuracy was also highest for maps created with the Integrated Model (63 %). We suspect that Simulation Model performance would greatly improve with higher quality and more accurate spatial input data. Results of this study indicate the potential benefit of combining satellite image-based methods with a fire effects simulation model to create improved burn severity maps.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationKarau, Eva C.; Sikkink, Pamela G.; Keane, Robert E.; Dillon, Gregory K. 2014. Integrating satellite imagery with simulation modeling to improve burn severity mapping. Environmental Management. 54(1): 98-111.
Keywordsburn severity mapping, fire effects, modeling, RdNBR
- Giving ecological meaning to satellite-derived fire severity metrics across North American forests
- Burn severity mapping using simulation modeling and satellite imagery
- How robust are burn severity indices when applied in a new region? Evaluation of alternate field-based and remote-sensing methods
XML: View XML