Document


Title

A remote sensing-based approach to estimating the fire spread rate parameter for individual burn patch extraction
Document Type: Journal Article
Author(s): Michael L. Humber; Maria Zubkova; Louis Giglio
Publication Year: 2022

Cataloging Information

Keyword(s):
  • active fire
  • fire perimeter
  • fire spread
  • MODIS - Moderate Resolution Imaging Spectroradiometer
  • rate of spread
  • remote sensing
  • wildfire
Record Maintained By:
Record Last Modified: November 17, 2022
FRAMES Record Number: 66928

Description

For the past two decades, satellite-derived activef fire data have been used in a multitude of operational applications and in a large and growing body of research on the role of fire within the Earth system. More recent work with satellite-based active fire data has been directed toward estimating what are in effect broad-scale fire spread rates that are in turn used as an important temporal parameter for the extraction of individual-fire boundaries from burned area maps. Here we use data mining to identify active fire clusters that serve as an input to a fire spread reconstruction algorithm to derive optimal global fire spread rates suitable for fire-perimeter extraction. The spread rates calculated for the active fire clusters, which are useful for applications beyond perimeter extraction, correlate with the spread rates based on reference fire boundaries (R2 = .82, NRMSE = 2.6%) and are generally compatible with other studies, despite key differences in data acquisition methods and quantities measured.

Online Link(s):
Citation:
Humber, Michael; Zubkova, Maria; Giglio, Louis. 2022. A remote sensing-based approach to estimating the fire spread rate parameter for individual burn patch extraction. International Journal of Remote Sensing 43(2):649-673.