Identifying individual fires from satellite-derived burned area data

Joana M.P. Nogueira, Julien Ruffault, Emilio Chuvieco, Florent Mouillot, David Frantz, Marion Stellmes, Achim Röder, Joachim Hill, Sander Veraverbeke, Fernando Sedano, Simon J. Hook, James T. Randerson, Yufang Jin, Brendan M. Rogers, Duarte Oom, Pedro C Silva, Ioannis Bistinas, José M C Pereira, Stijn Hantson, Salvador PueyoEmilio Chuvieco, S Archibald, D. P. Roy

Research output: Chapter in Book / Report / Conference proceedingChapterAcademic

Abstract

High temporal resolution information on burnt area is needed to improve fire behaviour and emissions models.Weused the Moderate Resolution Imaging Spectroradiometer (MODIS) thermal anomaly and active fire product (MO(Y)D14) as input to a kriging interpolation to derive continuous maps of the timing of burnt area for 16 large wildland fires. For each fire, parameters for the kriging model were defined using variogram analysis. The optimal number of observations used to estimate a pixel’s time of burning varied between four and six among the fires studied. The median standard error from kriging ranged between 0.80 and 3.56 days and the median standard error from geolocation uncertainty was between 0.34 and 2.72 days. For nine fires in the south-western US, the accuracy of the kriging model was assessed using high spatial resolution daily fire perimeter data available from the US Forest Service. For these nine fires, we also assessed the temporal reporting accuracy of the MODIS burnt area products (MCD45A1 and MCD64A1). Averaged over the nine fires, the kriging method correctly mapped 73% of the pixels within the accuracy of a single day, compared with 33% for MCD45A1 and 53% for MCD64A1. Systematic application of this algorithm to wildland fires in the future may lead to new information about vegetation, climate and topographic controls on fire behaviour.
Original languageEnglish
Title of host publicationRemote Sensing
Pages160-163
Number of pages4
DOIs
Publication statusPublished - 2016

Publication series

NameRemote Sensing
Volume9

Keywords

  • Burned patch
  • ESA FIRE_CCI
  • Fire
  • Fire ecology
  • Fire size distribution
  • LANDSAT
  • MODIS MCD45A1
  • Patch indices
  • Patch shape
  • Power law
  • Remote sensing
  • SOC
  • Savannas
  • Self-organized criticality
  • Southern Africa
  • Wildland fire
  • active fire
  • algorithm
  • carbon emissions
  • fire event
  • fire growth
  • fire propagation
  • fire regime
  • fire size distribution
  • fire spread
  • gini coefficient
  • ignition point
  • modis
  • time-gap

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