Continental Africa Biomass Burning Temporal Dynamics derived from MSG SEVIRI

G. Roberts, M. J. Wooster, E. Lagoudakis, P. Freeborn, W. Xu

Research output: Chapter in Book/Report/Conference proceedingConference paper

1 Citation (Scopus)

Abstract

An analysis of one year of METEOSAT Spinning Enhanced Visible and Infrared Imager (SEVIRI) active fire data is presented Fire Radiative Power (FRP) observations, acquired at a 15-minute time interval and 3 km spatial resolution, are used to estimate the total amount of African biomass combustion African biomass combustion between February 2004 and January 2005 is estimated to be at least 855 million tonnes FRP-derived biomass combustion estimates at a 1-degree spatial scale are found to be less than 2 kg/m(2). In savanna grasslands the FRP-derived median fuel consumption estimate of 300 g/m(2) is in good agreement with literature values. Analysis of fire pixel temporal persistence indicates that the majority of African fires are detected only once in consecutive 15 minute images Fire pixel duration is longest during the peak biomass burning, season with a greater proportion of pixels detected only once during the wet season. An investigation of the variability of the diurnal fire cycle is carried out with respect to land cover type, and whilst differences arc noted between land covers, the diurnal characteristics for a given land cover type are similar in both African hemispheres.
Original languageEnglish
Title of host publicationUnknown
Place of PublicationNEW YORK
PublisherIEEE
Pages1458 - 1461
Number of pages4
Volume3
ISBN (Print)978-1-4244-3394-0
Publication statusPublished - 2009
EventIEEE International Geoscience and Remote Sensing Symposium - Cape Town, South Africa
Duration: 12 Jul 200917 Jul 2009

Publication series

Name2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium
Country/TerritorySouth Africa
CityCape Town
Period12/07/200917/07/2009

Fingerprint

Dive into the research topics of 'Continental Africa Biomass Burning Temporal Dynamics derived from MSG SEVIRI'. Together they form a unique fingerprint.

Cite this