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New GOES imager algorithms for cloud and active fire detection and fire radiative power assessment across North, South and Central America by W. Xu; M.J. Wooster; G. Roberts; P. Freeborn is a Environmental Science article available to read on EtoBox.

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Vegetation fires are a key global terrestrial disturbance factor and a major source of atmospheric trace gases and aerosols. Therefore, many earth-system science and operational monitoring applications require access to repetitive, frequent and well-characterized information on fire emissions source strengths. Geostationary imagers offer important temporal advantages when studying rapidly changing phenomena such as vegetation fires. Here we present a new algorithm for detecting and characterising active fires burning within the imager footprints of the Geostationary Operational Environmental Satellites (GOES), including consideration of cloud-cover and calculation of fire radiative power (FRP), a metric shown to be strongly related to fuel consumption and smoke emission rates. The approach is based on a set of algorithms now delivering near real time (NRT) operational FRP products from the Meteosat Spinning Enhanced Visible and Infra-Red Imager (SEVIRI) imager (available from http://landsaf.meteo.pt/), and the GOES processing chain presented here is designed to deliver a compatible fire product to complete geostationary coverage of the Western hemisphere. Results from the two GOES

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Author

W. Xu; M.J. Wooster; G. Roberts; P. Freeborn

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0034-4257)

Published

2010

Language

EN

Field

Environmental Science (Physical Sciences)