Remote sensing-modelisation approach for diurnal estimation of burnt biomass in the Central African Republic Savanna

Autor:	J. Fontan, M. Moula, J. M. Brustet
Rok vydání:	1996
Předmět:	Atmospheric Science Biomass (ecology) Meteorology Diurnal temperature variation Mesoscale meteorology Atmosphere Remote sensing (archaeology) Atmospheric chemistry Spatial ecology Environmental Chemistry Environmental science Satellite Physics::Atmospheric and Oceanic Physics Remote sensing
Zdroj:	Journal of Atmospheric Chemistry. 25:1-19
ISSN:	1573-0662 0167-7764
Popis:	Experimental studies and mesoscale modeling of atmospheric chemistry require a good knowledge of the sources of the atmospheric constituent, at a temporal scale of about one hour and at a spatial scale corresponding to the model grid. A combined remote sensing/modeling approach for the estimation of the diurnal distribution of the amount of biomass burning in Central African Republic (C.A.R.) savanna fires is proposed. The fire propagation model (BEHAVE) developed by Rothermel was adapted to the fuel characteristics encountered in C.A.R. Ground and airborne measurements with satellite images (NOAA/AVHRR) were used to predict an accurate estimate of the burnt biomass. This combination allows the calculation of the distribution of the number of fires during the day providing an evaluation of the instantaneous fluxes of the compounds emitted in the atmosphere by these fires.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8bf2f69d7e31213d946c70b0a95396d6 https://doi.org/10.1007/bf00053283 Zobrazit plný text záznamu Full text from SpringerLink