Integrated active fire retrievals and biomass burning emissions using complementary near-coincident ground, airborne and spaceborne sensor data

Schroeder, Wilfrid; Ellicott, Evan; Ichoku, Charles; Ellison, Luke; Dickinson, Matthew B.; Ottmar, Roger D.; Clements, Craig B.; Hall, Dianne; Ambrosia, Vincent G.; Kremens, Robert L.

doi:10.1016/j.rse.2013.10.010

Cited by 43 publications

(47 citation statements)

References 44 publications

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“…MODIS FRP is often underestimated (Kahn et al, 2008;Schroeder et al, 2014). This underestimation seems to be more significant for large fires, because of the opacity effect whereby the smoke hinders the remote detection of thermal anomalies at the surface.…”

Section: Discussionmentioning

confidence: 99%

Two global data sets of daily fire emission injection heights since 2003

Rémy¹,

Veira²,

Paugam³

et al. 2017

Atmos. Chem. Phys.

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Abstract. The Global Fire Assimilation System (GFAS) assimilates fire radiative power (FRP) observations from satellite-based sensors to produce daily estimates of biomass burning emissions. It has been extended to include information about injection heights derived from fire observations and meteorological information from the operational weather forecasts of ECMWF.Injection heights are provided by two distinct methods: the Integrated Monitoring and Modelling System for wildland fires (IS4FIRES) parameterisation and the one-dimensional plume rise model (PRM). A global database of daily biomass burning emissions and injection heights at 0

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Section: Discussionmentioning

confidence: 99%

Two global data sets of daily fire emission injection heights since 2003

Rémy¹,

Veira²,

Paugam³

et al. 2017

Atmos. Chem. Phys.

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“…4.4. Hence, for grid cells with good fits, R fre only needs to be multiplied by C e to derive the smoke emission rate R sa , even in near-real time, bearing in mind the possibility of large biases due to the inherent differences in individual fire characteristics even within the same fire regime (e.g., Schroeder et al, 2014).…”

Section: Algorithm Logic For C E Calculationmentioning

confidence: 99%

“…4.4. However, another issue that can potentially affect the result, though it is not directly related to this τ f a550 algorithm, is the fact that nearsource thick smoke plumes are occasionally misclassified as clouds and therefore omitted in the collection 5 MODIS aerosol product (e.g., Livingston et al, 2014;Schroeder et al, 2014). For instance, if any of the four downwind pixels in a 3 × 3 matrix has no AOT value, this could lead to underestimation of τ f a550 and consequently also of M sa and R sa for the specific plume unit being analyzed.…”

Section: First Stage: Pixel-level Data Analysismentioning

confidence: 99%

“…Before the advent of satellite remote sensing, smoke emissions were estimated through small-scale biomass burning experiments, modeling, or by approximation based on proxy data such as population or cultural practices (e.g., Seiler and Crutzen, 1980;Hao and Liu, 1994;Liousse et al, 1996). The satellite era has brought significant improvement in biomass burning characterization and emissions estimation (e.g., Dozier, 1981;Prins and Menzel, 1992;Justice et al, 1993Justice et al, , 2002Cahoon et al, 1994;Kaufman et al, 1998;Giglio et al, 2003Giglio et al, , 2008Wooster et al, 2003Ito and Penner, 2004;Ichoku and Kaufman, 2005;Ichoku et al, , 2012Schroeder et al, 2005Schroeder et al, , 2014van der Werf et al, 2006van der Werf et al, , 2010Giglio, 2007;Roberts and Wooster, 2008;Zhang et al, 2008;Reid et al, 2009;Vermote et al, 2009;Kaiser et al, 2012).…”

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confidence: 99%

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Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements

2014

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Abstract. Fire emissions estimates have long been based on bottom-up approaches that are not only complex, but also fraught with compounding uncertainties. We present the development of a global gridded (1 • × 1 • ) emission coefficients (C e ) product for smoke total particulate matter (TPM) based on a top-down approach using coincident measurements of fire radiative power (FRP) and aerosol optical thickness (AOT) from the Moderate-resolution Imaging Spectroradiometer (MODIS) sensors aboard the Terra and Aqua satellites. This new Fire Energetics and Emissions Research version 1.0 (FEER.v1) C e product has now been released to the community and can be obtained from http://feer.gsfc. nasa.gov/, along with the corresponding 1-to-1 mapping of their quality assurance (QA) flags that will enable the C e values to be filtered by quality for use in various applications. The regional averages of C e values for different ecosystem types were found to be in the ranges of 16-21 g MJ −1 for savanna and grasslands, 15-32 g MJ −1 for tropical forest, 9-12 g MJ −1 for North American boreal forest, and 18-26 g MJ −1 for Russian boreal forest, croplands and natural vegetation. The FEER.v1 C e product was multiplied by time-integrated FRP data to calculate regional smoke TPM emissions, which were compared with equivalent emissions products from three existing inventories. FEER.v1 showed higher and more reasonable smoke TPM estimates than two other emissions inventories that are based on bottom-up approaches and already reported in the literature to be too low, but portrayed an overall reasonable agreement with another top-down approach. This suggests that top-down approaches may hold better promise and need to be further developed to accelerate the reduction of uncertainty associated with fire emissions estimation in air-quality and climate research and applications. Results of the analysis of FEER.v1 data for [2004][2005][2006][2007][2008][2009][2010][2011] show that 65-85 Tg yr −1 of TPM is emitted globally from open biomass burning, with a generally decreasing trend over this short time period. The FEER.v1 C e product is the first global gridded product in the family of "emission factors", that is based essentially on satellite measurements, and requires only direct satellite FRP measurements of an actively burning fire anywhere to evaluate its emission rate in near-real time, which is essential for operational activities, such as the monitoring and forecasting of smoke emission impacts on air quality.

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“…Desta forma, torna-se importante quantificá-la com o intuito de compreender seus impactos nos diferentes biomas e no clima (Schroeder et al, 2014). Quanto à sua origem, 90% das queimadas são ocasionadas pelo homem e os 10% restantes são relacionados a acidentes ou causas naturais, como raios e combustão espontânea (Andreae e Merlet, 2001).…”

Section: Introductionunclassified

Controle De Qualidade Posicional Em Dados Espaciais Utilizando Feições Lineares

SANTOS¹,

MEDEIROS²,

SANTOS³

et al. 2015

Bol. Ciênc. Geod.

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Resumo:Nas últimas duas décadas, o uso de feições lineares tem sido frequentemente investigado no controle de qualidade cartográfica, sendo que diversos métodos foram propostos para tal finalidade. Neste sentido, o presente trabalho tem como objetivo descrever os métodos da Banda Épsilon (Método das Áreas), do Buffer Simples, do Buffer Duplo, da Distância de Hausdorff e da Influência do Vértice na avaliação da acurácia planimétrica através de feições lineares, utilizando como padrão o Decreto-lei nº 89.817 aliada à ET-ADGV, e ao final, compará-los com o método tradicional por pontos. Para tanto, foi avaliada a acurácia posicional planimétrica de uma ortoimagem Ikonos, onde os resultados obtidos mostraram que os métodos da Banda Épsilon, Distância de Hausdorff e Influência do Vértice apresentaram resultados similares, obtendo-se classificação Classe B na escala 1:10.000. Já os métodos Buffer Simples e Buffer Duplo apresentaram resultados semelhantes ao método tradicional por pontos, que por sua vez, foram mais restritivos que os métodos anteriormente citados, classificando a ortoimagem como Classe C na escala 1:10.000. Palavras-chave:Controle de Qualidade Cartográfica; Acurácia Posicional; Feição Linear. Abstract:In the past two decades, the use of linear features has often been investigated in cartographic quality control, and various methods have been proposed for such a purpose. In this sense, this paper aims at describing the methods of the Epsilon Band (areas' method), Simple Buffer, showed that the methods of the Epsilon Band, Hausdorff's Distance and Vertex's Influence presented similar results, obtaining "class B" rating on the scale 1: 10,000. On the other hand the methods Simple Buffer and Double Buffer presented similar results to traditional method by points, which in turn were more restrictive than the previously mentioned methods, classifying the orthoimage as "Class C" in 1: 10,000 scale.Keywords: Cartography Quality Control; Positional Accuracy; Linear Feature. INTRODUÇÃOCom a demanda cada vez maior de informações espaciais, cresce a cada dia a disponibilidade de dados espaciais de forma gratuita, equipamentos de medição de fácil utilização e softwares cada vez mais amigáveis. Diante de todo este aparato, fica muito facilitada a manipulação e geração da informação geográfica, o que possibilita que usuários ou empresas, ainda que não detentores de formação técnica especializada em produção cartográfica exerçam tal atividade. É neste sentido que Galo & Camargo (1994), Santos (2010) e Lunardi et al. (2012) observam que o cuidado com a qualidade, seja ela posicional, geométrica, temporal ou de atributo, pode ser esquecido no processo de análise ou produção de dados espaciais. Goodchild (2010) ressalta a importância do controle de qualidade ao investigar dados espaciais de modo a garantir e especificar a qualidade e acurácia dos mesmos, explicitando discrepâncias, omissões e incertezas, bem como definindo sua finalidade. Tanto na avaliação da acurácia posicional em dados cartográficos quanto no proce...

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Integrated active fire retrievals and biomass burning emissions using complementary near-coincident ground, airborne and spaceborne sensor data

Cited by 43 publications

References 44 publications

Two global data sets of daily fire emission injection heights since 2003

Two global data sets of daily fire emission injection heights since 2003

Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements

Controle De Qualidade Posicional Em Dados Espaciais Utilizando Feições Lineares

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