Satellite detection of tropical burning in Brazil

Matson, Michael; Holben, B. N.

doi:10.1080/01431168708948657

Cited by 84 publications

(25 citation statements)

References 5 publications

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“…Most of the studies conducted so far in the tropical countries using satellite data for forest fires including risk mapping and modeling have proved the usefulness of remote sensing both by medium resolution satellites (Tanaka et al, 1983;Milne, 1986;Ribed and Lopez, 1995) and the coarse resolution satellite NOAA-AVHRR (Muirhead and Cracknell, 1985;Matson and Holben, 1987;Chuvieco and Martin, 1994). In contrast to several such studies on fire detection and modeling attempted in different parts of the world (Ehrlich et al, 1997;Cochrane and Schulze, 1998;Nepstad et al, 1999;Vazquez and Moreno, 2001;Eva and Lambin, 2000;Setiawan et al, 2004), there are relatively few studies in the Indian region that actually analyzed the post-fire data and assessed the underlying causative factors.…”

Section: Introductionmentioning

confidence: 99%

Biophysical and anthropogenic controls of forest fires in the Deccan Plateau, India

Prasad

Badarinath

Eaturu

2008

Journal of Environmental Management

105

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Section: Introductionmentioning

confidence: 99%

Biophysical and anthropogenic controls of forest fires in the Deccan Plateau, India

Prasad

Badarinath

Eaturu

2008

Journal of Environmental Management

105

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“…With successive launches of the AVHRR series of sensors in the later part of the 1980s, that initial effort evolved into targeted fire detection from satellite (e.g. Malingreau et al, 1985;Muirhead and Cracknell, 1984;Flannigan and Vonder Haar, 1986;Matson and Holben, 1987). The 1990s saw increased activity in satellite fire remote sensing, not only from AVHRR (at 1-km nominal spatial resolution at nadir), but also from other similar polar orbiting satellite sensors such as the ATSR (Arino and Melinotte, 1995), as well as geostationary satellite sensors such as the GOES VAS (and later the IMG) series, whose observations are acquired at 4-km nominal spatial resolution at the sub-satellite point (e.g.…”

Section: Active Fire Detectionmentioning

confidence: 99%

Satellite contributions to the quantitative characterization of biomass burning for climate modeling

Ichoku

Kahn

Chin

2012

Atmospheric Research

107

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Characterization of biomass burning from space has been the subject of an extensive body of literature published over the last few decades. Given the importance of this topic, we review how satellite observations contribute toward improving the representation of biomass burning quantitatively in climate and air-quality modeling and assessment. Satellite observations related to biomass burning may be classified into five broad categories: (i) active fire location and energy release, (ii) burned areas and burn severity, (iii) smoke plume physical disposition, (iv) aerosol distribution and particle properties, and (v) trace gas concentrations. Each of these categories involves multiple parameters used in characterizing specific aspects of the biomass-burning phenomenon. Some of the parameters are merely qualitative, whereas others are quantitative, although all are essential for improving the scientific understanding of the overall distribution (both spatial and temporal) and impacts of biomass burning. Some of the qualitative satellite datasets, such as fire locations, aerosol index, and gas estimates have fairly long-term records. They date back as far as the 1970s, following the launches of the DMSP, Landsat, NOAA, and Nimbus series of earth observation satellites. Although there were additional satellite launches in the 1980s and 1990s, space-based retrieval of quantitative biomass burning data products began in earnest following the launch of Terra in December 1999. Starting in 2000, fire radiative power, aerosol optical thickness and particle properties over land, smoke plume injection height and profile, and essential trace gas concentrations at improved resolutions became available. The 2000s also saw a large list of other new satellite launches, including Aqua, Aura, Envisat, Parasol, and CALIPSO, carrying a host of sophisticated instruments providing high quality measurements of parameters related to biomass burning and other phenomena. These improved data products have enabled significant progress in the study of biomass burning from space. However, appreciable uncertainty remains in many of the measurements that still needs to be addressed. Nevertheless, climate and other atmospheric models are https://ntrs.nasa.gov/search.jsp?R=20120013651 2018-05-12T19:04:55+00:00Z 2 making significant adjustments to take advantage of quantitative satellite measurements in studying biomass burning activity, emissions, and impacts. New research directions should include not only improvements in satellite retrievals and modeling accuracies, but also increased synergy between them, such that satellite measurements can be directly input into models without requiring elaborate interpretation.

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“…En esta misma temática, el canal 3 del sensor AVHRR, situado en el infrarrojo medio, resulta muy adecuado para detectar focos de incendio, ya que en esta región del espectro -de acuerdo a la ley de Wien-se produce la máxima emitancia de las superficies muy calientes. Imágenes de esta banda espectral se han utilizado para seguir la evolución de grandes incendios en Indonesia (Malingreau, 1984) o en la Amazonia (Matson y Holben, 1987). -1985 1986 Figura 5.-Relación entre la evolución de los índices de vegetación (NDVI) y la humedad del combustible en una zona de praderas (tomado de Paltridge y Barber, 1988) Junto a los incendios forestales, una causa de grave preocupación ecológica es la deforestación de los bosques ecuatoriales, como consecuencia de la expansión de la frontera agraria.…”

Section: Corrección De Imágenes Avhrrunclassified

Teledetección, S.I.G. y Cambio Global

Chuvieco¹

2017

Geograph

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INTRODUCCION: LA IMPORTANCIA DEL ENFOQUE GLOBALTradicionalmente nuestra disciplina ha estado interesada en el estudio de las relaciones entre los diversos componentes, naturales y humanos, que forman el paisaje terrestre. Este enfoque integrado, convierte a la Geografía en una disciplina idonea para el estudio de los procesos globales, cada vez más protagonistas en la investigación medioambiental de los últimos años. Problemas que afectan profundamente a la opinión pública, como el deterioro de la capa de ozono, la lluvia ácida o la desertificación se contemplan, cada vez con más convicción, como procesos globales, en donde intervienen múltiples variables interrelacionadas sobre el planeta en su conjunto.Algunos ejemplos pueden ilustrar sobre la magnitud y complejidad de estos procesos, así como sobre sus consecuencias en el deterioro de la calidad de nuestro medio ambiente.Tomemos como modelo a los procesos de desertificación, de especial relevancia en nuestro país, el más afectado de la Comunidad Europea por este problema. Cuando hablamos de desertificiación hacemos referencia, a la vez, a un proceso natural y humano. Por un lado, estamos refiriéndonos a una consecuencia de condiciones climáticas inestables, en zonas semiáridas. Por otro, aludimos a un proceso de deterioro ambiental causado directamente por el hombre, al realizar una gestión inadecuada de estos espacios frágiles. En conjunto, se estima en unos 60.000 km2 los perdidos anualmente por procesos de desertificación, y en unos 30.000.000 km2 los potencialmente afectables por este proceso (Kemp, 1990). Junto a los factores naturales (cambio climático), las causas de la desertificación se relacionan estrechamente con unas prácticas agrarias inapropiadas ( fig. 1): sobrepastoreo, deforestación, roturación de tierras marginales, regadíos no controlados, etc. que causan la erosión del componente más vital del suelo, o su salinización, y una pérdida, a veces irreversible, del sustrato vegetal.

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Satellite detection of tropical burning in Brazil

Cited by 84 publications

References 5 publications

Biophysical and anthropogenic controls of forest fires in the Deccan Plateau, India

Biophysical and anthropogenic controls of forest fires in the Deccan Plateau, India

Satellite contributions to the quantitative characterization of biomass burning for climate modeling

Teledetección, S.I.G. y Cambio Global

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